Applied Physics, System Science and Computers III : Proceedings of the 3rd International Conference on Applied Physics, System Science and Computers (APSAC2018), September 26-28, 2018, Dubrovnik, Croatia / Klimis Ntalianis … [et al.] editors]
| Applied Physics, System Science and Computers III : Proceedings of the 3rd International Conference on Applied Physics, System Science and Computers (APSAC2018), September 26-28, 2018, Dubrovnik, Croatia / Klimis Ntalianis … [et al.] editors] |
| Pubbl/distr/stampa | Cham, : Springer, 2019 |
| Descrizione fisica | xi, 356 p. : ill. ; 24 cm |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
00Bxx - Conference proceedings and collections of articles [MSC 2020] 00A79 (77-XX) - Physics [MSC 2020] 93-XX - Systems theory; control [MSC 2020] |
| Soggetto non controllato |
3d Technology
Approximation of Scattered Data Automatic Classification Cloud Computing Security Composition of Cosmic Rays Convolutional Neural Networks Doppler effect Game Engine Applications Maximum Permutation Code Problem Mixed Integer Nonlinear Problem Monitoring of Blockchain Networks P2p networks Position Determination Production Planning Problem Quad GPU Quantum Logic RBF Approximation Relational Galois Connection Social Attention Spam Detection |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0214533 |
| Cham, : Springer, 2019 | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Applied Physics, System Science and Computers III : Proceedings of the 3rd International Conference on Applied Physics, System Science and Computers (APSAC2018), September 26-28, 2018, Dubrovnik, Croatia / Klimis Ntalianis … [et al.] editors]
| Applied Physics, System Science and Computers III : Proceedings of the 3rd International Conference on Applied Physics, System Science and Computers (APSAC2018), September 26-28, 2018, Dubrovnik, Croatia / Klimis Ntalianis … [et al.] editors] |
| Pubbl/distr/stampa | Cham, : Springer, 2019 |
| Descrizione fisica | xi, 356 p. : ill. ; 24 cm |
| Soggetto topico |
00A79 (77-XX) - Physics [MSC 2020]
00Bxx - Conference proceedings and collections of articles [MSC 2020] 68-XX - Computer science [MSC 2020] 93-XX - Systems theory; control [MSC 2020] |
| Soggetto non controllato |
3d Technology
Approximation of Scattered Data Automatic Classification Cloud Computing Security Composition of Cosmic Rays Convolutional Neural Networks Doppler effect Game Engine Applications Maximum Permutation Code Problem Mixed Integer Nonlinear Problem Monitoring of Blockchain Networks P2p networks Position Determination Production Planning Problem Quad GPU Quantum Logic RBF Approximation Relational Galois Connection Social Attention Spam Detection |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00214533 |
| Cham, : Springer, 2019 | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Artificial Intelligence in Medical Image Processing and Segmentation
| Artificial Intelligence in Medical Image Processing and Segmentation |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2023 |
| Descrizione fisica | 1 online resource (348 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
2D ultrasound image
2D/3D registration 3D virtual reconstruction ALO artificial hummingbird algorithm artificial intelligence artificial neural network (ANN) attention mechanism auto-segmentation automatic volume measurement breast cancer breast density CAD canonical correlation analysis (CCA) carbon ion radiotherapy CBCT cervical cancer cervical net children CNN comparison computer vision applications convolutional neural network Convolutional Neural Networks Cranio-Maxillofacial surgery CT DarkNet-19 deep learning deep learning structures DICOM directional total variation disease discrimination accuracy dual-energy CT edge computing ensemble learning feature fusion feature selection fundus image GAN Grad-CAM hematoxylin eosin histopathological histopathology histopathology images image enhancement image inpainting image normalization image preprocessing image registration image segmentation image-guided radiotherapy in-house instance segmentation k-nearest neighbour (KNN) lesion segmentation limited-angular range loss function magnetic resonance imaging mandible mask-transformer-based networks medical image analysis medical imaging mitotic nuclei classification MobileNet mp-MRI MRI MRI guidance MRI-only multi-contrast MRI NasNet neuroimaging nuclei detection nuclei segmentation OCT orthogonal X-ray osteoarthritis ovarian tumor PA panoptic segmentation panoramic radiographs pap smear particle therapy patch size PCA PCNSL performance comparisons prostate cancer prostate segmentation pyramidal network radiomics random forest (RF) rare neurodevelopmental disorder rare tumor ResNet-101 safranin O fast green scale-adaptive segmentation semantic segmentation shuffle net ShuffleNet software support vector machine support vector machine (SVM) synthetic CT teeth segmentation textural tooth disease recognition tuberous sclerosis complex two-step method U-Net ultrasound bladder scanner urinary disease |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910743276403321 |
| MDPI - Multidisciplinary Digital Publishing Institute, 2023 | ||
| Lo trovi qui: Univ. Federico II | ||
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Large-Scale Structure of the Universe : Cosmological Simulations and Machine Learning : Doctoral Thesis accepted by The University of Tokyo, Tokyo, Japan / Kana Moriwaki
| Large-Scale Structure of the Universe : Cosmological Simulations and Machine Learning : Doctoral Thesis accepted by The University of Tokyo, Tokyo, Japan / Kana Moriwaki |
| Autore | Moriwaki, Kana |
| Pubbl/distr/stampa | Singapore, : Springer, 2022 |
| Descrizione fisica | xii, 120 p. : ill. ; 24 cm |
| Soggetto topico | 85-XX - Astronomy and Astrophysics [MSC 2020] |
| Soggetto non controllato |
Convolutional Neural Networks
Cosmological Simulation Emission Line Galaxy Galaxy Formation and Evolution Generative Adversarial Network Large scale structure of the universe Line Intensity Mapping Noise Reduction Signal Reconstruction |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00284153 |
Moriwaki, Kana
|
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| Singapore, : Springer, 2022 | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Machine Learning Applications in Electronic Design Automation / Haoxing Ren, Jiang Hu editors
| Machine Learning Applications in Electronic Design Automation / Haoxing Ren, Jiang Hu editors |
| Pubbl/distr/stampa | Cham, : Springer, 2022 |
| Descrizione fisica | xii, 583 p. : ill. ; 24 cm |
| Soggetto topico |
94-XX - Information and communication theory, circuits [MSC 2020]
94Cxx - Circuits, networks [MSC 2020] |
| Soggetto non controllato |
Convolutional Neural Networks
Deep learning for EDA Generative Adversarial Networks Graph neural networks Reinforcement Learning |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0277814 |
| Cham, : Springer, 2022 | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Machine Learning Applications in Electronic Design Automation / Haoxing Ren, Jiang Hu editors
| Machine Learning Applications in Electronic Design Automation / Haoxing Ren, Jiang Hu editors |
| Pubbl/distr/stampa | Cham, : Springer, 2022 |
| Descrizione fisica | xii, 583 p. : ill. ; 24 cm |
| Soggetto topico |
94-XX - Information and communication theory, circuits [MSC 2020]
94Cxx - Circuits, networks [MSC 2020] |
| Soggetto non controllato |
Convolutional Neural Networks
Deep learning for EDA Generative Adversarial Networks Graph neural networks Reinforcement Learning |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00277814 |
| Cham, : Springer, 2022 | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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