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An enlightening amalgamation of deep learning concepts with visual computing and signal processing applications, this new volume covers the fundamentals and advanced topics in designing and deploying techniques using deep architectures and their application in visual computing and signal processing. The volume first lays out the fundamentals of deep learning as well as deep learning architectures and frameworks. It goes on to discuss deep learning in neural networks and deep learning for object recognition and detection models. It looks at the various specific applications of deep learning in visual and signal processing, such as in biorobotics, for automated brain tumor segmentation in MRI images, in neural networks for use in seizure classification, for digital forensic investigation based on deep learning, and more.
This book comprises select papers from the international conference on Research in Intelligent and Computing in Engineering (RICE 2019) held at Hanoi University of Industry, Hanoi, Vietnam. The volume focuses on current research on various computing models such as centralized, distributed, cluster, grid and cloud. The contents cover recent advances in wireless sensor networks, mobile ad hoc networks, internet of things, machine learning, grid and cloud computing, and their various applications. The book will help researchers as well as professionals to gain insight into the rapidly evolving fields of internet computing and data mining.
The book provides a comprehensive understanding of cutting-edge research and applications at the intersection of genomics and advanced AI techniques and serves as an essential resource for researchers, bioinformaticians, and practitioners looking to leverage genomics data for AI-driven insights and innovations. The book encompasses a wide range of topics, starting with an introduction to genomics data and its unique characteristics. Each chapter unfolds a unique facet, delving into the collaborative potential and challenges that arise from advanced technologies. It explores image analysis techniques specifically tailored for genomic data. It also delves into deep learning showcasing the powe...
MULTIMODAL BIOMETRIC AND MACHINE LEARNING TECHNOLOGIES With an increasing demand for biometric systems in various industries, this book on multimodal biometric systems, answers the call for increased resources to help researchers, developers, and practitioners. Multimodal biometric and machine learning technologies have revolutionized the field of security and authentication. These technologies utilize multiple sources of information, such as facial recognition, voice recognition, and fingerprint scanning, to verify an individual???s identity. The need for enhanced security and authentication has become increasingly important, and with the rise of digital technologies, cyber-attacks and iden...
Principles of Bone Biology provides the most comprehensive, authoritative reference on the study of bone biology and related diseases. It is the essential resource for anyone involved in the study of bone biology. Bone research in recent years has generated enormous attention, mainly because of the broad public health implications of osteoporosis and related bone disorders. - Provides a "one-stop" shop. There is no need to search through many research journals or books to glean the information one wants...it is all in one source written by the experts in the field - The essential resource for anyone involved in the study of bones and bone diseases - Takes the reader from the basic elements of fundamental research to the most sophisticated concepts in therapeutics - Readers can easily search and locate information quickly as it will be online with this new edition
OPTIMIZED PREDICTIVE MODELS IN HEALTH CARE USING MACHINE LEARNING This book is a comprehensive guide to developing and implementing optimized predictive models in healthcare using machine learning and is a required resource for researchers, healthcare professionals, and students who wish to know more about real-time applications. The book focuses on how humans and computers interact to ever-increasing levels of complexity and simplicity and provides content on the theory of optimized predictive model design, evaluation, and user diversity. Predictive modeling, a field of machine learning, has emerged as a powerful tool in healthcare for identifying high-risk patients, predicting disease prog...
Practical Management of Ovulation Induction is a concise resource for postgraduate students, infertility specialists and gynaecologists. Divided into seventeen chapters, the book begins with the physiology and regulatory factors of ovulation, and proceeds to cover topics such as ovarian hyperstimulation syndrome, premature ovarian failure, and a variety of ovulation induction therapies including new drugs. The book concludes with chapters on the surgical management of anovulation, oocyte donation, ovarian transplant and surrogacy. This book features new clinical applications for old medications, and discussion on various treatment combinations, as well as new drugs such as Anastrozole. Discussion on complications of ovulation induction and strategies to avoid them, are also included. Illustrated throughout, Practical Management of Ovulation Induction is an invaluable tool to assist practitioners in the selection of appropriate ovulation induction treatment. Key Points Concise guide to the selection and administration of ovulation induction therapies Includes new therapies, drugs and treatment combinations 41 images and illustrations
This book presents select and peer-reviewed proceedings of the International Conference on Smart Communication and Imaging Systems (MEDCOM 2021). The contents explore the recent technological advances in the field of next-generation electronics devices and communication systems. The topics include the design and development of smart, secure, and reliable future communication networks; satellite, radar, and microwave techniques for intelligent communication. The book also covers methods and applications of GIS and remote sensing; medical image analysis and its applications in smart health. This book can be useful for students, researchers, and professionals working in the field of communication systems and image processing.
Reservoir fisheries development is most essential for quantum jump in inland fish production and socioeconomic up gradation of fishermen. However presently, the fish yield from the reservoir fisheries is frustratingly low, as observed by Sinha (2001). The strategy of enlargement of gear mesh size for capture, increases in fishing efforts and stocking support paid rich dividends in this area. The stocking necessitate the breeding population of economically viable species in the reservoirs. The opportunity needs to be used for establishing the native major food fishes that are compatible and hardy and amenable to the lentic environment of the reservoir, otherwise, the trash fishes multiply and...