bluuebunny/crossref_metadata_2025 huggingface dataset:
Advances in DeepFake Detection: Leveraging InceptionResNetV2 for Reliable Video Authentication
Authors: Mad Sahar Nan , Mohd Rozi Muhammad Faris Syazwan , Suriani Nor Surayahani , Sari Suhaila , Ismail Shuhaida , Jamal Azrul Amri , Aleesa Ahmed Marwan
Published: October 2024

With the widespread availability of free AI-powered mobile applications, the creation of realistic and deceptive videos known as "DeepFakes" has become increasingly effortless. Detecting the authenticity of such videos poses a formidable challenge due to the scarcity of discernible traces. In this study, we delve into the application of an image processing algorithm, specifically InceptionResNetV2, for deepfake detection in videos. The amalgamation of ResNet and Inception models in InceptionResNetV2 yields superior accuracy, making it an ideal choice for our investigation. Our research entails the development of an Android-based application employing the proposed algorithm, with MIT App Inventor for application creation and Google Colab for the prediction model. Furthermore, we conduct a thorough evaluation of the application's performance in detecting deepfake videos, employing three models-InceptionResNetV2, EfficientNetB0, and ResNet50-across two datasets: DFDC and CelebDF, totalling 400 datasets. Notably, InceptionResNetV2 outperformed the other models, achieving an accuracy of 93.20% for the DFDC dataset and an impressive accuracy of 97.72% for the CelebDF dataset. Conversely, ResNet50 exhibited the lowest accuracy for the DFDC dataset, at a mere 52.28%, while EfficientNetB0 displayed the lowest accuracy for the CelebDF dataset, measuring 30.81%. This journal publication sheds light on the advancements in deepfake detection, focusing on the efficacy of InceptionResNetV2 as a powerful tool for reliable video authentication and providing valuable insights into the comparative performance of different models in tackling this complex issue.
The Application of Qr Codes at Selected Malacca Heritage Mosques for Interactive Educational Tourism
Authors: Rozali Nur Fadhilah , Yaman Maheran , Abdullah Fadzidah , Basha Brunilda
Published: October 2024

Educational Tourism in heritage mosques is a form of tourism activity that emphasizes educational content to fulfill tourists' experiences and knowledge in heritage buildings, while interactive educational tourism is a form of approach using tourism activities, programs, historical, architectural, and cultural traits. However, interactive multimedia and technology features do not fully engage with the Malacca heritage mosques for interactive educational tourism, as tourists need to rely on printed materials, word-of-mouth by locals, or reviews from travel websites. These limited sources and non-updated information resulted in tourists being dissatisfied with the visits, hence not achieving their learning experiences, and less promoting of interactive educational tourism. Therefore, this study aims to introduce the use of QR Codes linked to online information websites at selected Malacca heritage mosques to improve tourists' learning experiences in historical and cultural heritage attributes and promote interactive educational tourism at heritage buildings. For this research, a mixed-method approach of questionnaire survey and semi-structured interview is used. and distributed using online and on-site approaches and the result of 350 surveys indicates that 44.9% of tourists agreed QR Codes can be used to access information about selected Malacca heritage mosques. 44.9% of tourists also agreed that QR Codes are viewed as a medium to access the content and as a ‘gateway’ to interactive educational tourism using digital applications. This is also agreed by the interviewees that QR Codes help tourists access information on selected Malacca heritage mosques through interactive websites that display updated and consistent content regarding the historical and cultural attributes of the heritage mosques. The study’s contribution lies in the effectiveness of using QR Codes as a platform to disseminate information about heritage buildings through interactive multimedia and updated sources on websites. This approach has been shown to increase tourists’ interest in using QR Codes, as evidenced by the feedback surveys and interview sessions. Recent studies and tourists’ survey feedback indicate that this approach enhances tourists’ information retrieval by providing easy access to interactive and updated content through QR Codes. This improvement facilitates experiential learning, personalized experiences, enriched visual engagement, and increased motivation for tourists to revisit the places.
Non-Invasive Fetal Well-Being Monitoring Based Signals Approaches: A Mini Review
Authors: Jumadi Nur Anida , Ng Li Mun , Ali Junaid
Published: October 2024

Fetal monitoring is essential to ensure the well-being of both mother and fetal. This paper reviews the existing non-invasive fetal well-being monitoring based signal techniques. The current state of knowledge on fetal monitoring is summarised. Limitations and drawbacks of the research work involving existing fetal monitoring reviewed are discussed in the paper. A search strategy is conducted by using Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology which involves the search in six databases namely, ACM, Emerald Publishing, IEEE Explore Digital Library, Science Direct, Scopus, and Springer. A total of 234 studies are identified and only 10 studies are included in the review study after the eligibility assessment. The findings presented reveal the limitations of the current technologies regarding fetal monitoring. Based on the review, it can be concluded that fetal electrocardiography (fECG) and transabdominal fetal pulse oximetry (TfPO) outperform other approaches in fetal well-being monitoring and should be the focus of future biomedical research. Future research on fECG should emphasise the search for the ideal number of electrodes and proper placement configuration to capture the best fetal signal quality in fetal monitoring. Meanwhile, continuous development of photoplethysmography (PPG)-based technique for TfPO ensures the enabling of the establishment of publicly available fetal PPG signals databases for the use of medical data in research.
Design of 2.4 GHz RF to 1.33 V DC Conversion Circuit for Energy Harvesting
Authors: Zainol Murad Sohiful Anuar , Azizan Anishaziela , Karim Jamilah , Sapawi Rohana
Published: October 2024

This paper presents the design of a circuit for energy harvesting that converts 2.4 GHz radio frequency (RF) to 1.33 V DC. The demand for self-sustainable low-power electronic devices requires power to be supplied continuously. The battery has a life circle and is not able to sustain for a long time. Therefore, radiofrequency (RF) is one of the energy sources that can be obtained at any desired voltage for no cost and is widely available. A voltage regulator, charge pump, and rectifier make up the suggested circuit. All circuits are designed using 0.13-μm CMOS process. To convert the antenna's 2.4 GHz RF voltage to DC voltage, an RF rectifier is needed. After the rectifier's DC voltage is increased by the charge pump, the voltage regulator regulates the DC output voltage to the intended output value. At the voltage regulator, the desired DC output voltage will be controlled. The simulation's outcome demonstrates that an RF-DC rectifier circuit operating at 2.4 GHz frequency and a 10 kΩ load resistor may provide a DC output voltage of 78.51 mV. Next, the charge pump increased the rectifier's output voltage to 1.39 V. Lastly, the voltage regulator controlled the charge pump's output to produce a steady DC output of 1.33 V.
Effect of Applying the YOLO Object Recognition System for Developed Lake Underwater Images Database
Authors: Sari Suhaila , Nor Azlin Nor Azrai Imran , Md Taujuddin Nik Shahidah Afifi , Roslan Hazli , Mohd Muji Siti Zarina , Sahar Nan Mad , Haji Mohd Mohd Norzali , Khan Fawad Salam
Published: October 2024

There are differences between underwater physical particles at the seas and lakes, where lakes underwater tend to be more brownish or greenish because lakes are inland bodies of water which do not have direct contact with the seas. Lake underwater image databases with higher turbidity images are difficult to find. Thus, there is a need to create a dataset for this kind of images to be used for real lake underwater research. For application such as underwater robot, it a system is needed that can distinguish objects in the lake when looking for them. As for object selection for this database, the objects are selected based on the assumption that these kinds of objects may fall into the lake and there is a need to search and find them back. Therefore, a method that could recognize these kinds of objects are important in underwater searching process. The study's goal is to develop an image database for lake underwater images and investigate the accuracy of object recognition system in acquired different lake underwater conditions. The YOLOv3 has been used in this study as a method of identifying the object in the image. The total of 315 images are used, where the ratio is 80% for training and 20% for testing. The tools utilized in this study are the LabelImg and Google Colaboratory softwares. According to the result and analysis, when testing with all of the experiments under various lake underwater settings, YOLOv3 has achieved overall accuracy of 92.32% for given underwater conditions.
Modified RESNET50 with Attention Module for Detection and Classification of Pests in Vegetable Crops
Authors: R. Prabha , K. Selvan
Published: October 2024

The agricultural sector plays a pivotal role in ensuring global food security. This study addresses the significant challenge of pest infestations in vegetable crops by automating pest identification and classification through deep learning techniques. We utilize a state-of-the-art Convolutional Neural Network (CNN), specifically a Modified ResNet50 architecture enhanced with an Adversarial Attention Module. This approach is designed to improve feature extraction and model performance. The purpose of our study is to develop and evaluate a model that can accurately identify and classify pest species, thereby aiding in timely pest management. The ResNet50 backbone, pre-trained on an extensive dataset of pest-crop interactions, is augmented with an attention module to refine its capabilities. Performance is evaluated on a hold-out dataset of previously unseen images, where the Modified ResNet50 achieves a classification accuracy of [insert quantitative result, e.g., 92%]. Comparative analysis shows that our model outperforms other deep learning models by [insert quantitative result, e.g., 5%] in precision and recall metrics. This research contributes to precision agriculture by offering a more effective and environmentally friendly pest identification solution, which supports improved pest management strategies and enhances global food security.
Work in Progress: Inculcating Empathy through Team-Based Problem Solving in Cooperative Problem Based Learning Classroom
Authors: Mohd Yusof Khairiyah , Jumari Nur Fazirah , Samsuri Nur Shahira , Tengku Malim Busu Tengku Nur Zulaikha
Published: October 2024

The role of empathy as a major part of emotional intelligence is widely explored in engineering education research. Despite numbers of research on empathy development during classroom, the link between empathy and cooperative problem-based learning classroom are not highlighted. Thus, in this paper, an attempt of first step in covering this gap emphasis on the qualitative data of their reflective thinking towards their difficulties in solving the problem and seeking help. The right meaning of empathy in the context of team working is developed and conceptual framework based on social learning theory for future qualitative method was presented.
CRIMINOLOGICAL VIEW ON THE PROBLEM OF THE EXPANSION OF CHILD PORNOGRAPHY IN MODERN RUSSIA
Authors: Kochkina Mariya
Published: October 2024

Introduction: in the article, the author analyzes the impact of the expansion of Western culture on the production and circulation of child pornography; the content and social harmfulness of mass culture.

Materials and Methods: the work used general scientific and specific scientific methods including system-structural analysis, content analysis, generalization, comparison, etc. The research materials are scientific literature and works of modern popular culture.

Literature review: the scientific basis of the study was the works of Yu.M. Antonyan, A.R. Valentonis, A.V. Polshikova and others.

Results: the article analyzes the works of modern mass culture and examines its negative impact on the spiritual and moral sphere of both children and adults. A conclusion is made about the existence of a relationship between the expansion of Western culture and the commission of crimes related to the production and trafficking of child pornography.

Discussions and Conclusions: the author concludes that it is necessary to prohibit the broadcast on state television and radio channels and in other media of information products that sexualize children and describe sexual relations with them.
BEYOND THE NUMBERS: WHAT DOES ECONOMIC CRIME STATISTICS HIDE?
Authors: Molchanova Tatiana
Published: October 2024

Introduction: the article is devoted to the study of changes in the level and dynamics of crimes and their perpetrators in the sphere of economic activity. Special attention is paid to the organised nature of committing crimes in the sphere of economic activity.

Materials and Methods: as an empirical base we used separate forms of statistical observation of the GIAC of the Ministry of Internal Affairs of Russia for the period 2013 - 2023, the data were analysed using the statistical method.

Results: the model of the research process of assessing the state of crime in the sphere of economic activity and individual factors affecting its change is presented. The object of our scientific interest in the article, among other things, was the analysis of the dynamics of persons committing crimes as part of an organised group and criminal association over the past 11 years. The author drew attention to the fact that the most ‘invisible’ part of latent criminality is recorded mainly in the segment of economic relations, and the concealment and concealability of offences under Chapter 22 of the Criminal Code of the RF is several times higher than in many other types of criminal activity. On the example of Chapter 22 of the Criminal Code of the Russian Federation it is demonstrated that the insignificant number of crimes in the sphere of economic activity fixed by statistics sometimes leads to their biased and unreliable interpretation.

Discussion and Conclusions: the author concluded that:

1. Numerical indicators of crimes in the sphere of economic activity indicate the instability of the dynamics of detection and registration of crimes under Chapter 22 of the Criminal Code of the Russian Federation for a period of 11 years.

2. The quantitative dynamics of persons who have committed crimes in the economic sphere reveals, in general, a tendency to a stable increase.

3. Organised crime in the modern context acts not just as a set of criminal actions, but as a key component of the sphere of economic activity.
CRIME PREVENTION IN THE RUSSIAN FEDERATION AND FOREIGN COUNTRIES: CONCEPT, ESSENCE, IMPLEMENTATION MECHANISM
Authors: Yakovleva Margarita , Korsikova Natalia
Published: October 2024

Introduction: the article presents a comprehensive criminological study of the national, foreign crime prevention with a focus on the internal affairs bodies of the Russian Federation, the reflection of identical and opposite positions of the legislator and law enforcer in relation to crime prevention in certain areas. The peculiarities of the current state of this system are presented, foreign aspects identical and different from the Russian system of crime prevention are reflected.

Materials and Methods: to achieve proper study results the author used comparative-legal, historical, statistical, and logic.

Results: the article carries out a criminological rethinking of the institution of crime prevention taking into account the current state of crime problems both in Russia and in some foreign countries; it characterises this phenomenon from the position of prevention of the most dangerous acts for society with the consideration of some aspects of prevention not developed in criminology, which predetermined the content of the article and the focus of the authors' proposals to improve crime prevention in the Russian Federation.

Discussion and Conclusions: the article formulates a position regarding the assessment of Russian, foreign criminological and victimological prevention, resocialisation, the role in crime prevention of legal mechanisms of forecasting, programming, application of innovative technologies, artificial intelligence.
Dekonstruktives Fragen als Methode
Authors: Jelonnek Stefan J.
Published: October 2024

Dekonstruktion ist eine bestimmte Weise des Fragens, durch die vermeintlich eindeutige Weltbilder, politische Standpunkte oder wissenschaftliche Haltungen uvm. hinsichtlich ihrer Hintergrundannahmen,
Paradoxien und Mehrdeutigkeiten in ihrem feststehenden Aufbau aus dem Gleichgewicht gebracht werden sollen.
Revision of the North West province vegetation map
Authors: Desmet Philip , Hawley Greer , Dayaram Anisha , Power R. John , Heydenrych Reuben , Dzerefos Catherine M. , Schaller Ray , Hahn Norbert , Job Nancy
Published: October 2024

Background: The vegetation type boundaries in the North West province as they appear in the 2018 National Vegetation Map, for the most part, are derived from agricultural land types that were mapped in the 1980s.
Aim & objectives: Given (1) the importance the National Vegetation Map plays in conservation assessment and planning, as well as environmental planning and decision making; and (2) the map boundary errors reported by users, an update of the provincial vegetation map was considered necessary.
Methods: A vegetation identification key using high-level environmental parameters (in order of importance: flooding, bioregion, terrain, geology and soil) was developed. This key was used to manually interpret high-resolution colour aerial imagery, together with existing environmental spatial datasets (land types as a proxy for soils, simplified geology and terrain/land form). The existing vegetation type concepts are sound and are mostly retained in this map.
Results & conclusion: Changes to the map include: (1) all vegetation boundaries in the province are remapped; (2) Olea Sclerophyllous Forest is proposed as a sub type/community related to the Northern Afrotemperate Forest vegetation type; (3) two existing vegetation types currently not mapped as occurring in the province are brought into the province, namely, Subtropical Alluvial Vegetation and Waterberg Mountain Bushveld; and (4) three vegetation units recognised in previous vegetation studies and which are not indicated in the current National Vegetation Map are included here as new vegetation types, namely, Vryburg Thornveld, Morokweng Thornveld and Central Sandy Mountain Bushveld. The descriptions of all terrestrial vegetation types occurring in the province are also updated and an updated annotated global plant species list for the province is provided. Changes reflected in this vegetation map have been incorporated into the National Vegetation Map Version 2024 beta.
Computer vision based early fire-detection and firefighting mobile robots oriented for onsite construction
Authors: Kong Liulin , Li Jichao , Guo Shengyu , Zhou Xiaojie , Wu Di
Published: October 2024

Fires are one of the most dangerous hazards and the leading cause of death in construction sites. This paper proposes a video-based firefighting mobile robot (FFMR), which is designed to patrol the desired territory and will constantly observe for fire-related events to make sure the camera without any occlusions. Once a fire is detected, the early warning system will send sound and light signals instantly and the FFMR moves to the right place to fight the fire source using the extinguisher. To improve the accuracy and speed of fire detection, an improved YOLOv3-Tiny (namely as YOLOv3-Tiny-S) model is proposed by optimizing its network structure, introducing a Spatial Pyramid Pooling (SPP) module, and refining the multi-scale anchor mechanism. The experiments show the proposed YOLOv3-Tiny-S model based FFMR can detect a small fire target with relatively higher accuracy and faster speed under the occlusions by outdoor environment. The proposed FFMR can be helpful to disaster management systems, avoiding huge ecological and economic losses, as well as saving a lot of human lives.
The BKM criterion to the 3D double-diffusive magneto convection systems involving planar components
Authors: O Chol-Jun , Wu Fan
Published: October 2024

In this paper, we investigate the BKM type blowup criterion applied to 3D double-diffusive magneto convection systems. Specifically, we demonstrate that a unique local strong solution does not experience blow-up at time $T$, given that $(\nabla_{h}\tilde{u}, \nabla_{h}\tilde{b})\in L^2(0,T;\dot{B}^{-1}_{\infty,\infty})$. To prove this, we employ the logarithmic Sobolev inequality in the Besov spaces with negative indices and a well-known commutator estimate established by Kato and Ponce. This result is the further improvement and extension of the previous works by O (2021) and Wu (2023).
New Helminthosporium (Massarinaceae, Dothideomycetes) and Nigrospora (Incertae sedis, Sordariomycetes) species associated with walnut (Juglans regia L.) in China
Authors: Zou Mengting , Al-Otibi Fatimah , Hyde Kevin David , Wang Yong , Pan Xue-Jun
Published: October 2024

Six collections of ascomycetes were obtained from samples collected from dead branches and leaves ofJuglans regiain Guizhou and Yunnan provinces, China. By incorporating multigene phylogenetic analysis (ITS, LSU,rpb2, SSU,tef1-α,tub2) supplemented by morphological data, we establish two novel species, namelyHelminthosporium guizhouenseandNigrospora yunnanensis. In morphology,H. guizhouensecan be distinguished fromH. caespitosumby its narrower conidia (13–16 µm vs. 27.3–35.5 µm), andN. yunnanensisis characterized by black, globose conidia (16.2 × 14.4 µm). The phylogenetic results further substantiated them as novel taxa. The present study contributes to our comprehension of the range of fungi found inJuglans regia, thereby expanding our knowledge of the diversity of fungi within this host.
Three new species of Boesenbergia (Zingiberaceae) from Sabah, Malaysia
Authors: Lam Nyee Fan , Ibrahim Halijah , Sam Yen Yen , Mohammad Zakaria Rozainah , Poulsen Axel Dalberg
Published: October 2024

Three new species of Boesenbergia, B. bosuangiisp. nov., B. ganaensissp. nov. and B. gokusingiisp. nov. were discovered in Sabah, Malaysia. Boesenbergia bosuangii is similar to B. stenophylla R.M.Sm. in the narrowly ovate lamina but differs in the shape of the bract and the calyx. Boesenbergia ganaensis is closely allied to B. burttiana R.M.Sm. but differs in the absence of a ligule, the longer petiole, the obtuse leaf base, the acute leaf apex, the bilobed calyx and the anther dehiscing by pores. Finally, B. gokusingii is similar to B. variegata R.M.Sm., by the single leafy shoot but differs in having an unequal, ovate lamina, a cordate leaf base, an acute leaf apex and the anther dehiscing by pores. The three new species are described and illustrated in detail. With the addition of these new species, there are in total 13 species with one variety in Sabah.
Introducción. Mujeres indígenas y el trabajo asalariado en las tierras bajas sudamericanas, siglos XIX y XX
Authors: Córdoba Lorena , Franceschi Zelda Alice , Bonifacio Valentina
Published: October 2024

From the mid-19th century onwards, the acceleration of capitalist expansion in indigenous South America was driven by a series of extractive endeavors such as the rubber industry in the Bolivian Amazon, the dairy, meat and tannin industries in the Chaco, or the sugar and cotton industries in northern Argentina. These industrial enterprises advanced on indigenous territories that until then had been considered “frontiers”, “deserts” or “empty spaces”, and became key players in the final phase of their colonization. By relying on an interdisciplinary approach, the investigations gathered in this dossier aim to document and analyze the role of female wage labor in these macro-processes, aiming at questioning the hyper-masculinization of the industry’s canonical imaginary, restoring indigenous women’s agency in the extractive worlds, and to reposition it within the broader framework of South America’s general history.
La frontera ganadera y sus enclaves íntimos en el Chaco Paraguayo
Authors: Canova Paola
Published: October 2024

This article explores an imaginary of the Paraguayan Chaco as a liminal social and geographical region. This liminality is reproduced at multiple levels through transgression against nature, excess infrastructure and hypermasculine work experiences. Ranching enterprises contribute to the liminality of the region by becoming “intimate enclaves,” that is, spaces where intimate and unequal relationships between nature, humans and animals are forged, reproducing different rhythms of domination, violence and exploitation. The article delineates how these dynamics, which contribute to the expansion of the ranching frontier, manifest themselves in processes of deforestation and development of infrastructure, in the experiences of migrant workers, and in intimate relationships with indigenous women.
Visual archives, digitized visions, ethnography
Authors: Gribaldo Alessandra
Published: October 2024

Katherine Groo | Bad Film Histories: Ethnography and the Early Archive, Minneapolis-London, University of Minnesota Press, 2019, pp. 364; Catherine Russell (ed. by) | Sensing the Archive. Exploring the digital (im)materiality of the moving image archive. “Frames Cinema Journal”. Issue 19, Spring 2022, pp. 332; Ernst Karel and Veronika Kusumaryati | Expedition Content, 2020, 78’.
A Economia dos Royalties do Petróleo e os Fundos Soberanos Subnacionais de Riqueza: os casos dos municípios de Maricá e Niterói no Estado do Rio de Janeiro
Authors: Tramansoli Isabela , Siqueira Hipólita
Published: October 2024

Neste artigo, busca-se contribuir para o debate sobre a governança das rendas do petróleo e as capacidades institucionais do Estado para lidar com seus efeitos sobre o desenvolvimento regional. Analisa-se a recente criação de fundos soberanos de riqueza por municípios receptores de royalties do petróleo, Niterói e Maricá, no Estado do Rio de Janeiro (ERJ). Apoiando-se na perspectiva da “economia dos royalties” fluminense (PESSANHA, 2015), foram examinadas as legislações de criação e regulamentação desses fundos. Trata-se de iniciativa inovadora no contexto de governos subnacionais e com objetivos que pretendem preparar os municípios para o futuro “pós-royalties”.
Cooperação entre a República Popular da China e os Países Africanos de Língua Oficial Portuguesa (PALOP): um debate a partir de São Tomé e Príncipe
Authors: Santos Ayolsé Andrade Pires dos , Marroni Etiene Villela
Published: October 2024

O fim da Segunda Guerra Mundial, além de dividir o mundo em dois blocos (capitalismo e socialismo), marcou o começo de um sistema internacional caracterizado pelo surgimento de novas instituições, que passariam a regular as relações bilaterais e multilaterais entre os países. Da Segunda Grande Guerra aos dias atuais, o sistema de governança global tem tido diversos atores, que ao longo do tempo vêm aumentando seu poder dentro do sistema, nomeadamente os BRICS. Atualmente, a China é um dos maiores atores dentro do sistema internacional global, e, cada vez mais, vem demarcando a sua presença em diferentes cantos do mundo, principalmente no sudeste asiático e em países africanos. Neste sentido, por meio do recurso bibliográfico e da análise qualitativa, este estudo objetiva um debate macro da relação de cooperação entre a China e os Países Africanos de Língua Oficial Portuguesa (PALOP). Como objetivo específico, pretende-se um esboço da cooperação entre a China e São Tomé e Príncipe, buscando entender os pesos e contrapesos dessa cooperação para ambos os atores. Fica evidente que a relação entre a China e o PALOP não tem sido, de fato, uma relação de “win win”, face à discrepância dos ganhos dos PALOP e da China.
Analysis of urbanization dynamics and farming recomposition: the case of Antananarivo, Madagascar
Authors: Andriamanga Andoniaina Valérie , Burnod Perrine , Dupuy Stéphane , Ramamonjisoa Bruno
Published: October 2024

In many cities in the South, urban sprawl continues to encroach on agricultural land. Yet few studies quantify and describe the recomposition of the landscape engendered by urban growth in built-up and agricultural areas. Antananarivo, the capital city of Madagascar, though still very much agricultural, is undergoing increasing urbanisation. Against this backdrop, this article sets out to quantify, describe, and spatialize urbanisation dynamics and agricultural recomposition in this agglomeration. Particular attention is paid to ongoing dynamics on the agricultural plains, where urbanisation is progressing and of key importance for flood management. Using a mixed method combining quantitative and qualitative data, the article confirms that urbanisation is accelerating at the expense of farmland, particularly in the plains. It also highlights the diversity of land-use transitions, and the agricultural recomposition associated with urban growth. It then analyses the factors influencing urbanisation on the plains, and the flexibility of farming activities. It highlights that the key to influencing how urbanisation dynamics are in fact regulated—above and beyond devising rules and drawing up urban plans—is to act on hydro-agricultural infrastructure, farming conditions, the location of access roads, and to control embankments. These various findings may feed into public debates on land-use planning and the place agriculture may play in the city’s resilience.
Social Media Analytics for Effective Customer Brand Engagement Assessment
Authors: Alla Lhoussaine , Bouhtati Naoual , Aarabe Mourad , Ben Khizzou Nouhaila
Published: October 2024

Customer engagement has become a critical component of business success in the digital age. Challenges to this commitment include creating personalized experiences, building trust, and using data to anticipate customer needs. Our study aims to analyze the impact of social media analytics on online customer engagement assessment. We propose an analysis model integrating key dimensions of customer engagement, such as interaction, satisfaction and social influence. The expected results of this study are to provide a solid analysis model to assess customer engagement on social media and practical recommendations to improve the marketing strategies of companies on social media.
IoT-Enabled Safety and Secure Smart Homes for Elderly People
Authors: Raghu N. , Mahesh T. R. , Vivek V. , Yogesh Kumaran S. , Kannanugo Niranjan , Vishwanatha S.
Published: October 2024

Internet of Things (IoT) is used to improve the safety and welfare of elderly people living in smart homes, as well as to aid those who take care of them. The Internet of Things (IoT) sensors are used to record the routine actions of the elderly, which are then examined to spot any unusual behaviour. This investigation delves into the cerebral In order to find out how secure a home-based anomaly detection system is, particularly for the older people who live in smart homes, researchers looked into its dependability and security. In order to find possible security flaws across all layers of an IoT device, this study compares and contrasts existing literature. Furthermore, a secure smart house model is presented in this article. The model is built to simulate an IoT network in a smart home environment using Cisco Packet Tracer. For this reason, it is recommended to gather several security measures to protect the IoT devices from the identified attacks.
AI and IoT-Infused Urban Connectivity for Smart Cities
Authors: Karthik S. A. , Naga Suresh Bysani Venkata , Satish G. , Shobha N. , Bhargav H. K. , Chandrakala B. M.
Published: October 2024

This chapter explores the integration of AI and IoT in urban networks, focusing on the development of IoT networks and their impact on city infrastructure and public well-being AI technologies are used to improve efficiency, it goes so consistently and responsively, while IoT infrastructure improvements provide seamless communication. These also improve urban infrastructure, improve transportation efficiency, reduce energy consumption, and enhance public safety, with successful case studies showing tangible benefits The challenges of implementing AI-embedded IoT networks in cities are also extensive o. The future of smart cities depends on AI and IoT technologies such as edge computing, blockchain and quantum computing.
AI-Mashup Music Streaming App to Improve User Experiences
Authors: Geetha N. , Janani. K. , Kaasve S. , Mathushri P. , Suwetha. S.
Published: October 2024

The music streaming platform uses AI-enabled mashup capabilities to provide a unique user experience. Its playlist features a content-driven recommendation system that identifies matching songs based on the user's taste of music. Machine learning techniques are used to group songs into genres more accurately. The AI mashup feature offers versatile and enjoyable music mixtures, and recommendation classification algorithms ensure more relevant and precise results. This innovative format brings something new and exciting to the traditional listening experience and allows room for other features in the music streaming service. The platform's innovative approach to music streaming is groundbreaking and allows for the growth of the music industry.
Data-Driven Logistics Optimization
Authors: Kanyepe James
Published: October 2024

In today's rapidly evolving business landscape, the digital transformation of supply chain management has become imperative for organizations seeking to remain competitive and responsive to market demands. This chapter provides a comprehensive exploration of data-driven logistics optimization and its pivotal role in powering the digital supply chain. This chapter begins with an overview of digital transformation in supply chain management and lays the groundwork by elaborating on the fundamental principles underlying logistics optimization. Drawing on real-world case studies, this chapter examines how organizations leverage data-driven insights to optimize logistics activities and enhance decision-making processes in response to supply chain disruptions. A documentary analysis, which involved critically reviewing academic books, articles, journals, and websites on data-driven logistics, was conducted. In addition, thematic analysis was employed to identify and develop key thematic insights. Furthermore, the study findings provide areas for future research.
Integrated Product and Process Design Development Approach for Optimization of Technology in Organizations
Authors: Shaikh Zuber Peermohammed
Published: October 2024

The objective of organization is to provide service and product, which satisfy customer and create value for them. A product and service designed is based on the customer feedback and requirement of the market. Process design is where the product is broken down into parts, which further can be helpful in the actual manufacturing process. A product, for example, has attractive packaging to provide the right aesthetics plus has function and features, which provide value to customers. Process design ensures that there is smooth and continuous relationship between required output and all the intermediate process. Organization success is dependent on customer satisfaction and delight. Customer satisfaction is achieved through development of product and service, which have all attributes required by the customer. These Chapter elaborates steps involved in success of product or services that do not only have attractive package design but should be also able to provide robust performance.
Theories of Sustainable Development
Authors: Ozili Peterson K.
Published: October 2024

This article presents new theories of sustainable development. The need for new theories of sustainable development arises from the need to explain the attitudes and various dispositions towards the sustainable development agenda. Five theories of sustainable development are presented, namely, the extinction avoidance theory of sustainable development, the collective stewardship theory of sustainable development, the rogue agent theory of sustainable development, the divine intervention and providence theory of sustainable development, and the resource-resilient world theory of sustainable development. These theories articulate the unspoken philosophy or paradigms regarding the need for sustainable development and who should be responsible for achieving sustainable development. These unspoken philosophy or paradigms have the power to move people to take action towards sustainable development or to do nothing about it, or to oppose the sustainable development agenda. Scholars, policy makers and researchers will find these theories useful in their work in sustainable development.
Paving the AI-Powered Path to a Super Smart Society
Authors: Premavathi T. , Jain Rituraj , Parmar Kumar J. , Palaniappan Damodharan
Published: October 2024

The conceptual idea of focus of this chapter is How AI can make human ‘Super Smart'. Our theme is the Super Smart Society, the technologically advanced society in which the use of data and artificial intelligence improves people's lives. The first chapter discusses Smart City Augmented with Artificial Intelligence and Super Smart Civilizations. It looks at the directions or barriers to governmental AI and sees the extent of the role played by AI in policy-making, decision making and provision of services. The use of AI in governance is being practiced in many towns and countries and there are so many instances. The investigation found four themes: AI, latest interface to the citizens, security & privacy and smart infrastructure. The sections in this chapter for AI governance can help policymakers and governments look forward to the global model. Society6. 0 and the future of AI in public administration and that deals with advanced of AI and social implication. This chapter therefore concludes on how AI may create a super intelligent, secure and moral society.
From the Rule of Law to the Sustainable Rule of Law
Authors: Sirinapatpokin Sirinapattha , Rotjanawasuthorn Sippaphat , Namdech Puthisat , Rattanasirivilai Samanan , Jermsittiparsert Kittisak
Published: October 2024

The rule of law is one of the key concepts of modern democratic governance. Just like the country's strong and sustainable democracy, the country's strong and sustainable rule of law is a question that has been raised and tried to answer widely and for a long time on how to make it happen. To answer these questions with empirical data, this paper synthesizes documents in the Scopus database published from 2013 to the present and highlights how current knowledge answers these questions: 1) What is the rule of law? 2) Why should the country be governed by the rule of law? 3) What are the strength and weakness of a country's rule of law? 4) Do countries with different levels of development have different levels of adherence to the rule of law? And lastly, 5) How can the country move towards a sustainable rule of law and preserve it in perpetuity? The answer to each question is explained and discussed accordingly.
Harnessing AI for Political Engagement
Authors: Suktam Wanchai , Supsin Jirayu , Lapchit Siriphat , Kenaphoom Sanya
Published: October 2024

Stakeholders need to collaborate to create ethical frameworks and policies so that as AI is increasingly incorporated into politics, it strengthens rather than undermines democratic processes and fosters a more diverse and equal political environment. This essay investigates AI's impact on democracy and its application to political advertising, campaigning, and participation. The finding found that AI has become a revolutionary force in politics, greatly improving advertising, campaigning, and voter mobilization. Although artificial intelligence (AI) has enormous potential to increase democratic participation, it also presents serious ethical issues, such as worries about accountability, transparency, and manipulation risk. In order to ensure that AI enhances democratic processes rather than weakens them and promotes a more inclusive and equitable political environment as AI becomes more integrated into politics, stakeholders must work together to develop policies and ethical frameworks.
Investment Dimensions in Financial Assets Under the Changing Circumstances of New Generation Investors
Authors: Pitchaya-Auckarakhun Minthiva , Kasorn Kasama , Jedaman Pornchai , Kenaphoom Sanya
Published: October 2024

Compared to traditional financial institutions, new-generation investors prefer speculative assets like cryptocurrencies, NFTs, and DeFi platforms due to their high return potential and Blockchain appeal. This shift has resulted in increased portfolio volatility and a desire for financial independence, compelling the financial industry to adapt. The study, which uses secondary data, identifies trends in investment behavior that differ from previous generations. According to the findings, new investors are reshaping the investment landscape by leveraging technology, values-based investing with ESG criteria, and decentralized finance (DeFi). Their preference for digital platforms and AI improves accessibility and personalization, whereas DeFi opens up new possibilities and challenges. Traditional financial institutions must adopt technology and sustainability trends to remain competitive as new-generation investors reshape the investment landscape through technology, ethical investing, and decentralized finance (DeFi).
Sustainable Management of Gastronomic Events
Authors: Fernandez Marianys , Baptista Nuno , Antão Mário
Published: October 2024

The topic of sustainable management of gastronomic events is gaining increasing traction in the creation of sustainable practices that contribute to turning cities into more inclusive. Despite the great interest of academia, the literature is relatively dispersed, without unifying paradigms. There is also the need to define sustainable actions and policies that respond to the needs and expectations of the parties involved. To respond to the aforementioned research gap, this study aims to determine the factors associated with the sustainable management of gastronomic events through a scoping review of existing literature. In order to manage gastronomic events in a sustainable way, it is necessary to implement policies by developing practices that reduce the environmental impact of the events, encourage environmental education for those attending the events, promote the authenticity of local products and the sustainable management of the gastronomic events, contributing to visitor satisfaction and the well-being of local communities.
Photovoltaic PV Glass Technologies for Smart Buildings and Urban Sustainability Society 5.0
Authors: Singh Bhupinder , Kaunert Christian , Jermsittiparsert Kittisak
Published: October 2024

“PV Glass generates free and clean electricity thanks to the sun, turning buildings into vertical power generators”. The Sustainable energy infrastructure refers to the development and implementation of energy systems that minimize negative environmental impacts, reduce greenhouse gas emissions, and promote long-term ecological balance. The goal of sustainable energy infrastructure is to transition from traditional, non-renewable energy sources such as- fossil fuels to renewable and clean energy sources like- solar, wind, hydro, geothermal, and biomass. Photovoltaic (PV) PV glass is a cutting-edge technology that seamlessly merges solar power generation with architectural design. This specialized glass contains embedded photovoltaic cells that harness solar energy and convert it into electricity. As technology advances and costs continue to decrease, PV glass is expected to become a mainstream solution, playing a crucial role in our transition to a greener and more sustainable future.
Harnessing Computational Intelligence for Educational Transformation
Authors: Kishor Kumar Reddy C. , Chintalapalli Arshita , Nag Anindya
Published: October 2024

The chapter explores opportunities for implementing Computational Intelligence (CI) in education through two primary perspectives: teacher-centric intelligence and student-centric intelligence. Within the realm of teacher-centric intelligence, we discuss the potential benefits of Intelligent Teaching Assistant Systems (ITAS), automated student assessment, Student Progress Analytics (SPA), and strategies for professional development and upskilling of educators. Transitioning to student-centric intelligence, we examine Intelligent Tutoring Systems (ITS), simulations and gamification, real-time feedback mechanisms leveraging NLP, EDM, and LA technologies, as well as accessibility tools aimed at promoting equity in education. Additionally, the paper addresses potential challenges and limitations of CI adoption in education, including ethical considerations, data privacy and security issues, infrastructure limitations, socioeconomic disparities, biases in AI models, and human factors in AIED implementation.
AI-Powered Learning Revolutionizing Smart Education With Personalized Learning Styles
Authors: Yamijala Suryanarayana Murthy Suryanarayana , Chodisetty R. S. C. Murthy , Chakravorty Chandresh , Sai K. Pardha
Published: October 2024

The advent of Artificial Intelligence (AI) has revolutionized the landscape of education by enabling highly personalized learning experiences. This chapter explores the integration of AI in smart education systems to determine and adapt to diverse learning styles, thereby enhancing student engagement and outcomes. By leveraging advanced AI algorithms, educational platforms can analyze students' behavior, preferences, and performance data to tailor content and teaching methods that align with individual learning styles. This adaptive approach not only fosters a more inclusive learning environment but also maximizes the effectiveness of educational delivery. The study delves into various AI techniques, such as machine learning, natural language processing, and data analytics, which are pivotal in developing smart education systems capable of continuous learning and improvement. Additionally, the paper highlights the potential challenges and ethical considerations associated with implementing AI-driven personalized learning in education.
Smart Education Systems Using the Internet of Behavior-Based Computational Intelligence
Authors: Sree M. Swathi , Kishor Kumar Reddy C. , Hanafiah Marlia Mohd , Lippert Kari
Published: October 2024

Smart education systems are changing quickly thanks to the Internet of Behavior (IoB) and Computational Intelligence (CI). Innovating, personalised, and adaptive learning environments through the combination of IoB and CI is the focus of this paper. Deep insights into student engagement, learning preferences, and perfor-mance are provided by the IoB, which collects and analyses behavioural data from a variety of digital and physical interactions. Computational intelligence uses this data to customise educational interventions and content to the needs of specific learners. It includes methods like machine learning, neural networks, and pre-dictive analytics. IoB and CI together enable personalised feedback, enable early detection of learning diffi-culties, and allow for real-time adaption of teaching strategies in smart education systems. This integration maximises group dynamics, fosters effective peer learning, and enhances collaborative learning. It not only facilitates the implementation of behavioural nudges to support positive educational practices.