04448nam 22007215 450 991025433000332120200630175459.010.1007/978-3-319-50920-4(CKB)3710000001095333(DE-He213)978-3-319-50920-4(MiAaPQ)EBC4820330(PPN)199768633(EXLCZ)99371000000109533320170308d2017 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierNature-Inspired Computing and Optimization Theory and Applications /edited by Srikanta Patnaik, Xin-She Yang, Kazumi Nakamatsu1st ed. 2017.Cham :Springer International Publishing :Imprint: Springer,2017.1 online resource (XXI, 494 p. 191 illus., 43 illus. in color.) Modeling and Optimization in Science and Technologies,2196-7326 ;103-319-50919-5 3-319-50920-9 Includes bibliographical references at the end of each chapters.From the content: The Nature of Nature: Why Nature Inspired Algorithms Work -- Improved Bat Algorithm in Noise-Free and Noisy Environments -- Multi-objective Ant Colony Optimisation in Wireless Sensor Networks.le.The book provides readers with a snapshot of the state of the art in the field of nature-inspired computing and its application in optimization. The approach is mainly practice-oriented: each bio-inspired technique or algorithm is introduced together with one of its possible applications. Applications cover a wide range of real-world optimization problems: from feature selection and image enhancement to scheduling and dynamic resource management, from wireless sensor networks and wiring network diagnosis to sports training planning and gene expression, from topology control and morphological filters to nutritional meal design and antenna array design. There are a few theoretical chapters comparing different existing techniques, exploring the advantages of nature-inspired computing over other methods, and investigating the mixing time of genetic algorithms. The book also introduces a wide range of algorithms, including the ant colony optimization, the bat algorithm, genetic algorithms, the collision-based optimization algorithm, the flower pollination algorithm, multi-agent systems and particle swarm optimization. This timely book is intended as a practice-oriented reference guide for students, researchers and professionals.Modeling and Optimization in Science and Technologies,2196-7326 ;10Computational intelligenceMathematical optimizationArtificial intelligenceComputer simulationEngineering economyEngineering economyComputational Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/T11014Optimizationhttps://scigraph.springernature.com/ontologies/product-market-codes/M26008Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Simulation and Modelinghttps://scigraph.springernature.com/ontologies/product-market-codes/I19000Engineering Economics, Organization, Logistics, Marketinghttps://scigraph.springernature.com/ontologies/product-market-codes/T22016Computational intelligence.Mathematical optimization.Artificial intelligence.Computer simulation.Engineering economy.Engineering economy.Computational Intelligence.Optimization.Artificial Intelligence.Simulation and Modeling.Engineering Economics, Organization, Logistics, Marketing.006.3Patnaik Srikantaedthttp://id.loc.gov/vocabulary/relators/edtYang Xin-Sheedthttp://id.loc.gov/vocabulary/relators/edtNakamatsu Kazumiedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910254330003321Nature-Inspired Computing and Optimization1948574UNINA05027nam 22007215 450 991055688620332120251225205450.03-030-99197-010.1007/978-3-030-99197-5(MiAaPQ)EBC6935549(Au-PeEL)EBL6935549(CKB)21418288700041(PPN)261519778(BIP)83608773(BIP)83379894(DE-He213)978-3-030-99197-5(EXLCZ)992141828870004120220322d2022 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierIoT Technologies for Health Care 8th EAI International Conference, HealthyIoT 2021, Virtual Event, November 24-26, 2021, Proceedings /edited by Susanna Spinsante, Bruno Silva, Rossitza Goleva1st ed. 2022.Cham :Springer International Publishing :Imprint: Springer,2022.1 online resource (232 pages)Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,1867-822X ;432Print version: Spinsante, Susanna IoT Technologies for Health Care Cham : Springer International Publishing AG,c2022 9783030991968 Includes bibliographical references and index.Security and Privacy -- Software and application security -- Non-intrusive and privacy preserving activity recognition system for infants exploiting smart toys -- Human-centered Computing - Ubiquitous and mobile computing -- Co-design the acceptability of Wearables in the Healthcare field -- Evaluations on Pending Regulation on Ethical Review Measures for Biomedical Research Involving Human Subjects and Artificial Intelligence -- Integration of Wearable, Persuasive, and Multimedia Design Principles in Enhancing Depression Awareness: A Conceptual Mode -- Information Systems – Information retrieval -- A Comparative Study of Data Mining Techniques applied to Renal-Cell Carcinomas -- Predicting Diabetes Disease in the Female Adult Population, using Data Mining -- Not Just A Matter of Accuracy: A fNIRS Pilot Study into Discrepancy between Sleep Data and Subjective Sleep Experience in Quantified-Self Sleep Tracking -- Detection of Diabetic Retinopathy Using CNN -- Pulp Stone Detection Using Deep Learning Techniques -- Identification of Drug-Drug Interactions Using OCR -- Applied computing - Physical sciences and engineering -- Patients behaviour monitoring inside a hospital garden: comparison between RADAR and GPS solutions -- IoT-Enabled Analysis of Subjective Sound Quality Perception Based on Out-of-Lab Physiological Measurements -- CS-Based Decomposition of Acoustic Stimuli-Driven GSR Peaks Sensed by an IoT-Enabled Wearable GAIToe: Gait Analysis Utilizing an IMU for Toe Walking Detection and Intervention -- Applied computing – Life and Medical sciences 16 Prediction of Conversion to Alzheimer’s Disease using 3D-DWT and PCA -- DIY Wrist-Worn Device for Physiological Monitoring: Metrological Evaluation at Different Band Tightening Levels.This proceedings constitutes the refereed proceedings of the 8th International Conference on IoT Technologies for Healthcare, HealthyIoT 2021, held in November 2021. Due to COVID-19 pandemic the conference was held virtually. The 17 full papers presented were carefully selected from 40 submissions. The papers are organized in topical sections on security and privacy - software and application security; human-centered computing - ubiquitous and mobile computing; information systems – information retrieval; applied computing - physical sciences and engineering; applied computing – life and medical sciences.Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,1867-822X ;432Medical informaticsApplication softwareArtificial intelligenceComputer engineeringComputer networksHealth InformaticsComputer and Information Systems ApplicationsArtificial IntelligenceComputer Engineering and NetworksMedical informatics.Application software.Artificial intelligence.Computer engineering.Computer networks.Health Informatics.Computer and Information Systems Applications.Artificial Intelligence.Computer Engineering and Networks.610.285610.2854678Goleva Rossitza I.Silva BrunoSpinsante SusannaMiAaPQMiAaPQMiAaPQBOOK9910556886203321IoT technologies for health care2962415UNINA