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Artificial intelligence-enabled project-based learning to augment subject comprehension among commerce graduates
In project-based learning, students participate in and create knowledge, problem solve and interact with their peers. This method is an active learning program that provides a deep grasp of subject matter as well as teaches critical thinking skills. AI technology in project-based learning creates an environment that is dynamic this allows students to succeed academically. A convenience sample of 100 students will be selected for this experiment-based research. The results using the advanced statistical tools and techniques using the SPSS ver 28 and Independent t test Paired t test were used. The results of the study indicate students in the experiment group had better subject comprehension from project based learning when AI based interventions are given. In contrary, the control group which was not administered with any AI interventions showed moderate increase in subject comprehension. The study's implications emphasise that AI-based projects, real-time feedback, personalized learning resources, and virtual simulations help deepen their understanding of commerce subjects. 2025, IGI Global Scientific Publishing. All rights reserved. -
Charting the Course of Leadership Through the Digital Era: A Synergy of Leadership Styles, Technology Integration, and Deep Learning
This chapter aims to provide actionable strategies for empowering leaders in leveraging technology to amplify their leadership efficacy in contemporary business environments by employing extensive literature review and deep learning models, a method in Artificial Intelligence (AI). It investigates the effectiveness of three leadership approachesTransformational, Transactional, and Servant Leadershipin meeting high-performance expectations within organizational contexts. The performance of these leadership styles based on their effectiveness scores have been analyzed using data analysis techniques and neural network models, including Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). Furthermore, Deep Convolutional Generative Adversarial Networks (DCGANs), have been utilized to visualize complex leadership dynamics. The findings from this comprehensive analysis provide valuable insights into the strengths and limitations of each leadership approach, guiding strategic leadership development initiatives and organizational decision-making processes. 2025 by IGI Global Scientific Publishing. All rights reserved. -
Green Infrastructure
This chapter explores Green Infrastructure (GI) as a pivotal approach in sustainable urban development, integrating natural and engineered systems to create resilient and livable cities. It examines how GI enhances ecosystem services, mitigates climate change impacts, and supports biodiversity while contributing to human well-being. Through a comprehensive analysis of case studies and policy frameworks, the chapter demonstrates the transformative potential of GI in advancing sustainable urban solutions. It also discusses challenges and opportunities in implementing GI, emphasizing the need for innovative governance strategies to foster collaboration among stakeholders. By highlighting best practices and lessons learned, the chapter provides a roadmap for integrating GI into urban planning and policy to achieve long-term environmental, social, and economic benefits. 2025 by IGI Global Scientific Publishing. -
Combating Evolving Threats: A Systematic Review of Online Ad Fraud Detection
This systematic review investigates online ad fraud detection and brand safety research from 2011 to 2024. The analysis reveals a continuous battle against click fraud and its evolving forms. Machine learning has become a cornerstone of detection efforts, offering superior capabilities compared to traditional methods. The rise of mobile advertising necessitated the development of specialized solutions to address distinct user behavior and data patterns on this platform. However, research highlights an expanding threat landscape beyond click fraud, encompassing impression fraud and placement fraud. Brand safety concerns have also gained prominence, emphasizing the importance of protecting brand reputation. The review underscores the need 2025 by IGI Global Scientific Publishing. All rights reserved. -
Paradigms of posthumanism on screen: A study of films in Bollywood
Fine arts and cultural studies contribute greatly to the popular understanding of posthumanism. The ideas that are encapsulated under the umbrella of the term "posthumanism" help break away from the discourses that place the human at the center and expand to include dialogues against similar totalizing concepts. A movement towards posthumanism in Indian films can be observed in Bollywood's growing repository. This chapter studies the paradigms of posthumanism in Bollywood and its understanding in the Southeast Asian country. Environmental humanities, sci-fi, and horror act as the most fertile fields of study of the tenets of posthumanism as they grapple with societal debates. The chapter undertakes the study of posthumanism in Bollywood through an analysis of movies under Maddock films, namely Go Goa Gone, Bhediya, and Munjya. 2025, IGI Global Scientific Publishing. All rights reserved. -
An overview of AI applications in wildlife conservation
The integration of artificial intelligence (AI) into wildlife conservation has revolutionized methodologies for monitoring species, enhancing habitat management, and combating poaching. This chapter examines various AI applications that contribute to the protection and preservation of biodiversity. Remote sensing technologies, powered by machine learning algorithms, assist in assessing habitat health and tracking changes over time. AI- driven image recognition tools enable the identification of individual animals from camera trap photos, facilitating more accurate population estimates and behavioral studies. Moreover, predictive analytics play a crucial role in forecasting human- wildlife conflicts and informing proactive management strategies. This synthesis of AI technologies demonstrates their potential to enhance conservation efforts, optimize resource allocation, and ultimately foster more effective wildlife protection initiatives. The ongoing advancement of AI in this field promises to create innovative solutions to some of the most pressing challenges. 2025, IGI Global Scientific Publishing. All rights reserved. -
Sentiment and emotion analysis using machine learning techniques
Sentiment analysis and text emotion identification have grown in prominence due to their wide range of applications in fields such as psychology, artificial intelligence, human-computer interaction, and so on. There are numerous Machine Learning approaches available for emotion recognition and sentiment analysis. The chapter also delves into the key procedures of data collecting, preprocessing, and emphasising the necessity of good data in training effective models. Real-world applications from a variety of disciplines, including business, healthcare, and entertainment, are investigated to demonstrate the practical utility of these strategies. The chapter also covers the issues of ambiguity, context-awareness, and cross-linguistic disparities, as well as providing suggestions for future study paths. This chapter provides a detailed exploration of machine learning approaches to sentiment and emotion analysis, making it a valuable resource for researchers, practitioners, and students interested in using machine learning to understand and interpret emotional content in textual data. 2025, IGI Global Scientific Publishing. All rights reserved. -
Optimizing energy consumption in iot sensors through deep learning-based power management
The rapid growth of internet of things (IoT) devices necessitates efficient power management to curb escalating energy consumption. This chapter proposes a novel solution by employing deep learning techniques to optimize energy use in IoT sensors. The authors review existing IoT sensor energy consumption challenges and conventionalpower management limitations. Drawing ondeep learning's successes, they develop an architecture trained on curated sensor data. Practical implications span industries, scalability, and generalizability to diverse IoT setups. Economic insights highlight potential cost savings and benefits. In conclusion, the innovative deep learning-based approach addressesIoT energy challenges, offering a promising solution that optimizes usage and could reshape IoT device efficiency. This work opens avenues for hybrid strategies, merging deep learning with other techniques, further advancing energy efficient IoT systems. 2025 by IGI Global Scientific Publishing. All rights reserved. -
Leveraging artificial intelligence for sustainable development in agriculture: An exploratory study
In a world where sustainability has been given utmost priority, agriculture plays a pivotal role. Artificial Intelligence in the agricultural sector has changed the landscape of agriculture across the globe. 'Agvolution' (evolution in agriculture) including AI supported precision farming methods, data analytics, and robotics is a novel strategy which increases crop yields using less fertilizers, and energy. AI in agriculture supports ethical farming, boost revenue, and lessen negative environmental effects. AI systems aggregate data from weather stations, sensors, and satellites to produce improved weather forecasts. This mechanism enhances environmental sustainability. Despite numerous advantages with AI, the farming community face challenges like data security and privacy, high cost of machines and tools. In light of the above, the authors explore the usage of AI in agriculture to attain sustainability, and analyze the need to establish governance structures for increasing food security and systems to overcome the challenges faced by the farmers. 2025, IGI Global Scientific Publishing. All rights reserved. -
Impact of digital payment trends: Unraveling consumer behavior patterns (preand post-COVID-19)
The COVID- 19 pandemic has accelerated the adoption of digital payments worldwide, fundamentally altering consumer behavior patterns. This study investigates the impact of digital payment trends on consumer behavior, comparing pre-and post-pandemic scenarios. It delves into the factors which drove the shift towards digital payments, exploring the changing preferences and perceptions of consumers. The study examines the influence of demographics, socio-economic factors, and technological advancements on consumer adoption of digital payment methods. It also analyzes the effect of the pandemic on e-commerce, online shopping, and mobile payments, highlighting the emergence of new trends and preferences. The findings provide valuable insights into the evolving landscape of digital payments and consumer behavior, offering implications for businesses, policymakers, and researchers 2025 by IGI Global Scientific Publishing. -
Micro-finance institutions and women's entrepreneurship in India
Microfinance institutions are considered a miracle to reduce poverty, promote empowerment, reducing gender inequality by providing microcredit and other financial services to strata of people outside the ambit of the formal financial system. Such micro-credit and other services lead to promoting entrepreneurship ventures among women leading to financial freedom and economic development of the country. This chapter studied the status of microfinance institutions across all continents and their pace of evolution with respective objectives. India-specific mission objectives and business models of microfinance institutions were dealt with in detail. 200 literatures based on the keywords related to the theme of chapter titles were fetched from the Scopus database and were subjected to cooccurrence analysis using network visualization on VOS viewer software. Microfinance has been identified as one of the important tools for poverty reduction and women's empowerment by promoting women entrepreneurship. 2025 by IGI Global Scientific Publishing. -
AI Solutions for Complex Communication Network Challenges
As communication networks balloon in size and complexity, managing them effectively becomes a monumental task. This chapter explores how Artificial Intelligence (AI) offers a powerful toolkit for tackling the intricate challenges faced by these systems. By leveraging machine learning, deep learning, and neural networks, AI can significantly enhance network performance, optimize resource allocation, and bolster security. Outlining the major hurdles plaguing modern communication networks, such as scalability limitations, latency issues, congestion bottlenecks, and ever- evolving cybersecurity threats. The chapter also acknowledges the ethical considerations and potential risks associated with AI deployment, emphasizing the need for responsible practices. Ultimately, this chapter provides a comprehensive perspective on how AI can become the cornerstone of resilient and efficient communication networks, paving the way for future advancements in this critical field. 2025 by IGI Global Scientific Publishing. All rights reserved. -
Understanding the transitioning of artificial intelligence in human resource management: A scientometric performance analysis
The role of AI is crucial in the recruitment and selection process, training and development, compensation and performance appraisal process, and data-driven decision-making to strengthen the human resource information system. With the rapidly changing business environment, organizations are moving from traditional HRM practices to modern HRM practices like people analytics and HR analytics with the help of artificial intelligence. The aim of this study is to conduct a bibliometric review of scientific literature, aiming to identify and analyze critical topics, authors, sources, highly cited articles, countries involved, and the intellectual and conceptual structure within the field. The second part of the study has explored dominant themes, prominent authors, influential research articles, dominant countries, and thematic analysis to define the domain of AI and HRM. 2025 by IGI Global Scientific Publishing. -
Traffic management and congestion control in vehicular adhoc networks
Urban traffic congestion is a growing concern worldwide. Vehicular Adhoc Networks (VANETs) offer a glimpse into a future with smoother traffic flow and reduced congestion. These networks enable real- time communication between vehicles and infrastructure, creating a dynamic traffic management system. Imagine traffic signals that adjust based on real- time data, congestion being predicted and alleviated before it builds, and emergency services receiving faster response times. This is the potential of VANETs. Ensuring reliable communication and data integrity among constantly moving vehicles is crucial. Researchers are developing protocols and algorithms to address this, focusing on efficient routing, data dissemination, and network stability. The integration of emerging technologies like 5G, edge computing, and artificial intelligence holds promise for further enhancing network performance and robustness. While significant progress has been made, widespread adoption of VANETs faces hurdles. Scalability, security, privacy, and infrastructure development costs are significant concerns. 2025, IGI Global Scientific Publishing. All rights reserved. -
Building Partnerships and Networks for Collaborative Practice-Led Research Initiatives
This chapter delves into the strategic development of partnerships and networks aimed at enhancing collaborative practice-led research initiatives. It underscores the significance of these collaborations in fostering professional development across various disciplines. By analyzing successful models and theoretical frameworks, the chapter provides actionable insights for building and maintaining effective partnerships that drive innovation and professional growth. It also addresses critical challenges such as organizational culture differences, misaligned goals, and communication barriers, offering practical solutions for sustaining long-term collaborations and ensuring continuous improvement. The insights presented are grounded in rigorous academic research and aim to guide practitioners and researchers in creating impactful and sustainable collaborative networks. 2025 by IGI Global Scientific Publishing. -
Digital well-being and internet addiction across the lifespan
This chapter explores the pervasive influence of digital technologies across generations, focusing on the critical issues of digital well- being and internet addiction. It highlights how these challenges manifest differently across life stages, emphasizing the need for tailored interventions to promote healthy digital habits. The chapter also introduces the multidimensional addiction behaviour scale (MABS), a comprehensive tool for assessing addiction, particularly in the digital realm. By evaluating psychological, biological, social, and cognitive factors, MABS aids in early detection, intervention, and prevention of problematic behaviors. The chapter underscores the importance of interdisciplinary approaches and ongoing research to understand and address the long- term impacts of digital technology on well- being. 2025, IGI Global Scientific Publishing. All rights reserved. -
Exploring the role of AI attitude and AI perception on AI anxiety among Indian students
The increase in emerging AI technologies and their rapid evolution makes it difficult for students to effectively learn all these technologies as well as uncertainty in priorities as it keeps evolving. This brings a gap between individuals' skills and knowledge which further increases AI anxiety among the learners. The present study aims to understand the attitude and perception towards AI and AI anxiety among students in India. The authors utilised standardized test measures to collect the data among students. Perception and attitude towards AI and impact of AI had significant positive relationship while techno skepticism was negatively related. Further, significant difference was found in AI perception and techno skepticism based on gender and level of computer literacy. This study underscores the importance of digital literacy for healthy adoption and usage of AI. 2025, IGI Global Scientific Publishing. All rights reserved. -
ML-Based Fall Risk Prediction to Substitute Personal Assistance for Hospitalized Elderly: Integrating Geriatric Assessment and E-Health Records
Geriatric assessment serves as a holistic evaluation tool, encompassing various aspects of the elderly individual's health, including physical function, cognition, and psychosocial factors. Integration of CGA data with EHRs allows for a comprehensive analysis of the individual's health status and medical history, providing valuable insights into their risk factors for falls. The ML-based predictive model developed in this study utilizes these integrated data sources to identify patterns and trends associated with fall occurrences among hospitalized elderly patients. By analysing various variables, including mobility indicators, medication usage, and previous fall history, the model can generate accurate predictions of fall risks for individual patients. This ML-driven approach has the potential to significantly improve patient safety and quality of care by enabling healthcare providers to pre-emptively identify and address fall risks among hospitalized elderly individuals, thereby reducing the reliance on constant personal assistance while ensuring optimal patient outcomes. 2025 by IGI Global Scientific Publishing. -
Empathetic Technology: Integrating Emotional Intelligence Into Assistive Devices for Aging Adults and Individuals With Disabilities
This chapter explores the emerging field of empathetic technology and its application in assistive devices for ageing adults and individuals with disabilities. It examines the integration of emotional intelligence into technological solutions, aiming to address functional needs and emotional and psychological well-being. The chapter delves into the foundations of emotional intelligence in technology, current applications, and future possibilities of empathetic assistive devices. It discusses key design principles, implementation strategies, and the challenges faced in developing these technologies. The text also covers methods for impact assessment and evaluation, with a strong emphasis on user-centred approaches, reassuring the audience about the thoroughness of the research. Mathematical models for quantifying emotional states, device performance, and user well-being are presented. Ethical considerations, including privacy concerns and cultural sensitivities, are addressed. The chapter focuses on the quality of life for ageing adults and individuals with disabilities. 2025 by IGI Global Scientific Publishing. -
Just Another Way to Track? Exploring the Critical Dimensions of Wearable Technologies Usage in Workplace Monitoring
With three main goals in mind, this critical research paper raises concerns about the widespread use of wearable technology for workplace surveillance. The first goal concerns with the examination of the ethical and moral implications of using wearable technology in work environments. Informed permission, privacy concerns, data ownership, and the possibility of discriminatory behaviors must all be carefully examined. For the second goal, the authors delve into the implications constant monitoring affects employees' physical and mental health. Examining the possibility of elevated stress, burnout, and decreased job satisfaction as a result of ongoing observation and performance pressure is part of this. Lastly, the authors of this paper have attempted to develop a Framework for Equitable Wearable Integration (FEWI) that describes how wearable devices can be utilized fairly and efficiently at workplaces in future. The study outlines the detrimental effects of wearable monitoring on workplace culture and employee morale using both empirical data and theoretical models. 2026, IGI Global Scientific Publishing. All rights reserved.