Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Advances and Applications in Deep Learning / / edited by Marco Antonio Aceves-Fernandez
| Advances and Applications in Deep Learning / / edited by Marco Antonio Aceves-Fernandez |
| Pubbl/distr/stampa | London : , : IntechOpen, , 2020 |
| Descrizione fisica | 1 online resource (xiii, 122 pages) : illustrations |
| Disciplina | 006.31 |
| Collana | Artificial Intelligence |
| Soggetto topico | Deep learning (Machine learning) |
| ISBN | 1-83962-879-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910431355603321 |
| London : , : IntechOpen, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances and Applications in Deep Learning / / edited by Marco Antonio Aceves-Fernandez
| Advances and Applications in Deep Learning / / edited by Marco Antonio Aceves-Fernandez |
| Pubbl/distr/stampa | London, England : , : IntechOpen, , 2020 |
| Descrizione fisica | 1 online resource (122 pages) |
| Disciplina | 006.31 |
| Collana | Artificial Intelligence |
| Soggetto topico |
Deep learning (Machine learning)
Artificial intelligence |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910688212303321 |
| London, England : , : IntechOpen, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial intelligence : applications in medicine and biology / / edited by Marco Antonio Aceves-Fernandez
| Artificial intelligence : applications in medicine and biology / / edited by Marco Antonio Aceves-Fernandez |
| Pubbl/distr/stampa | London, England : , : IntechOpen, , [2019] |
| Descrizione fisica | 1 online resource (140 pages) : illustrations |
| Disciplina | 610.285 |
| Collana | IntechOpen book series, Artificial intelligence |
| Soggetto topico |
Medical informatics
Artificial intelligence - Industrial applications |
| ISBN |
1-78984-605-6
1-78984-018-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Artificial Intelligence, volume 1 |
| Record Nr. | UNINA-9910332352403321 |
| London, England : , : IntechOpen, , [2019] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial intelligence : emerging trends and applications / / edited by Marco Antonio Aceves-Fernandez
| Artificial intelligence : emerging trends and applications / / edited by Marco Antonio Aceves-Fernandez |
| Pubbl/distr/stampa | London, England : , : IntechOpen, , [2018] |
| Descrizione fisica | 1 online resource (464 pages) : illustrations |
| Disciplina | 006.3 |
| Soggetto topico | Artificial intelligence |
| ISBN |
1-83881-615-1
1-78923-365-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Artificial intelligence |
| Record Nr. | UNINA-9910317810003321 |
| London, England : , : IntechOpen, , [2018] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial Intelligence Annual . Volume 2022 / / edited by Marco Antonio Aceves-Fernandez, Carlos M. Travieso-González
| Artificial Intelligence Annual . Volume 2022 / / edited by Marco Antonio Aceves-Fernandez, Carlos M. Travieso-González |
| Pubbl/distr/stampa | London : , : IntechOpen, , 2022 |
| Descrizione fisica | 1 online resource (178 pages) |
| Disciplina | 006.3 |
| Soggetto topico | Artificial intelligence |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Machine Learning Algorithm-Based Contraceptive Practice among Ever-Married Women in Bangladesh: A Hierarchical Machine Learning Classification Approach -- By Iqramul Haq, Md. Ismail Hossain, Md. Moshiur Rahman, Md. Injamul Haq Methun, Ashis Talukder, Md. Jakaria Habib and Md. Sanwar Hossain 92 -- 2. Evaluating Similarities and Differences between Machine Learning and Traditional Statistical Modeling in Healthcare Analytics -- By Michele Bennett, Ewa J. Kleczyk, Karin Hayes and Rajesh Mehta 59 -- 3. Image-Based Crop Leaf Disease Identification Using Convolution Encoder Networks -- By Indira Bharathi and Veeramani Sonai 40 -- 4. Perspective Chapter: Deep Reinforcement Learning for Co-Resident Attack Mitigation in The Cloud -- By Suxia Cui and Soamar Homsi 39 -- 5. Velocity Planning via Model-Based Reinforcement Learning: Demonstrating Results on PILCO for One-Dimensional Linear Motion with Bounded Acceleration -- By Hsuan-Cheng Liao, Han-Jung Chou and Jing-Sin Liu 27 -- 6. Self-Supervised Contrastive Representation Learning in Computer Vision -- By Yalin Bastanlar and Semih Orhan 145 -- 7. Analysis of Brain Computer Interface Using Deep and Machine Learning -- By Nabil Ajali-Hernández and Carlos M. Travieso-Gonzalez 76 -- 8. Multi-Features Assisted Age Invariant Face Recognition and Retrieval Using CNN with Scale Invariant Heat Kernel Signature -- By Kishore Kumar Kamarajugadda and Movva Pavani 56. |
| Record Nr. | UNINA-9910688346003321 |
| London : , : IntechOpen, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial intelligence annual . Volume 2022 / / edited by Marco Antonio Aceves-Fernandez, Carlos M. Travieso-González
| Artificial intelligence annual . Volume 2022 / / edited by Marco Antonio Aceves-Fernandez, Carlos M. Travieso-González |
| Pubbl/distr/stampa | London : , : IntechOpen, , [2022] |
| Descrizione fisica | 1 online resource (178 pages) : illustrations |
| Disciplina | 006.3 |
| Collana | Artificial Intelligence |
| Soggetto topico | Artificial intelligence |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Machine Learning Algorithm-Based Contraceptive Practice among Ever-Married Women in Bangladesh: A Hierarchical Machine Learning Classification Approach -- By Iqramul Haq, Md. Ismail Hossain, Md. Moshiur Rahman, Md. Injamul Haq Methun, Ashis Talukder, Md. Jakaria Habib and Md. Sanwar Hossain 92 -- 2. Evaluating Similarities and Differences between Machine Learning and Traditional Statistical Modeling in Healthcare Analytics -- By Michele Bennett, Ewa J. Kleczyk, Karin Hayes and Rajesh Mehta 59 -- 3. Image-Based Crop Leaf Disease Identification Using Convolution Encoder Networks-- By Indira Bharathi and Veeramani Sonai 40 -- 4. Perspective Chapter: Deep Reinforcement Learning for Co-Resident Attack Mitigation in The Cloud -- By Suxia Cui and Soamar Homsi 39 -- 5. Velocity Planning via Model-Based Reinforcement Learning: Demonstrating Results on PILCO for One-Dimensional Linear Motion with Bounded Acceleration-- By Hsuan-Cheng Liao, Han-Jung Chou and Jing-Sin Liu 27 -- 6. Self-Supervised Contrastive Representation Learning in Computer Vision -- By Yalin Bastanlar and Semih Orhan 145 -- 7. Analysis of Brain Computer Interface Using Deep and Machine Learning-- By Nabil Ajali-Hernández and Carlos M. Travieso-Gonzalez 76-- 8. Multi-Features Assisted Age Invariant Face Recognition and Retrieval Using CNN with Scale Invariant Heat Kernel Signature-- By Kishore Kumar Kamarajugadda and Movva Pavani 56. |
| Record Nr. | UNINA-9910647203303321 |
| London : , : IntechOpen, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Swarm Intelligence : Recent Advances and Current Applications / / Marco Antonio Aceves-Fernandez, editor
| Swarm Intelligence : Recent Advances and Current Applications / / Marco Antonio Aceves-Fernandez, editor |
| Pubbl/distr/stampa | London : , : IntechOpen, , 2023 |
| Descrizione fisica | 1 online resource (196 pages) |
| Disciplina | 006.3824 |
| Collana | Artificial Intelligence |
| Soggetto topico | Swarm intelligence |
| ISBN | 1-83768-087-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910678589703321 |
| London : , : IntechOpen, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||