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Advances in Artificial Intelligence: Models, Optimization, and Machine Learning
| Advances in Artificial Intelligence: Models, Optimization, and Machine Learning |
| Autore | Leon Florin |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (362 p.) |
| Soggetto topico |
Mathematics and Science
Research and information: general |
| Soggetto non controllato |
NET framework
adaptive sampling agent algorithms agent-based systems animal-inspired applied machine learning approximate differential optimization autonomous driving class imbalance classification classification and regression combinatorics computational complexity data mining deep learning deep neural networks DeepFKTNet defect classification distance metrics distributed W-learning dynamic programming algorithm engineering informatics ensemble model evolutionary algorithm exploitation exploration free radical polymerization gender-based violence in Mexico generative adversarial networks graph neural network hot rolled strip steel hyperparameters image classification inference instance-based learning intelligent transport systems interoperability k-nearest neighbor knockout tournament large margin nearest neighbor regression machine learning metaheuristics multi-agent framework multi-agent systems multiple point hill climbing multisensory fingerprint n/a object tracking optimization plastic bottle prototypes reinforcement learning simulations software design spatial-temporal variable speed limit stochastic methods surface defects traffic control trajectory prediction transfer learning twitter messages urban motorways |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Advances in Artificial Intelligence |
| Record Nr. | UNINA-9910580212403321 |
Leon Florin
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Applications of Artificial Intelligence in Medicine Practice
| Applications of Artificial Intelligence in Medicine Practice |
| Autore | Kang Kyungtae |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (184 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
advanced statistics
aggression ATLAS backdoor attacks Bayesian learning brain cerebral infarction clinical decision support systems CNN computational intelligence computer vision convolutional neural network COVID-19 CT image segmentation CycleGAN deep learning deep neural networks digital pathology DNET dysembryoplastic neuroepithelial tumor endoscopy feature selection forensic psychiatry fundus images ganglioglioma gastric cancer HarDNet healthcare instance-based learning kernel density kernel formulation machine learning medical assistance medical image segmentation medical imaging mental disorders MRI n/a neuroimaging ophthalmology pituitary adenoma schizophrenia security and privacy segmentation semi-automated labeling tool SVM Swin transformer U-Net visual acuity |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910673905003321 |
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Kang Kyungtae
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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