bluuebunny/crossref_metadata_2025 huggingface dataset:
Enhancing Journeys in the Digital Age of Tourism Through the Implementation of Smart Tourism Framework
Authors: Khandelwal Jyoti
Published: November 2024

Explore the travel of the future with a smart tourism framework, a state-of-the-art strategy that combines technology and hospitality for travellers and travel destinations alike. It involves utilizing a range of smart technologies to raise the general calibre of tourism services as well as their efficiency and connectedness. The main elements and features that are typically included in a smart tourism framework are digital platforms and mobile apps, IoT (internet of things) integration, data analytics and big data, augmented reality (AR) and virtual reality (VR), smart infrastructure, digital signage and interactive displays, e-ticketing and contactless payments, Wi-Fi and connectivity, social media integration, community engagement, security and safety measures, and environmental sustainability. This chapter lays out the framework for smart tourism by defining the business and technological underpinnings, benefits and drawbacks. The study also emphasizes how important it is to conduct research in order to develop a framework for smart tourism.
Enhancing Tea Tourism Experiences by Utilizing Smart Tourism Analytics
Authors: Palaniyandi Ashokkumar , Sangeetha C. P. , Sridevi R. , Sathish V.
Published: November 2024

Integrating smart tourism analytics with traditional cultural experiences enhances tourism destinations globally. This chapter examines combining smart tourism with tea tourism to enrich visitor experiences, promote sustainability, and boost economic growth. It explores how data analytics can personalize experiences, foster sustainable practices, and drive economic development in tea-producing regions.This chapter explores the benefits of intelligent tourism analytics in tea tourism, such as visitor satisfaction and economic growth. It provides strategies for stakeholders to utilize smart technologies effectively and discusses future trends and opportunities for innovation. This resource will aid researchers, practitioners, and policymakers in enhancing tea tourism experiences.
Immersive Whale Odyssey
Authors: Kunnumpurath Biju , Menon Vishnu Achutha , Paul Ajith
Published: November 2024

Virtual Reality (VR) technology immerses users in simulated environments through specialized headsets and sensory equipment, offering highly interactive experiences. This study, conducted at Christ University, Bengaluru, between December 2023 and January 2024, focused on the Blu: Whale Encounter 3D 360 VR App, utilizing the Meta Quest 2 headset. Purposive sampling recruited 205 students aged 18-25. The Virtual Experience Questionnaire measured virtual experience as the independent variable, while feedback, concentration, and challenge were assessed using the EGameFlow scale. Correlation and linear regression analyses explored the relationships between variables. Results revealed positive correlations between virtual experience, feedback, challenge, and concentration. Virtual experience strongly predicted feedback and challenge, while also significantly influencing concentration levels. However, a weak negative correlation between feedback and concentration suggested limited practical significance.
Influence of Artificial Intelligence in Aviation Management
Authors: Prasad G. , Thakur Vishali
Published: November 2024

Artificial intelligence (AI) technology is playing a crucial role in the aviation industry as airlines are investing in AI to help them become more efficient and competitive. Flight planning and optimization—AI can analyze weather patterns, air traffic, runway conditions, and other variables to generate optimal flight plans that minimize fuel costs and emissions while maintaining safety. This chapter givens an overview of the role of technology in Aviation industry with respect to tourism and travel.
Integrating Artificial Intelligence for Smart Destination Management in the UAE
Authors: Jain Rahul
Published: November 2024

The United Arab Emirates (UAE) stands as a premier global tourism destination, attracting millions of visitors each year. To ensure sustainable growth and enhanced visitor experiences, there is a growing need to integrate artificial intelligence (AI) technologies into destination management practices. This paper explores the opportunities, challenges, and impacts of AI integration in smart destination management within the UAE context. Key opportunities include advanced data analytics, personalised experiences, and predictive modelling, while challenges encompass data privacy, regulatory hurdles, and infrastructure limitations. Through case studies and analysis, the paper examines AI applications in areas such as smart city initiatives, virtual assistants, and recommendation systems. Additionally, it evaluates the impacts of AI on marketing strategies, visitor flow management, and environmental sustainability. The findings offer insights into future trends, policy implications, and recommendations for stakeholders, illuminating the transformative potential of AI in shaping the future
Smart Tourism
Authors: Kumar Narendra , Pham Hanh Thi
Published: November 2024

Smart tourism encapsulates the integration of technology and innovative solutions to enhance the overall travel experience for tourists and to improve the efficiency and sustainability of tourism destinations. Smart tourism represents a paradigm shift in the travel industry, leveraging artificial intelligence, the Internet of Things (IoT), big data analytics, augmented reality, virtual reality, mobile applications, and cloud computing to improve the overall travel experience, foster sustainability, and drive economic growth. Interpretation of scholarly landscape of smart tourism offers valuable insights into research activity, trends, impact, and knowledge structure. The current study is based on the data extracted from Scopus Database (N=756) to understand various bibliometric patterns. The findings such as trends in publication output over time, geographical distribution of research, most cited authors and articles, and emerging themes or keywords have been discussed. Future directions in the field of smart tourism have been discussed.
Smart Tourism Eco Space
Authors: Varghese Bindi , H. Sandhya
Published: November 2024

To ensure the sustainable growth of destinations, destinations entail the use of data-driven decision-making, digital technology, and cooperative networks. An In-depth study of pragmatic policies and governance in the context of the Smart Tourism Eco Space is provided insightful results on the role that tourism stakeholders play in determining how tourism destinations can be developed sustainably and managed responsibly. Smart governance emphasizes stakeholder participation, policy development, and regulatory frameworks in addition to using cutting-edge techniques to manage tourism flows, infrastructure, and services. as well as cultural and environmental preservation, making it a crucial component in the future. This research illuminates the frameworks and tactics that may direct policymakers, industry stakeholders, and communities towards a more sustainable and technologically-driven future for tourism by looking at case studies and best practices.
Temporal Analysis of Tourism Arrivals
Authors: Dwivedi Dwijendra Nath , Mahanty Ghanashyama
Published: November 2024

This research conducts a detailed study on the timing of tourism arrivals in different countries using an advanced multi-country time series method. Our study attempts to reveal patterns and trends in visitor arrivals to nations over the last twenty years, considering the dynamic nature of the tourism industry and its significant impact on national economies. We have used sophisticated time series clustering methods to classify counties into three separate clusters based on the pattern in visitor arrivals throughout the specified timeframe.We use several time series data processing techniques such as normalization, detrending, and seasonality correction to make sure the clustering findings are comparable and reliable. The study's results provide important information for policymakers, tourist marketers, and stakeholders in the tourism industry. This data can be used to develop strategic plans, allocate resources effectively, and create focused promotional campaigns to support sustainable tourism growth.
The Implications of Artificial Intelligence in Travel, Tourism, and Hospitality
Authors: Ojha Nitish Kumar , Mishra Mridula
Published: November 2024

Abstract: Artificial intelligence (AI) is currently present in almost every sector of travel and appears in a wide variety of applications such as tourism and personalization. It is very important to connect with technology for tourism development. Today the country has advanced a lot in technology. In this chapter, we will review how AI has changed and is changing the tourism industry and its many processes so that one tourist comes back next time with many tourists not just once but many times. Many features like automation, contactless services, virtual experiences, and provision of real-time information are coming into the scope of tourism and gaining momentum from technologies like AI and Machine Learning. In this book chapter, we have tried to understand this holistically. In the end, it has also been highlighted whether the use of AI and other new technologies is good or bad for the tourism sector. This is giving impetus to the industries and the government is getting revenue, but it is also important to know comparatively what new problems have arisen due to this.
Towards Sustainable Tourism, Smart Destination Management, and E-Banking Integration in Indian Cities
Authors: Jain Piyush Kumar
Published: November 2024

This research paper examines the integration of smart destination management and e-banking systems as a means to enhance tourism experiences and promote sustainability in Indian cities, with a particular focus on Jaipur, Rajasthan. The study delves into the adoption of digital technologies and financial services to streamline tourism operations, elevate visitor satisfaction, and encourage economic growth while reducing environmental impacts. Through the analysis of data from stakeholders and tourists, along with case studies and surveys, the research evaluates the effectiveness of these initiatives in Jaipur and their broader implications for the Indian tourism industry. The results underscore the importance of utilising technology and digital payment solutions to create more efficient and sustainable tourism ecosystems, contributing to the overall development and resilience of India's tourism sector.
Biofuels
Authors: Somya Amita , Khan Anish , Varshney Amit Prakash
Published: November 2024

Biofuels are vital in today's energy landscape, offering a sustainable alternative to fossil fuels. Derived from organic sources, biofuels cut emissions, enhance security, and promote sustainability. They offer a renewable, carbon-neutral option, reducing reliance on finite fossil fuels and fostering a circular economy by utilizing waste. This aligns with sustainable development principles. The chapter represents biofuel's types, production, impacts, and socio-economics, highlighting their potential in combating climate change and achieving sustainable development goals. Through analysis of technology, policy, and market dynamics, it delves into the interplay between biofuels, renewable energy, and sustainable development paradigms.
Project Approach in the Process of Reforming the Water Management System of Ukraine
Authors: Frolenkova Nadiia , Rokochinskiy Anatoliy , Stashuk Vasyl
Published: November 2024

This chapter is dedicated to the relevance, principles, and features of the implementation of a project approach to water resources management. The relevance of the project approach as a current methodology for effective management both within an organization and an industry in general is determined. Areas of water resource management in which it is expedient to introduce this project approach are systematized. The basic principles and prerequisite for implementation of the project approach in water resources management are formulated. The main elements and components of the implementation of the project approach in water resources management are identified.
The Effects of Climate Change on Agroecosystems, Including Changes in Honey Bee Populations
Authors: Lavrenko Sergiy , Korbych Nataliia , Vedmedenko Olena , Lyubenko Oksana
Published: November 2024

The global competition for energy sources, conflicts over food and energy, geopolitical tensions, instability in global financial institutions, climate change skepticism, and concerns about food security have all sparked a heightened interest in restoring the populations of Hymenoptera insects, including honeybees, in agroecosystems worldwide. The environmental crisis, both globally and in regions like Ukraine, is heavily influenced by a combination of natural and human-induced factors. Identifying ecological issues, particularly those of anthropogenic origin, that impact the development and distribution of honeybee populations is crucial for prioritizing responses and informing management decisions related to environmental safety. Addressing these challenges requires a comprehensive understanding of the complex interactions between environmental factors and human activities, as well as a commitment to sustainable practices and conservation efforts to support the resilience of honeybee populations and the ecosystems they inhabit.
Sustainable Water Management for Integrating Solutions in Urban and Agricultural Spaces
Authors: Halecki Wiktor
Published: November 2024

Water management in the European Union is evolving towards landscape retention through natural measures, utilizing arable land, forests, wetlands, and other features to regulate water flow and storage. These measures mitigate urban water challenges and adapt to climate change impacts like surface or groundwater recharge. Forested areas and soil composition are critical for water retention, enhanced through agrotechnical methods and strategic investments like phytomelioration. River valley soils also serve as natural retention measures. Despite persisting challenges, ongoing efforts align with the EU's Water Framework Directive, emphasizing territorial planning and ecosystem services' multifunctionality. Recognizing water systems' complexity is crucial for justifying conservation and enhancement efforts.
Evaluation of Technological Scenarios for Production of Composite Biofuels Based on Communal Waste
Authors: Klymenko Vasyl , Kravchenko Volodymyr , Koltun Paul , Nevdakha Yuriy , Zavodyannyi Viktor
Published: November 2024

The work deals with the issues of development and analysis of technological scenarios (TS) for the utilization of communal waste: sewage sludge (SS) and fallen leaves (FL) by making composite biofuel (CBF) from them. The influence of physical characteristics of SS and FL, grinding of FL, SS heat treatment, composition of SS and OL mixtures, and pressing pressure on the quality of pellets (PL) CBF was determined experimentally. The chapter determined the amount of ash after incineration of PLs samples with SS, PL, CBF, and their heat of combustion. The two TC produced by CBF for the thermal utilization of SS and FL is proposed. According to TS1, CBF is obtained from SS and FL, and the obtained PLs is dried at the end of the process. TS2 production of CBF is more complicated, but its advantage is the possibility of producing biofuel only from SS in the absence of FL. The choice of the TS variant will depend on provision of the necessary technical, economic, and environmental indicators during the implementation of the TS in the conditions of a particular city.
Analysis of the Key Mechanisms for Cleaning Infiltration Water From Reservoir Biocolloids
Authors: Onanko Yurii , Yatsyuk Mykhailo , Matseliuk Eugene , Onanko Anatoliy
Published: November 2024

In recent decades, the work of water intake facilities, as well as the work of water treatment facilities with the intake of water from the cascade of the Dnipro River Reservoirs, has been significantly complicated by peak, actually catastrophic outbreaks of phytoplankton reproduction, mainly cyanobacteria. To assess the possibility of using infiltration waters of the cascade of the Dnipro River Reservoirs to meet drinking and household needs, the key mechanisms of the process of cleaning infiltration waters from reservoir biocolloids were analyzed. A study of the elastic properties of the filtering medium was conducted using the pulsed ultrasonic immersion method to assess the influence of the parameters of the void-pore space of the banks of reservoirs on the efficiency of water purification from the investigated type of pollution. This made it possible to evaluate the effectiveness of cleaning the infiltration waters of reservoirs from colloids of biological origin, particularly cyanobacteria, as a result of passing through the layer of rocks forming the banks of the reservoir.
Design and LCA of a Small-Scale Solar Thermal Electricity Generation Unit
Authors: Koltun Paul , Klymenko Vasyl , Teliuta Ruslan
Published: November 2024

Solar thermal electricity (STE) has the greatest potential of all renewable energy processes. Small-scale STEs can be attractive for implementation in the residential and commercial sectors and economically competitive with other technologies when environmental costs are taken into account. But currently there is no single dominant technology and no life cycle assessment (LCA) study conducted to compare different STE technologies. This LCA study was conducted to determine potential material flow, energy consumption and emissions for small-scale STE options and includes an analysis of a possible STE design. The application of the proposed LCA methodology is shown on the example of a small-scale STE, which produces an average of 3 kWh of electricity from solar radiation for Australian conditions with an overall system efficiency of 20%. The calculated payback period of the total primary energy consumption will be ~0.5 years, and greenhouse gas emissions gases for ~2 years, which indicates the sufficient efficiency of the proposed small-scale STE installation for Australia.
Landscape and Ecological Monitoring of Lakes in the Nature Protection Areas of Polissia Region
Authors: Martyniuk Vitalii , Kovalchuk Ivan , Zubkovych Ivan , Korbutiak Vasyl , Šeirienė Vaida
Published: November 2024

This chapter substantiates the essence, methodological approaches, and geo-information technologies of landscape-ecological monitoring (LEM) of lakes. It presents the results of the lakes LEM of the Nobel National Natural Park (based on the example of Lake Omyt). The research involved developing a landscape map of the key area, 'Lake Omyt,' and assessing the condition of its geo-complexes. The research also encompassed the development of a bathymetric model for Lake Omyt and the calculation of morphometric, hydrochemical, and hydrological parameters for the reservoir. Based on the geological sounding of landscape complexes of the lakeside terrace and bottom sediments of the reservoir, two reference sections (up to 5 m) and a stratigraphic section of sapropel deposits (up to 11 m) were made. The research also included evaluation of the geochemical characteristics of the bottom sediments of the lake. The proposed LEM algorithm for lakes in nature protection areas is effective and constructive; it can be used when setting up monitoring studies of other regions with a high level of lakes.
Digital Transformation in UK Contemporary Healthcare
Authors: Schofield Mark
Published: November 2024

In the modern age, the demand for seamless digital services extends into government sectors, including healthcare. NHS England exemplifies significant digital transformation in this domain. Understanding governmental digital evolution in healthcare is crucial for stakeholders on similar paths. This chapter dissects common trends in government digital transformation and lessons from NHS England's efforts. By exploring digital dynamics within government, with a focus on healthcare, it elucidates methodologies, challenges, and potential pathways for sustainable digital evolution. It offers insights for stakeholders, emphasizing user-centric design, iterative approaches, and transparent governance. Additionally, it highlights the complexities and unique challenges in healthcare digitization, providing valuable lessons for stakeholders.
Leveraging Data Analytics and Business Intelligence for Seamless Digital Transformation
Authors: Banerjee Ojaswa , Nandan Kirti , Kumar Shreyash , Azhar Mohd
Published: November 2024

This chapter addresses challenges that leaders face when leveraging the advantages of data analytics (DA) and business intelligence (BI) especially in the context of digital transformation. It also discusses the increasing significance of data analytics and business intelligence in driving digital transformation and their influence on business leadership. Further, it closely examines the integration challenges that leaders face when leveraging digital technology to promote organizational change and data governance. In pursuit of the research objective, this chapter is organized as follows: Section 1 presents the introduction. Section 2 offers an extensive review of the literature encompassing digital transformation, DA BI, and organizational leadership. The subsequent section elucidates the different opportunities and challenges that leaders encounter with the integration of digital technology. Furthermore, digital technology, tools, and platforms are discussed, with implications and, at last, conclusion.
Digital Transformation in Reshaping Industries
Authors: Yun Wong Sing , Pinjaman Saizal Bin , Nipo Debbra Toria , Gulabdin Shaierah Binti
Published: November 2024

The emergence of digital technology has help business to grow, thrive, innovate and resolve obstacles in sustaining their operation development. The Malaysian Government has been proactive in implementing various initiatives to embrace digital transformation across different sectors. To extend the knowledge within the literature, this book chapter intends to identify the factors that contribute to the digital transformation in Malaysia. While digital transformation may seems to be the answer to a more sustainable development growth, however there are still challenge remains. Besides that, this book literature will also examine the government policies that has been implemented by the Malaysia Government in support of the digital transformation. The knowledge finding from this book chapter will help to ensure that the benefits of the digital transformation can be delivered to all sectors and help policy makers to devise new policies that can assists all businesses to transform their operation digitally.
Enhancing Organizational Performance Through Process Performance Measurement and KPIs in AI-Based Digital Transformation
Authors: Dua Gurwinder Kaur
Published: November 2024

In an era featured by technological disruption and the pervasive integration of artificial intelligence (AI) into business processes, organizations come across strategic challenges in assessing their readiness for AI-based digital transformation. This study emphasizes on the necessary elements needed to analyse an organization's current state in preparation for AI-driven digital transformation. Drawing from a comprehensive literature review and practical insights derived from industrial system engineering experience, this study focuses on the relevance of process performance measurement and Key Performance Indicators (KPIs) in increasing organizational performance within the context of AI adoption. By establishing and monitoring relevant KPIs for process performance, organizations can quantifiably assess operational efficiency, identify areas for improvement, and track the effect of AI implementation on business processes.
Utilising Artificial Intelligence and Machine Learning for Regulatory Compliance in Financial Institutions
Authors: Syed Zeeshan , Okegbola Oluwaseun , Akiotu Cynthia Abiemwense
Published: November 2024

This chapter explores the transformative potential of Artificial Intelligence (AI) and Machine Learning (ML) in enhancing regulatory compliance within financial institutions. Following the 2008 financial crisis, increased regulation has driven the need for advanced solutions. AI and ML, integrated into Regulatory Technology (RegTech), offer significant benefits, including improved efficiency, reduced compliance costs, and enhanced risk management. This paper examines the application of RegTech tools in processing large datasets, identifying patterns, and predicting regulatory challenges. It also addresses the challenges associated with AI and ML, such as overfitting, decision-making opacity, and legal implications. Ultimately, AI and ML are critical to the future of regulatory compliance, offering financial institutions a path to more efficient adherence to complex regulations.
Impacts of Blockchain on Circular Economy Motivation via the Q-Rung Orthopair Fuzzy Set
Authors: Aka Damla Cevik
Published: November 2024

This study aims to examine the effects of the use of blockchain technology in production on the motivation to switch to a circular economy (CE). Additionally, the study aims to assess the significance of blockchain technology's impacts on businesses, with a focus on CE initiatives. In this context, thirty-five managers from seven companies in Turkey's automotive subindustry were interviewed, and the criteria were evaluated by seven expert groups. Considering the presence of different groups and high uncertainty, the Q-Rung Orthopair fuzzy set was used. The study findings reveal that the primary factors driving circular economy motivation are “waste management,” “information sharing and enhanced cooperation among supply chain stakeholders,” and “operating costs,” in that order. The article explores blockchain as a promising technology to facilitate the circular economy process. This study is expected to enrich the circular economy literature and be a road map for automotive supplier industry manufacturers in developing countries.
Empowering Digital Business Innovation
Authors: Dash Pratichi , Aryan  , Javaid Sehrish , Hussain Mohd Arif
Published: November 2024

This chapter examines how digital technologies; Artificial Intelligence, blockchain technology, digital marketing, and digital entrepreneurship have revolutionized innovation and growth of contemporary businesses. This study focuses on the practical aspect of business operations, customer relations, and security issues that benefit from applications of AI solutions like dynamic pricing, optimal route selection, and fraud detection, among others. The capabilities of blockchain technology is examined to bring transparency and security in the business transaction by having the ability to develop, implement and regulate smart contracts. The efficiency of various online marketing techniques such as advertising and content marketing is evaluated to grab the attention of the targeted customer base and increase their loyalty. Furthermore, it highlights the areas of digital entrepreneurship, examples of how technology assists individuals in creating new business models and practical applications of these technologies in industries as illustrated by Uber and Airbnb are discussed in detail.
Exploring the Impact of Virtual Reality in Education
Authors: Yingsoon Goh Ying , Rahman Nurul Ajleaa Abdul , Haiyan Zhang
Published: November 2024

The integration of virtual reality (VR) into educational settings is poised to revolutionize the way students interact with learning materials. This chapter explores the burgeoning role of VR in education, assessing its current applications, the advantages it offers, and the challenges it presents to educators. It also examines the potential for VR to shape the future of educational practices. The educational landscape is experiencing a technological renaissance, with VR emerging as a transformative tool. It offers an immersive learning experience that can enhance student engagement and facilitate a deeper understanding of complex subjects. VR's potential is expansive, enabling students to engage with course materials in novel and interactive ways, such as through virtual field trips to historical sites or the simulation of surgical procedures in medical education. The Impact of Virtual Reality in Education hence has to be further explored.
AI-Supported VR in Education
Authors: Geris Ali , Cukurbasi Baris
Published: November 2024

This book chapter examines the integration of virtual reality and artificial intelligence technologies in the field of education. While the integration of AI-based content, analysis, and feedback systems into educational VR environments presents a significant opportunity, it also brings various challenges, including privacy, data security, social equity, and ethical issues. The chapter addresses the effects of AI-supported VR applications on teacher-student interactions and pedagogical outcomes across different educational levels. Additionally, it evaluates predictions and potential scenarios for the future use of these technologies in education. Finally, the chapter provides strategic recommendations to address the challenges encountered in the integration of AI and VR in education, offering guidance on the ethical and effective use of these technologies. By providing a comprehensive guide for educators, policymakers, and developers, this chapter offers valuable insights into managing digital transformation processes and utilizing these technologies to enhance learning experiences.
Clinical Decision Support Systems Using Machine Learning
Authors: Chaudhari Archana Kedar
Published: November 2024

The case study explores the application of machine learning (ML) in the development of clinical decision support systems (CDSS) for the prediction and diagnosis of thyroid diseases. By leveraging patient data, including demographic information, medical history, and laboratory test results, various ML algorithms are evaluated for their efficacy in predicting thyroid disorders. The study focuses on the selection of relevant features, model training, and validation processes, comparing performance metrics such as accuracy, sensitivity, and specificity. The integration of these predictive models into a CDSS is discussed, highlighting the potential for improved diagnostic accuracy, personalized treatment plans, and enhanced patient outcomes. This case study underscores the transformative impact of ML in the healthcare sector, particularly in the early detection and management of thyroid diseases.
Optimizing Healthcare Operations With AI Algorithms by Enhancing Skin Cancer Diagnosis Using Advanced Image Processing and Classification Techniques
Authors: Oluwasegun Abioye Abiodun , Evwiekpaefe Abraham , Odion Philip Oshiokhaimhele , Olalekan Awujoola Joel , Bright Anyanwu Obinna , Racheal Adelegan Olayinka , Ozoemenam Uwa Celestine , Malami Modibbo Gidado
Published: November 2024

Optimizing healthcare through AI algorithms offers significant potential in skin cancer diagnosis. Skin cancer, involving abnormal skin cell growth, includes melanoma, the most dangerous form. Early detection is crucial, but traditional methods like visual inspection and biopsy are time-consuming and subjective. AI provides a more efficient, objective approach. This chapter enhances diagnostic accuracy using advanced image processing and classification on a comprehensive skin cancer dataset with seven classes. Initially imbalanced, data augmentation balanced it, generating 2000 images per class. Gray Level Co-occurrence Matrix (GLCM) and Color Histogram were used for feature extraction, combined with a Random Forest classifier. The best model achieved 97% accuracy, emphasizing balanced data and effective feature extraction in AI-based skin cancer diagnosis.
Harnessing Machine Learning and Deep Learning in Healthcare From Early Diagnosis to Personalized Treatment
Authors: Sharma Ajay , Pesarlanka Devendra Babu , Sharma Shamneesh
Published: November 2024

Machine learning (ML) and deep learning (DL) are transforming healthcare by improving patient outcomes, reducing costs, and accelerating drug development. ML algorithms analyze large datasets such as EHRs, medical imaging, and genomics to enable early disease detection and personalized treatments. The current work highlights new approaches in pharmaceutical design and predicts medication side effects. Deep Learning (DL), a branch of AI using neural networks, excels in medical imaging, identifying subtle patterns in MRIs and X-rays. The current manuscript highlights how DL models can identify genetic markers linked to diseases like cancer, Parkinson's, and Alzheimer's. Integrating ML and DL into clinical workflows empowers healthcare professionals with data-driven tools for better decision-making. However, some challenges remain, including ensuring data privacy, and security, addressing biases in algorithms. Collaboration between healthcare providers, researchers, and tech firms is essential for the ethical and effective adoption of these technologies have been discussed in the work.
Examining Biological Relevence of Thiazolo Thiadiazole and Thiazolo Thiazole Fused Heterocyles
Authors: Palekar Vikrant Sudhakar , Sasane Kulbhushan A.
Published: November 2024

Aromatic Fused heterocycles containing Nitrogen (N) and Sulfur(S) has extraordinary bioactive behavior due to which they are attracting the interest of chemists worldwide & thus used as a potential material in medicinal/pharmaceutical industries. The nitrogen-sulphur fused heterocycles attracting attention of the researchers due to number of biological and pharmacological activities and observed to exhibit extensive applications in drug discovery and development. The efforts are made to understand biological activity based on position of heteroatom & the substituent present in 5-member aromatic heterocyles. These compounds reported to having anticancer, anticonvulsant, antimicrobial, and antitubercular activities. This chapter aims to provide comprehensive overview on their hidden potential and inspiring further exploration into their biological relevance with respect to thiazolo thiadiazole & thiazolo thiazole derivatives are possessing considerable prospects in the field of drug development & material Science.
Thienopyridine Analogues
Authors: Patel Bonny Y. , Kapadiya Khushal M.
Published: November 2024

Thienopyridine derivatives are important sulfur-containing compounds with a unique structure. There are six different Thienopyridine analogues that have shown various biological effects. These compounds are widely used in medicinal chemistry and some have been approved by the FDA for use as drugs. The most well-known applications of thienopyridine-based drugs are in treating cardiovascular and central nervous system (CNS) diseases. These compounds also have anti-inflammatory, anti-infective, antiviral, antiproliferative, antimicrobial, and antitumor properties. Thienopyridine derivatives also have positive effects on important characteristics of the compounds they are part of, such as solubility, lipophilicity, and hydrogen bonding capacity. This chapter will provide a brief overview of the various bioactivities of Thienopyridine derivatives.
Harnessing Fused S-Heterocycles for Advanced Pollutant Degradation, Remediation Techniques, and Sustainability
Authors: Biswas Hari Shankar , Kundu Amit Kr. , Mandal Prasenjit
Published: November 2024

Environmental remediation is a dynamic field aimed at removing pollutants from natural ecosystems. This chapter explores key pollutant degradation mechanisms, including biological, chemical, and physical methods, and their integration into water and soil remediation techniques. Fused S-heterocycles—compounds with unique chemical properties—play a central role in enhancing these processes. In biological remediation, they act as catalysts or mediators, boosting microbial activity and enzymatic processes. In chemical degradation, including advanced oxidation processes like photocatalysis and ozonation, fused S-heterocycles improve light absorption and electron transfer. Physical methods, such as adsorption and filtration, are optimized by incorporating these compounds into adsorbents. Water remediation techniques, including phytoremediation, bioreactors, and membrane filtration, are enhanced by fused S-heterocycles, which improve microbial activity, and membrane efficiency. These heterocycles offer eco-friendly, innovative solutions for sustainable, long-term environmental restoration.
Environmental Protection and Policies
Authors: Selvakumar P. , Seenivasan S. , Deshmukh Satyajit M. , Ponnapalli Harita , Das Abhijeet
Published: November 2024

Environmental protection and policies constitute the cornerstone of global efforts to address pressing environmental challenges, safeguard natural resources, and promote sustainable development. Over the decades, environmental policies have evolved significantly in response to growing awareness of environmental degradation, scientific advancements, societal expectations, and international cooperation. These policies encompass a wide range of regulatory frameworks, management strategies, and innovative approaches aimed at mitigating climate change, conserving biodiversity, managing natural resources sustainably, reducing pollution, and promoting environmental justice. The effectiveness of environmental policies hinges on several key factors. First and foremost is the integration of scientific knowledge and evidence-based decision-making into policy formulation and implementation. Robust scientific research and monitoring provide critical insights into environmental trends, impacts of human activities, and effectiveness of policy interventions.
Do Shadow Economy, Renewable Energy, and Natural Resources Affect Environmental Sustainability in GCC Countries?
Authors: Butt Shamaila , Waheed Zohra Jamil , Chohan Muhammad Ali , Ramakrishnan Suresh , Shahzad Muhammad Farrukh , Kabeer Muhammad Talha
Published: November 2024

Environmental sustainability is one of the biggest challenges that mankind faces now days, increasing population along with tremendous escalation in anthropogenic activities has raised several questions on the sustainability of natural resources of our planet. This chapter consider the degree of development as factor of environmental degradation. Firstly, this chapter analyzed the long run association exists between environmental quality and economic growth determinants in emerging Gulf countries. Secondly, the chapter investigated the long run elasticities between environmental quality and economic growth determinants in emerging Gulf countries. Lastly, the current chapter examined the causal relationship between economic growth determinants and environmental quality. This chapter employ the time series data from 1980-2022 across Bahrain, Kuwait, Oman, Qatar, Saudi Arabia, and the United Arab Emirates. Various cointegration techniques were employed, ARDL used to capture the long run relationship of variables on environmental pollution and DH causality to check the causality.
The Role of Renewable Energy in Promoting Social Equity and Inclusive Economic Growth
Authors: Chandratreya Abhijit
Published: November 2024

As the world transitions towards sustainable energy sources, the role of renewable energy in promoting social equity and inclusive economic growth becomes increasingly significant. This chapter examines the multifaceted impacts of renewable energy initiatives on societal well-being and economic development, with a focus on promoting equity and inclusivity. Through a comprehensive review of literature and case studies, the chapter explores how renewable energy projects can address social inequalities, empower marginalized communities, and foster inclusive economic growth. Key themes include access to energy services, job creation, community ownership models, and policy frameworks that prioritize equity and social justice. By highlighting successful strategies and identifying potential challenges, this chapter provides insights for policymakers, practitioners, and researchers seeking to maximize renewable energy transitions' social and economic benefits.
The Poverty Dimension of Wage and Profit Income in the United States
Authors: Karacan Ridvan , Baris Ismail
Published: November 2024

This analytical study delves into the intricate relationship between wage and profit income and their implications for poverty in the U.S. Through evidence-based insights, the research illuminates the factors driving these disparities, including wage stagnation, unequal access to educational and employment opportunities, and systemic biases within the profit-driven economy. By examining empirical data and statistical analyses, the study identifies vulnerable populations disproportionately affected by these income differentials, such as low-wage workers, minority communities, and single-parent households. By offering a holistic understanding of the poverty dimension of wage and profit income inequality, this research suggests actionable pathways toward a more inclusive and equitable society. This study not only enhances our comprehension of income inequality but also serves as a call to action for policymakers, stakeholders, and society at large to work collaboratively towards building a fairer and more just economy.
Does Digitalization Matter in the Relationship Between Financial Performance and Social Performance?
Authors: Soltani Hayet , Abida Maher
Published: November 2024

The growing significance of corporate social responsibility and digitalization demands immediate attention, making it a critical area for exploration. This chapter aims to investigate the impact of digitalization on the financial and social performance of the banking sector. Utilizing online and distributed survey questionnaires, the results reveal that digitalization positively influences both financial and social performance. This finding highlights the necessity for banking to adopt new technologies and responsible practices to enhance their financial performance in a dynamic financial environment. Consequently, the adoption of digitalization enables banks to become more socially responsible, regardless of their performance level. Furthermore, improved financial performance increases banks' involvement in socially responsible initiatives. These empirical findings provide policymakers with valuable insights into the importance of integrating technological innovation and socially responsible practices to boost financial performance and achieve sustainable development goals.
Bank's Behaviour in Transactions With Customers
Authors: Adhikary Maniklal , Guha Debshilpi
Published: November 2024

The banking sector is a crucial part of any country's economy that offers financial services to the public. Building strong customer relationships is the key to success in the banking industry. Therefore, it is essential to analyse customer perceptions and preferences to attract and retain customers. This study aims to evaluate customer perception based on various factors such as loan amount, demographics, interest rates, and loan processing time. This research is based on Burdwan. Primary data has been collected from the field survey through a structured questionnaire. The objective of the study is to examine customers' perceptions in transactions with their chosen banks. The findings of the research indicate that customers' perception of PNB is superior to other banks included in the study, and most of the factors included in the study significantly impact customers' perceptions.
The Impact of Corporate Social Responsibility on Financial Performance, Financial Inclusion, and Financial Stability
Authors: Mhamid Imen
Published: November 2024

The aim of this study is to analyze how Corporate Social Responsibility (CSR) affects the financial performance, financial inclusion, and financial stability of financial institutions in Tunisia. The research focuses on data from 30 financial institutions collected annually from 2008 to 2019. The results show that CSR, along with the age and size of the institution, positively influences all three factors. On the other hand, higher levels of debt have a negative impact on financial inclusion and financial stability. Moreover, financial inclusion is negatively correlated with asset tangibility.
Can AI Propel Sustainable Finance Towards Achieving SDGs?
Authors: Sneha  , Agrawal Aditya , Singh Abhishek Kumar , Ranjan Rajiv
Published: November 2024

Artificial intelligence (AI) has become critical in advancing sustainable finance, particularly in achieving the United Nations Sustainable Development Goals (SDGs). Two main approaches have emerged: institutional AI focused on environmental, social, and governance (ESG) investing, and societal AI, which enhances financial inclusion for underbanked populations. However, fragmented governance mechanisms and regulatory frameworks have hindered progress, especially during the COVID-19 pandemic. As the global community recovers, there is a renewed focus on developing robust governance structures through multilateral and cross-sector collaborations to mitigate risks, promote sustainability, and foster innovation.
Navigating AI Liability in Criminal Law
Authors: Sneha  , Chatterjee Shreya , Mohanta Abhinash , Shreya
Published: November 2024

With an emphasis on the actus reus component of culpability, this chapter examines the liability concerns that arise when an autonomous artificial intelligence (AI) commits a crime. The chapter delves into general criminal law theories, employing a doctrinal study of law to determine the appropriate accountability for AI-caused harm. The chapter also examines legal obligations, including situations where a party may need to intervene, and delves into the potential use of AI as a covert agent in illicit activities. The chapter evaluates various remedies, such as giving AI legal personhood or imposing a civil law supervision obligation on AI owners. However, it concludes that these remedies are inadequate and that the best framework for handling AI-related culpability may not be criminal law.
Importance of Digital Technologies in Economic Sector of Selected Countries
Authors: Singh Ajay Kumar
Published: November 2024

This chapter is carried out to detect the interlinkages of digital technologies with economic sector. It integrates 16 diverse indicators that are crucial for creation of digital infrastructure and digitalization. This index is known as digital technology integrated index (DTII) in this chapter. DTII is estimated for selected 118 countries. It describes comparison of these countries in digitalization according to statistical values of DTII. It also detects a causal link between digitalization and economic development using robust empirical models. The variation in digitalization is reported due to inconsistency in the variables that are effective to create DTII. Digitalization is vital to promote economic development. Digital technologies and ICTs are helpful for a country to be digitized. FDI inflow, total employers, and job opportunities help to increase economic development. The progress of digitalization would also improve as FDI inflow, total employers, and job opportunities increase.
Can AI Propel the Fight Against Poverty in a Post-Pandemic World?
Authors: Gupta Meenu , Bhardwaj Bhavna , Bag Shubhangi Bajaj , Kishor Akshaya
Published: November 2024

This chapter considers how AI is meeting the poverty alleviation goal after COVID-19 affected progress towards the UN's sustainable development goals in the year 2030. In particular, the chapter specifically examines how AI is addressing specific goals of the sustainable development system, such as SDG No Poverty (SDG 1), Good Health and Well-being (SDG 3), Quality Education (SDG 4), and Reduced Inequalities (SDG 10). analysis provides a synthesis of AI's latent usefulness in addressing poverty-related concerns and provides policy recommendations for the effective and efficient use of AI in a post-COVID, post-AI era.