LEADER 03192nam 22007335 450 001 9910495163603321 005 20251107152645.0 010 $a3-030-85165-6 024 7 $a10.1007/978-3-030-85165-1 035 $a(CKB)4100000011999812 035 $a(DE-He213)978-3-030-85165-1 035 $a(MiAaPQ)EBC6702867 035 $a(Au-PeEL)EBL6702867 035 $a(PPN)257350683 035 $a(EXLCZ)994100000011999812 100 $a20210814d2021 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComputer Algebra in Scientific Computing $e23rd International Workshop, CASC 2021, Sochi, Russia, September 13?17, 2021, Proceedings /$fedited by François Boulier, Matthew England, Timur M. Sadykov, Evgenii V. Vorozhtsov 205 $a1st ed. 2021. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2021. 215 $a1 online resource (XXI, 463 p. 62 illus., 40 illus. in color.) 225 1 $aTheoretical Computer Science and General Issues,$x2512-2029 ;$v12865 311 08$a3-030-85164-8 320 $aIncludes bibliographical references and index. 327 $aSymbolic and algebraic algorithms -- Computer algebra systems -- Mathematical software -- Modeling and simulation -- Design and analysis of algorithms -- Computability -- Complexity -- Elliptic curves -- Numerical analysis -- Differential equations -- Applications to natural sciences and engineering -- Parallel computing. 330 $aThis book constitutes the proceedings of the 23rd International Workshop on Computer Algebra in Scientific Computing, CASC 2021, held in Sochi, Russia, in September 2021. The 24 full papers presented together with 1 invited talk were carefully reviewed and selected from 40 submissions. The papers cover theoretical computer algebra and its applications in scientific computing. 410 0$aTheoretical Computer Science and General Issues,$x2512-2029 ;$v12865 606 $aAlgorithms 606 $aComputer networks 606 $aComputer systems 606 $aComputer science 606 $aArtificial intelligence 606 $aComputers 606 $aDesign and Analysis of Algorithms 606 $aComputer Communication Networks 606 $aComputer System Implementation 606 $aTheory of Computation 606 $aArtificial Intelligence 606 $aComputing Milieux 615 0$aAlgorithms. 615 0$aComputer networks. 615 0$aComputer systems. 615 0$aComputer science. 615 0$aArtificial intelligence. 615 0$aComputers. 615 14$aDesign and Analysis of Algorithms. 615 24$aComputer Communication Networks. 615 24$aComputer System Implementation. 615 24$aTheory of Computation. 615 24$aArtificial Intelligence. 615 24$aComputing Milieux. 676 $a512.00285 702 $aBoulier$b Franc?ois 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910495163603321 996 $aComputer Algebra in Scientific Computing$9772100 997 $aUNINA LEADER 03504nam 22006615 450 001 9910627260103321 005 20251113193514.0 010 $a3-031-11154-0 024 7 $a10.1007/978-3-031-11154-9 035 $a(CKB)5840000000091637 035 $a(MiAaPQ)EBC7102068 035 $a(Au-PeEL)EBL7102068 035 $a(PPN)264955161 035 $a(OCoLC)1492953688 035 $a(DE-He213)978-3-031-11154-9 035 $a(EXLCZ)995840000000091637 100 $a20220926d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aArtificial Intelligence and Machine Learning for Healthcare $eVol. 1: Image and Data Analytics /$fedited by Chee-Peng Lim, Ashlesha Vaidya, Yen-Wei Chen, Tejasvi Jain, Lakhmi C. Jain 205 $a1st ed. 2023. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2023. 215 $a1 online resource (239 pages) 225 1 $aIntelligent Systems Reference Library,$x1868-4408 ;$v228 311 08$a3-031-11153-2 320 $aIncludes bibliographical references. 327 $aAn Introduction to Artificial Intelligence in Healthcare -- Radiomics: Approach to Precision Medicine -- Artificial Intelligence Based Strategies for Data-Driven Radial MRI. . 330 $aArtificial intelligence (AI) and machine learning (ML) have transformed many standard and conventional methods in undertaking health and well-being issues of humans. AL/ML-based systems and tools play a critical role in this digital and big data era to address a variety of medical and healthcare problems, improving treatments and quality of care for patients. This edition on AI and ML for healthcare consists of two volumes. The first presents selected AI and ML studies on medical imaging and healthcare data analytics, while the second unveils emerging methodologies and trends in AI and ML for delivering better medical treatments and healthcare services in the future. In this first volume, progresses in AI and ML technologies for medical image, video, and signal processing as well as health information and data analytics are presented. These selected studies offer readers theoretical and practical knowledge and ideas pertaining to recent advances in AI and ML for effective and efficient image and data analytics, leading to state-of-the-art AI and ML technologies for advancing the healthcare sector. 410 0$aIntelligent Systems Reference Library,$x1868-4408 ;$v228 606 $aComputational intelligence 606 $aBiomedical engineering 606 $aArtificial intelligence 606 $aMedical informatics 606 $aComputational Intelligence 606 $aBiomedical Engineering and Bioengineering 606 $aArtificial Intelligence 606 $aHealth Informatics 615 0$aComputational intelligence. 615 0$aBiomedical engineering. 615 0$aArtificial intelligence. 615 0$aMedical informatics. 615 14$aComputational Intelligence. 615 24$aBiomedical Engineering and Bioengineering. 615 24$aArtificial Intelligence. 615 24$aHealth Informatics. 676 $a060 676 $a610.28563 702 $aChee$b Peng Lim 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910627260103321 996 $aArtificial intelligence and machine learning for healthcare$93027984 997 $aUNINA