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Advancement of Intelligent Computational Methods and Technologies
by O. P. Verma Thinagaran Perumal Seema VermaThe compiled volume originates from the notable contributions presented at the 1st International Conference on Advancementof Intelligent Computational Methods and Technologies (AICMT2023), which took place in a hybrid format on June 27, 2023,at Delhi Technical Campus, Greater Noida, Uttar Pradesh, India. This comprehensive collection serves as an exploration intothe dynamic domain of intelligent computational methods and technologies, offering insights into the latest and upcoming trends in computation methods.AICMT2023’s scope encompasses the evolutionary trajectory of computational methods, addressing pertinent issues in real time implementation, delving into the emergence of new intelligent technologies, exploring next-generation problem-solving methodologies, and other interconnected areas. The conference is strategically designed to spotlight current research trendswithin the field, fostering a vibrant research culture and contributing to the collective knowledge base.
Advancement of Machine Intelligence in Interactive Medical Image Analysis (Algorithms for Intelligent Systems)
by Mamta Mittal Om Prakash Verma Sudipta Roy Subhash Chandra PandeyThe book discusses major technical advances and research findings in the field of machine intelligence in medical image analysis. It examines the latest technologies and that have been implemented in clinical practice, such as computational intelligence in computer-aided diagnosis, biological image analysis, and computer-aided surgery and therapy. This book provides insights into the basic science involved in processing, analysing, and utilising all aspects of advanced computational intelligence in medical decision-making based on medical imaging.
Advancement of Science and Technology: AI, Machine Learning, Electrical Engineering, and Computing Technologies (EAI/Springer Innovations in Communication and Computing)
by Mekuanint A. Bitew Abeba Birhane Fekadu Shewarega Mekonnen Wagaw Ahunim Abebe AsheteheThis proceeding presents the papers from the 11th International Conference on Advancement of Science and Technology (ICAST 2023), which took place in Bahir Dar, Ethiopia, in November 2023. The papers present economic and technologic developments in modern societies related to important issues such digitization, energy transformation, impact on national economy, and its recent advancements. The papers are relevant to researchers, academics, and professionals.
Advancement of Shock Capturing Computational Fluid Dynamics Methods: Numerical Flux Functions in Finite Volume Method
by Keiichi KitamuraThis book offers a compact primer on advanced numerical flux functions in computational fluid dynamics (CFD). It comprehensively introduces readers to methods used at the forefront of compressible flow simulation research. Further, it provides a comparative evaluation of the methods discussed, helping readers select the best numerical flux function for their specific needs.The first two chapters of the book reviews finite volume methods and numerical functions, before discussing issues commonly encountered in connection with each. The third and fourth chapter, respectively, address numerical flux functions for ideal gases and more complex fluid flow cases— multiphase flows, supercritical fluids and magnetohydrodynamics. In closing, the book highlights methods that provide high levels of accuracy.The concise content provides an overview of recent advances in CFD methods for shockwaves. Further, it presents the author’s insights into the advantages and disadvantages of each method, helping readers implement the numerical methods in their own research.
Advancements in AI and IoT for Chip Manufacturing and Defect Prevention (River Publishers Rapids Series on Intelligence in Chips)
by Rupal JainThis is essential reading for semiconductor professionals seeking to expand their knowledge on silicon processes, understand the significance of defect prevention, and explore methods for optimizing processes by reducing defects using AI and IoT technologies.In the dynamic landscape of semiconductor manufacturing, the focus on processes and defect prevention stands paramount. Traditional approaches have yielded valuable insights, yet the emergence of Artificial Intelligence (AI) and Internet of Things (IoT) technologies heralds a new era in defect prevention strategies. Engineers specializing in AI and machine learning, interdisciplinary researchers, and early graduates aspiring to enter the semiconductor industry will also find this book invaluable.Meticulously crafted, this book provides concise, yet insightful content tailored to today's fast-paced readers. It emphasizes semiconductors, manufacturing processes, and defect prevention, offering a comprehensive understanding of these critical areas. The integration of AI and IoT in chip manufacturing defect prevention represents a groundbreaking advancement.Targeting semiconductor engineers, researchers, technology professionals, and students, this book serves as a valuable resource for understanding the interplay between semiconductors, manufacturing processes, defects, and the transformative potential of AI and IoT integration. Practical tools for failure analysis and parameter control are provided, along with hypothetical use cases and theoretical applications that inspire innovation. Through interdisciplinary insights, this book charts a course toward a future where semiconductor manufacturing defects are minimized, productivity is maximized, and innovation thrives at the intersection of technology and industry.
Advancements in Cyber Crime Investigations and Modern Data Analytics
by Shishir Kumar Shandilya V. B. Gupta Devangana SujayThis book presents a fresh perspective on combating cyber crime, showcasing innovative solutions from experts across various fields. With the integration of artificial intelligence (AI), contemporary challenges are addressed with state-of-the-art strategies. The book discusses a wide range of timely issues within the domain of cyber crime and investigation, emphasizing AI-driven solutions and future multidisciplinary perspectives. As data becomes central to all digital interactions, it also becomes increasingly vulnerable, making it a prime target for adversaries. This comprehensive volume compiles technical approaches to counter, investigate, and manage these complex avenues of misconduct under the umbrella of "Cyber Crime".Key Topics: LLMs as a Solution for SARs Triaging Technical Capacities to Counter CSAM A Journey of Mobile Forensic Investigation Digital Forensics Solving Financial Crimes Deepfake-Driven Financial Crimes and Countermeasures This book offers a thorough examination of the current landscape of cyber crime, the capabilities available to combat it, and the advanced measures required to stay ahead. A detailed roadmap of digital forensics, the science of decrypting cyber crime, is a key highlight, alongside an exploration of the rising capabilities of AI. We extend our gratitude to all the contributors and hope this book answers many questions while igniting curiosity and providing a stimulating intellectual experience.
Advancements in Cybersecurity: Next-Generation Systems and Applications
by Agbotiname Lucky Imoize Oleksandr Kuznetsov Oleksandr Lemeshko Oleksandra YeremenkoThis book offers a comprehensive exploration of cutting-edge research and developments in the field of cybersecurity. It presents a curated collection of chapters that reflect the latest in empirical data approximation, malware recognition, information security technologies, and beyond.Advancements in Cybersecurity: Next-Generation Systems and Applications offers readers a broad perspective on the multifaceted challenges and solutions in contemporary cybersecurity through topics ranging from the application of blockchain technology in securing information systems, to the development of new cost functions for the iterative generation of cryptographic components. The book not only addresses technical aspects but also provides insights into the theoretical frameworks and practical applications that underpin the development of robust cybersecurity systems. It explores the optimization of algorithms for generating nonlinear substitutions, the application of machine learning models for security evaluation, and the implementation of deep learning techniques for detecting sophisticated cyber-attacks. Through its in-depth analysis and forward-looking perspectives, this book contributes significantly to advancing cybersecurity research and practice, paving the way for a safer digital future.This book is designed to serve as an essential resource for researchers, practitioners, policymakers, and engineers in the fields of ICT, next-generation computing and IT security, including cryptography, AI/ML/DL, cyber resilience, network security, threat modeling and risk assessment, digital forensics, secure software development, hardware security, and human-centric security.
Advancements in Interdisciplinary Research: First International Conference, AIR 2022, Prayagraj, India, May 6–7, 2022, Revised Selected Papers (Communications in Computer and Information Science #1738)
by Vijayan Sugumaran Divya Upadhyay Shanu SharmaThis volume constitutes selected and revised papers presented at the First International Conference on Advancements in Interdisciplinary Research, AIR 2022, held in Allahabad, India, in May 2022. The 49 papers were thoroughly reviewed and selected from the 252 submissions. They are organized in topical sections on novel technologies enabled secured privacy models and optimized networking infrastructures toward secure industries; developments towards sustainable healthcare sector; machine learning and deep learning enabled applications in different sectors; robotics and computer vision for intelligent automation in industries; trending technologies: frameworks and applications focusing real life issues.
Advancements in Knowledge Distillation: Towards New Horizons of Intelligent Systems (Studies in Computational Intelligence #1100)
by Witold Pedrycz Shyi-Ming ChenThe book provides a timely coverage of the paradigm of knowledge distillation—an efficient way of model compression. Knowledge distillation is positioned in a general setting of transfer learning, which effectively learns a lightweight student model from a large teacher model. The book covers a variety of training schemes, teacher–student architectures, and distillation algorithms. The book covers a wealth of topics including recent developments in vision and language learning, relational architectures, multi-task learning, and representative applications to image processing, computer vision, edge intelligence, and autonomous systems. The book is of relevance to a broad audience including researchers and practitioners active in the area of machine learning and pursuing fundamental and applied research in the area of advanced learning paradigms.
Advancements in Machine Learning and Natural Language Processing: 3rd International Conference on Language Processing and Knowledge Management (LPKM’2024) (Lecture Notes in Networks and Systems #1303)
by Khaled Shaalan Lamia Hadrich BelguithThis book discovers groundbreaking advancements in artificial intelligence with innovative solutions for real-world challenges. This book showcases state-of-the-art methodologies like deep learning and transfer learning to tackle sentiment analysis, fake news detection, and multi-dialectal named entity recognition, with a special focus on Arabic language technologies. Bridging the gap between research and practice, it highlights topics such as knowledge extraction, AI ethics, and the societal impacts of big data. Targeted at researchers, educators, and professionals, it serves as a vital guide for beginners and a comprehensive reference for experts seeking to stay ahead in the rapidly evolving field of AI.
Advancements in Mechatronics and Intelligent Robotics: Proceedings of ICMIR 2020 (Advances in Intelligent Systems and Computing #1220)
by John Wang Srikanta Patnaik Nilanjan Dey Zhengtao YuThis book gathers selected papers presented at the Fourth International Conference on Mechatronics and Intelligent Robotics (ICMIR 2020), held in Kunming, China, on May 22–24, 2020. The proceedings cover new findings in the following areas of research: mechatronics, intelligent mechatronics, robotics and biomimetics; novel and unconventional mechatronic systems; modeling and control of mechatronic systems; elements, structures and mechanisms of micro- and nano-systems; sensors, wireless sensor networks and multi-sensor data fusion; biomedical and rehabilitation engineering, prosthetics and artificial organs; artificial intelligence (AI), neural networks and fuzzy logic in mechatronics and robotics; industrial automation, process control and networked control systems; telerobotics and human–computer interaction; human–robot interaction; robotics and artificial intelligence; bio-inspired robotics; control algorithms and control systems; design theories and principles; evolutional robotics; field robotics; force sensors, accelerometers and other measuring devices; healthcare robotics; kinematics and dynamics analysis; manufacturing robotics; mathematical and computational methodologies in robotics; medical robotics; parallel robots and manipulators; robotic cognition and emotion; robotic perception and decisions; sensor integration, fusion and perception; and social robotics.
Advancements in Optical Methods & Digital Image Correlation in Experimental Mechanics, Volume 3: Proceedings of the 2019 Annual Conference on Experimental and Applied Mechanics (Conference Proceedings of the Society for Experimental Mechanics Series)
by Cosme Furlong Cesar Sciammarella Michael Sutton Horacio D. Espinosa Luciano Lamberti Ming-Tzer Lin Phillip Reu Chi-Hung HwangAdvancement of Optical Methods & Digital Image Correlation in Experimental Mechanics, Volume 3 of the Proceedings of the 2019 SEM Annual Conference & Exposition on Experimental and Applied Mechanics, the third volume of six from the Conference, brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on a wide range of optical methods ranging from traditional photoelasticity and interferometry to more recent DIC and DVC techniques, and includes papers in the following general technical research areas: DIC Methods & Its ApplicationsPhotoelsticity and Interferometry ApplicationsMicro-Optics and Microscopic SystemsMultiscale and New Developments in Optical MethodsDIC and its Applications for Inverse Problems
Advancements in Optimization and Nature-Inspired Computing for Solutions in Contemporary Engineering Challenges (Springer Tracts in Nature-Inspired Computing)
by Diego Rossit Carlos Enrique Torres-Aguilar Adrián Andrés ToncovichThis book brings together cutting-edge research, methodologies, and applications in the field of optimization and nature-inspired computing, providing a comprehensive overview of the latest advancements and their applications in addressing contemporary challenges in engineering. The book demonstrates diverse applications of mathematical modeling in various aspects of production, logistic, design, energy, materials, and other engineering areas. The book includes topics in optimization algorithms nature-inspired computing multi-objective optimization hybrid optimization techniques evolutionary algorithms swarm intelligence machine learning for optimization applications of optimization in engineering sustainable engineering solutions big data analytics for optimization metaheuristic approaches cloud computing in optimization cyber-physical systems decision support systems emerging trends in optimization.
Advancements in Science and Technology for Healthcare, Agriculture, and Environmental Sustainability: A Review of the Latest Research and Innovations
by Sai Kiran Oruganti Dimitrios A. Karras Srinesh ThakurThis book is the collection of selected articles that appeared at the First International Analytics Conference 2023 held in Hyderabad in virtual mode on February 2nd the 3rd 2023. This informative volume offers a window into recent breakthroughs shaping healthcare, agriculture, and environmental sustainability. It showcases the cutting-edge developments in these essential fields. Explore the progress in healthcare, from personalized medicine to telemedicine and innovative treatments, demonstrating how technology is enhancing patient care and transforming global health. Dive into the agricultural sector, where precision farming, genetic engineering, and sustainable practices are revolutionizing food production. Science and innovation play a key role in building a more resilient and food-secure future.
Advancements in Smart Computing and Information Security: First International Conference, ASCIS 2022, Rajkot, India, November 24–26, 2022, Revised Selected Papers, Part I (Communications in Computer and Information Science #1759)
by Parvez Faruki Sridaran Rajagopal Kalpesh PopatThis two-volume constitutes the refereed proceedings of the First International Conference on Advancements in Smart Computing and Information Security, ASCIS 2022, held in Rajkot, India, in November 2022. The 37 full papers and 18 short papers presented were thoroughly reviewed and selected from the 206 submissions. The papers are organized in topical sections on artificial intelligence; smart computing; cyber security; industry.
Advancements in Smart Computing and Information Security: First International Conference, ASCIS 2022, Rajkot, India, November 24–26, 2022, Revised Selected Papers, Part II (Communications in Computer and Information Science #1760)
by Parvez Faruki Sridaran Rajagopal Kalpesh PopatThis two-volume constitutes the refereed proceedings of the First International Conference on Advancements in Smart Computing and Information Security, ASCIS 2022, held in Rajkot, India, in November 2022. The 37 full papers and 19 short papers presented were thoroughly reviewed and selected from the 206 submissions. The papers are organized in topical sections on artificial intelligence; smart computing; cyber security; industry.
Advancements in Smart Computing and Information Security: Second International Conference, ASCIS 2023, Rajkot, India, December 7–9, 2023, Revised Selected Papers, Part I (Communications in Computer and Information Science #2037)
by Sridaran Rajagopal Kalpesh Popat Divyakant Meva Sunil BajejaThis 4-volume CCIS post-conference set represents the proceedings of the Second International Conference on Advances in Smart Computing and Information Security, ASCIS 2023, in Rajkot, Gujarat, India, December 2023. The 91 full papers and 36 short papers in the volume were carefully checked and selected from 432 submissions. Various application areas were presented at the conference, including healthcare, agriculture, automotive, construction and engineering, pharmaceuticals, cybercrime and sports.
Advancements in Smart Computing and Information Security: Second International Conference, ASCIS 2023, Rajkot, India, December 7–9, 2023, Revised Selected Papers, Part II (Communications in Computer and Information Science #2038)
by Sridaran Rajagopal Kalpesh Popat Divyakant Meva Sunil BajejaThis 4-volume CCIS post-conference set represents the proceedings of the Second International Conference on Advances in Smart Computing and Information Security, ASCIS 2023, in Rajkot, Gujarat, India, December 2023. The 91 full papers and 36 short papers in the volume were carefully checked and selected from 432 submissions. Various application areas were presented at the conference, including healthcare, agriculture, automotive, construction and engineering, pharmaceuticals, cybercrime and sports.
Advancements in Smart Computing and Information Security: Second International Conference, ASCIS 2023, Rajkot, India, December 7–9, 2023, Revised Selected Papers, Part III (Communications in Computer and Information Science #2039)
by Sridaran Rajagopal Kalpesh Popat Divyakant Meva Sunil BajejaThis 4-volume CCIS post-conference set represents the proceedings of the Second International Conference on Advances in Smart Computing and Information Security, ASCIS 2023, in Rajkot, Gujarat, India, December 2023. The 91 full papers and 36 short papers in the volume were carefully checked and selected from 432 submissions. Various application areas were presented at the conference, including healthcare, agriculture, automotive, construction and engineering, pharmaceuticals, cybercrime and sports.
Advancements in Smart Computing and Information Security: Second International Conference, ASCIS 2023, Rajkot, India, December 7–9, 2023, Revised Selected Papers, Part IV (Communications in Computer and Information Science #2040)
by Sridaran Rajagopal Kalpesh Popat Divyakant Meva Sunil BajejaThis 4-volume CCIS post-conference set represents the proceedings of the Second International Conference on Advances in Smart Computing and Information Security, ASCIS 2023, in Rajkot, Gujarat, India, December 2023. The 91 full papers and 36 short papers in the volume were carefully checked and selected from 432 submissions. Various application areas were presented at the conference, including healthcare, agriculture, automotive, construction and engineering, pharmaceuticals, cybercrime and sports.
Advancements in Urban Environmental Studies: Application of Geospatial Technology and Artificial Intelligence in Urban Studies (GIScience and Geo-environmental Modelling)
by Shouraseni Sen Roy Atiqur Rahman Swapan Talukdar ShahfahadAccording to UN estimates, approximately nearly half of the world's population now lives in cities and that figure is expected to rise to almost 70% by 2050. Cities now account for around 70% of worldwide greenhouse gas emissions, and this percentage is predicted to rise in the near future as a result of projected increases in global urbanization patterns. It is widely acknowledged that irrational urban planning and design can increase emissions while also exacerbating threats and risks, resulting in a slew of environmental issues such as urban heat islands, air pollution, flooding, amongst other issues, as well as environmental, social, and economic losses. Therefore, these concerns must be addressed promptly in order to cope up with these rising difficulties and make urban environments safer for residents. With the advancement of remote sensing technology and the use of current remote observation systems, urban data science, remote sensing, and artificial intelligence (AI), modeling and quantifying emergent difficulties in urban regions and urban systems have become easy. They aid in the quantitative analysis of urban shape, functions, and human behavior in cities. Harvesting data, developing models, and suggesting new methodologies will be aided by combining urban ecology with new breakthroughs in data science. This book is of great value to a diverse group of academicians, scientists, students, environmentalists, meteorologists, urban planners, remote sensing and GIS experts with a common interest in geospatial sciences within the earth environmental sciences, as well as human and social sciences.
Advances and Applications in Computer Science, Electronics, and Industrial Engineering: Proceedings of the Conference on Computer Science, Electronics and Industrial Engineering (CSEI 2021) (Lecture Notes in Networks and Systems #433)
by Félix Fernández-Peña Carlos Gordón-Gallegos Marcelo V. GarciaThis book presents the proceedings of the 3rd Conference on Computer Science, Electronics, and Industrial Engineering (CSEI 2021), held in Ambato in October 2021, with participants from 10 countries and guest speakers from Chile, Colombia, Brasil, Spain, Portugal, and United States. Featuring 20 peer-reviewed papers, it discusses topics such as the use of metaheuristics for non-deterministic problem solutions, software architectures for supporting e-government initiatives, and the use of electronics in e-learning and industrial environments. It also includes contributions illustrating how new approaches to these converging research areas are impacting the development of human societies around the world. As such, it is a valuable resource for scholars and practitioners alike.
Advances and Applications in Sliding Mode Control systems (Studies in Computational Intelligence #576)
by Ahmad Taher Azar Quanmin ZhuThis book describes the advances and applications in Sliding mode control (SMC) which is widely used as a powerful method to tackle uncertain nonlinear systems. The book is organized into 21 chapters which have been organised by the editors to reflect the various themes of sliding mode control. The book provides the reader with a broad range of material from first principles up to the current state of the art in the area of SMC and observation presented in a clear, matter-of-fact style. As such it is appropriate for graduate students with a basic knowledge of classical control theory and some knowledge of state-space methods and nonlinear systems. The resulting design procedures are emphasized using Matlab/Simulink software.
Advances and Applications of Artificial Intelligence & Machine Learning: Proceedings of ICAAAIML 2022 (Lecture Notes in Electrical Engineering #1078)
by Bhuvan Unhelkar Ankur Choudhary Hari Mohan Pandey Arun Prakash AgrawalThis volume comprises the select peer-reviewed proceedings of the International Conference on Advances and Applications of Artificial Intelligence and Machine Learning 2022 (ICAAAIML 2022). It aims to provide a comprehensive and broad-spectrum picture of state-of-the-art research and development in the areas of artificial intelligence, machine learning, deep learning, and their advanced applications in computer vision and blockchain. It also covers research in core concepts of computers, intelligent system design and deployment, real-time systems, WSN, sensors and sensor nodes, software engineering, image processing, and cloud computing. This volume will provide a valuable resource for those in academia and industry.
Advances and Applications of Optimised Algorithms in Image Processing (Intelligent Systems Reference Library #117)
by Erik Cuevas Diego OlivaThis book presents a study of the use of optimization algorithms in complex image processing problems. The problems selected explore areas ranging from the theory of image segmentation to the detection of complex objects in medical images. Furthermore, the concepts of machine learning and optimization are analyzed to provide an overview of the application of these tools in image processing. The material has been compiled from a teaching perspective. Accordingly, the book is primarily intended for undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics, and can be used for courses on Artificial Intelligence, Advanced Image Processing, Computational Intelligence, etc. Likewise, the material can be useful for research from the evolutionary computation, artificial intelligence and image processing communities.