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Advances in Data-Driven Computing and Intelligent Systems: Selected Papers from ADCIS 2023, Volume 3 (Lecture Notes in Networks and Systems #893)
by Swagatam Das Snehanshu Saha Carlos A. Coello Coello Jagdish C. BansalThis book is a collection of best-selected research papers presented at the International Conference on Advances in Data-driven Computing and Intelligent Systems (ADCIS 2023) held at BITS Pilani, K. K. Birla Goa Campus, Goa, India, during September 21–23, 2023. It includes state-of-the-art research work in the cutting-edge technologies in the field of data science and intelligent systems. The book presents data-driven computing; it is a new field of computational analysis which uses provided data to directly produce predictive outcomes. The book is useful for academicians, research scholars, and industry persons.
Advances in Data-Driven Computing and Intelligent Systems: Selected Papers from ADCIS 2023, Volume 2 (Lecture Notes in Networks and Systems #892)
by Swagatam Das Snehanshu Saha Carlos A. Coello Coello Jagdish C. BansalThis book is a collection of best-selected research papers presented at the International Conference on Advances in Data-driven Computing and Intelligent Systems (ADCIS 2023) held at BITS Pilani, K. K. Birla Goa Campus, Goa, India, during September 21–23, 2023. It includes state-of-the-art research work in the cutting-edge technologies in the field of data science and intelligent systems. The book presents data-driven computing; it is a new field of computational analysis which uses provided data to directly produce predictive outcomes. The book is useful for academicians, research scholars, and industry persons.
Advances in Data-driven Computing and Intelligent Systems: Selected Papers from ADCIS 2022, Volume 2 (Lecture Notes in Networks and Systems #653)
by Swagatam Das Snehanshu Saha Carlos A. Coello Coello Jagdish Chand BansalThe volume is a collection of best selected research papers presented at International Conference on Advances in Data-driven Computing and Intelligent Systems (ADCIS 2022) held at BITS Pilani, K K Birla Goa Campus, Goa, India during 23 – 25 September 2022. It includes state-of-the art research work in the cutting-edge technologies in the field of data science and intelligent systems. The book presents data-driven computing; it is a new field of computational analysis which uses provided data to directly produce predictive outcomes. The book will be useful for academicians, research scholars, and industry persons.
Advances in Data-Driven Computing and Intelligent Systems: Selected Papers from ADCIS 2022, Volume 1 (Lecture Notes in Networks and Systems #698)
by Swagatam Das Snehanshu Saha Carlos A. Coello Coello Jagdish Chand BansalThe volume is a collection of best selected research papers presented at International Conference on Advances in Data-driven Computing and Intelligent Systems (ADCIS 2022) held at BITS Pilani, K K Birla Goa Campus, Goa, India during 23 – 25 September 2022. It includes state-of-the art research work in the cutting-edge technologies in the field of data science and intelligent systems. The book presents data-driven computing; it is a new field of computational analysis which uses provided data to directly produce predictive outcomes. The book will be useful for academicians, research scholars, and industry persons.
Advances in Data-Driven Computing and Intelligent Systems: Selected Papers from ADCIS 2023, Volume 4 (Lecture Notes in Networks and Systems #890)
by Swagatam Das Snehanshu Saha Carlos A. Coello Coello Hemant Rathore Jagdish Chand BansalThe volume is a collection of best selected research papers presented at International Conference on Advances in Data-driven Computing and Intelligent Systems (ADCIS 2023) held at BITS Pilani, K K Birla Goa Campus, Goa, India during 21 – 23 September 2023. It includes state-of-the art research work in the cutting-edge technologies in the field of data science and intelligent systems. The book presents data-driven computing; it is a new field of computational analysis which uses provided data to directly produce predictive outcomes. The book will be useful for academicians, research scholars, and industry persons.
Advances in Data Science and Artificial Intelligence: ICDSAI 2022, IIT Patna, India, April 23 – 24 (Springer Proceedings in Mathematics & Statistics #403)
by Rajiv Misra Nishtha Kesswani Muttukrishnan Rajarajan Bharadwaj Veeravalli Imene Brigui Ashok Patel T. N. SinghWith the intriguing development of technologies in several industries along with the advent of accrescent and ubiquitous computational resources, it creates an ample number of opportunities to develop innovative intelligence technologies in order to solve the wide range of uncertainties, imprecision, and vagueness issues in various real-life problems. Hybridizing modern computational intelligence with traditional computing methods has attracted researchers and academicians to focus on developing innovative AI techniques using data science. International Conference on Data Science and Artificial Intelligence (ICDSAI) 2022, organized on April 23-24, 2022 by the Indian Institute of Technology, Patna at NITIE Mumbai (India) in collaboration with the International Association of Academicians (IAASSE) USA collected scientific and technical contributions with respect to models, tools, technologies, and applications in the field of modern Artificial Intelligence and Data Science, covering the entire range of concepts from theory to practice, including case studies, works-in-progress, and conceptual explorations.
Advances in Data Science and Computing Technologies: Select Proceedings of ASDC 2022 (Lecture Notes in Electrical Engineering #1056)
by Basabi Chakraborty Arindam Biswas Amlan ChakrabartiThis book presents selected research papers on current developments in artificial intelligence (AI) and data sciences from the International Conference on Advances in Data Science and Computing Technologies, ADSC 2022. The book covers topics such as soft computing techniques, AI, optical communication systems, application of Internet of Things, hybrid and renewable energy sources, cloud and mobile computing, deep machine learning, data networks & securities. The book discusses various aspects of these topics, e.g., technological considerations, product implementation, and application issues. The volume will serve as a reference resource for researchers and practitioners in academia and industry.
Advances in Data Science and Information Engineering: Proceedings from ICDATA 2020 and IKE 2020 (Transactions on Computational Science and Computational Intelligence)
by Robert Stahlbock Gary M. Weiss Mahmoud Abou-Nasr Cheng-Ying Yang Hamid R. Arabnia Leonidas DeligiannidisThe book presents the proceedings of two conferences: the 16th International Conference on Data Science (ICDATA 2020) and the 19th International Conference on Information & Knowledge Engineering (IKE 2020), which took place in Las Vegas, NV, USA, July 27-30, 2020. The conferences are part of the larger 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20), which features 20 major tracks. Papers cover all aspects of Data Science, Data Mining, Machine Learning, Artificial and Computational Intelligence (ICDATA) and Information Retrieval Systems, Information & Knowledge Engineering, Management and Cyber-Learning (IKE). Authors include academics, researchers, professionals, and students.Presents the proceedings of the 16th International Conference on Data Science (ICDATA 2020) and the 19th International Conference on Information & Knowledge Engineering (IKE 2020); Includes papers on topics from data mining to machine learning to informational retrieval systems;Authors include academics, researchers, professionals and students.
Advances in Data Science and Intelligent Data Communication Technologies for COVID-19: Innovative Solutions Against COVID-19 (Studies in Systems, Decision and Control #378)
by Aboul-Ella Hassanien Sally M. Elghamrawy Ivan ZelinkaThis book presents the emerging developments in intelligent computing, machine learning, and data mining. It also provides insights on communications, network technologies, and the Internet of things. It offers various insights on the role of the Internet of things against COVID-19 and its potential applications. It provides the latest cloud computing improvements and advanced computing and addresses data security and privacy to secure COVID-19 data.
Advances in Data Science and Management: Proceedings of ICDSM 2021 (Lecture Notes on Data Engineering and Communications Technologies #86)
by Valentina Emilia Balas Samarjeet Borah Brojo Kishore Mishra Zdzislaw Polkowski Sambit Kumar MishraThis book includes high-quality papers presented at the Second International Conference on Data Science and Management (ICDSM 2021), organized by the Gandhi Institute for Education and Technology, Bhubaneswar, from 19 to 20 February 2021. It features research in which data science is used to facilitate the decision-making process in various application areas, and also covers a wide range of learning methods and their applications in a number of learning problems. The empirical studies, theoretical analyses and comparisons to psychological phenomena described contribute to the development of products to meet market demands.
Advances in Data Science and Management: Proceedings of ICDSM 2019 (Lecture Notes on Data Engineering and Communications Technologies #37)
by Valentina Emilia Balas Samarjeet Borah Zdzislaw PolkowskiThis book includes high-quality papers presented at the International Conference on Data Science and Management (ICDSM 2019), organised by the Gandhi Institute for Education and Technology, Bhubaneswar, from 22 to 23 February 2019. It features research in which data science is used to facilitate the decision-making process in various application areas, and also covers a wide range of learning methods and their applications in a number of learning problems. The empirical studies, theoretical analyses and comparisons to psychological phenomena described contribute to the development of products to meet market demands.
Advances in Data Science: Methodologies and Applications (Intelligent Systems Reference Library #189)
by Gloria Phillips-Wren Anna Esposito Lakhmi C. JainBig data and data science are transforming our world today in ways we could not have imagined at the beginning of the twenty-first century. The accompanying wave of innovation has sparked advances in healthcare, engineering, business, science, and human perception, among others. The tremendous advances in computing power and intelligent techniques have opened many opportunities for managing data and investigating data in virtually every field, and the scope of data science is expected to grow over the next decade. These future research achievements will solve old challenges and create new opportunities for growth and development. Thus, the research presented in this book is interdisciplinary and covers themes embracing emotions, artificial intelligence, robotics applications, sentiment analysis, smart city problems, assistive technologies, speech melody, and fall and abnormal behavior detection. The book is directed to the researchers, practitioners, professors and students interested in recent advances in methodologies and applications of data science. An introduction to the topic is provided, and research challenges and future research opportunities are highlighted throughout.
Advances in Data Sciences, Security and Applications: Proceedings of ICDSSA 2019 (Lecture Notes in Electrical Engineering #612)
by Vanita Jain Gopal Chaudhary M. Cengiz Taplamacioglu M. S. AgarwalThis book gathers the best papers presented at the International Conference on Data Sciences, Security and Applications (ICDSSA 2019), organized by Bharati Vidyapeeth’s College of Engineering, New Delhi, India, on 7–8 March 2019. The respective contributions present original research work, essential information, techniques and applications in the fields of data mining, artificial intelligence and computational intelligence. They also discuss machine learning in business intelligence and big data analytics, soft computing, security, cloud computing and the latest trends.
Advances in Decision Science and Management: Proceedings of Third International Conference on Decision Science and Management (ICDSM 2021) (Advances in Intelligent Systems and Computing #1391)
by Taosheng Wang Srikanta Patnaik Andrew W. H. Ip Madjid TavanaThis book discusses an emerging area in computer science, IT, and management, i.e., decision sciences and management. It includes studies that employ various computing techniques like machine learning to generate insights from huge amounts of available data; and which explore decision making for cross-platforms that contain heterogeneous data associated with complex assets; leadership; and team coordination. It also reveals the advantages of using decision sciences with management-oriented problems. The book includes a selection of the best papers presented at the Third International Conference on Decision Science and Management 2021 (ICDSM 2021), held at Hang Seng University of Hong Kong in China.
Advances in Decision Sciences, Image Processing, Security and Computer Vision: International Conference on Emerging Trends in Engineering (ICETE), Vol. 2 (Learning and Analytics in Intelligent Systems #4)
by Suresh Chandra Satapathy K. Srujan Raju K. Shyamala D. Rama Krishna Margarita N. FavorskayaThis book constitutes the proceedings of the First International Conference on Emerging Trends in Engineering (ICETE), held at University College of Engineering and organised by the Alumni Association, University College of Engineering, Osmania University, in Hyderabad, India on 22–23 March 2019. The proceedings of the ICETE are published in three volumes, covering seven areas: Biomedical, Civil, Computer Science, Electrical & Electronics, Electronics & Communication, Mechanical, and Mining Engineering. The 215 peer-reviewed papers from around the globe present the latest state-of-the-art research, and are useful to postgraduate students, researchers, academics and industry engineers working in the respective fields. Volume 2 presents papers on the theme “Advances in Decision Sciences, Image Processing, Security and Computer Vision – International Conference on Emerging Trends in Engineering (ICETE)”. It includes state-of-the-art technical contributions in the areas of electronics and communication engineering and electrical and electronics engineering, discussing the latest sustainable developments in fields such as signal processing and communications; GNSS and VLSI; microwaves and antennas; signal, speech and image processing; power systems; and power electronics.
Advances in Decision Sciences, Image Processing, Security and Computer Vision: International Conference on Emerging Trends in Engineering (ICETE), Vol. 1 (Learning and Analytics in Intelligent Systems #3)
by Suresh Chandra Satapathy K. Srujan Raju K. Shyamala D. Rama Krishna Margarita N. FavorskayaThis book constitutes the proceedings of the First International Conference on Emerging Trends in Engineering (ICETE), held at University College of Engineering and organised by the Alumni Association, University College of Engineering, Osmania University, in Hyderabad, India on 22–23 March 2019.The proceedings of the ICETE are published in three volumes, covering seven areas: Biomedical, Civil, Computer Science, Electrical & Electronics, Electronics & Communication, Mechanical, and Mining Engineering. The 215 peer-reviewed papers from around the globe present the latest state-of-the-art research, and are useful to postgraduate students, researchers, academics and industry engineers working in the respective fields. Volume 1 presents papers on the theme “Advances in Decision Sciences, Image Processing, Security and Computer Vision – International Conference on Emerging Trends in Engineering (ICETE)”. It includes state-of-the-art technical contributions in the area of biomedical and computer science engineering, discussing sustainable developments in the field, such as instrumentation and innovation, signal and image processing, Internet of Things, cryptography and network security, data mining and machine learning.
Advances in Deep-Fat Frying of Foods (Contemporary Food Engineering)
by Serpil Sahin Servet Gülüm SumnuBattered fried foods consistently remain in high demand despite concerns about their health aspects, prompting food processors to develop new methods and alternative oils and batters in the name of healthy, tasty fried foods and high-performance, cost-effective frying oil. With contributions from an international panel of food technology authoritie
Advances in Deep Foundations: International Workshop on Recent Advances of Deep Foundations (IWDPF07) 1-2 February 2007, Port and Airport Research Institute, Yokosuka, Japan
by Yoshiaki Kikuchi Jun Otani Makoto KimuraCivil Engineering has recently seen enormous progress in the core field of the construction of deep foundations. This book is the result of the International Workshop on Recent Advances in Deep Foundations (IWDPF07), which was held in Yokosuka, Japan from the 1st to the 2nd of February, 2007. Topics under discussion in this book include recent rese
Advances in Deep Generative Models for Medical Artificial Intelligence (Studies in Computational Intelligence #1124)
by Hazrat Ali Mubashir Husain Rehmani Zubair ShahGenerative Artificial Intelligence is rapidly advancing with many state-of-the-art performances on computer vision, speech processing, and natural language processing tasks. Generative adversarial networks and neural diffusion models can generate high-quality synthetic images of human faces, artworks, and coherent essays on different topics. Generative models are also transforming Medical Artificial Intelligence, given their potential to learn complex features from medical imaging and healthcare data. Hence, computer-aided diagnosis and healthcare are benefiting from Medical Artificial Intelligence and Generative Artificial Intelligence. This book presents the recent advances in generative models for Medical Artificial Intelligence. It covers many applications of generative models for medical image data, including volumetric medical image segmentation, data augmentation, MRI reconstruction, and modeling of spatiotemporal medical data. This book highlights the recent advancements in Generative Artificial Intelligence for medical and healthcare applications, using medical imaging and clinical and electronic health records data. Furthermore, the book comprehensively presents the concepts and applications of deep learning-based artificial intelligence methods, such as generative adversarial networks, convolutional neural networks, and vision transformers. It also presents a quantitative and qualitative analysis of data augmentation and synthesis performances of Generative Artificial Intelligence models. This book is the result of the collaborative efforts and hard work of many minds who contributed to it and illuminated the vast landscape of Medical Artificial Intelligence. The book is suitable for reading by computer science researchers, medical professionals, healthcare informatics, and medical imaging researchers interested in understanding the potential of artificial intelligence in healthcare. It serves as a compass for navigating the artificial intelligence-driven healthcare landscape.
Advances in Deep Learning, Artificial Intelligence and Robotics: Proceedings of the 2nd International Conference on Deep Learning, Artificial Intelligence and Robotics, (ICDLAIR) 2020 (Lecture Notes in Networks and Systems #249)
by Alfredo Vaccaro Roberto Tagliaferri Luigi Troiano Nishtha Kesswani Irene Díaz Rodriguez Imene Brigui Domenico ParenteThis book of Advances in Deep Learning, Artificial Intelligence and Robotics (proceedings of ICDLAIR 2020) is intended to be used as a reference by students and researchers who collect scientific and technical contributions with respect to models, tools, technologies and applications in the field of modern artificial intelligence and robotics. Deep Learning, AI and robotics represent key ingredients for the 4th Industrial Revolution. Their extensive application is dramatically changing products and services, with a large impact on labour, economy and society at all. The research and reports of new technologies and applications in DL, AI and robotics like biometric recognition systems, medical diagnosis, industries, telecommunications, AI petri nets model-based diagnosis, gaming, stock trading, intelligent aerospace systems, robot control and web intelligence aim to bridge the gap between these non-coherent disciplines of knowledge and fosters unified development in next-generation computational models for machine intelligence.
Advances in Deep Learning for Medical Image Analysis
by Archana MireThis reference text introduces the classical probabilistic model, deep learning, and big data techniques for improving medical imaging and detecting various diseases. The text addresses a wide variety of application areas in medical imaging where deep learning techniques provide solutions with lesser human intervention and reduced time. It comprehensively covers important machine learning for signal analysis, deep learning techniques for cancer detection, diabetic cases, skin image analysis, Alzheimer’s disease detection, coronary disease detection, medical image forensic, fetal anomaly detection, and plant phytology. The text will serve as a useful text for graduate students and academic researchers in the fields of electronics engineering, computer science, biomedical engineering, and electrical engineering.
Advances in Dental Implantology using Nanomaterials and Allied Technology Applications
by Ramesh S. Chaughule Rajesh DashaputraAs the name suggests this book discusses how nanotechnology has influenced the provision of implant treatment from surgery to prosthetic reconstruction and post treatment biological complications. This book is a sequel to the earlier book “Dental Applications of Nanotechnology” published by Springer. It aims to present both the nanotechnology and allied research along with the clinical concepts of almost every different aspect of implantology in one volume. These two fraternities promote the translation of the research ideas and product development into fruitful practicalities. The first section covers nanobiomaterials in implant applications, in bone regeneration, prosthetic rehabilitation, to control biofilm and peri-implantitis, bone grafting and tissue engineering. The second section explores applications of such new technologies in the field of implantology that gives this book a unique feature by bringing science and technology into clinical application. It covers implant stability, peri-implantitis, lasers, CAD/CAM technology, impressions, 3D printing, reconstruction with bone grafts and zygomatic implants. Comprehensive coverage includes both simple and complicated clinical cases, with practical guidance on how to apply the latest research, diagnostic tools, treatment planning, implant designs, materials, and techniques to provide superior patient outcomes. The book is well written and structured making it easy for experienced clinicians and those new to dental implantology as well as students, researchers, scientists and faculties of dental universities
Advances in Dependability Engineering of Complex Systems: Proceedings of the Twelfth International Conference on Dependability and Complex Systems DepCoS-RELCOMEX, July 2 - 6, 2017, Brunów, Poland (Advances in Intelligent Systems and Computing #582)
by Janusz Kacprzyk Wojciech Zamojski Jacek Mazurkiewicz Jarosław Sugier Tomasz WalkowiakThese proceedings present the results of the Eleventh International Conference on Dependability and Complex Systems DepCoS-RELCOMEX which took place in a picturesque Brun#65533;w Palace in Poland from 27th June to 1st July, 2016. DepCoS-RELCOMEX is a series of international conferences organized annually by Department of Computer Engineering of Wrocław University of Science and Technology since 2006. The roots of the series go as far back as to the seventies of the previous century - the first RELCOMEX conference took place in 1977 - and now its main aim is to promote a multi-disciplinary approach to dependability problems in theory and engineering practice of complex systems. Complex systems, nowadays most often computer-based and distributed, are built upon a variety of technical, information, software and human resources. The challenges in their design, analysis and maintenance not only originate from the involved technical and organizational structures but also from the complexity of the information processes that must be efficiently executed in a diverse, often hostile operational environment. Traditional methods of reliability evaluation focused only on technical resources are usually insufficient in this context and more innovative, multidisciplinary methods of dependability analysis must be applied. The diversity of the topics which need to be considered is well illustrated by the selection of the submissions in these proceedings with their subjects ranging from mathematical models and design methodologies through software engineering and data security issues up to practical problems in technical, e. g. transportation, systems.
Advances in Desiccant Dehumidification: From Fundamentals to Applications
by Vivekh Prabakaran Kian Jon ChuaThis book systematically analyses state-of-the-art technology and research related to desiccant dehumidification. It provides key insights into the current research direction, and presents global research and development interests. It begins by offering a comprehensive review of conventional desiccants and their underlying engineering challenges. Fundamental material characteristic properties and factors critical to the desiccant synthesis are highlighted.The applicability of next-generation advanced materials to address the challenges is documented, and the advantages of desiccant coated heat exchangers are evaluated. Lastly, the potential applications of desiccant dehumidifiers in various energy-connected applications are discussed, and case studies on industrial/building cooling systems are provided. Specifically targeted at HVAC engineers, thermal scientists, energy-engineering researchers, and graduate-level students in the field, the technical content balances fundamental concepts and applications.
Advances in Design and Automation: Select Proceedings of ICFAMMT 2024 (Lecture Notes in Mechanical Engineering)
by Ajit Kumar Ganesh Iyer Ulkesh Desai Arun KumarThis book presents the select proceedings of International Conference on Futuristic Advancements in Materials, Manufacturing and Thermal Sciences (ICFAMMT 2024). It focuses on the recent advances in applied mechanics, approaches and application of technologies like Internet of Things (IoT), big data, cyber-physical systems (CPS), and smart factory to problems in design engineering. It highlights the applications of artificial intelligence and machine learning to the aspects of mechanical design. This book is useful for researchers and professionals in mechanical engineering and those working in IoT, big data, CPS, and Industry 4.0.