LEADER 00686nam0 2200253 450 001 9910863591403321 005 20240624084548.0 010 $a9791221803877 100 $a20240624d2022---- y kmyy0itay50 ba 101 0 $aita 102 $aIT 105 $ay 001yy 200 1 $a<> Fablab$eorganizzazione, conoscenza ed esperienze$fRoberta Oppedisano ... [et al.] 210 $aRoma$cAracne$d2022 215 $a137 p.$d24 cm 676 $a331.256$v23 702 1$aOppedisano$bRoberta 801 0$aIT$bUNINA$gREICAT$2UNIMARC 901 $aBK 912 $a9910863591403321 952 $aAZOA103A$b5002 $f DECBC 959 $aDECBC 996 $aFablab$94169525 997 $aUNINA LEADER 02546nam 2200709z- 450 001 9910557744503321 005 20210501 035 $a(CKB)5400000000045897 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/69034 035 $a(oapen)doab69034 035 $a(EXLCZ)995400000000045897 100 $a20202105d2020 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aFluctuation Relations and Nonequilibrium Thermodynamics in Classical and Quantum Systems 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2020 215 $a1 online resource (158 p.) 311 08$a3-03936-998-9 311 08$a3-03936-999-7 330 $aThis Special Issue contains novel results in the area of out-of-equilibrium classical and quantum thermodynamics. Contributions are from different areas of physics, including statistical mechanics, quantum information and many-body systems. 606 $aHistory of engineering and technology$2bicssc 610 $aathermality 610 $abinomial states 610 $acavitation 610 $acoherence 610 $acollision model 610 $acollisional models 610 $acondensation of fluctuations 610 $aCrooks equality 610 $aCurzon-Ahlborn efficiency 610 $aendoreversible quantum thermodynamics 610 $aergotropy 610 $afluctuation relation 610 $afluctuation relations 610 $afluctuation theorems 610 $ageneralised coherent states 610 $ainformation thermodynamics 610 $alarge deviations 610 $alaser cooling 610 $amagnetic cycle 610 $amany-body quantum systems 610 $anonequilibrium systems 610 $aphase transitions 610 $aphoton added thermal state 610 $aphoton subtracted thermal state 610 $aquantum correlations 610 $aquantum heat engines 610 $aquantum otto cycle 610 $aquantum Otto engine 610 $aquantum thermodynamics 610 $asonoluminescence 610 $athermalization 615 7$aHistory of engineering and technology 700 $aDe Chiara$b Gabriele$4edt$01324793 702 $aDe Chiara$b Gabriele$4oth 906 $aBOOK 912 $a9910557744503321 996 $aFluctuation Relations and Nonequilibrium Thermodynamics in Classical and Quantum Systems$93036308 997 $aUNINA LEADER 03340nam 22006975 450 001 9910502639803321 005 20251113195127.0 010 $a3-030-87589-X 024 7 $a10.1007/978-3-030-87589-3 035 $a(CKB)4100000012036814 035 $a(MiAaPQ)EBC6734422 035 $a(Au-PeEL)EBL6734422 035 $a(OCoLC)1269482863 035 $a(DE-He213)978-3-030-87589-3 035 $a(PPN)258051841 035 $a(EXLCZ)994100000012036814 100 $a20210925d2021 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMachine Learning in Medical Imaging $e12th International Workshop, MLMI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings /$fedited by Chunfeng Lian, Xiaohuan Cao, Islem Rekik, Xuanang Xu, Pingkun Yan 205 $a1st ed. 2021. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2021. 215 $a1 online resource (721 pages) 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics,$x3004-9954 ;$v12966 311 08$a3-030-87588-1 330 $aThis book constitutes the proceedings of the 12th International Workshop on Machine Learning in Medical Imaging, MLMI 2021, held in conjunction with MICCAI 2021, in Strasbourg, France, in September 2021.* The 71 papers presented in this volume were carefully reviewed and selected from 92 submissions. They focus on major trends and challenges in the above-mentioned area, aiming to identify new-cutting-edge techniques and their uses in medical imaging. Topics dealt with are: deep learning, generative adversarial learning, ensemble learning, sparse learning, multi-task learning, multi-view learning, manifold learning, and reinforcement learning, with their applications to medical image analysis, computer-aided detection and diagnosis, multi-modality fusion, image reconstruction, image retrieval, cellular image analysis, molecular imaging, digital pathology, etc. *The workshop was held virtually. 410 0$aImage Processing, Computer Vision, Pattern Recognition, and Graphics,$x3004-9954 ;$v12966 606 $aComputer vision 606 $aArtificial intelligence 606 $aComputer engineering 606 $aComputer networks 606 $aPattern recognition systems 606 $aBioinformatics 606 $aComputer Vision 606 $aArtificial Intelligence 606 $aComputer Engineering and Networks 606 $aAutomated Pattern Recognition 606 $aComputational and Systems Biology 615 0$aComputer vision. 615 0$aArtificial intelligence. 615 0$aComputer engineering. 615 0$aComputer networks. 615 0$aPattern recognition systems. 615 0$aBioinformatics. 615 14$aComputer Vision. 615 24$aArtificial Intelligence. 615 24$aComputer Engineering and Networks. 615 24$aAutomated Pattern Recognition. 615 24$aComputational and Systems Biology. 676 $a006.31 702 $aLian$b Chunfeng 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910502639803321 996 $aMachine Learning in Medical Imaging$92998079 997 $aUNINA