LEADER 02891nam 2200613Ia 450 001 9910780276503321 005 20230617012658.0 010 $a1-280-20917-8 010 $a9786610209170 010 $a0-309-50698-0 035 $a(CKB)111069351132918 035 $a(EBL)3375844 035 $a(SSID)ssj0000189275 035 $a(PQKBManifestationID)11168146 035 $a(PQKBTitleCode)TC0000189275 035 $a(PQKBWorkID)10156826 035 $a(PQKB)10019412 035 $a(MiAaPQ)EBC3375844 035 $a(Au-PeEL)EBL3375844 035 $a(CaPaEBR)ebr10046894 035 $a(OCoLC)923259329 035 $a(EXLCZ)99111069351132918 100 $a20030417d2003 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 00$aLarge-scale biomedical science$b[electronic resource] $eexploring strategies for future research /$fSharyl J. Nass and Bruce W. Stillman, editors ; Committee on Large-scale Science and Cancer Research, National Cancer Policy Board and Division on Earth and Life Studies, National Research Council 210 $aWashington, DC $cNational Academies Press$dc2003 215 $a1 online resource (297 p.) 300 $aDescription based upon print version of record. 311 $a0-309-08912-3 320 $aIncludes bibliographical references. 327 $a""Front matter""; ""Acronyms""; ""Contents""; ""Executive Summary""; ""1 Introduction""; ""2 Defining "Large-Scale Science" in Biomedical Research""; ""3 Models of Large-Scale Science""; ""4 Funding for Large-Scale Science""; ""5 Organization and Management of Large-Scale Biomedical Research Projects""; ""6 Training and Career Structures in Biomedical Research""; ""7 Intellectual Property and Access to Research Tools and Data""; ""8 Findings and Recommendations""; ""References"" 327 $a""Appendix: A History of Government Funding of Basic Science Research and the Development of Big-Science Projects in the Context of High-Energy Particle Physics""""Index"" 606 $aMedicine$xResearch$xGovernment policy$zUnited States 606 $aCancer$xResearch$xGovernment policy$zUnited States 606 $aFederal aid to medical research$zUnited States 615 0$aMedicine$xResearch$xGovernment policy 615 0$aCancer$xResearch$xGovernment policy 615 0$aFederal aid to medical research 676 $a610/.7/2073 701 $aNass$b Sharyl J$0857626 701 $aStillman$b Bruce$01503346 712 02$aNational Cancer Policy Board (U.S.).$bCommittee on Large-scale Science and Cancer Research. 712 02$aNational Research Council (U.S.).$bDivision on Earth and Life Studies. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910780276503321 996 $aLarge-scale biomedical science$93731680 997 $aUNINA LEADER 05220nam 22005775 450 001 9910483050503321 005 20251113180126.0 010 $a3-030-50097-7 024 7 $a10.1007/978-3-030-50097-9 035 $a(CKB)5310000000016760 035 $a(MiAaPQ)EBC6233991 035 $a(DE-He213)978-3-030-50097-9 035 $a(PPN)248596608 035 $a(EXLCZ)995310000000016760 100 $a20200622d2020 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aProceedings of the Fourth International Scientific Conference ?Intelligent Information Technologies for Industry? (IITI?19) /$fedited by Sergey Kovalev, Valery Tarassov, Vaclav Snasel, Andrey Sukhanov 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (713 pages) 225 1 $aAdvances in Intelligent Systems and Computing,$x2194-5365 ;$v1156 311 08$a3-030-50096-9 320 $aIncludes bibliographical references and index. 327 $aNeural networks -- Adaptive Diagnosis Model of Dempster-Shafer Based on Recurrent Neural-Fuzzy Network -- The method of clearing printed and handwritten texts from noise -- Interval Signs Enlargement Algorithm in the Classication Problem of Biomedical Signals -- Age and Gender Recognition on Imbalanced Dataset of Face Images with Deep Learning -- A Complex Approach to the Data Labeling E?ciency Improvement -- Automation of Musical Compositions Synthesis Process Based on Neural Networks -- Convolutional Neural Network Application for Analysis of Fundus Images -- Approximation Methods for Monte Carlo Tree Search -- Labor intensity evaluation technique in software development process based on neural networks -- An Analysis of Convolutional Neural Network for Fashion Images Classication (Fashion-MNIST) -- Multiagent Systems -- Implementation of the real-time intelligent system based on theintegration approach -- Agent-based situational modeling and identication technological systems in conditions of uncertainty -- Features of Data Warehouse Support Based on a Search Agent and an Evolutionary Model for Innovation Information Selection -- Multi-Agent System of Knowledge Representation and Processing -- The Technique of Data Analysis Tasks Distribution in the Fog-Computing Environment -- Non-Classical Logic -- Model of the Operating Device with a Tunable Structure for the Implementation of the Accelerated Deductive Inference Method -- A Model Checking Based Approach for Verication of Attribute-Based Access Control Policies in Cloud Infrastructures. -- Detection of anomalous situations in an unforeseen increase in the duration of inference step of the agent in hard real time -- Bayesian Networks and Trust Networks, Fuzzy-Stocastical Modelling -- Protection System for a Group of Robots Based on the Detection of Anomalous Behavior -- Employees' social graph analysis: a model of detection the most criticality trajectories of the social engineering attack's spread -- An approach to quantication of relationship types between users based on the frequency of combinations of non-numeric evaluations -- Algebraic Bayesian networks: parallel algorithms for maintaining local consistency. 330 $aThis book gathers papers presented in the main track of IITI 2019, the Fourth International Scientific Conference on Intelligent Information Technologies for Industry, held in Ostrava?Prague, Czech Republic on December 2?7, 2019. The conference was jointly organized by Rostov State Transport University (Russia) and V?B ? Technical University of Ostrava (Czech Republic) with the participation of the Russian Association for Artificial Intelligence (RAAI). IITI 2019 was devoted to practical models and industrial applications of intelligent information systems. Though chiefly intended to promote the implementation of advanced information technologies in various industries, topics such as the state of the art in intelligent systems and soft computing were also discussed. 410 0$aAdvances in Intelligent Systems and Computing,$x2194-5365 ;$v1156 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 $a670.28563 676 $a658.50028563 702 $aKovalev$b Sergey$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aTarassov$b Valery$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSnasel$b Vaclav$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSukhanov$b Andrey$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483050503321 996 $aProceedings of the Fourth International Scientific Conference ?Intelligent Information Technologies for Industry? (IITI?19)$92483949 997 $aUNINA