Cognitive Radio-Oriented Wireless Networks
Cognitive Radio-Oriented Wireless Networks

Author: Adrian Kliks

Publisher: Springer

Published: 2019-08-10

Total Pages: 417

ISBN-13: 3030257487

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This book constitutes the refereed proceedings of the 14th International Conference on Cognitive Radio-Oriented Wireless Networks, CROWNCOM 2019, held in Poznan, Poland, in June 2019. The 30 revised full papers were selected from 48 submissions and present a large scope of research topic also covering IoT in 5G and how cognitive mechanisms shall help leveraging access for numerous devices; mmWave and how specific propagation and operation in these bands bring new sharing mechanisms ; how resource allocation amongst bands (including offload mechanisms) shall be solved. The key focus will be on how rich data analysis can improve the delivery of above defined services.

Integration of Electric Vehicles and Battery Storage Systems
Integration of Electric Vehicles and Battery Storage Systems

Author: Hrvoje Pandžić

Publisher: MDPI

Published: 2021-04-22

Total Pages: 238

ISBN-13: 3036501789

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Achieving the goal of green and environmentally friendly energy systems is not possible without the concept of energy storage. Such storage should charge when renewable generation, e.g., photovoltaics and wind farms, is abundant and discharge during periods of its scarcity. Although pumped hydropower plants have been widely used as extremely large capacity energy storage, the recent technological developments in lithium-based batteries have made them economically feasible. The major advantages of batteries over a conventional energy storage system, i.e., hydropower, include its modularity and ease of integration with the transport system. This Special Issue is thus focused on both stationary batteries and mobile batteries in electric vehicles. Both should be used to provide flexibility and balancing services to power systems. While stationary batteries are focused solely on the power system, the batteries within electric vehicles need to primarily fulfill the task of providing energy for transportation. This is why their use in power systems is secondary. However, due to generally long parking periods, they can become a detrimental asset in terms of balancing the power system.

Advanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments
Advanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments

Author: Marcin Woźniak

Publisher: MDPI

Published: 2021-09-01

Total Pages: 454

ISBN-13: 3036512683

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Recent years have seen a vast development in various methodologies for object detection and feature extraction and recognition, both in theory and in practice. When processing images, videos, or other types of multimedia, one needs efficient solutions to perform fast and reliable processing. Computational intelligence is used for medical screening where the detection of disease symptoms is carried out, in prevention monitoring to detect suspicious behavior, in agriculture systems to help with growing plants and animal breeding, in transportation systems for the control of incoming and outgoing transportation, for unmanned vehicles to detect obstacles and avoid collisions, in optics and materials for the detection of surface damage, etc. In many cases, we use developed techniques which help us to recognize some special features. In the context of this innovative research on computational intelligence, the Special Issue “Advanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments” present an excellent opportunity for the dissemination of recent results and achievements for further innovations and development. It is my pleasure to present this collection of excellent contributions to the research community. - Prof. Marcin Woźniak, Silesian University of Technology, Poland –

Computational Intelligence for Machine Learning and Healthcare Informatics
Computational Intelligence for Machine Learning and Healthcare Informatics

Author: Rajshree Srivastava

Publisher: Walter de Gruyter GmbH & Co KG

Published: 2020-06-22

Total Pages: 424

ISBN-13: 3110649276

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This book presents a variety of techniques designed to enhance and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. It is intended to provide a unique compendium of current and emerging machine learning paradigms for healthcare informatics, reflecting the diversity, complexity, and depth and breadth of this multi-disciplinary area.

Machine Learning Techniques for Assistive Robotics
Machine Learning Techniques for Assistive Robotics

Author: Miguel Angel Cazorla Quevedo

Publisher: MDPI

Published: 2020-12-10

Total Pages: 210

ISBN-13: 3039363387

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Assistive robots are categorized as robots that share their area of work and interact with humans. Their main goals are to help, assist, and monitor humans, especially people with disabilities. To achieve these goals, it is necessary that these robots possess a series of characteristics, namely the abilities to perceive their environment from their sensors and act consequently, to interact with people in a multimodal manner, and to navigate and make decisions autonomously. This complexity demands computationally expensive algorithms to be performed in real time. The advent of high-end embedded processors has enabled several such algorithms to be processed concurrently and in real time. All these capabilities involve, to a greater or less extent, the use of machine learning techniques. In particular, in the last few years, new deep learning techniques have enabled a very important qualitative leap in different problems related to perception, navigation, and human understanding. In this Special Issue, several works are presented involving the use of machine learning techniques for assistive technologies, in particular for assistive robots.

Assistance Robotics and Biosensors
Assistance Robotics and Biosensors

Author: Fernando Torres

Publisher: MDPI

Published: 2018-11-29

Total Pages: 205

ISBN-13: 3038973947

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This book is a printed edition of the Special Issue "Assistance Robotics and Biosensors" that was published in Sensors

Smart Sensors for Healthcare and Medical Applications
Smart Sensors for Healthcare and Medical Applications

Author: Domenico Formica

Publisher: MDPI

Published: 2021-09-01

Total Pages: 432

ISBN-13: 3036506500

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This book focuses on new sensing technologies, measurement techniques, and their applications in medicine and healthcare. Specifically, the book briefly describes the potential of smart sensors in the aforementioned applications, collecting 24 articles selected and published in the Special Issue “Smart Sensors for Healthcare and Medical Applications”. We proposed this topic, being aware of the pivotal role that smart sensors can play in the improvement of healthcare services in both acute and chronic conditions as well as in prevention for a healthy life and active aging. The articles selected in this book cover a variety of topics related to the design, validation, and application of smart sensors to healthcare.

Parallel Problem Solving from Nature – PPSN XVI
Parallel Problem Solving from Nature – PPSN XVI

Author: Thomas Bäck

Publisher: Springer Nature

Published: 2020-09-02

Total Pages: 753

ISBN-13: 3030581128

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This two-volume set LNCS 12269 and LNCS 12270 constitutes the refereed proceedings of the 16th International Conference on Parallel Problem Solving from Nature, PPSN 2020, held in Leiden, The Netherlands, in September 2020. The 99 revised full papers were carefully reviewed and selected from 268 submissions. The topics cover classical subjects such as automated algorithm selection and configuration; Bayesian- and surrogate-assisted optimization; benchmarking and performance measures; combinatorial optimization; connection between nature-inspired optimization and artificial intelligence; genetic and evolutionary algorithms; genetic programming; landscape analysis; multiobjective optimization; real-world applications; reinforcement learning; and theoretical aspects of nature-inspired optimization.

Proceeding of 2021 International Conference on Wireless Communications, Networking and Applications
Proceeding of 2021 International Conference on Wireless Communications, Networking and Applications

Author: Zhihong Qian

Publisher: Springer Nature

Published: 2022-07-12

Total Pages: 1251

ISBN-13: 9811924562

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This open access proceedings includes original, unpublished, peer-reviewed research papers from the International Conference on Wireless Communications, Networking and Applications (WCNA2021), held in Berlin, Germany on December 17-19th, 2021. The topics covered include but are not limited to wireless communications, networking and applications.The papers showcased here share the latest findings on methodologies, algorithms and applications in communication and network, making the book a valuable asset for professors, researchers, engineers, and university students alike. This is an open access book.

Data Analytics and Applications of the Wearable Sensors in Healthcare
Data Analytics and Applications of the Wearable Sensors in Healthcare

Author: Shabbir Syed-Abdul

Publisher: MDPI

Published: 2020-06-17

Total Pages: 498

ISBN-13: 3039363506

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This book provides a collection of comprehensive research articles on data analytics and applications of wearable devices in healthcare. This Special Issue presents 28 research studies from 137 authors representing 37 institutions from 19 countries. To facilitate the understanding of the research articles, we have organized the book to show various aspects covered in this field, such as eHealth, technology-integrated research, prediction models, rehabilitation studies, prototype systems, community health studies, ergonomics design systems, technology acceptance model evaluation studies, telemonitoring systems, warning systems, application of sensors in sports studies, clinical systems, feasibility studies, geographical location based systems, tracking systems, observational studies, risk assessment studies, human activity recognition systems, impact measurement systems, and a systematic review. We would like to take this opportunity to invite high quality research articles for our next Special Issue entitled “Digital Health and Smart Sensors for Better Management of Cancer and Chronic Diseases” as a part of Sensors journal.