Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Ieee Sensors 2022
Download Ieee Sensors 2022 full books in PDF, epub, and Kindle. Read online Ieee Sensors 2022 ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Book Synopsis Optical Waveguide Technology and and Applications by : Ki Young Kim
Download or read book Optical Waveguide Technology and and Applications written by Ki Young Kim and published by BoD – Books on Demand. This book was released on 2024-09-11 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optical Waveguide Technology and Applications encompasses both fundamental theory and engineering applications, appealing to a wide range of interests, from classical approaches to emerging modern research topics in related fields. This book is a collection of contemporary research and developments in optical waveguide technology and applications. It features seven carefully selected chapters organized into two sections: “Optical Sensing” and “Waveguiding Media.” Chapters address such topics as fiber optical sensing techniques and their underlying theory and applications, integrated optical waveguide structures and performances, waveguides in magnetism and spintronics, graphene-based surface plasmonics, optical waveguides in quantum computations, and optical waveguide fabrication processes.
Book Synopsis Gerontology As an Interdisciplinary Science by : Tomoki Shiozawa
Download or read book Gerontology As an Interdisciplinary Science written by Tomoki Shiozawa and published by Springer Nature. This book was released on 2024 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Applications of Machine Learning in UAV Networks by : Hassan, Jahan
Download or read book Applications of Machine Learning in UAV Networks written by Hassan, Jahan and published by IGI Global. This book was released on 2024-01-17 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applications of Machine Learning in UAV Networks presents a pioneering exploration into the symbiotic relationship between machine learning techniques and UAVs. In an age where UAVs are revolutionizing sectors as diverse as agriculture, environmental preservation, security, and disaster response, this meticulously crafted volume offers an analysis of the manifold ways machine learning drives advancements in UAV network efficiency and efficacy. This book navigates through an expansive array of domains, each demarcating a pivotal application of machine learning in UAV networks. From the precision realm of agriculture and its dynamic role in yield prediction to the ecological sensitivity of biodiversity monitoring and habitat restoration, the contours of each domain are vividly etched. These explorations are not limited to the terrestrial sphere; rather, they extend to the pivotal aerial missions of wildlife conservation, forest fire monitoring, and security enhancement, where UAVs adorned with machine learning algorithms wield an instrumental role. Scholars and practitioners from fields as diverse as machine learning, UAV technology, robotics, and IoT networks will find themselves immersed in a confluence of interdisciplinary expertise. The book's pages cater equally to professionals entrenched in agriculture, environmental studies, disaster management, and beyond.
Book Synopsis Sustainable, Innovative and Intelligent Societies and Cities by : Carlos Filipe da Silva Portela
Download or read book Sustainable, Innovative and Intelligent Societies and Cities written by Carlos Filipe da Silva Portela and published by Springer Nature. This book was released on 2023-06-09 with total page 457 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book combines two main topics applied to cities and societies: innovation and sustainability. The book begins by showing a brief overview of the book's main topics; then, the book addresses four main areas which allow our communities to be more attractive, engaging and fun; analytical, descriptive and predictive; healthy, secure and sustainable; and innovative, connected and monitored. This book represents a union of inputs from researchers and practitioners where each chapter has distinct, valuable and practical contributions that turn it unique. The content ranges from theoretical, like studies or analyses to practical, like industrial solutions or engaging systems. Both branches focus on turning our society more attractive, intelligent, inclusive, sustainable, and ready for the future.
Book Synopsis Advanced signal processing techniques in radiation detection and imaging by : Jian Dong
Download or read book Advanced signal processing techniques in radiation detection and imaging written by Jian Dong and published by Frontiers Media SA. This book was released on 2023-12-26 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Intelligent Computing and Optimization for Sustainable Development by : Veena Grover
Download or read book Intelligent Computing and Optimization for Sustainable Development written by Veena Grover and published by CRC Press. This book was released on 2024-12-19 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents insights into how Intelligent Computing and Optimization techniques can be used to attain the goals of Sustainable Development. It provides a comprehensive overview of the latest breakthroughs and recent developments in sustainable, intelligent computing technologies, applications, and optimization techniques across various industries, including business process management, manufacturing, financial sector, agriculture, financial sector, supply chain management, and healthcare. It focuses on computational intelligent techniques and optimization techniques to provide sustainable solutions to many problems. Features: • Provides insights into the theory, implementation, and application of computational intelligence techniques in many industries. • Includes industry practitioner perspectives and case studies for a better understanding of sustainable solutions. • Highlights the role of intelligent computing and optimization as key technologies in decision-making processes and in providing cutting-edge solutions to real-world problems. • Addresses the challenges and limitations of computational approaches in sustainability, such as data availability, model uncertainty, and computational complexity, while also discusses emerging opportunities and future directions in the field. This book will be useful for professionals and scholars looking for up-to-date research on cutting-edge perspectives in the field of computational intelligent and optimization techniques in the areas of agriculture, industry, financial sector, business automation, renewable energy, optimization, and smart cities.
Book Synopsis Learning Techniques for the Internet of Things by : Praveen Kumar Donta
Download or read book Learning Techniques for the Internet of Things written by Praveen Kumar Donta and published by Springer Nature. This book was released on with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis TinyML for Edge Intelligence in IoT and LPWAN Networks by : Bharat S Chaudhari
Download or read book TinyML for Edge Intelligence in IoT and LPWAN Networks written by Bharat S Chaudhari and published by Elsevier. This book was released on 2024-05-29 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recently, Tiny Machine Learning (TinyML) has gained incredible importance due to its capabilities of creating lightweight machine learning (ML) frameworks aiming at low latency, lower energy consumption, lower bandwidth requirement, improved data security and privacy, and other performance necessities. As billions of battery-operated embedded IoT and low power wide area networks (LPWAN) nodes with very low on-board memory and computational capabilities are getting connected to the Internet each year, there is a critical need to have a special computational framework like TinyML. TinyML for Edge Intelligence in IoT and LPWAN Networks presents the evolution, developments, and advances in TinyML as applied to IoT and LPWANs. It starts by providing the foundations of IoT/LPWANs, low power embedded systems and hardware, the role of artificial intelligence and machine learning in communication networks in general and cloud/edge intelligence. It then presents the concepts, methods, algorithms and tools of TinyML. Practical applications of the use of TinyML are given from health and industrial fields which provide practical guidance on the design of applications and the selection of appropriate technologies. TinyML for Edge Intelligence in IoT and LPWAN Networks is highly suitable for academic researchers and professional system engineers, architects, designers, testers, deployment engineers seeking to design ultra-lower power and time-critical applications. It would also help in designing the networks for emerging and future applications for resource-constrained nodes. - This book provides one-stop solutions for emerging TinyML for IoT and LPWAN applications. - The principles and methods of TinyML are explained, with a focus on how it can be used for IoT, LPWANs, and 5G applications. - Applications from the healthcare and industrial sectors are presented. - Guidance on the design of applications and the selection of appropriate technologies is provided.
Book Synopsis Using Traditional Design Methods to Enhance AI-Driven Decision Making by : Nguyen, Tien V. T.
Download or read book Using Traditional Design Methods to Enhance AI-Driven Decision Making written by Nguyen, Tien V. T. and published by IGI Global. This book was released on 2024-01-10 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the rapidly evolving landscape of industrial activities, artificial intelligence (AI) has emerged as a powerful force driving transformative change. Among its many applications, AI has proven to be instrumental in reducing processing costs associated with optimization challenges. The intersection of AI with optimization and multi-criteria decision making (MCDM) techniques has led to practical solutions in diverse fields such as manufacturing, transportation, finance, economics, and artificial intelligence. Using Traditional Design Methods to Enhance AI-Driven Decision Making delves into a wide array of topics related to optimization, decision-making, and their applications. Drawing on foundational contributions, system developments, and innovative techniques, the book explores the synergy between traditional design methods and AI-driven decision-making approaches. The book is ideal for higher education faculty and administrators, students of higher education, librarians, researchers, graduate students, and academicians. Contributors are invited to explore a wide range of topics, including the role of AI-driven decision-making in leadership, trends in AI-driven decision-making in Industry 5.0, applications in various industries such as manufacturing, transportation, healthcare, and banking services, as well as AI-driven optimization in mechanical engineering and materials.
Book Synopsis AI-Driven Innovations in Digital Healthcare: Emerging Trends, Challenges, and Applications by : Khang, Alex
Download or read book AI-Driven Innovations in Digital Healthcare: Emerging Trends, Challenges, and Applications written by Khang, Alex and published by IGI Global. This book was released on 2024-02-09 with total page 393 pages. Available in PDF, EPUB and Kindle. Book excerpt: Within the healthcare sector, a pressing need for transformative changes is growing. From chronic diseases to complex diagnostic procedures, the industry stands at the crossroads of technological innovation and a burgeoning demand for more efficient, precise interventions. Patient expectations are soaring, and the deluge of medical data is overwhelming traditional healthcare systems. It is within this challenging environment that AI-Driven Innovations in Digital Healthcare: Emerging Trends, Challenges, and Applications emerges as a beacon of insight and practical solutions. The traditional healthcare framework is struggling to keep pace with the diverse demands of patients and the ever-expanding volume of medical data. As diseases become more intricate, attempts to provide timely identification and precise treatment of ailments become increasingly elusive. The urgency for a paradigm shift in healthcare delivery is emphasized by the critical need for early interventions, particularly in disease prediction. This challenge necessitates a holistic approach that harnesses the power of artificial intelligence (AI) and innovative technologies to steer healthcare toward a more responsive and patient-centric future.
Book Synopsis Advances in Functionalized Polymer Nanocomposites by : Gautam Patel
Download or read book Advances in Functionalized Polymer Nanocomposites written by Gautam Patel and published by Elsevier. This book was released on 2024-07-17 with total page 1122 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Functionalized Polymer Nanocomposites: From Synthesis to Applications presents a detailed review on the synthesis, fundamental chemistry, properties, and applications of these high-performance materials. The introductory chapter provides a brief overview of the various types of organic and inorganic nanofillers used for the synthesis of polymer nanocomposites. Emphasis is placed on their fundamental chemistry, processing methods, functionalization and/or surface modification strategies. The dispersion state and their specific interaction with polymer matrices is also discussed in detail, as well as characterization techniques for functionalized nanofillers and functionalized polymer nanocomposites, and their properties, and applications. The book will be a valuable reference source for scientists, engineers, and postgraduate students, working in the field of polymer science and technology, materials science and engineering, composites, and nanocomposites. - Covers fabrication, processing, characterization, and properties of various functionalized polymer nanocomposites - Explores usage in energy storage systems, biomedical fields, environmental remediation, catalysis, gas sensing, biosensing, and electromagnetic interference (EMI) shielding - Provides information on lifecycle assessment and environmental and health impacts of these materials
Book Synopsis Resilient Hybrid Electronics for Extreme/Harsh Environments by : Amanda Schrand
Download or read book Resilient Hybrid Electronics for Extreme/Harsh Environments written by Amanda Schrand and published by CRC Press. This book was released on 2024-06-06 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: The success of future innovative technology relies upon a community with a shared vision. Here, we present an overview of the latest technological progress in the field of printed electronics for use in harsh or extreme environments. Each chapter unlocksscientific and engineering discoveries that will undoubtedly lead to progression from proof of concept to device creation. The main topics covered in this book include some of the most promising materials, methods, and the ability to integrate printed materials with commercial components to provide the basis for the next generation of electronics that are dubbed “survivable” in environments with high g‐orces, corrosion, vibration, and large temperature fluctuations. A wide variety of materials are discussed that contribute to robust hybrid electronics, including printable conductive composite inks, ceramics and ceramic matrix composites, polymer‐erived ceramics, thin metal films, elastomers, solders and epoxies, to name a few. Collectively, these materials and associated components are used to construct conductive traces, interconnects, antennas, pressure sensors, temperature sensors, power inducting devices, strain sensors and gauges, soft actuators, supercapacitors, piezo ionic elements, resistors, waveguides, filters, electrodes, batteries, various detectors, monitoring devices, transducers, and RF systems and graded dielectric, or graded index (GRIN) structures. New designs that incorporate the electronics as embedded materials into channels, slots and other methods to protect the electronics from the extreme elements of the operational environment are also envisioned to increase their survivability while remaining cognizant of the required frequency of replacement, reapplication and integration of power sources. Lastly, the ability of printer manufacturers, software providers and users to work together to build multi‐axis, multi‐material and commercial‐off‐the‐shelf (COTS) integration into user‐friendly systems will be a great advancement for the field of printed electronics. Therefore, the blueprint for manufacturing resilient hybrid electronics consists of novel designs that exploit the benefits of advances in additive manufacturing that are then efficiently paired with commercially available components to produce devices that exceed known constraints. As a primary example, metals can be deposited onto polymers in a variety of ways, including aerosol jetting, microdispensing, electroplating, sintering, vacuum deposition, supersonic beam cluster deposition, and plasma‐based techniques, to name a few. Taking these scientific discoveries and creatively combining them into robotic, multi‐material factories of the future could be one shared aim of the printed electronics community toward survivable device creation.
Book Synopsis Artificial Intelligence Enabled Signal Processing based Models for Neural Information Processing by : Rajesh Kumar Tripathy
Download or read book Artificial Intelligence Enabled Signal Processing based Models for Neural Information Processing written by Rajesh Kumar Tripathy and published by CRC Press. This book was released on 2024-06-06 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book provides details regarding the application of various signal processing and artificial intelligence-based methods for electroencephalography data analysis. It will help readers in understanding the use of electroencephalography signals for different neural information processing and cognitive neuroscience applications. The book: Covers topics related to the application of signal processing and machine learning-based techniques for the analysis and classification of electroencephalography signals Presents automated methods for detection of neurological disorders and other applications such as cognitive task recognition, and brain-computer interface Highlights the latest machine learning and deep learning methods for neural signal processing Discusses mathematical details for the signal processing and machine learning algorithms applied for electroencephalography data analysis Showcases the detection of dementia from electroencephalography signals using signal processing and machine learning-based techniques It is primarily written for senior undergraduates, graduate students, and researchers in the fields of electrical engineering, electronics and communications engineering, and biomedical engineering.
Book Synopsis Handbook of Formal Optimization by : Anand J. Kulkarni
Download or read book Handbook of Formal Optimization written by Anand J. Kulkarni and published by Springer Nature. This book was released on with total page 1406 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Agriculture and Aquaculture Applications of Biosensors and Bioelectronics by : Khang, Alex
Download or read book Agriculture and Aquaculture Applications of Biosensors and Bioelectronics written by Khang, Alex and published by IGI Global. This book was released on 2024-01-22 with total page 598 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, the advent of biosensors and bioelectronics has facilitated the swift and precise detection of numerous biomolecules or pathogens in animal samples, aquatic habitats, and plants. These technologies have emerged as potent assets for the agriculture and aquaculture industries. Many experts have raised the question; how might the integration of biosensors into portable devices or automated monitoring systems enable on-site and real-time detection of diverse biomolecules or pathogens? Agriculture and Aquaculture Applications of Biosensors and Bioelectronics presents the recent developments in biological recognition elements, transducer materials, and signal processing techniques for biosensors and bioelectronics used in agriculture and aquaculture applications. Sophisticated biosensors and bioelectronics operate through the immobilization of biological recognition components—such as enzymes or antibodies—on a transducer surface. This immobilization process allows for the targeted recognition and binding of biomolecules or pathogens. The resulting electrical, optical, or chemical changes triggered by the recognition event are quantifiable through various methods and are often enhanced by applications utilizing artificial intelligence (AI). The necessity for high sensitivity and selectivity, the optimization of biocompatibility and stability, and the integration of biosensors with AI-aided solutions are just some of the challenges and opportunities in developing biosensors for high-tech agriculture and aquaculture. This book targets a mixed audience of biotechnology engineers, biosensors scientists, bioelectronics researchers, high-tech agriculture analysts, Ph.D. scholars, researchers, academics, professionals, engineers, and students.
Book Synopsis Machine Learning Applications in Civil Engineering by : Kundan Meshram
Download or read book Machine Learning Applications in Civil Engineering written by Kundan Meshram and published by Elsevier. This book was released on 2023-09-29 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning Applications in Civil Engineering discusses machine learning and deep learning models for different civil engineering applications. These models work for stochastic methods wherein internal processing is done using randomized prototypes. The book explains various machine learning model designs that will assist researchers to design multi domain systems with maximum efficiency. It introduces Machine Learning and its applications to different Civil Engineering tasks, including Basic Machine Learning Models for data pre-processing, models for data representation, classification models for Civil Engineering Applications, Bioinspired Computing models for Civil Engineering, and their case studies. Using this book, civil engineering students and researchers can deep dive into Machine Learning, and identify various solutions to practical Civil Engineering tasks. - Introduces various ML models for Civil Engineering Applications that will assist readers in their analysis of design and development interfaces for building these applications - Reviews different lacunas and challenges in current models used for Civil Engineering scenarios - Explores designs for customized components for optimum system deployment - Explains various machine learning model designs that will assist researchers to design multi domain systems with maximum efficiency
Book Synopsis Intelligent Data Engineering and Analytics by : Vikrant Bhateja
Download or read book Intelligent Data Engineering and Analytics written by Vikrant Bhateja and published by Springer Nature. This book was released on 2023-11-25 with total page 633 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents the proceedings of the 11th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2023), held at Cardiff School of Technologies, Cardiff Metropolitan University, Cardiff, Wales, UK, during April 11–12, 2023. Researchers, scientists, engineers, and practitioners exchange new ideas and experiences in the domain of intelligent computing theories with prospective applications in various engineering disciplines in the book. This book is divided into two volumes. It covers broad areas of information and decision sciences, with papers exploring both the theoretical and practical aspects of data-intensive computing, data mining, evolutionary computation, knowledge management and networks, sensor networks, signal processing, wireless networks, protocols, and architectures. This book is a valuable resource for postgraduate students in various engineering disciplines.
