Browsing by Type "Book Chapter"

In contrast to traditional campus settings, information and communication technology (ICT) enabled pedagogy is what is known as online/web based/e-learning primarily relies on a virtual campus where face-to-face interaction does not occur frequently. Digital technology, primarily the internet or a computer, is used as the primary teaching tool in online learning ecosystem. This book chapter in its endeavour critically analyses push, pull, bottleneck and road ahead of online learning in India at the same time provides recommendations to make e-learning effective and efficient. The book chapter discusses need, opportunity, and present status of online learning in India post covid pandemic era. The chapter concludes that e-learning in India has rapidly grown and transformed the education landscape by providing accessible, flexible, and diverse learning opportunities. While it brings many benefits, there are also challenges to overcome, especially in terms of ensuring equitable access and maintaining educational quality. © 2024, IGI Global. All rights reserved.

Through the combination of tool learning patterns, this study offers a novel strategy for personalised treatment for the majority of breast malignancies. The authors used a carefully assembled dataset that included 3444 cases of drug management data, affected person profiles, diagnostic scans, and scientific reviews to train artificial neural networks (ANN), support vector machines (SVM), decision trees (DT), and random forests (RF) for drug sensitivity prediction modelling. While SVM demonstrated its capacity to handle high-dimensional statistics with an accuracy of 96.5%, the artificial neural network (ANN) exhibited remarkable versatility, achieving a commendable accuracy rate of 97.5%. The interpretability inherent in decision trees (DT) and the combined energy of random forests (RF) added crucial elements to the multifaceted methodology. The outcome of the research underscores that the proposed machine learning model stands out with the highest efficacy in predicting the most accurate drug for a given patient. © 2024, IGI Global. All rights reserved.

The trend towards remote and hybrid work patterns in India's IT companies could have beneficial and bad consequences on the industry's survival. This study aims to synthesise the latest management research and case studies and offer practical conclusions, supported by relevant basic science principles. In response to the COVID-19 pandemic, several Indian companies have adopted remote and hybrid work arrangements. This study report seeks to understand the relationship between sustainability performance, new ways of working, workspace consumption patterns, and methods for reducing physical workspace use by individuals and businesses, supported by psychological and environmental evidence. Polls of Indian IT firm managers and executives found that innovative working practices reduce office space, improving sustainability metrics. © 2024, IGI Global. All rights reserved.

A few instances of artificial intelligence (AI) enabled chatbots and robots that are now being utilised by the healthcare industries are chatbots, delivery robots, robot concierges, conveyor healthcare services, and self-service information/check-in/ check-out kiosks. Despite substantial advancements made in the study of social robots, this chapter aims to partially fill the hole left by the dearth of earlier research on the topic of chatbots in the medical sector. The chapter examines the benefits and drawbacks of adopting AI-enabled chatbots by the healthcare industry, which consists of establishments such as hospitals, nursing homes, telemedicine centers, health camps, and other types of healthcare-providing firms. According to the findings of the study, AI-enabled chatbots are adopted is affected by a variety of factors, including the cost of labour and technology, the willingness of patients to have their needs met by a chatbot, the cultural characteristics of both patient and healthcare service providers, the technological characteristics of AI-enabled chatbot solutions, and others. © 2024, IGI Global. All rights reserved.

Additive manufacturing (AM) enables several advantages in the automotive industry including design freedom, lightweighting, and distributed manufacturing. Current applications include rapid prototyping of components, 3D printed tooling like jigs and fixtures, and low-volume end-use parts production. AM enables parts consolidation and topology optimized lightweight structures. Mass customization of interiors is also possible through AM digital inventories and on-demand printing. Metal AM processes are advancing to potentially allow structural component printing pending material property improvements. AM adoption faces challenges around repeatability, speed, and compliance, but continued progress will expand applications. © 2024 by Nova Science Publishers, Inc. All rights reserved.

Artificial Intelligence (AI) and Metaverse are two cutting-edge technologies that are shaping the future of human experience. The convergence of these two fields has the potential to revolutionize how we interact with virtual worlds and could have a significant impact on various industries. In this chapter, we explore the current state of AI and Metaverse technology and delve into the potential future implications of their integration. The beginning of the chapter provides a thorough introduction to both AI and Metaverse technology, discussing their history, current capabilities, and future potential. Later, we discuss the current use of AI within Metaverse applications, such as virtual assistants, chatbots, and automated avatars. We also explore the potential for AI to enhance user experience and immersion within virtual worlds, through applications such as natural language processing, emotion recognition, and personalized content generation. Lastly, exploring the ethical considerations and potential risks associated with the use of AI in Metaverse environments. © 2024 Nova Science Publishers, Inc. All rights reserved.

In this chapter, we probe the incorporation of artificial intelligence (AI) techniques to enhance and optimize additive manufacturing, commonly known as 3D printing. The focus is on how AI contributes to data-driven insights across the entire manufacturing process, spanning from refining designs to anticipating maintenance needs. Specifically, AI plays a pivotal role in generative design methods, automating the generation of intricate product geometries. It aids in material selection by forecasting behaviour and performance. Furthermore, AI scrutinizes process parameters such as temperature and speed, minimizing defects and downtime through predictive analytics. The synergy of AI and additive manufacturing brings about heightened efficiency, sustainability, and adaptability. Nevertheless, harnessing this potential requires overcoming challenges related to data complexity. In essence, this fusion signifies a transformative shift in industrial production, unlocking possibilities for mass customization and swift iterations, particularly in sectors like aerospace and healthcare. The chapter underscores the profound impact of AI on the landscape of additive manufacturing. © 2024 by Nova Science Publishers, Inc. All rights reserved.

The term metaverse has recently attracted much attention and is being widely dis-cussed in various industries around the world, including marketing and events. This research explores future possibilities of the metaverse in the context of the Indian marketing event industry through an ISM analysis. Consequently, the metaverse-an environment that contains interactive digital objects and persons-presents new opportunities for improving the effectiveness of marketing events in terms of interest, accessibility and innovation. Thus, the use of ISM in the context of this research allows to determine the most critical enablers and restraints for the adoption of the metaverse in Indian marketing events. The chapter provides clear tactical implications for using metaverse technologies to enhance traditional formats of events, interact with the audience, and adapt marketing and communication solutions to the Indian market. © 2024, IGI Global. All rights reserved.

The term "industrial revolution" refers to the change from old industrial methods to novel ones that were controlled by the technology of the day. Mechanization, electrical power, and automation drove the initial three industrial revolutions, which progressively converted the agricultural economy into one centered on manufacturing. It contributed to improving the standard of existence for industry employees and the medical sector as a whole. The results indicate a significant rise in manufacturing effectiveness of 1.52%, which can be ascribed to 36.2°C rising temperatures and 44.8% humidity reductions after adoption. A 0.76% rise in quality levels (93.1) for quality management was attributed to a reduction in faults discovered (2). Service procedures worked better, with 2.3 fewer hours of service and 52 mins of downtime. These findings demonstrate the practical benefits of combining IoT and AI in next generation manufacturing, positioning it at the forefront of the transformative environment of Industry 5.0 and enhancing output, excellence, and upkeep. © 2024, IGI Global. All rights reserved.

Open interest in the derivative market is the total number of outstanding or open contracts that have not yet been settled or squared off. It increases when new entrants trade with each other in the future & options (F&O) market and decreases when existing position holders square off their positions. Tracking changes in spot price, open interest, and delivery data can provide insights into operators’ intentions. However, examining cumulative open interest and confirming the analysis with technical charts are important. In future contracts, open interest should be treated as cumulative, whereas in options, it should be counted as an aggregate. The highest open interest on the call side indicates the resistance level, whereas the highest open interest on the put side indicates the support level. A put-call ratio of more than 1.1 is bullish, whereas less than 0.9 is bearish. Checking the build-up of open interest in strike prices can help recognize anomalies or imbalances in underlying assets. Computing the critical price or weighted average price can help decode the buyer or seller in the option chain. An analysis of data for a stock listed in both the cash market and the F&O segment over the last 3 months, along with technical chart analysis, can help traders and investors make informed decisions. However, it is recommended to have a basic understanding of F&O contracts to fully comprehend the concepts and strategies discussed. © 2024 Scrivener Publishing LLC.

Given the current state of affairs, the development of wireless communication has had to go through numerous evolutionary stages. The concept of wireless communication, however, has been around for over a century. Personal communication both ON and OFF the body requires body area networking (BAN). The modules of BAN systems include wearable and textile antennas used in patient monitoring, healthcare devices, firefighting uniforms, and other applications. These have antennas that are worn or carried closer to the body. The third and final issue is the need for a reliable power supply, especially in extreme or remote locations, for medical and communication devices. This investigation seeks to understand the human body’s influence on the various parameters of the biomedical antennas. The 10dB bandwidth in the human body is significantly larger than the corresponding bandwidth in a lossless medium. In a lossy medium, the frequency of a resonance is lower than in a lossless one. Increasing bandwidth is one way to combat the frequency detuning impact produced by human body losses. © 2024 selection and editorial matter, Puran Gour, Nagendra Singh, Rajesh Kumar Nema, Ravi Shankar Mishra and Ashish Kumar Srivastava; individual chapters, the contributors.

Artificial intelligence (AI) is an emerging field in library science, involving the programming of computers to execute tasks that typically require human intelligence. The overarching goal is to create computer systems capable of thinking and acting like humans, which holds profound implications for the field of librarianship. AI has found widespread application within libraries, with examples including expert systems for reference assistance, robots designed to assist with tasks like book sorting, and the integration of virtual reality for immersive learning experiences. While some may fear that AI implementation could distance librarians from their users, the prevailing view suggests that it will instead complement human expertise rather than replace it. By leveraging AI, libraries can enhance their service delivery, streamline operations, and adapt to the evolving demands of a digital society. © 2024, IGI Global. All rights reserved.

In this chapter, a review of Kevlar fabrics laminates applied in shielding armors for ballistic utilizations like bulletproof components is exhibited. It explores combining the outcomes and employing Kevlar fabric laminates as a substitute to complete natural laminate applied for similar utilizations. Kevlar is a synthetic fabric that has attained global interest because of its vast applications in industrial sectors. In recent years, the fabrication of laminates has been performed by scientists, researchers, and engineers worldwide have shifted from generally available glass to Kevlar fabrics. As an outcome, noticeable progress has been produced in Kevlar fabric reinforced laminates for different industrial applications over the recent decade. In-depth information on this fabric and its respective laminate is necessary right now to attain better outcomes. It is mainly applied in consolidation with other components and plays as an efficient laminate. The intensity of this investigation was on current developments in Kevlar fabric reinforced polymer-based composites. This chapter offers insights into the significant research, specifically from aerospace to ballistic applications. © 2022 Nova Science Publishers, Inc. All rights reserved.

Artificial Intelligence is going to be a powerful tool for Industry 4.0 which can be extensively used. During the period of pandemic, technology has played a very important role. AI-based computer vision has emerged as a viable option for earlier, faster, cheaper, and less invasive illness identification, as well as accurate and robust statistical models using medical data acquired in massive quantities by current healthcare systems. Digital Healthcare is a future discipline that uses information and communication technology to improve healthcare quality, safety, accessibility, and productivity. These technologies include hardware as well as software solutions and services. It necessitates more curricula focused on prediction and prevention, as well as modalities of education delivery that train professionals and patients to use the digital healthcare business 4.0. The role of Artificial Intelligence and computer vision is to provide intelligent computer algorithms to manage the health care systems efficiently, so the training required to understand, analyse, and interpret the data present in the various images. The main objective of this chapter is to analyse the different techniques to predict the disease using Artificial Intelligence and Computer Vision. © 2024 by Nova Science Publishers, Inc.

Augmented Reality (AR) integrated with Artificial Intelligence (AI) and Data Engineering forms a dynamic and transformative blend of technologies, revolutionizing the way we perceive and interact with our environment. Augmented Reality, an immersive technology overlaying digital content on the real world, is amplified with AI algorithms, enabling real-time object recognition, natural language processing, and personalized recommendations. Data Engineering facilitates the seamless collection, processing, and integration of vast amounts of data essential for AI-driven AR applications. This integration hasfar-reaching implications across diverse domains, including healthcare, education, gaming, and retail. This encapsulates the profound potential and implications of integrating AR, AI, and Data Engineering, showcasing the innovative possibilities and opportunities that lie at the intersection of these cutting-edge technologies. © 2024 Nova Science Publishers, Inc. All rights reserved.

Kevlar fibre reinforced polymer composites are finding rapid applications in manufacturing concerns ranging from bicycle tyres and racing sails to body armour, bullet-proof vests, military helmets, and walking boots. The mechanism behind the failure and ballistic properties, tribological behaviour of the Kevlar composites and its role in thermal management applications are discussed. The experimental results were correlated with various mechanical tests for various types of Kevlar composites of various reinforcements and are validated through a finite element approach. The reinforcement of Kevlar fibres with various resins enhances the elastic strength and flexural strength in various applications such as aerospace and ballistic applications. The role of multi-walled carbon nanotubes plays a vital role in improving interlaminar and interfacial characteristics of Kevlar polymer-based composites are discussed in depth. © 2022 Nova Science Publishers, Inc. All rights reserved.

In summary, batteries are fundamentally responsible for the energy that fuels everything in our modern world, including electric cars reshaping transportation and our everyday electronics. The complexities of battery chemistry and its essential function in energy storage are examined in this abstract. As the workhorses of modern gadgets, lithium-ion batteries have transformed our digital lives. However, many more developing battery technologies promise improved performance and a more environmentally friendly future; thus, the path of battery technology goes beyond lithium-ion. Several essential elements, including sustainability, conductive bridge electrolytes, safety concerns, energy density, and battery management systems, support the development of batteries. These factors guarantee the environmental impact of batteries in addition to their dependability. Furthermore, improved batteries provide greener and more effective solutions in various commercial and industrial industries. Batteries' performance depends on several interrelated factors, such as cycle life, cost, and power density. These variables are significant for electric cars, as maximizing Economy and usefulness requires striking a balance between weight, range, and charging speed. Exciting developments in battery chemistry, infrastructure construction, and electric car technology are anticipated; a dedication to safety, scalability, and regulatory compliance will accompany these developments. © 2024 Nova Science Publishers, Inc. All rights reserved.

Multifunctional nanomaterials are suitable candidates for various water treatment techniques. High surface area, higher chemical reactivity, and better antimicrobial activity make these materials efficient for water remediation processes. Nowadays, the biogenic synthesis route makes these nanomaterials more environmentally safe. Among the nanomaterials, bioactive nanoparticles (NPs) such as metallic NPs, metal oxide NPs, bio-based nanomaterials, and carbon-based nanomaterials, are found to be more effective in water treatment processes due to their good photocatalytic and antimicrobial properties. In this chapter, various bioactive NPs, their synthesis, their antimicrobial properties, and their mechanisms are discussed. Promises and challenges related to the use of bioactive NPs for water treatment processes have also been outlined. © 2024 WILEY-VCH GmbH, Boschstraße 12, 69469 Weinheim, Germany.

Recently, the attention to utilizing fabric-reinforced laminates has increased because of its possibility of altering the conventional components in different applications. Because of its identifying characteristics like modulus higher strength to weight proportion, Kevlar fabric has attained very commonly as reinforcement in laminate, and their utilization has developed considerably. Furthermore, an accurate characterization is essential for improving its characteristics in different utilizations. Many investigations have been performed to determine Kevlar fabric and their respective laminates in the upcoming years. This chapter presents an overview of the different types of characterization techniques. © 2022 Nova Science Publishers, Inc. All rights reserved.

Transforming towards a low-carbon, climate-resilient society will require reimagining existing governance arrangements. This chapter documents how India's policies, institutions, and legal structures have changed in response to climate change. These developments have been opportunistic in character, with policy changes preceding institutional development. Policies are many and widespread, therefore, but lack strategic coherence. A more deliberate approach would bring with it enhanced governance requirements, including new structures for coordination, deliberation, and strategy-setting. This chapter pays attention to the prospects for climate law in India in this context, discussing different approaches to constructing firmer legal foundations for climate action. Transforming towards a low-carbon, climate-resilient society will require reimagining existing governance arrangements. This chapter documents how India's policies, institutions, and legal structures have changed in response to climate change. These developments have been opportunistic in character, with policy changes preceding institutional development. Policies are many and widespread, therefore, but lack strategic coherence. A more deliberate approach would bring with it enhanced governance requirements, including new structures for coordination, deliberation, and strategy-setting. This chapter pays attention to the prospects for climate law in India in this context, discussing different approaches to constructing firmer legal foundations for climate action. © Oxford University Press 2024. All rights reserved.