LEADER 01576oam 2200385 450 001 9910713524703321 005 20200930075215.0 035 $a(CKB)5470000002502419 035 $a(OCoLC)1197780764 035 $a(EXLCZ)995470000002502419 100 $a20200925d2020 ua 0 101 0 $aspa 135 $aurbn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aGui?a sobre la preparacion? de los trabajadores de los hogares de ancianos y centros de atencio?n a largo plazo para el virus COVID-19 210 1$a[Washington, D.C.] :$cAdministracio?n de Seguridad y Salud Ocupacional,$d2020. 215 $a1 online resource (1 unnumbered page) 225 1 $aAviso de OSHA 300 $a"OSHA 4026-05 2020." 606 $aNursing homes$xEmployees$xHealth and hygiene$zUnited States 606 $aLong-term care facilities$xEmployees$xHealth and hygiene$zUnited States 606 $aCOVID-19 (Disease)$xTransmission$zUnited States$xPrevention 615 0$aNursing homes$xEmployees$xHealth and hygiene 615 0$aLong-term care facilities$xEmployees$xHealth and hygiene 615 0$aCOVID-19 (Disease)$xTransmission$xPrevention. 712 02$aUnited States.$bOccupational Safety and Health Administration, 801 0$bGPO 801 1$bGPO 801 2$bGPO 906 $aBOOK 912 $a9910713524703321 996 $aGui?a sobre la preparacion? de los trabajadores de los hogares de ancianos y centros de atencio?n a largo plazo para el virus COVID-19$93460373 997 $aUNINA LEADER 04398nam 22005415 450 001 9910831005303321 005 20240322013333.0 010 $a3-031-47508-9 024 7 $a10.1007/978-3-031-47508-5 035 $a(MiAaPQ)EBC31098182 035 $a(Au-PeEL)EBL31098182 035 $a(MiAaPQ)EBC31132626 035 $a(Au-PeEL)EBL31132626 035 $a(DE-He213)978-3-031-47508-5 035 $a(CKB)30182181000041 035 $a(EXLCZ)9930182181000041 100 $a20240131d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in Computational Intelligence Systems $eContributions Presented at the 22nd UK Workshop on Computational Intelligence (UKCI 2023), September 6?8, 2023, Birmingham, UK /$fedited by Nitin Naik, Paul Jenkins, Paul Grace, Longzhi Yang, Shaligram Prajapat 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (666 pages) 225 1 $aAdvances in Intelligent Systems and Computing,$x2194-5365 ;$v1453 311 08$aPrint version: Naik, Nitin Advances in Computational Intelligence Systems Cham : Springer International Publishing AG,c2024 9783031475078 327 $aTowards Reinforcement Learning for Non-Stationary Environments -- Detection of Cyberbullying on Social Media Platforms using Machine Learning -- The Changing Landscape of Machine Learning: A Comparative Analysis of Centralized Machine Learning, Distributed Machine Learning and Federated Machine Learning -- Privacy and Security Landscape of Metaverse -- Strategies to Apply Genetic Programming Directly to the Traveling Salesman Problem -- A Comparative Analysis of GPT-3 and BERT Models for Text-based Emotion Recognition: Performance, Efficiency, and Robustness -- An Intrusion Detection System using the XGBoost Algorithm for SDVN -- Hybridizing L´evy Flights and Cartesian Genetic Programming for Learning Swarm-based Optimization -- An Evaluation of Handwriting Digit Recognition using Multilayer SAM Spiking Neural Network -- Towards Accurate Rainfall Volume Prediction: An Initial Approach with Deep Learning, Advanced Feature Selection, Parameter Optimisation, and Ensemble Techniques for Time-SeriesForecasting. 330 $aThis book comprises the papers presented at the 22nd UK Workshop on Computational Intelligence (UKCI 2023), held at Aston University, Birmingham, the UK, during 6 to 8 September 2023. UKCI is the flagship AI conference of the UK and Europe held annually. In UKCI 2023, a total of 63 papers were received from 11 countries including the UK, India, Germany, China, Japan, Australia, Italy, Thailand, Turkey, Jordan and Saudi Arabia; of these, 50 were accepted for presentation. The review process was rigorous, wherein three reviews were provided for all papers, with some having four reviews. This book highlights the latest research developments in computational intelligence and its applications. It covers both conventional and advanced techniques in fuzzy systems, neural networks, evolutionary computation, machine learning, deep learning, federated learning, data mining, cognitive computing, intelligent robotics, optimization methods, hybrid methods, and applications of computational intelligence. The book offers a valuable reference guide for readers with expertise in computational intelligence or who are seeking a comprehensive and timely review of the latest trends in computational intelligence. Special emphasis is placed on novel methods and their use in a wide range of application areas, updating both academics and professionals on the state of the art. 410 0$aAdvances in Intelligent Systems and Computing,$x2194-5365 ;$v1453 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aComputational Intelligence 606 $aArtificial Intelligence 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 676 $a006.3 702 $aNaik$b Nitin 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910831005303321 996 $aAdvances in Computational Intelligence Systems$91939096 997 $aUNINA