Cognitive Radio-Oriented Wireless Networks PDF Download

Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Cognitive Radio-Oriented Wireless Networks PDF full book. Access full book title Cognitive Radio-Oriented Wireless Networks by Adrian Kliks. Download full books in PDF and EPUB format.

Cognitive Radio-Oriented Wireless Networks

Cognitive Radio-Oriented Wireless Networks PDF Author: Adrian Kliks
Publisher: Springer
ISBN: 3030257487
Category : Computers
Languages : en
Pages : 410

Book Description
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.

Cognitive Radio-Oriented Wireless Networks

Cognitive Radio-Oriented Wireless Networks PDF Author: Adrian Kliks
Publisher: Springer
ISBN: 3030257487
Category : Computers
Languages : en
Pages : 410

Book Description
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.

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 PDF Author: Marcin Woźniak
Publisher: MDPI
ISBN: 3036512683
Category : Technology & Engineering
Languages : en
Pages : 454

Book Description
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 –

Machine Learning Techniques for Assistive Robotics

Machine Learning Techniques for Assistive Robotics PDF Author: Miguel Angel Cazorla Quevedo
Publisher: MDPI
ISBN: 3039363387
Category : Technology & Engineering
Languages : en
Pages : 210

Book Description
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.

Parallel Problem Solving from Nature – PPSN XVI

Parallel Problem Solving from Nature – PPSN XVI PDF Author: Thomas Bäck
Publisher: Springer Nature
ISBN: 3030581128
Category : Computers
Languages : en
Pages : 753

Book Description
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.

Integration of Electric Vehicles and Battery Storage Systems

Integration of Electric Vehicles and Battery Storage Systems PDF Author: Hrvoje Pandžić
Publisher: MDPI
ISBN: 3036501789
Category : Technology & Engineering
Languages : en
Pages : 238

Book Description
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.

Smart Sensors for Healthcare and Medical Applications

Smart Sensors for Healthcare and Medical Applications PDF Author: Domenico Formica
Publisher: MDPI
ISBN: 3036506500
Category : Technology & Engineering
Languages : en
Pages : 432

Book Description
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.

Computational Intelligence for Machine Learning and Healthcare Informatics

Computational Intelligence for Machine Learning and Healthcare Informatics PDF Author: Rajshree Srivastava
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110649276
Category : Computers
Languages : en
Pages : 414

Book Description
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.

Assistance Robotics and Biosensors

Assistance Robotics and Biosensors PDF Author: Fernando Torres
Publisher: MDPI
ISBN: 3038973947
Category : Technology & Engineering
Languages : en
Pages : 205

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

Proceedings of the 11th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2019)

Proceedings of the 11th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2019) PDF Author: Ajith Abraham
Publisher: Springer Nature
ISBN: 3030493458
Category : Technology & Engineering
Languages : en
Pages : 323

Book Description
This book highlights recent research on soft computing, pattern recognition and biologically inspired computing. It presents 24 selected papers from the 11th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2019) and 5 papers from the 11th World Congress on Nature and Biologically Inspired Computing (NaBIC 2019), held at Vardhaman College of Engineering, Hyderabad, India, on December 13–15, 2019. SoCPaR–NaBIC is a premier conference and brings together researchers, engineers and practitioners whose work involves soft computing and bio-inspired computing, as well as their industrial and real-world applications. Including contributions by authors from 15 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of Computer Science and Engineering.

Human-Machine Interface

Human-Machine Interface PDF Author: Rishabha Malviya
Publisher: John Wiley & Sons
ISBN: 1394199910
Category : Computers
Languages : en
Pages : 532

Book Description
HUMAN-MACHINE INTERFACE The book contains the latest advances in healthcare and presents them in the frame of the Human-Machine Interface (HMI). The Human-Machine Interface (HMI) industry has witnessed the evolution from a simple push button to a modern touch-screen display. HMI is a user interface that allows humans to operate controllers for machines, systems, or instruments. Most medical procedures are improved by HMI systems, from calling an ambulance to ensuring that a patient receives adequate treatment on time. This book describes the scenario of biomedical technologies in the context of the advanced HMI, with a focus on direct brain-computer connection. The book describes several HMI tools and related techniques for analyzing, creating, controlling, and upgrading healthcare delivery systems, and provides details regarding how advancements in technology, particularly HMI, ensure ethical and fair use in patient care. Audience The target audience for this book is medical personnel and policymakers in healthcare and pharmaceutical professionals, as well as engineers and researchers in computer science and artificial intelligence.