bluuebunny/crossref_metadata_2025 huggingface dataset:
Cinema and Artificial Intelligence
Authors: Khan Saad Ullah , Khan Sadaf , Ballewar Shivam Suryakant , Rane Jayendra Prabhakar , Siddiquee Abdul Quadir
Published: December 2024

This chapter critically assesses the transformative impact of Artificial Intelligence (AI) on the Indian film industry across its entire production spectrum, encompassing preproduction, production, and post-production phases. Within an increasing technologically centric entertainment landscape, the convergence of AI and cinema signifies a crucial paradigm shift. Despite India's rich cinematic legacy, the assimilation of AI poses multifaceted challenges. Through a rigorous inquiry, this study probes AI's capacity to augment creative processes and operational efficiency, while also confronting pertinent ethical dilemmas. Drawing upon structured interviews and secondary source analysis, it offers a holistic examination of current AI practices, their implications, and anticipates future trajectories. By synthesizing insights from interdisciplinary domains, this chapter elucidates the complex interplay between technology and artistic expression, offering practical guidance for navigating technological advancements in Indian cinema.
The Synthesis Between Artificial Intelligence and Editing Stories of the Future
Authors: Erdem Serhat
Published: December 2024

The study employs a documentary method from qualitative research methods through a literature review. Different examples are used within the scope of purposive sampling to demonstrate the synthesis of artificial intelligence and editing: The selected examples show how artificial intelligence technologies are used in different areas and how they affect the editing processes. Examining each example will help to better understand the impact of the synthesis of artificial intelligence and editing on the film industry. It can be stated that studies on the synthesis of artificial intelligence and editing offer an important perspective on how future storytelling and visual art may be shaped. The aim of this study is to reveal the potential to further optimize creative processes, develop new opportunities for artists, and provide more impactful experiences for audiences
The Use of AI-Driven Software in Predicting the Commercial Success of Movies
Authors: Günay Ömer Lütfi
Published: December 2024

The art of cinema is in a constant process of change and development depending on technology. While theorists are trying to create new narrative techniques, studios are trying to market their films as a commercial product. It can be said that artificial intelligence is used instead of or in support of human power within the collective structure of cinema. Box office results are one of the most important indicators of success for the producers of films, in which more than one department is involved in the production process. ScriptBook is an artificial intelligence software that uses movie scripts as data. It reveals the possible success or failure of films at the box office by analyzing the elements in their scripts. In the study, the working principles of the software and its contribution to the film industry will be examined.
Computational Thinking
Authors: Busuttil Leonard , Vassallo Diane , Schembri Patrick
Published: December 2024

This chapter reviews research on integrating computational thinking (CT) in early childhood education (ECE) over the past decade, emphasizing its growing importance as a crucial skill for the technological world. It explores how CT is taught in early years, the characteristics of CT activities, and their learning outcomes. The review identifies three methodologies: unplugged, coding, and robotics. Unplugged methods use tangible materials like games to teach CT without digital devices. Coding activities foster problem-solving and creativity, while robotics offer interactive learning with programmable robots. Learning outcomes include foundational CT skills, creative problem-solving, technical proficiency, cognitive and language development, and, with robotics, positive emotions, prosocial values, and environmental awareness. Integrating CT in ECE through these methodologies provides valuable learning experiences, fostering critical thinking and preparing young learners to be creative, analytical thinkers in a technologically advanced future.
Information Security Awareness in K12 Computer Science Education
Authors: İdil Tuba Kaynarca
Published: December 2024

Today's world is developing in many aspects like health, transport, communication. The area of technology is a kind of locomotive of the train because it affects the whole advancing arenas. Although shining development facilitates our lives and increases the life quality, it also causes some technologic threads. According to International Telecommunication Union (ITU) statistics, an estimated 5.3 billion people, or 66 per cent of the world's population, use the Internet. How nice to reach each other rapidly even though we are far away from each other, but what about hackers, malicious people? This chapter focuses on the importance of information security and cybersecurity education at K12 Level.
Tools and Resources for K-12 Computer Science Education
Authors: Tonbuloğlu İsmail
Published: December 2024

K-12 computer science education utilizes a variety of tools and resources that make significant contributions. Tools such as unplugged computer science tools, block-based computer science tools, text-based computer science tools, physical computer science tools, robotic kits, artificial intelligence, etc. have an important place in K-12 computer science education. It is crucial to incorporate computer science instruction into the basic courses of K-12 students, as well as to incorporate these tools into the curriculum. Worldwide resources have a significant impact on the enrichment and dissemination of K-12 computer science education. The content and resources created by platforms like Computer Science Teachers Association (CSTA), International Society for Technology in Education (ISTE), National Centre for Computing Education (NCCE), etc. contribute significantly to K-12 computer science education. Websites such as K-12 Computer Science, CS for ALL, Teach Computing, Code.org, Scratch, etc. are also important platforms that have become learning communities in computer science education.
Revolutionizing Pharmaceutical Sciences
Authors: Bindu Ch. Hima , Babu Raveendra , Bhimana Sasidhar , Babu M. Kishore , Devadas Ch. , Jalaiah M.
Published: December 2024

Artificial Intelligence (AI) is revolutionizing the pharmaceutical sciences by significantly impacting drug discovery and development, which traditionally is a lengthy, difficult, and costly process often resulting in unrewarded investments. AI has given a way in accelerating the drug discovery cycle, reducing costs, and integrating the 3R principles (Replacement, Reduction, and Refinement). It has been instrumental in predicting drug-target interactions (DTIs) and understanding mechanisms of action, as demonstrated by the AI-DTI model which successfully rediscovered DTIs for COVID-19 treatments. AI's role extends to predicting drug toxicity, bioactivity, and physicochemical properties, complementing conventional experiments and accelerating the drug discovery process. This is further supported by machine learning (ML) and deep learning (DL), used for computer facilitated drug discovery, in addressing molecular design and reaction prediction. AI tools and methodologies enhance decision making, efficiency in drug development to improve the human health outcomes.
Trends of Pharmacogenomics in Personalized Medicine
Authors: Georrge John J. , Mishra Saurav Kumar , Roy Sneha , Chhetri Tabsum , Gurung Kusum
Published: December 2024

Personalized medicine is a medical approach in which treatment focuses on individual characteristics or genetic profiles. Integrating advanced technology and Pharmacogenomics emerged as a new way that can precisely analyze based on the genetic information of an individual's reaction to a drug. It also acts as a bridge between pharmacokinetics and pharmacodynamics in optimizing strategies for a better and safer understanding of treatment options at an individual level. Though pharmacogenomics has some established roles in personalized medications, it is not free from challenges and ethical considerations. The prospects of pharmacogenomics are very optimistic; it is potent enough to revolutionize treatments and open new ways of direction in personalized medicine, and the genome-wide approaches and omics integration related to pharmacogenomics provide a comprehensive scope of drug reactions and many others. So, this study aims to provide a detailed understanding of pharmacogenomics and its role in personalized medicine, followed by the technologies, advancement, and future directions.
Neutrosophic Soft-Rough Matrices
Authors: Vijayabalaji Srinivasan , Thillaigovindan Natesan , Rajasekaran Ranganathan , Sathiyaraj Kopikrishnan
Published: December 2024

This work investigates the formation of neutrosophic soft-rough matrices, building on the principles of soft-rough matrix theory. Drawing from the concepts of neutrosophic markov chains and transition matrices, we introduce novel ideas in the form of Neutrosophic soft transition matrices and Neutrosophic soft-rough transition matrices. In this research, we provide a comprehensive overview of these new matrices, detailing their properties and potential applications. By presenting several examples, we illustrate how Neutrosophic soft transition matrices and Neutrosophic soft-rough transition matrices can be utilized in various scenarios. Additionally, we discuss key results that underpin these new structures, offering rigorous proofs and explanations to support our findings.
Smart Food Packaging Systems by Integrating HPC With Robotics and Electronics for Enhanced Efficiency
Authors: Priya S. , Prasath R. , Bathrinath S. , Venkatamuni T. , Logesh S. K. , Boopathi Sampath
Published: December 2024

This chapter delves into how HPC can be integrated with robotics and electronics to come up with smarter food packaging systems that improve product quality more efficaciously. As consumers become ever more demanding about freshness and safety, the task facing traditional packaging methods is monumental in maintaining the quality of the packaged goods. The enormous amount of data analyzed in real-time by HPC will subsequently enhance processes in packaging while improving decision-making. Robotics takes the automation process a step further with packaging, providing greater assurance now about precision, speed, and decreased human error. In addition, electronic sensors advance electronic sensing technology to monitor environmental conditions and provide critical data for optimal product integrity. The synergistic effect of this not only makes operations smoother but also decreases waste and enhances sustainability in food packaging.
Accreditation and Quality Assurance in Traditional and Non-Traditional Education
Authors: Abouammoh Bedour
Published: December 2024

Academic accreditation is critical in ensuring the quality of educational institutions and fostering continuous improvement, though it can sometimes overshadow key educational objectives. In e-learning environments, institutions face quality assurance challenges, particularly personal interaction and developing communication skills. Some employers still prefer traditional education over online learning, indicating the need to shift negative perceptions of non-traditional education. Student satisfaction enhances institutional reputation, highlighting the importance of refining feedback mechanisms to better reflect experiences. Non-traditional education is often viewed as a secondary choice for practical reasons like career advancement or convenience. Institutions must improve the quality of non-traditional education while addressing concerns from employers and learners to increase its acceptance and value. This chapter explores challenges, perspectives, and future directions for academic accreditation and offers a qualitative analysis of stakeholder responses.
Bachelor and Master Engineering Theses
Authors: Cerezo-Narváez Alberto , Montero-Gutiérrez MPaz , Castro-Medina Daniel , Ramírez-Peña Magdalena , Sánchez-García Daniel , Delgado MCarmen Guerrero , Otero-Mateo Manuel , Pastor-Fernández Andrés , Ramos José Sánchez
Published: December 2024

Bachelor and Master engineering theses assess professional competencies. These theses evolved to meet professional demands, verifying a good preparation. Historically, Spanish engineering required rigorous final projects for professional practice, regulated by professional colleges to ensure quality. These works became formal curriculum subjects, in which students should demonstrate their skills and knowledge, addressing real sector needs and benefiting from industry collaborations. Without formal teaching to standardize these projects, tutors guide students in planning and problem-solving. This chapter presents a case study of an innovation project to simplify and virtualize theses processes in engineering degrees. The initiative provides virtual resources, standardized procedures, and equal opportunities, facing resource access issues and supervision variability. A virtual platform with training modules, guides, and mentoring programs benefits students and can model other universities. These deliverables enhance learning experiences, preparing them for successful careers.
Bridging Borders in the Globalisation of Higher Education
Authors: Goronga Pedzisai , Deredzai Memory , Matongo Morine , Mazhude Abigail
Published: December 2024

As higher education institutions worldwide strive to prepare students for a globalised world, internationalisation has become a crucial aspect of their strategies. However, this trend brings unique challenges, particularly in quality assurance and accreditation. This chapter explores the interconnections between internationalisation and quality assurance, highlighting the need for effective strategies to navigate these complexities while upholding quality standards. By examining the dimensions, motivations, and rationales of internationalisation, this study provides insights into best practices and strategies for integrating internationalisation with quality assurance and accreditation mechanisms. Recommendations emphasise the importance of collaboration, cultural competence, and research and evaluation to ensure high-quality education that meets global standards. This study serves as a guide for institutions and stakeholders involved in internationalisation, providing insights to navigate the complexities of internationalisation while maintaining quality standards.
Curriculum Design and Innovation
Authors: Filgona Jacob , Mahmud Zainab , Babba Gidado
Published: December 2024

Schools facilitate teaching and learning through a structured document called the curriculum, which outlines the programs and subjects offered. This curriculum encompasses the knowledge, skills, values, and norms that learners acquire. As society evolves, the curriculum must be regularly updated to meet contemporary needs and advancements. This chapter explores curriculum design, various models, principles of planning, factors influencing design, and the significance of curriculum innovation, including obstacles and future directions in education.
Defining Micro-Credentials
Authors: Kayyali Mustafa
Published: December 2024

Micro-credentials have emerged as a versatile tool in education, offering learners the opportunity to acquire specific skills and competencies in a flexible manner. This paper delves into the theoretical underpinnings of micro-credentials, exploring their conceptual framework and theoretical foundations. It examines various pedagogical strategies for the effective implementation of micro-credentials, considering aspects such as assessment, feedback, and instructional design. Furthermore, the role of micro-credentials in promoting lifelong learning is explored, highlighting their potential to support continuous skill development and career advancement in an ever-evolving job market. By synthesizing concepts, theories, and pedagogies, this paper aims to provide a comprehensive understanding of micro-credentials and their implications for educational practice.
Ensuring Quality in Online and Distance Learning Programs
Authors: Pareek Ritu
Published: December 2024

This research paper examines quality assurance in online and distance learning programs in India, focusing on essential elements like clear learning outcomes, interactive course content, and student support services. It delves into the challenges unique to the Indian context, such as technological infrastructure, instructor preparedness, and student engagement. The study evaluates the effectiveness of various quality assurance tools, including course evaluations, self-assessments, and external reviews, while also highlighting the critical role of regulatory frameworks. Additionally, the paper underscores the importance of stakeholder satisfaction, emphasizing that the success and sustainability of online education depend on meeting the needs of students, faculty, and administrators. By offering insights and recommendations, the research aims to guide policymakers and educators in improving the quality of online and distance education in India.
Recent Trends in Global Quality Assurance in Higher Education
Authors: El-Hassan Karma
Published: December 2024

Globalization, massification of tertiary education, changing labor market and ICT revolution have radically altered the tertiary education environment posing new challenges to governments, higher education providers and other key stakeholders in terms of relevance and credibility of provisions. Quality assurance has evolved and became a prominent feature of higher education reforms worldwide. At the start of the millennium, a global quality assurance model emerged as regional and international networks of quality assurance agencies cooperated on setting pre-defined quality standards and criteria for self-assessments. However, with the radical alterations in higher education, it became clear that the traditional means for internal and external evaluations are no longer adequate to ensure the acceptable level of tertiary education performance This chapter elaborates on the above issues by a) identifying the trends challenging existing QA models, and b) elaborating on innovative approaches to quality assurance to meet these challenges.
Removing IT-Related Fields Barriers From Indigenous Recognition and Academic Positions in Developing Countries' Tertiary Institutions
Authors: Yashi Kamaluddeen Musa , Kawure Jibril Hussein , Balarabe Farida , Ahmed Aminu Adamu
Published: December 2024

This book chapter addresses the challenges faced by indigenous individuals in developing countries in their pursuit of recognition and academic positions in IT-related fields within tertiary institutions. It explores the systemic barriers that hinder their advancement, and presents strategies for creating a more inclusive and supportive environment. By examining the intersection of indigenous representation and academic positions in IT, this chapter aims to contribute to the broader discourse on diversity, equity, and inclusion in higher education and the technology sector. This book chapter seeks to shed light on the complex barriers faced by indigenous individuals in academia, particularly in IT-related fields within developing countries' tertiary institutions. By offering insights and recommendations, it aims to contribute to the ongoing efforts to create more equitable and inclusive academic environments for indigenous scholars and researchers.
Regulatory Frameworks and Policies for Sustainable Aviation Marketing
Authors: Kaakandikar Rishikaysh Marotrao , Wawre Dhanashri Deepak
Published: December 2024

The aviation industry is a significant contributor to global greenhouse gas emissions, posing a challenge to sustainable development goals. This chapter discusses the use of regulations and policies in promoting sustainability in aviation marketing, including international agreements, government policies, and industry standards. From highly technologically intensive and novel methods such as biofuels, including sustainable aviation fuels (SAFs), to broad and long-standing approaches, including carbon offsetting, and stakeholder-financed market-based measures, including the EU Emissions Trading System (EU ETS) and the International Civil Aviation Organization's (ICAO) Carbon Offsetting and Reduction Scheme for International Aviation (CORSIA). The chapter also focuses on the opportunities for technological change and partnership in reaching the goals of carbon neutrality by 2050. Thus, this chapter presents an understanding of the current state and trends in sustainable aviation marketing based on the evaluation of these policies and the definition of effective practices
Quantitative and Qualitative Disclosure of Corporate Social Responsibility in the Aviation Sector
Authors: Boulesnam Mohamed , Hocini Ouissam , Rezazi Imad , Boukhors Abdelaziz
Published: December 2024

This chapter investigates the evolution of Corporate Social Responsibility (CSR) practices at Singapore Airlines from 2018 to 2024, with a focus on both quantitative and qualitative disclosures. As the aviation and airline industry face increasing pressure to adopt sustainable practices due to its significant environmental and social impacts, Singapore Airlines' CSR efforts were critically examined. The study analyzes CSR activities across key areas, including employees, environment, customers, and community, identifying trends and shifts in the company's strategic focus. Through comprehensive analysis of sustainability reports, the research highlights the growing emphasis on employee welfare and environmental stewardship, reflecting broader industry trends towards more integrated and strategic CSR approaches.
Greening the Skies by Impact of Green Marketing on the Competitiveness of the Ethiopian Aviation Sector With the Mediating Role of Eco-Labeling
Authors: Adula Metasebia , Kant Shashi
Published: December 2024

This chapter looks at the connection between Ethiopia's aviation industry's competitiveness and green marketing, emphasizing the function that eco-labeling plays as a mediator. A survey was carried out among 450 stakeholders, encompassing airline passengers, industry professionals, and legislators. The study takes a quantitative approach and makes use of several statistical methods. First, to determine if the sample is sufficient for factor analysis, the Kaiser-Meyer-Olkin (KMO) test is performed. The measurement model is then validated, and the validity and reliability of the components are confirmed, using confirmatory factor analysis (CFA). The final step involves testing the hypothesized links between eco-labeling, green marketing, and the competitiveness of the Ethiopian aviation sector using structural equation modeling (SEM) with the AMOS program. The results indicate that the competitiveness of the Ethiopian aviation sector is significantly enhanced by green marketing, and that this link is somewhat mediated by the adoption and use of eco-labeling techniques.
Drivers and Barriers to Adopting Sustainable Air Travel Behavior
Authors: Tavman Emine Başak
Published: December 2024

In recent years, concepts such as “sustainable aviation,” “sustainable flying,” and “carbon offset programs” have become more frequently heard. The number of sustainable aviation services is increasing daily, and with the rapid growth of the world economy, passenger flights worldwide are expected to double by 2040 (IATA, 2023). Air transportation accounts for 2.4% of all anthropogenic CO2 emissions and contributes three times more to global warming (Lee et al., 2021). Choosing sustainable air travel will help to reduce CO2 emissions and thus reduce the rate of global warming. However, the drivers and barriers affecting sustainable air travel choices have not yet been fully identified. A better understanding of sustainable airline preferences will enable the development of strategies for behavior change and more effective marketing efforts. In this section, the barriers and drivers to the adoption of sustainable aviation behavior will be discussed.
Greenwash Tactics of Airlines
Authors: Arslan Seda , Uz Canan Yılmaz
Published: December 2024

The purpose of the study has been to reveal the impact of airline companies' greenwashing activities on green brand image, green brand loyalty, and green purchasing behavior. A questionnaire has been used as the data collection tool in the study.. Participants of the survey have been selected through convenience sampling, and data has been collected via social media. A total of 408 passengers have been reached. It has been found that perceived greenwashing has had a negative, direct, and statistically significant impact on both green brand image and green brand loyalty. However, it has been determined that the variables of perceived greenwashing and green brand image have not had a statistically significant direct effect on green purchasing behavior. In line with the supported and unsupported findings, recommendations have been made to the literature and stakeholders of the aviation industry.
Mathematical Modeling of Real-Time Signal Processing in IoE
Authors: Chandrashekara A.C. , Barua Smrita , Sharma Pranjali , Ghosh Gopal , Nandagopal K. , Shivaram K. T.
Published: December 2024

This research suggests a comprehensive mathematical modelling approach for the efficient processing of signals in real-time within Internet of Everything (IoE) environments. The model employs state-of-the-art methods in signal processing, control theory, and machine learning to address the challenges posed by the constantly changing and diverse IoE networks. The proposed architecture employs real-time data processing and collection to improve the overall resilience of the network, increase the accuracy of decision-making, and improve system performance. Adaptive filtering strategies were implemented in this investigation to maintain signals in dynamic network environments. Additionally, robust algorithms were developed and executed for anomaly identification, data compression, and noise reduction. The proposed model's potential to significantly enhance the capabilities of IoE systems is demonstrated through extensive simulations and real-world case studies, which serve to assess its utility.
VLSI-Based Real-Time Banking Security Systems
Authors: Isam Mustafa , Faris Najlaa Nasrulaah , Alfara Abdullatef Mohammad , Alkhayyat Ahmad
Published: December 2024

The process of incorporating technology that is founded now being carried out. To improve the efficiency of security measures that are essential for the protection of sensitive financial data, the purpose of this study is to investigate the implementation of modern VLSI techniques. More specifically, the purpose of this work will be to enhance the efficiency of the security measures taking place. To provide dependable encryption, secure authentication methods, and efficient data processing in real-time scripts, the study explores the approaches that are now in use and provides novel alternatives that are consistent with the capabilities of VLSI. This is done to provide these benefits. The goal of this investigation is to provide insight into the process of designing banking systems that are largely reliable and safe. This will be accomplished by undertaking an analysis of the design considerations and performance standards of very large-scale integrated circuits (VLSI). This topic is extremely important given the increasing number of risk factors associated with cybersecurity.
VLSI Architectures for Real-Time Business Intelligence
Authors: Umare Komal , Selvi G. Pandi , Badre Shailesh , Badre Pallavi , Ashokkumar N. , Palav Manesh R.
Published: December 2024

The businesses to be able to assess and make decisions regarding perceptivity in real-time, they are required to have powerful processing systems that are capable of high speeds. As a result of limitations in terms of speed, efficacy, and scalability, traditional processing infrastructures frequently fail unexpectedly when it comes to meeting these requirements. Providing tailored design solutions that optimize data output and processing efficiency is one of the prospective outcomes that may be accomplished through the use of VLSI infrastructures. The purpose of this study is to investigate the methods that are currently being utilized for the design of (VLSI) circuits and to present unique architectural fabrics that enhance the performance of business intelligence applications such as data mining, forecasting analytics, and real-time decision aid. The results of the experiments indicate that there are significant advantages in terms of both the speed at which processing is carried out and the efficiency with which energy is utilized when compared to conventional infrastructures.
IoE Applications in Real-Time Workforce Management
Authors: Anand J. , Aronkar Praveen , Shaikh Mohsin , Kamalaveni M. S. , Palav Manesh R. , Palav Sharada Manesh
Published: December 2024

By providing real-time data and analytics, the Internet of Everything (IoE) is revolutionising workforce management. This is leading to enhancements in productivity, staff engagement, and operational efficiency. This article delves into the real-time administration of the workforce through the implementation of the Internet of Everything (IoE). It specifically investigates the automation of administrative activities, the monitoring of the workplace, and the evaluation of employee performance. By utilising Internet of Things (IoT) technologies, including sensors, smart devices, and advanced analytics, organisations can enhance their decision-making processes, establish a more productive and agile work environment, and acquire critical insights into worker dynamics. The article illustrates how the Internet of Everything (IoE) can improve a company's agility and competitiveness by challenging traditional personnel management methods through the use of prominent case studies and exemplary strategies.
Real-Time Environmental Monitoring With IoE Systems
Authors: Ojha Mritunjaykumar , Das Abhijeet , Patil Sonali , Pandey Ashish , Kulkarni Chinmay , Nalawade Anurag
Published: December 2024

The introduction of real-time environmental monitoring, which is facilitated by Internet of Everything (IoE) technology, has substantially enhanced the capacity to collect, evaluate, and respond to environmental data. Real-time data on environmental factors, including noise, temperature, humidity, and water and air quality, is collected by IoE systems. This is accomplished through the utilisation of a network of communication channels, devices, and sensors. In order to guarantee prompt responses and valuable insights, we employ sophisticated analytics and state-of-the-art machine learning algorithms to further process this data. By facilitating more informed and efficient decision-making, the Internet of Everything (IoE) has the potential to enhance environmental monitoring, public health, and sustainable development. The complexity of designing and implementing IoE systems to monitor environmental conditions in real time is the focus of this study. It investigates the fundamental technologies, as well as the diverse applications and obstacles that are linked to these systems.
Artificial Intelligence and Machine Learning in VLSI
Authors: Singh Bhupinder , Raghav Anjali
Published: December 2024

The revolution of energy management in Very Large Scale Integration (VLSI) can be realized for lower power and sustainability with Artificial Intelligence (AI) and Machine Learning (ML) as an essential tool to maintain the smart city. Reduction of size is the origin of very-scale integrated (VLSI) technology that permits as usual more complex circuit building and also achieves higher densities in electronics systems. AI and ML machines optimize the performance of these systems resulting in a higher clean energy yield, solving for some or all supporting smart cities with equitable access is touted to be achieved. This chapter focuses on minimizing energy waste, predicting maintenance intervals for critical infrastructures, integrating into smart grids and a more robust renewable energy generation - these are the building blocks of smarter cities that will consume fewer resources while generating increasingly efficient services.
AI-Based Real-Time Traffic Management Systems
Authors: Thorat Nilesh N. , Kulal Nilesh M. , Patil Vijaya S. , Kokare Dnyaneshwar U. , Hirve Sumit arun , Date Anup
Published: December 2024

The implementation of systems that are anchored on AI. The system that is being proposed is designed to optimize the flow of business, minimize the amount of traffic, and improve the general mobility of the community by utilizing sophisticated machine learning algorithms and real-time data analytics. To provide a full overview of the present state of the business, the system incorporates data from a wide variety of sources, such as business cameras, detectors, and bias enabled by GPS. A system that is grounded in artificial intelligence can predict and respond to business dislocations through the utilization of prophetic modeling and dynamic signal control. This allows for the reduction of detainments and the improvement of trip effectiveness. Additionally, the research delves into the armature of the system, examining its limitations in terms of perpetration as well as its implicit benefits. The findings from airman systems in some metropolitan regions reveal considerable improvements in the flow of corporate operations and a reduction in the amount of time spent commuting.
IoE-Based Systems for Real-Time Health Data Analytics
Authors: Khan Shaista , Karthiga I. , Palav Manesh R. , Poorani S. , Tejasri V . , Maaliw III Renato R. , Shahul Aakifa
Published: December 2024

The introduction of technologies that are a component of the Internet of Everything (IoE) in the healthcare business is being considered. In this article, we will investigate how the Internet of Everything (IoE), which consists of linked bias, detectors, and data analytics platforms, makes it possible to continuously monitor and analyze physiological indicators such as the fluctuation of heart rate, blood glucose levels, and effort patterns. Specifically, we will look at how the IoE makes it possible to monitor and analyze these indicators. When healthcare professionals make use of fabrics that are connected to the Internet of Everything, they can collect and reuse significant volumes of data from a wide variety of sources in real time. Rapid action and the provision of healthcare that is supported by evidence are both made possible as a result of this process. Important factors include detection networks, powerful computing systems, and advanced analytics techniques. These variables are used for the aim of prophetic modeling and discovering anomalies using these techniques.
Quantum Leap in Customer Persona Development
Authors: More Pratik , Pothula Shiva Sai Kiran
Published: December 2024

Quantum Artificial Intelligence offers a new avenue in enhancing customer personas through the combination of quantum computing and AI to process large files in parallel computing. This chapter describes how QAI enables real-time updates of customer profiles in real synchrony with dynamic behaviors, preferences, and practices. Quantum machine learning enhances both sentiment analysis and predictive modeling with the help of natural language processing, which enables high personalized experiences for businesses. QAI's ability to analyse large volumes of data improves the strategies of marketing through better customer segmentation, improvement in the areas of recommendation engines, and accurate predictions about consumer behavior. This chapter showcases the transformative potential of QAI in empowering the task of real-time personalized data-driven marketing and providing better relations with customers that drives the new age businesses. Integration of QAI in persona development will help companies achieve higher customer satisfaction and loyalty in the evolving digital marketplace.
Optimizing Feature Selection for Predictive Analytics With Quantum Algorithms
Authors: Manushree C. N. , Putluru Hari Deepthi , Khajuria Himanshu , Singh Chintan , Nayak Biswa Prakash
Published: December 2024

Quantum algorithms for predictive analytics is important across various sectors such as finance, healthcare, marketing and supply chain management where accurate predictions can be used to optimise operations and decision-making processes. This chapter addresses Specific quantum machine learning algorithms such as Quantum Support Vector Machines (QSVM), Quantum K-nearest Neighbors (QKNN) and Quantum Neural Networks (QNN). These algorithms enhance classification, regression and complex predictive tasks by accelerating training processes and managing large feature spaces effectively. And, to this, quantum optimization algorithms like Quantum Approximate Optimization Algorithm (QAOA) and Variational Quantum Eigensolver (VQE) are mentioned for their role in optimising model parameters and improving prediction accuracy. In addition, it discusses quantum data encoding methods, such as Quantum Fourier Transform (QFT) and amplitude encoding. Along with this, it acknowledges significant challenges such as hardware limitations, algorithmic complexity and practical integration issues.
Rising to the Presidency From a Student Affairs Seat
Authors: Lee Tyjaun A.
Published: December 2024

This chapter offers insights and practical guidance for Student Affairs professionals who aspire to transition into the college presidency, drawing on the journey and lived experiences of Tyjaun A. Lee. It highlights the non-traditional pathway from Student Affairs to presidential roles, emphasizing that while this route presents unique challenges, it also provides invaluable strengths. Key skills such as resilience, adaptability, and emotional intelligence are essential for navigating the complexities of institutional leadership, as leaders must respond to unforeseen crises and balance diverse needs across the institution (Goleman, 1998; Bolman & Deal, 2017).
Strategic Planning Leadership for Aspiring and New Presidents
Authors: Krotseng Marsha V. , Ruch Charles P.
Published: December 2024

The post-COVID environment has left colleges and universities with uncertain futures. Changing student demographics, enrollment patterns, strained budgets, and curriculum preferences combined with enhanced use of technology present challenges for aspiring and current college presidents. Traditional long-range plans that provided a model for institutional programming and fiscal stability are no longer useful to presidents for charting an institution's future. Agile, data-informed plans addressing the current context, both within the institution and beyond, are required. In this chapter, the authors present a history and critique of traditional planning, a review of multiple planning models for the new environment, and related case studies, all emphasizing the imperative of presidential leadership in the strategic planning process. Resources cited in this chapter acquaint aspiring presidents with essential planning elements, approaches, and real-life examples. They also offer strategies and models for new and current presidents launching, implementing, or monitoring a strategic plan.
A Look in the Mirror
Authors: Vance D'Shaun
Published: December 2024

Ritchie and Bale (2000), describe self-assessments as measurements of how good a business is and how they can move forward. Self-assessments can assist institutional leaders respond to the desires of both internal and external stakeholders, while meeting the institution's goals and objectives set forth in strategic plans. Additionally, Self-assessments increase accountability at all levels for higher education professionals to perform at levels defined by university leadership (the board and president) and agreed upon by the faculty and/or staff members. This chapter will show aspiring college presidents how to implement effective self-assessment practices to increase overall satisfaction with the university and its departments. It will also introduce readers to the Council for the Advancement of Standards in Higher Education, also known as CAS.
The College President Builds a Faculty
Authors: Miller Michael T. , Tolliver III David V.
Published: December 2024

College presidents have a broad range of areas of responsibility and perhaps no single area is more important than those front-line faculty. Though presidents often spread authority across multiple administrators, they are ultimately responsible for the work of the faculty. This means that they must be prepared to strategically design a process of hiring the right faculty, provide them with the appropriate training and development, and work toward retaining those who the best fit for the institution. The chapter provides an examination of who faculty are and institutional issues related to them, such as qualifications, hiring, development, and retention. From this introduction, five key strategies are offered to presidents to assist with constructing a faculty composition that is best for the institution. These strategies include defining a role for faculty in the institution, creating appropriate policies for working with faculty, investing in faculty development, strategically using faculty for the institution's mission, and assessing the faculty plan.
Exploring the Motivations and Impacts of Prenatal Tourism in India
Authors: Kumar Narendra
Published: December 2024

Prenatal tourism, the newest segment within the ambit of medical tourism, involves expectant mothers traveling to foreign countries to give birth. This study explores the motivations driving prenatal tourism in India and examines its multifaceted impacts. Through a comprehensive analysis, the research aims to understand why India is an attractive destination for prenatal tourists and the consequences of this trend on various stakeholders. By providing a holistic view of prenatal tourism in India, this research highlights the need for balanced policies that maximize benefits while mitigating potential downsides. The findings offer valuable insights for policymakers, healthcare providers, and prospective prenatal tourists, contributing to a deeper understanding of this emerging phenomenon and its implications for the Indian medical tourism landscape.
Exploring Trends and Growth of Prenatal Tourism in India
Authors: Kumar Amit , Singh Kajal , Nain Deepak , Bansal Saloni
Published: December 2024

Prenatal tourism is like a memorable trip that moms and dads take to another country to get extra help with having a baby. In India, this has become pretty popular because of the Brokpa community, as they consider themselves pure “Aryans”. Also, there are descends of “Alexanders”. In the late 90s, India became a fantastic place for people from different countries to get pregnancy help. They learn about decades of Alexanders and come here to get pregnant. In the beginning, they visit as Travellers and start an affair with locals to make them pregnant. As soon as they get pregnant, they leave for their countries. Soon, the local males realised that there was something fishy. A large number of females from Europe come here. So, they started charging for their services, which started a small pregnancy tourism industry there. However, they dislike discussing this because they feel disrespected (Medium, 2023). The present study aims to explore the recent trends and growth of prenatal tourism in India.
Innovations and Future Directions in Prenatal Tourism in India
Authors: Semwal Rajeev , Tyagi Pankaj Kumar , Tripathi Nandita
Published: December 2024

This chapter examines India's prenatal tourism industry and the innovations and future directions that make it a top destination for expectant parents seeking comprehensive prenatal care. Legal, healthcare, and cultural factors all have an impact on prenatal tourism, which involves childbirth abroad. Healthcare technology, traditional medicine, and customised hospitality services are changing the industry in India. The chapter discusses prenatal tourism in India, including its history, market, and challenges. Telemedicine, AI-driven services, and eco-friendly practices are also driving growth. The discussion covers legal and ethical issues essential to industry growth and sustainability. The chapter concludes by identifying expansion opportunities, particularly in untapped markets, and suggesting policies to promote innovation and ethics. The chapter explains how India can use its strengths to shape prenatal tourism worldwide.
Navigating the Ethical Responsibilities of Hospitality Providers in the Realm of Prenatal Tourism and Birthright Citizenship in India
Authors: Roy Bidisha , Upadhyay Santosh Kumar
Published: December 2024

The chapter examines the an intricate structure of moral, legal, and social ramifications must be navigated by stakeholders in India's hospitality sector as a result of the growing trends of prenatal tourism and birthright citizenship. In order to give birth within India's boundaries and provide their children the right to birthright citizenship under Indian law, pregnant parents—many of whom are foreign nationals—travel there for prenatal tourism. The hospitality industry, which includes hotels, resorts, and other lodgings that serve these visitors, is becoming more and more central to this phenomena, which raises important ethical questions about national security, cultural integrity, guest welfare, and regulatory compliance. It also depicts the unique set of ethical challenges of the hospitality industry in India with the rise of prenatal tourism and birthright citizenship. Along with that it also proposes pathways to decrease the problems related to prenatal tourism and birthright citizenship keeping in mind the different policies, laws imposed by the Government, India.
Birth Tourism Overseas for Citizenship Rights
Authors: Medhekar Anita
Published: December 2024

This chapter explores the importance of why people travel abroad for ‘birth tourism and the challenges and opportunities faced by parents who travel abroad to secure citizenship rights and better future for their child in a developed country that grants birthright citizenship. There are numerous complex motivating and the coordinating factors, such as citizenship, ethics, immigration, regulation, health and maternity services, and demand and supply of labour, which drives the birth tourism sector and the host country to provide birthright citizenship to babies born on their soil. Case study examples of three countries USA, Australia and Germany is provided. Therefore, building ethically, regulatory and socially responsible sustainable business of birth tourism industry, is critical for safety and wellbeing of the mother and the underlying reasons for granting birthright citizenship, linked with demand for labour. Further, discussion, policy implications and future research directions are provided.
Rural Women Entrepreneurs Barriers in Dehradun
Authors: Srinivasan S. , Tyagi Nidhi , Lama Prabha
Published: December 2024

Even though women entrepreneurs play a pivotal role in the economic growth of the country, their growth has been subdued. This is because of the gender differences women face in the competitive business market compared to their male counterparts. The prime objective of this study is to unravel the challenges and problems faced by rural women entrepreneurs in India. These women entrepreneurs are essential to the social and economic development of the nation. They are involved in diverse jobs, including business enterprises, Women Farmers, Beauty Parlour, and Merchant. Today, they face problems like lack of knowledge and awareness, financial constraints, social and cultural barriers, poor mobility, lack of raw materials, and absence of advanced technology. This paper showcases the problems and issues faced by rural women entrepreneurs in India.