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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 Data and Information Sciences: Proceedings of ICDIS 2017, Volume 2 (Lecture Notes in Networks and Systems #39)
by Shailesh Tiwari Munesh C. Trivedi Mohan L. Kolhe Vikash Kumar SinghThe book gathers a collection of high-quality peer-reviewed research papers presented at the International Conference on Data and Information Systems (ICDIS 2017), held at Indira Gandhi National Tribal University, India from November 3 to 4, 2017. The book covers all aspects of computational sciences and information security. In chapters written by leading researchers, developers and practitioner from academia and industry, it highlights the latest developments and technical solutions, helping readers from the computer industry capitalize on key advances in next-generation computer and communication technology.
Advances in Data and Information Sciences: Proceedings of ICDIS 2019 (Lecture Notes in Networks and Systems #94)
by Krishn K. Mishra Shailesh Tiwari Munesh C. Trivedi Mohan L. KolheThis book gathers a collection of high-quality peer-reviewed research papers presented at the 2nd International Conference on Data and Information Sciences (ICDIS 2019), held at Raja Balwant Singh Engineering Technical Campus, Agra, India, on March 29–30, 2019. In chapters written by leading researchers, developers, and practitioner from academia and industry, it covers virtually all aspects of computational sciences and information security, including central topics like artificial intelligence, cloud computing, and big data. Highlighting the latest developments and technical solutions, it will show readers from the computer industry how to capitalize on key advances in next-generation computer and communication technology.
Advances in Data and Information Sciences: Proceedings of ICDIS 2021 (Lecture Notes in Networks and Systems #318)
by Shailesh Tiwari Munesh C. Trivedi Mohan Lal Kolhe K. K. Mishra Brajesh Kumar SinghThis book gathers a collection of high-quality peer-reviewed research papers presented at the 3rd International Conference on Data and Information Sciences (ICDIS 2021), held at Raja Balwant Singh Engineering Technical Campus, Agra, India, on May 14 – 15, 2021. In chapters written by leading researchers, developers, and practitioner from academia and industry, it covers virtually all aspects of computational sciences and information security, including central topics like artificial intelligence, cloud computing, and big data. Highlighting the latest developments and technical solutions, it will show readers from the computer industry how to capitalize on key advances in next-generation computer and communication technology.
Advances in Data and Information Sciences: Proceedings of ICDIS 2022 (Lecture Notes in Networks and Systems #522)
by Shailesh Tiwari Munesh C. Trivedi Mohan L. Kolhe Brajesh Kumar SinghThis book gathers a collection of high-quality peer-reviewed research papers presented at the 4th International Conference on Data and Information Sciences (ICDIS 2022), held at Raja Balwant Singh Engineering Technical Campus, Agra, India, on May 6 – 7, 2022. The book covers all aspects of computational sciences and information security, including central topics like artificial intelligence, cloud computing, and big data. Highlighting the latest developments and technical solutions, it will show readers from the computer industry how to capitalize on key advances in next-generation computer and communication technology.
Advances in Data and Information Sciences: Proceedings of ICDIS 2023 (Lecture Notes in Networks and Systems #796)
by Shailesh Tiwari Munesh C. Trivedi Mohan L. Kolhe Brajesh Kumar SinghThis book gathers a collection of high-quality peer-reviewed research papers presented at the 5th International Conference on Data and Information Sciences (ICDIS 2023), held at Raja Balwant Singh Engineering Technical Campus, Agra, India, on June 16–17, 2023. The book covers all aspects of computational sciences and information security, including central topics like artificial intelligence, cloud computing, and big data. Highlighting the latest developments and technical solutions, it shows readers from the computer industry how to capitalize on key advances in next-generation computer and communication technology.
Advances in Data and Information Sciences: Proceedings of ICDIS 2024, Volume 1 (Lecture Notes in Networks and Systems #1127)
by Shailesh Tiwari Munesh C. Trivedi Mohan L. Kolhe Brajesh Kumar SinghThis book gathers a collection of high-quality peer-reviewed research papers presented at the 6th International Conference on Data and Information Sciences (ICDIS 2024), held at Raja Balwant Singh Engineering Technical Campus, Agra, India, on May 24–25, 2024. The book covers all aspects of computational sciences and information security, including central topics like artificial intelligence, cloud computing, and big data. Highlighting the latest developments and technical solutions, it shows readers from the computer industry how to capitalize on key advances in next-generation computer and communication technology.
Advances in Data and Information Sciences: Proceedings of ICDIS 2024, Volume 2 (Lecture Notes in Networks and Systems #1193)
by Shailesh Tiwari Munesh C. Trivedi Mohan L. Kolhe Brajesh Kumar SinghThis book gathers a collection of high-quality peer-reviewed research papers presented at the 6th International Conference on Data and Information Sciences (ICDIS 2024), held at Raja Balwant Singh Engineering Technical Campus, Agra, India, on May 24–25, 2024. The book covers all aspects of computational sciences and information security, including central topics like artificial intelligence, cloud computing, and big data. Highlighting the latest developments and technical solutions, it shows readers from the computer industry how to capitalize on key advances in next-generation computer and communication technology.
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 Jagdish Chand Bansal Carlos A. Coello Coello Snehanshu SahaThe 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 1 (Lecture Notes in Networks and Systems #891)
by Swagatam Das Carlos A. Coello Coello Jagdish C. Bansal Snehanshu SahaThis 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 Carlos A. Coello Coello Jagdish C. Bansal Snehanshu SahaThis 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 3 (Lecture Notes in Networks and Systems #893)
by Swagatam Das Carlos A. Coello Coello Jagdish C. Bansal Snehanshu SahaThis 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 4 (Lecture Notes in Networks and Systems #890)
by Swagatam Das Jagdish Chand Bansal Carlos A. Coello Coello Snehanshu Saha Hemant RathoreThe 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-driven Computing and Intelligent Systems: Selected Papers from ADCIS 2022, Volume 2 (Lecture Notes in Networks and Systems #653)
by Swagatam Das Jagdish Chand Bansal Carlos A. Coello Coello Snehanshu SahaThe 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 Decision Science and Management: Proceedings of Third International Conference on Decision Science and Management (ICDSM 2021) (Advances in Intelligent Systems and Computing #1391)
by Madjid Tavana Srikanta Patnaik Andrew W. H. Ip Taosheng WangThis 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. 1 (Learning and Analytics in Intelligent Systems #3)
by Margarita N. Favorskaya Suresh Chandra Satapathy K. Srujan Raju K. Shyamala D. Rama KrishnaThis 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 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 Margarita N. Favorskaya Suresh Chandra Satapathy K. Srujan Raju K. Shyamala D. Rama KrishnaThis 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 Deep Foundations: International Workshop on Recent Advances of Deep Foundations (IWDPF07) 1-2 February 2007, Port and Airport Research Institute, Yokosuka, Japan
by Jun Otani Yoshiaki Kikuchi 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 Mubashir Husain Rehmani Hazrat Ali 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 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 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, Volume 2 (Studies in Big Data #12)
by M. Arif Wani Bisma Sultan Sarwat Ali Mukhtar Ahmad SofiThis book describes novel ways of using deep learning to solve real-world problems. It covers advanced deep learning topics like neural architecture search, ensemble deep learning, transfer learning techniques, lightweight architectures, hybrid deep learning approaches, and generative adversarial networks. The book discusses the use of these advanced topics in selected applications like image classification, object detection, image steganography, protein secondary structure prediction, and gene expression data classification. Various challenges and future research directions falling under the scope of these topics are discussed.
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 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.