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This book aims to introduce recent advances in IoT and its applications for smart environments. The state of the art is reviewed with a focus on the technologies, applications, challenges, and opportunities. At this stage, a comprehensive understanding of the formal and practical applications of IoT in the different scenarios of smart environments is necessary to support future research. Therefore, the main contribution of this book is a comprehensive study of the most recent proposals for smart environments. In addition, this book synthesizes existing information and highlights common threads and gaps that lead to new and complex areas of future research. The book covers a range of major research subjects which will foster future implementations. The topics include smart learning environments, crowdsensing applications, participatory citizen sensing, multimodal perception systems and security challenges. This book seeks to provide a valuable framework for future research projects by expounding the topic to academics, engineers, and industry professionals, which is necessary for the design of future IoT architectures for smart environments. Merges the two trending engineering disciplines of Internet of Things and Smart Environments; Provides an overview of crowdsensing, participatory sensing, and multimodal perception systems; Useful for researchers, designers, engineers, and practitioners in smart environments and IoT.

Telecommunication technology --- Mass communications --- Computer architecture. Operating systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- neuronale netwerken --- fuzzy logic --- cybernetica --- IoT (Internet of Things) --- tekstverwerking --- algoritmen --- KI (kunstmatige intelligentie) --- communicatietechnologie

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The great advances in information technology (IT) have implications for many sectors, such as bioinformatics, and has considerably increased their possibilities. This book presents a collection of 11 original research papers, all of them related to the application of IT-related techniques within the bioinformatics sector: from new applications created from the adaptation and application of existing techniques to the creation of new methodologies to solve existing problems.

Technology: general issues --- machine learning --- metagenomics --- bioinformatics --- CTX-M --- data mining --- cluster --- clinical implications --- diabetes --- epidemiology --- forecast --- PART --- Decision table --- Weka --- real-life patients --- regression --- ear detection --- computer vision --- convolutional neural network --- image recognition --- video analysis --- gene clustering --- swarm intelligence --- biological functions detection --- informative genes --- fuel cell --- hydrogen energy --- intelligent systems --- hybrid systems --- Artificial Neural Networks --- power management --- Machine Learning --- personality assessment --- gradient boosting --- Affective Computing --- transposable elements --- metrics --- deep learning --- detection --- classification --- mitochondrial protein --- bi-directional LSTM --- plasmodium falciparum --- Particle Swarm Optimization --- Harmony Search --- parameter estimation --- Arabidopsis thaliana --- clinical data --- feature selection --- genetic programming --- evolutionary computation --- dynamic models --- evolutionary computing --- derivative-free optimization --- metabolism --- glycolysis --- yeast

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The great advances in information technology (IT) have implications for many sectors, such as bioinformatics, and has considerably increased their possibilities. This book presents a collection of 11 original research papers, all of them related to the application of IT-related techniques within the bioinformatics sector: from new applications created from the adaptation and application of existing techniques to the creation of new methodologies to solve existing problems.

Technology: general issues --- machine learning --- metagenomics --- bioinformatics --- CTX-M --- data mining --- cluster --- clinical implications --- diabetes --- epidemiology --- forecast --- PART --- Decision table --- Weka --- real-life patients --- regression --- ear detection --- computer vision --- convolutional neural network --- image recognition --- video analysis --- gene clustering --- swarm intelligence --- biological functions detection --- informative genes --- fuel cell --- hydrogen energy --- intelligent systems --- hybrid systems --- Artificial Neural Networks --- power management --- Machine Learning --- personality assessment --- gradient boosting --- Affective Computing --- transposable elements --- metrics --- deep learning --- detection --- classification --- mitochondrial protein --- bi-directional LSTM --- plasmodium falciparum --- Particle Swarm Optimization --- Harmony Search --- parameter estimation --- Arabidopsis thaliana --- clinical data --- feature selection --- genetic programming --- evolutionary computation --- dynamic models --- evolutionary computing --- derivative-free optimization --- metabolism --- glycolysis --- yeast --- machine learning --- metagenomics --- bioinformatics --- CTX-M --- data mining --- cluster --- clinical implications --- diabetes --- epidemiology --- forecast --- PART --- Decision table --- Weka --- real-life patients --- regression --- ear detection --- computer vision --- convolutional neural network --- image recognition --- video analysis --- gene clustering --- swarm intelligence --- biological functions detection --- informative genes --- fuel cell --- hydrogen energy --- intelligent systems --- hybrid systems --- Artificial Neural Networks --- power management --- Machine Learning --- personality assessment --- gradient boosting --- Affective Computing --- transposable elements --- metrics --- deep learning --- detection --- classification --- mitochondrial protein --- bi-directional LSTM --- plasmodium falciparum --- Particle Swarm Optimization --- Harmony Search --- parameter estimation --- Arabidopsis thaliana --- clinical data --- feature selection --- genetic programming --- evolutionary computation --- dynamic models --- evolutionary computing --- derivative-free optimization --- metabolism --- glycolysis --- yeast

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This book brings together past experience, current work and promising future trends associated with distributed computing, artificial intelligence and their application in order to provide efficient solutions to real problems. DCAI 2020 is a forum to present applications of innovative techniques for studying and solving complex problems in artificial intelligence and computing areas. This year’s technical program will present both high quality and diversity, with contributions in well-established and evolving areas of research. Specifically, 83 papers were submitted to main track and special sessions, by authors from 26 different countries representing a truly “wide area network” of research activity. The DCAI’20 technical program has selected 35 papers and, as in past editions, it will be special issues in ranked journals. This symposium is organized by the University of L'Aquila (Italy). We would like to thank all the contributing authors, the members of the Program Committee and the sponsors (IBM, Armundia Group, EurAI, AEPIA, APPIA, CINI, OIT, UGR, HU, SCU, USAL, AIR Institute and UNIVAQ). .

Computational intelligence. --- Artificial intelligence. --- Computational Intelligence. --- Artificial Intelligence. --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Distributed processing

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This book constitutes the refereed proceedings of the International Workshops on Highlights in Practical Applications of Agents, Multi-Agent Systems, and Cognitive Mimetics. The PAAMS Collection, PAAMS 2023, held in Guimaraes, Portugal, during July 12–14, 2023. The 14 full papers included in this book were carefully reviewed and selected from 26 submissions. They were organized in topical sections as follows: provides a unique opportunity to bring multi-disciplinary experts, academics, and practitioners together to exchange their experience in the development of agents and multi-agent systems.

Artificial intelligence. --- Computer engineering. --- Computer networks. --- Image processing—Digital techniques. --- Computer vision. --- Software engineering. --- Education—Data processing. --- Social sciences—Data processing. --- Artificial Intelligence. --- Computer Engineering and Networks. --- Computer Imaging, Vision, Pattern Recognition and Graphics. --- Software Engineering. --- Computers and Education. --- Computer Application in Social and Behavioral Sciences. --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Data transmission systems --- Digital communications --- Electronic systems --- Information networks --- Telecommunication --- Cyberinfrastructure --- Electronic data processing --- Network computers --- Computers --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Computer software engineering --- Engineering --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Pattern recognition systems --- Distributed processing --- Design and construction