LEADER 02374nam0 22004933i 450 001 VAN00263546 005 20250224105043.139 017 70$2N$a9783540392668 100 $a20230921d1985 |0itac50 ba 101 $aeng 102 $aDE 105 $a|||| ||||| 200 1 $aMatrix Methods in Analysis$fPiotr Antosik, Charles Swartz 210 $aBerlin$cSpringer$d1985 215 $avi, 118 p.$d24 cm 461 1$1001VAN00102250$12001 $aLecture notes in mathematics$1210 $aBerlin [etc.]$cSpringer$v1113 606 $a40A05$xConvergence and divergence of series and sequences [MSC 2020]$3VANC024459$2MF 606 $a40C05$xMatrix methods for summability [MSC 2020]$3VANC022549$2MF 606 $a46-XX$xFunctional analysis [MSC 2020]$3VANC019764$2MF 606 $a46A19$xOther "topological'' linear spaces (convergence spaces, ranked spaces, spaces with a metric taking values in an ordered structure more general than $\mathbb{R}$, etc.) [MSC 2020]$3VANC023822$2MF 606 $a46B25$xClassical Banach spaces in the general theory [MSC 2020]$3VANC031135$2MF 606 $a46G10$xVector-valued measures and integration [MSC 2020]$3VANC022458$2MF 610 $aBoundary Element Methods$9KW:K 610 $aConvergence$9KW:K 610 $aForms$9KW:K 610 $aLemma$9KW:K 610 $aMatrix$9KW:K 620 $dBerlin$3VANL000066 700 1$aAntosik$bPiotr$3VANV217898$041443 701 1$aSwartz$bCharles$3VANV040075$054079 712 02$aSpringer$ceditore$3VANV108073 791 02$aSpringer Vieweg$zSpringer $3VANV228239 791 02$aSpringer Telos$zSpringer $3VANV108074 791 02$aSpringer Fachmedien$zSpringer $3VANV108075 791 02$aSpringer Spektrum$zSpringer $3VANV226738 791 02$aSpringer, Julius$zSpringer $3VANV230226 801 $aIT$bSOL$c20250829$gRICA 856 4 $uhttps://doi.org/10.1007/BFb0072264$zE-book ? Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o Shibboleth 899 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$1IT-CE0120$2VAN08 912 $fN 912 $aVAN00263546 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08DLOAD e-book 6706 $e08eMF6706 20230929 996 $aMatrix methods in analysis$980968 997 $aUNICAMPANIA LEADER 05024nam 22007455 450 001 9910736977703321 005 20250305003737.0 010 $a9789819935925 010 $a981993592X 024 7 $a10.1007/978-981-99-3592-5 035 $a(MiAaPQ)EBC30672117 035 $a(Au-PeEL)EBL30672117 035 $a(DE-He213)978-981-99-3592-5 035 $a(PPN)272262951 035 $a(CKB)27906783600041 035 $a(EXLCZ)9927906783600041 100 $a20230801d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aApplications of Artificial Intelligence and Neural Systems to Data Science /$fedited by Anna Esposito, Marcos Faundez-Zanuy, Francesco Carlo Morabito, Eros Pasero 205 $a1st ed. 2023. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2023. 215 $a1 online resource (358 pages) 225 1 $aSmart Innovation, Systems and Technologies,$x2190-3026 ;$v360 311 08$aPrint version: Esposito, Anna Applications of Artificial Intelligence and Neural Systems to Data Science Singapore : Springer Singapore Pte. Limited,c2023 9789819935918 327 $aGenerating New Sounds by Vector Arithmetic in the Latent Space of the MelGAN Architecture -- Graph Neural Networks for Topological Feature Extraction in ECG Classification -- Manifold Learning by a Deep Gaussian Process Variational Autoencoder -- Analysis of Sensors for Movement Analysis -- Dual Seep Clustering -- Learning-Based Approach to Predict Fatal Events in Brugada Syndrome -- Breast Cancer Localization and Classification in Mammograms Using YoloV5 -- Deep Acoustic Emission Detection Trained on Seismic Signals -- A Deep Learning Framework for the Classification of Pre-Prodromal and Prodromal Alzheimer?s Disease Using Resting-State EEG signals -- Imitation Learning Through Prior Injection in Markov Decision Processes -- Vision-Based Human Activity Recognition Methods Using Pose Estimation -- Identifying Exoplanets in TESS Data by Deep Learning -- Computational Intelligence for Marine Litter Recovery -- A Synthetic Datasetfor Learning Optical Flow in Underwater Environment -- An Interpretable BERT-Based Architecture for SARS-CoV-2 Variant Identification. 330 $aThis book provides an overview on the current progresses in artificial intelligence and neural nets in data science. The book is reporting on intelligent algorithms and applications modeling, prediction, and recognition tasks and many other application areas supporting complex multimodal systems to enhance and improve human?machine or human?human interactions. This field is broadly addressed by the scientific communities and has a strong commercial impact since investigates on the theoretical frameworks supporting the implementation of sophisticated computational intelligence tools. Such tools will support multidisciplinary aspects of data mining and data processing characterizing appropriate system reactions to human-machine interactional exchanges in interactive scenarios. The emotional issue has recently gained increasing attention for such complex systems due to its relevance in helping in the most common human tasks (like cognitive processes, perception, learning, communication, and even "rational" decision-making) and therefore improving the quality of life of the end users. 410 0$aSmart Innovation, Systems and Technologies,$x2190-3026 ;$v360 606 $aTelecommunication 606 $aSignal processing 606 $aArtificial intelligence 606 $aNeural networks (Computer science) 606 $aUser interfaces (Computer systems) 606 $aHuman-computer interaction 606 $aCommunications Engineering, Networks 606 $aSignal, Speech and Image Processing 606 $aArtificial Intelligence 606 $aMathematical Models of Cognitive Processes and Neural Networks 606 $aUser Interfaces and Human Computer Interaction 615 0$aTelecommunication. 615 0$aSignal processing. 615 0$aArtificial intelligence. 615 0$aNeural networks (Computer science) 615 0$aUser interfaces (Computer systems) 615 0$aHuman-computer interaction. 615 14$aCommunications Engineering, Networks. 615 24$aSignal, Speech and Image Processing. 615 24$aArtificial Intelligence. 615 24$aMathematical Models of Cognitive Processes and Neural Networks. 615 24$aUser Interfaces and Human Computer Interaction. 676 $a006.312 700 $aEsposito$b Anna$042742 701 $aFaundez-Zanuy$b Marcos$01381850 701 $aMorabito$b Francesco Carlo$01368815 701 $aPasero$b Eros$0342865 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910736977703321 996 $aApplications of Artificial Intelligence and Neural Systems to Data Science$93424710 997 $aUNINA