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Advanced machine intelligence and signal processing / / Deepak Gupta [and three others], editors
| Advanced machine intelligence and signal processing / / Deepak Gupta [and three others], editors |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore Pte Ltd., , [2022] |
| Descrizione fisica | 1 online resource (859 pages) |
| Disciplina | 006.31 |
| Collana | Lecture notes in electrical engineering |
| Soggetto topico |
Machine learning
Signal processing |
| ISBN | 981-19-0840-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910580150803321 |
| Singapore : , : Springer Nature Singapore Pte Ltd., , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Machine Learning and Deep Learning Approaches for Remote Sensing / / edited by Gwanggil Jeon
| Advanced Machine Learning and Deep Learning Approaches for Remote Sensing / / edited by Gwanggil Jeon |
| Pubbl/distr/stampa | [Place of publication not identified] : , : MDPI - Multidisciplinary Digital Publishing Institute, , 2023 |
| Descrizione fisica | 1 online resource (362 pages) |
| Disciplina | 621.3678 |
| Soggetto topico |
Deep learning (Machine learning)
Machine learning Remote sensing |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910734348503321 |
| [Place of publication not identified] : , : MDPI - Multidisciplinary Digital Publishing Institute, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced machine learning approaches in cancer prognosis : challenges and applications / / Janmenjoy Nayak [and four others] editors
| Advanced machine learning approaches in cancer prognosis : challenges and applications / / Janmenjoy Nayak [and four others] editors |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (461 pages) |
| Disciplina | 006.31 |
| Collana | Intelligent systems reference library ; Volume 204. |
| Soggetto topico |
Cancer - Prognosis - Technological innovations
Machine learning Artificial intelligence - Medical applications Càncer Pronòstic mèdic Innovacions tecnològiques Intel·ligència artificial en medicina Aprenentatge automàtic |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-71975-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910482988603321 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced machine learning technologies and applications : proceedings of AMLTA 2021 / / edited by Aboul-Ella Hassanien, Kuo-Chi Chang, Tang Mincong
| Advanced machine learning technologies and applications : proceedings of AMLTA 2021 / / edited by Aboul-Ella Hassanien, Kuo-Chi Chang, Tang Mincong |
| Pubbl/distr/stampa | Gateway East, Singapore : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (1,144 pages) : illustrations |
| Disciplina | 006.31 |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico |
Machine learning
Aprenentatge automàtic COVID-19 Intel·ligència artificial en medicina |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN | 3-030-69717-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910484064003321 |
| Gateway East, Singapore : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced machine learning with Python : solve challenging data science problems by mastering cutting-edge machine learning techniques in Python / / John Hearty
| Advanced machine learning with Python : solve challenging data science problems by mastering cutting-edge machine learning techniques in Python / / John Hearty |
| Autore | Hearty John |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Birmingham : , : Packt Publishing, , 2016 |
| Descrizione fisica | 1 online resource (278 pages) : color illustrations |
| Collana | Community experience distilled |
| Soggetto topico |
Machine learning
Python (Computer program language) |
| Soggetto genere / forma | Electronic books. |
| ISBN | 1-78439-383-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910466000403321 |
Hearty John
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| Birmingham : , : Packt Publishing, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced machine learning with Python : solve challenging data science problems by mastering cutting-edge machine learning techniques in Python / / John Hearty
| Advanced machine learning with Python : solve challenging data science problems by mastering cutting-edge machine learning techniques in Python / / John Hearty |
| Autore | Hearty John |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Birmingham : , : Packt Publishing, , 2016 |
| Descrizione fisica | 1 online resource (278 pages) : color illustrations |
| Collana | Community experience distilled |
| Soggetto topico |
Machine learning
Python (Computer program language) |
| ISBN | 1-78439-383-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910798523703321 |
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Hearty John
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| Birmingham : , : Packt Publishing, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced machine learning with Python : solve challenging data science problems by mastering cutting-edge machine learning techniques in Python / / John Hearty
| Advanced machine learning with Python : solve challenging data science problems by mastering cutting-edge machine learning techniques in Python / / John Hearty |
| Autore | Hearty John |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Birmingham : , : Packt Publishing, , 2016 |
| Descrizione fisica | 1 online resource (278 pages) : color illustrations |
| Collana | Community experience distilled |
| Soggetto topico |
Machine learning
Python (Computer program language) |
| ISBN | 1-78439-383-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910813242703321 |
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Hearty John
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| Birmingham : , : Packt Publishing, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced mapping of environmental data [[electronic resource] ] : geostatistics, machine learning, and Bayesian maximum entropy / / edited by Mikhail Kanevski
| Advanced mapping of environmental data [[electronic resource] ] : geostatistics, machine learning, and Bayesian maximum entropy / / edited by Mikhail Kanevski |
| Pubbl/distr/stampa | London, : ISTE |
| Descrizione fisica | 1 online resource (xiii, 313 p.) : ill |
| Disciplina | 550.1519542 |
| Altri autori (Persone) | KanevskiMikhail |
| Collana | ISTE |
| Soggetto topico |
Geology - Statistical methods
Machine learning Bayesian statistical decision theory |
| Soggetto genere / forma | Electronic books. |
| ISBN |
9780470611463 (e-book)
9781848210608 (hbk.) |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Advanced Mapping of Environmental Data: Introduction -- Chapter 2. Environmental Monitoring Network Characterization and Clustering -- Chapter 3. Geostatistics: Spatial Predictions and Simulations -- Chapter 4. Spatial Data Analysis and Mapping Using Machine Learning Algorithms -- Chapter 5. Advanced Mapping of Environmental Spatial Data: Case Studies -- Chapter 6. Bayesian Maximum Entropy – BME -- Index. |
| Record Nr. | UNINA-9910139505003321 |
| London, : ISTE | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced mapping of environmental data [[electronic resource] ] : geostatistics, machine learning, and Bayesian maximum entropy / / edited by Mikhail Kanevski
| Advanced mapping of environmental data [[electronic resource] ] : geostatistics, machine learning, and Bayesian maximum entropy / / edited by Mikhail Kanevski |
| Pubbl/distr/stampa | London, : ISTE |
| Descrizione fisica | 1 online resource (xiii, 313 p.) : ill |
| Disciplina | 550.1519542 |
| Altri autori (Persone) | KanevskiMikhail |
| Collana | ISTE |
| Soggetto topico |
Geology - Statistical methods
Machine learning Bayesian statistical decision theory |
| ISBN |
9780470611463 (e-book)
9781848210608 (hbk.) |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Advanced Mapping of Environmental Data: Introduction -- Chapter 2. Environmental Monitoring Network Characterization and Clustering -- Chapter 3. Geostatistics: Spatial Predictions and Simulations -- Chapter 4. Spatial Data Analysis and Mapping Using Machine Learning Algorithms -- Chapter 5. Advanced Mapping of Environmental Spatial Data: Case Studies -- Chapter 6. Bayesian Maximum Entropy – BME -- Index. |
| Record Nr. | UNINA-9910830444603321 |
| London, : ISTE | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Optimal Control and Applications Involving Critic Intelligence / / by Ding Wang, Mingming Ha, Mingming Zhao
| Advanced Optimal Control and Applications Involving Critic Intelligence / / by Ding Wang, Mingming Ha, Mingming Zhao |
| Autore | Wang Ding |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (283 pages) |
| Disciplina | 006.3 |
| Collana | Intelligent Control and Learning Systems |
| Soggetto topico |
Control engineering
Robotics Automation Machine learning Control, Robotics, Automation Machine Learning |
| ISBN | 981-19-7291-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A Survey of Robust Adaptive Critic Control Design -- Robust Optimal Control of Nonlinear Systems with Matched Uncertainties -- Observer-Based Online Adaptive Regulation for a Class of Uncertain Nonlinear Systems -- Adaptive Tracking Control of Nonlinear Systems Subject to Matched Uncertainties -- Event-Triggered Robust Stabilization Incorporating an Adaptive Critic Mechanism -- An Improved Adaptive Optimal Regulation Framework with Robust Control Synthesis -- Robust Stabilization and Trajectory Tracking of General Uncertain Nonlinear Systems -- Event-Triggered Nonlinear H∞ Control Design via an Improved Critic Learning Strategy -- Intelligent Critic Control with Disturbance Attenuation for a Micro-Grid System -- Sliding Mode Design for Load Frequency Control with Power System Applications. |
| Record Nr. | UNINA-9910645887903321 |
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Wang Ding
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Soggetto topico
-
Machine learning
(2212)
- Machine Learning (808)
- Artificial intelligence (374)
- Data mining (218)
- Application software (216)