Browsing by Type "Book"

Embark on a comprehensive exploration of additive manufacturing technologies with this informative text. Commencing with a thorough foundational overview, the book systematically introduces readers to the intricacies of additive manufacturing processes. Beyond rudimentary concepts, it delves into the meticulous construction of fundamental machines, providing readers with a nuanced comprehension of the machinery underpinning this innovative field. An engaging aspect of the book is its in-depth examination of the role played by Artificial Intelligence (AI) in optimizing additive manufacturing processes. Offering profound insights, the text elucidates how AI applications fundamentally transform the manufacturing landscape, enhance operational efficiency, and extend the boundaries of what is achievable in contemporary manufacturing. The scope of the book extends beyond technical details to encompass the realm of innovative product development. Readers are invited to explore the convergence of design theories, customer-centric approaches, and sustainable practices, discerning these elements' pivotal role in shaping the manufacturing trajectory. A substantial focus is directed towards the strategic integration of reverse engineering and additive manufacturing. This section furnishes strategic insights into sustainable lifecycle management, providing readers with a strategic framework for navigating the future of these technologies. For those interested in advanced manufacturing techniques, the book thoroughly covers modeling, various production methods, and the intricacies of digital data processing. This comprehensive examination equips readers with a profound understanding of the latest advancements, preparing them to navigate the intricate landscape of modern manufacturing. This textbook stands as an invaluable resource for a student embarking on an exploration of additive manufacturing, a researcher seeking to deepen their knowledge base, or a professional in the field. It offers a holistic and detailed perspective on additive manufacturing technologies, providing a robust foundation for theoretical comprehension and practical application. Join the journey through the dynamic additive manufacturing landscape with this insightful and educational book. © 2024 by Nova Science Publishers, Inc. All rights reserved.

Agon narrates the battle for truth-telling authority between poetry and mathematics in the modernist period (between the 1920s and 1960s). Analysing its subversive uses of mathematical metaphors, this book argues that modernism posed the last serious challenge to the Empire of Mathematics, whose authority to determine for all the nature of reality had steadily grown from Newton to Einstein. The book’s protagonists are William Empson, Laura Riding, Charles Olson, W.B. Yeats, and Michael Roberts, though many others will play smaller roles in the contest. Agon introduces a new paradigm of criticism to interdisciplinary studies in the humanities. It casts the different faculties as not co-existing peacefully but rather as engaged in a perpetual struggle for supremacy. The book traces the rise of mathematics, supplanting philosophy, poetry, and the other arts, as the language in which reality would be described from the seventeenth century onwards, looking at the role of calculus, quaternions, Riemannian manifolds, non-Euclidean geometry, analysis, mathematical logic, and more. The book performs close readings of mathematical poems that bring to the fore a lack in the mathematical picture of reality. The poems will in turn prosecute a reflexive argument about poetry’s role in filling those gaps and presenting a richer version of reality. Rather than posing poetry as passive receptacle of mathematical ideas, as the influence-tracing method in literary criticism demands, the agon allows for an intense contestation of poetic and mathematical modes and their claims to truth through careful attention to the playfulness and subversiveness animating cross-disciplinary interaction. © Anirudh Sridhar 2025.

Agricultural Sustainability through Nanotechnology focuses on the innovative intersection of agriculture and nanotechnology, offering a comprehensive exploration of how nanotechnological applications are revolutionizing sustainable farming practices. This book is a pioneering work that not only elucidates the immense potential of nanotechnology in agriculture but also provides practical insights into its implementation for enhanced sustainability. With a focus on addressing pressing agricultural challenges, this book sets itself apart by bridging the gap between cutting-edge nanotechnology research and its real-world applications in sustainable agriculture for better productivity. Readers will discover a wealth of knowledge on how nanotechnology can optimize crop production, mitigate environmental impacts, and improve resource efficiency in farming practices. This book is essential reading for researchers, academics, and professionals in the fields of agriculture, nanotechnology, and environmental science. It serves as a valuable resource for readers seeking to understand and harness the momentum of nanotechnology for sustainable agricultural practices. © 2025 selection and editorial matter, Mary Theresa, Ashitha Jose, Jyotishkumar Parameswaranpillai, Radhakrishnan E K; individual chapters, the contributors.

This conference is to provide a platform for researchers with inclusiveness for all those who are associated with education and research in the fields of Mathematics, Statistics, and Data Science. This conference will develop professionalism among the students, and new concepts will be shared with the participants and delegates, which will enrich the departments and the participants. This conference promotes the original research of scholars in relevant fields, to discuss new approaches and techniques of applied mathematics for data science. This gives educationists, academics, technocrats, and other stakeholders a chance to help meet the needs of education.

Academic disciplines have exercised a dominant influence in the way we perceive, reflect, and seek to understand reality. The methods of enquiry, until the recent times, have been influenced by respective disciplines. However, recent developments in the academic discourse are not on disciplinary silos but on breaking down the rigid boundaries between disciplines and bringing in more fluidity and permeability. The current conference on “Transcending Boundaries” takes up the challenge of transcending disciplinary boundaries at the contemporary juncture and creating new knowledge, which stands at an alchemical meeting point of several disciplines. We invite young researchers from all disciplines, who can think innovatively. Alliance University Bangalore, India is playing host to this gathering of thoughts and innovative ideas yet again with modern technology to distil best thoughts of the most brilliant minds. This two-day event aims to engage, stimulate, and provoke discussions on different issues touching upon humanity and planet earth in general and the challenges that we might face in the coming decades. Visit Alliance, be part of the conference, share your thoughts, be heard, etch your footprints on the sands of time and be part of history.

This book is essential for any leader seeking to understand how to leverage intelligent automation and predictive maintenance to drive innovation, enhance productivity, and minimize downtime in their manufacturing processes. Intelligent automation is widely considered to have the greatest potential for Industry 4.0 innovations for corporations. Industrial machinery is increasingly being upgraded to intelligent machines that can perceive, act, evolve, and interact in an industrial environment. The innovative technologies featured in this machinery include the Internet of Things, cyber-physical systems, and artificial intelligence. Artificial intelligence enables computer systems to learn from experience, adapt to new input data, and perform intelligent tasks. The significance of AI is not found in its computational models, but in how humans can use them. Consistently observing equipment to keep it from malfunctioning is the procedure of predictive maintenance. Predictive maintenance includes a periodic maintenance schedule and anticipates equipment failure rather than responding to equipment problems. Currently, the industry is struggling to adopt a viable and trustworthy predictive maintenance plan for machinery. The goal of predictive maintenance is to reduce the amount of unanticipated downtime that a machine experiences due to a failure in a highly automated manufacturing line. In recent years, manufacturing across the globe has increasingly embraced the Industry 4.0 concept. Greater solutions than those offered by conventional maintenance are promised by machine learning, revealing precisely how AI and machine learning-based models are growing more prevalent in numerous industries for intelligent performance and greater productivity. This book emphasizes technological developments that could have great influence on an industrial revolution and introduces the fundamental technologies responsible for directing the development of innovative firms. Decision-making requires a vast intake of data and customization in the manufacturing process, which managers and machines both deal with on a regular basis. One of the biggest issues in this field is the capacity to foresee when maintenance of assets is necessary. Leaders in the sector will have to make careful decisions about how, when, and where to employ these technologies. Artificial Intelligence and Machine Learning for Industry 4.0offers contemporary technological advancements in AI and machine learning from an Industry 4.0 perspective, looking at their prospects, obstacles, and potential applications. © 2025 Scrivener Publishing LLC.

Intelligent systems are technologically advanced machines that perceive and respond to the world around them. Artificial Intelligence and Machine Learning for Smart Community: Concepts and Applications presents the evolution, challenges, and limitations of the application of machine learning and artificial intelligence to intelligent systems and smart communities. • Covers the core and fundamental aspects of artificial intelligence, machine learning, and computational algorithms in smart intelligent systems • Discusses the integration of artificial intelligence with machine learning using mathematical modeling • Elaborates concepts like supervised and unsupervised learning, and machine learning algorithms, such as linear regression, logistic regression, random forest, and performance evaluation matrices • Introduces modern algorithms such as convolutional neural networks and support vector machines • Presents case studies on smart healthcare, smart traffic management, smart buildings, autonomous vehicles, smart education, modern community, and smart machines Artificial Intelligence and Machine Learning for Smart Community: Concepts and Applications is primarily written for graduate students and academic researchers working in the fields of computer science and engineering, electrical engineering, and information technology. Seasonal Blurb: This reference text presents the most recent and advanced research on the application of artificial intelligence and machine learning on intelligent systems. It will discuss important topics such as business intelligence, reinforcement learning, supervised learning, and unsupervised learning in a comprehensive manner. © 2024 selection and editorial matter, T. V. Ramana, G. S. Pradeep Ghantasala, R. Sathiyaraj, Mudassir Khan individual chapters, the contributors.

Two cutting-edge technologies that are completely changing the way humans interact with digital surroundings are artificial intelligence (AI) and the metaverse. Data engineering-driven AI is a major factor in determining how the metaverse experience is structured. To train AI models, data engineering entails gathering, processing, and evaluating enormous volumes of data. By providing a variety of datasets to AI algorithms, data engineering contributes to the creation of realistic virtual environments within the metaverse. This makes it possible for AI to create realistic settings, people, and interactions in the metaverse. Artificial intelligence (AI) can create individualized and immersive experiences in the metaverse by using data engineering to comprehend human behavior, preferences, and interactions. AI improves the realism and interactivity of the metaverse by continuously learning from data, giving the impression that it is a more organic extension of the real world. In conclusion, this book will highlight the intersection of data engineering, AI, and the metaverse fostering innovation in virtual experiences by obfuscating the distinctions between the real world and the virtual. The potential for developing dynamic, captivating, and customized virtual worlds that meet users' various requirements and interests is enormous with this partnership. © 2024 by Nova Science Publishers, Inc. All rights reserved.

Biocomposites for Industrial Applications: Construction, Biomedical, Transportation and Food Packaging reviews the properties and performance of these materials, with a focus on their intended applications. Sections cover their properties and performance, including processing conditions, structure and property relations. For biomedical applications, researchers need a broad understanding of conceptual design, physico-chemical properties, and cytotoxicity (orthopedic implants). As the usage of biocomposites has increased significantly over recent years, mainly due to the advantages these materials have when compared to synthetic composites, such as (i) renewability (ii) eco-friendly components, (iii) biodegradable aspects, and (iv) non-toxicity, this book provides a great update on the technology. These advantages will help to attract wider use in more lightweight-based applications such as (i) construction and building (ii) biomedical (iii) transportation (automotive, marine, and aerospace), and (iv) in food packaging. © 2024 Elsevier Ltd. All rights reserved.

Blockchain and the Water Supply Chain explores the transformative potential of blockchain technology in ensuring sustainable, transparent and efficient water governance. Placing water at the center of smart infrastructure innovation, the book addresses the urgent need for trustworthy and traceable systems in the distribution and management of water resources. This book also delves into how blockchain can revolutionize the water supply chain through decentralized monitoring, smart contracts and immutable data records to reduce losses, enhance accountability and enable real-time decision making. It analyzes key challenges such as interoperability, scalability and regulatory hurdles, while also showcasing innovative use cases and pilot projects across the globe. With contributions from experts in water management, blockchain and environmental policy, this book bridges the gap between digital innovation and sustainable resource management, and is an essential guide for researchers, policymakers and technologists aiming to reshape the future of water systems. © ISTE Ltd 2025. All rights reserved.

In today's rapidly evolving technological landscape, staying competitive in the field of software development requires a deep understanding of fundamental programming concepts and the ability to solve complex problems efficiently. This book aims to be your comprehensive guide to acing technical interviews in C, C++, data structures, and database management systems (DBMS). The journey to becoming a proficient software engineer is often paved with rigorous technical interviews that test your knowledge, problem-solving abilities, and coding skills. This book compiles a wide range of interview questions and answers, providing you with the insights and practice needed to excel in any technical interview. Each chapter includes a series of questions that range from basic to advanced levels. The questions are designed to test various aspects of your knowledge and problem-solving skills. Detailed solutions and explanations are provided to help you understand the reasoning behind each answer. © 2024 BPB Publications, India.

This book delves into cutting-edge research in cyberspace and outer space security, encompassing both theoretical and experimental aspects. It provides mitigation measures and strategies to address the identified challenges within. It covers a spectrum of topics including techniques and strategies for enhancing cyberspace security, combating ransomware attacks, and securing autonomous vehicles. Additionally, it explores security and surveillance systems involving autonomous vehicles, resilience schemes against security attacks using blockchain for autonomous vehicles, security analysis of autonomous drones (UAVs), the cybersecurity kill chain, the internet of drones (IoD), and cyberspace solutions to counteract attacks. The discussion extends to mitigation strategies against weaponized AI in cyber-attacks, countermeasures for both autonomous vehicles and cyberspace attacks, as well as the limitations and future prospects of artificial intelligence (AI) and data defense in aerospace cybersecurity. A network comprising nodes can establish both cyberspace and outer space platforms for data exchange. Cyberspace finds diverse applications, including commercial endeavors and military defense. The integration of autonomous vehicles, unmanned aircraft systems (UAS), and drones into outer space environments is facilitated through their connection to cyberspace. One illustrative example involves the utilization of blockchain-based secure drone systems for product delivery, leveraging the combined capabilities of cyberspace and outer space security technologies. This book elucidates the intricate dynamics between cyber operations and the expanding realm of autonomous outer cyberspace, presenting new security challenges arising from heightened complexity and emerging vulnerabilities. © 2024 River Publishers. All rights reserved.

Elastomer Blends and Composites: Principles, Characterization, Advances, and Applications presents the latest developments in natural rubber and synthetic rubber-based blends and nanocomposites, with a focus on current trends, future directions and state-of-the-art applications. The book introduces the fundamentals of natural rubber and synthetic rubbers, outlining synthesis, structure, properties, challenges and potential applications. This is followed by detailed coverage of compounding and formulations, manufacturing methods, and preparation of elastomer-based blends, composites, and nanocomposites. The next section of the book focuses on properties and characterization, examining elasticity, spectroscopy, barrier properties, and rheological, morphological, mechanical, thermal, and viscoelastic behavior, and more. This is a highly valuable resource for researchers and advanced students in rubber (or elastomer) science, polymer blends, composites, polymer science, and materials science and engineering, as well as engineers, technologists, and scientists working with rubber-based materials for advanced applications. © 2022 Elsevier Inc. All rights reserved.

This book explores critical technologies advancing electric vehicles' design, efficiency, and infrastructure. Across five chapters, the book examines crucial topics underpinning the ongoing EV revolution. The first chapter provides an extensive look at the development of electric vehicle infrastructure worldwide. It details various initiatives, policies, and progress across regions in establishing networks of EV charging stations. Discussion ranges from factors driving infrastructure rollout to optimal planning methodologies and equipment standards. Moving to vehicle systems, chapter two delves into hybrid electric vehicles (HEVs). It provides a comprehensive background on HEV configurations, working principles, control strategies, and design optimizations. The transformational potential of HEVs for sustainable transportation is also analyzed in depth. Regenerative braking forms the focus of chapter three. The technical discussion encompasses the design, control systems, energy recovery efficiency, battery wear impacts, and performance benefits of regen braking in EV and HEV contexts. Comparative analysis is provided on different motor-based approaches. The pivotal role of civil engineering in enabling EV adoption forms the basis of the fourth chapter. Key integration opportunities are elucidated, from smart power grids to road construction suited for EVs. Civil engineers' knowledge base and skillsets toward advancing charging infrastructure is also covered. Finally, chapter five outlines battery management system technology for EVs. Guiding optimal battery usage, this system component plays an indispensable role in performance, efficiency, and safety. Parameter monitoring, charging control, cell balancing, and thermal management are aspects examined. Comprehensively addressing multiple technologies essential to the EV landscape, this book will benefit engineering professionals, researchers, and policymakers working to usher in sustainable electric transportation. © 2024 by Nova Science Publishers, Inc. All rights reserved.

One of the most serious diseases for both adults and children is a brain tumor. Through the scans, a substantial amount of image data is produced. The radiologist reviews these images to detect the abnormality. Due to the complexity of brain tumors and their features, a manual examination may be mistakeprone. To visualize the brain and spot any abnormal growths, many imaging techniques are used. Magnetic resonance imaging (MRI) is the method that works best to identify brain tumors. Predicting brain tumors from MRI images also contributes to medical research and the development of more sophisticated predictive models. This continuous improvement in technology can lead to better diagnostic tools and more effective treatment options for brain tumor patients. The existing models exhibit significant shortcomings concerning explanation, interpretability, computational complexity, and accuracy. In order to overcome the drawbacks available in the existing techniques, this research work proposes the Enhanced VGG19 model by improving the convolutional neural network layers, fully connected layers, and weights of the layers and applying effective preprocessing techniques to the datasets to predict brain tumors from MRI images with high accuracy and less computation time. The proposed model produced an accuracy of 99.72% and performed better than the existing techniques. © 2023 IEEE.

Finite Element Analysis of Polymers and its Composites offers up-to-date and significant findings on the finite element analysis of polymers and its composite materials. It is important to point out that to date there are no books that have been published on this concept. Thus, academicians, researchers, scientists, engineers, and students in the similar field will benefit from this highly applications-oriented book that summarizes the experimental, mathematical, and numerical analysis of polymers and composite materials through the finite element method. The book provides detailed and comprehensive information on mechanical properties, fatigue and creep behavior, thermal behavior, vibrational analysis, testing methods, and their modeling techniques. In addition, the book lists the main industrial sectors in which polymers and composite materials simulation is used, and their gains from it, including aeronautics, medical, aerospace, automotive, naval, energy, civil, sports, manufacturing, and even electronics. Key Features Expands knowledge about the finite element analysis of polymers and composite materials to broaden application range Presents an extensive survey of recent developments in research Offers advancements of finite element analysis of polymers and composite materials Written by leading experts in the field Provides cutting-edge, up-to-date research on the characterization, analysis, and modeling of polymeric composite materials. © 2024 Elsevier Ltd. All rights are reserved including those for text and data mining AI training and similar technologies.

Aquaporins (AQPs) are small integral membrane proteins that facilitate the efficient transport of small solutes like water, metalloids, urea, and CO2 across the membrane. Plant aquaporins are known to be involved in vital physiological processes like seed germination, stomatal movement, cell elongation, and reproductive growth. In the present study, 36 AQPs were identified through genome-wide computational analysis performed in the rose genome. Subsequent phylogenetic analysis classified the AQPs into five subfamilies, including 10 Plasma membrane intrinsic proteins (PIPs), 8 Tonoplast intrinsic proteins (TIPs), 9 Nodulin intrinsic proteins (NIPs), 3 Small intrinsic proteins (SIPs), and 6 uncharacterised intrinsic proteins (XIPs). Based on the prediction of silicon solute specificity, one of the NIPs is predicted to be a silicon transporter. Structural analysis revealed the characteristic six trans-membrane domains and two-half alpha helix harbouring two conserved NPA motifs in the majority of the predicted AQPs. The protein tertiary structures predicted with homology-based modelling were used to study the pore lining remains and to predict the solute transport activity of the AQPs. Expression profiling of the rose AQPs showed tissue-specific expression of many members. The data provided here will help in understanding the AQP-based solute transport system in roses and other related species.

Healthcare and medical services have seen rapid development in various areas of the world, including Asia and Eastern Europe. These territories are now becoming a medical hub for many surrounding countries. Medical tourism is the practice of traveling to international regions for treatment that isn't available locally. This subject has gained significant attention throughout the tourism industry, as researchers and professionals are searching for specific advancements of medical care and hospital development in numerous countries. Growth of the Medical Tourism Industry and Its Impact on Society: Emerging Research and Opportunities is a collection of innovative research on the methods and advancement of medical travel for treatment in various global regions and provides insights for the growth prospects of the medical tourism business. While highlighting topics including destination branding, community impact, and hospital management, this book is ideally designed for medical executives, hospital directors, researchers, policymakers, academicians, practitioners, scholars, and students seeking current research on tourism practices within the medical field. © 2021 by IGI Global. All rights reserved.

This handbook presents the current state-of-knowledge in the area of epoxy fiber composites. The book emphasizes new challenges and covers synthesis, characterization, and applications of epoxy/fiber composites. Leading researchers from industry, academy, government and private research institutions across the globe have contributed to this book. The contents comprehensively cover the current status, trends, future directions, and application opportunities in the field. This highly application-oriented handbook will be of use to researchers and professionals alike. © Springer Nature Singapore Pte Ltd. 2022.

The rapid growth of IoT and its applications in smart cities have brought about significant challenges for academic scholars. The increasing number of interconnected devices and the massive amounts of data they generate strain traditional networks, leading to inefficiencies and security vulnerabilities. Additionally, the centralized control plane in Software Defined Networks (SDN) poses a single point of failure, hindering network performance. Moreover, IoT devices themselves are susceptible to attacks, compromising user data and privacy. Scholars in the field urgently need a comprehensive solution to address these pressing issues. © 2023 by IGI Global. All rights reserved.