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Applied Artificial Intelligence 4: Medicine, Biology, Chemistry, Financial, Games, Engineering : The Third Serbian International Conference on Applied Artificial Intelligence (SICAAI) / / edited by Nenad Filipović
| Applied Artificial Intelligence 4: Medicine, Biology, Chemistry, Financial, Games, Engineering : The Third Serbian International Conference on Applied Artificial Intelligence (SICAAI) / / edited by Nenad Filipović |
| Autore | Filipović Nenad |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (0 pages) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Computational intelligence
Artificial intelligence Machine learning Computational Intelligence Artificial Intelligence Machine Learning |
| ISBN | 3-031-99201-6 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Community Event Discovery Using ‘X’ Data Stream -- Advanced Risk Management Practices The Application of the Exact Solutions Methods for Resilience Factors Improvement -- Efficient Sequential Detection: Enhancing Cancer Detection In Sequential MRI Sequences -- On Semantic Association Capabilities of GPT LLMs in a Game of Word Associations -- The Possibility of Bone Fracture Prediction in Osteoporosis Treatment Through Use of AI, etc. |
| Record Nr. | UNINA-9911016078103321 |
Filipović Nenad
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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In Silico Clinical Trials for Cardiovascular Disease : A Finite Element and Machine Learning Approach / / edited by Nenad Filipović
| In Silico Clinical Trials for Cardiovascular Disease : A Finite Element and Machine Learning Approach / / edited by Nenad Filipović |
| Autore | Filipović Nenad |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (431 pages) |
| Disciplina | 573.1 |
| Soggetto topico |
Cardiovascular system
Physiology Machine learning Artificial intelligence Drug delivery systems Cardiovascular Physiology Machine Learning Artificial Intelligence Drug Delivery |
| ISBN |
9783031600449
9783031600432 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1 - Heart physiology and heart diseases, Djordje Jakovljevic, Nenad Filipovic -- Chapter 2 - Finite element modeling, Nenad Filipovic -- Chapter 3 - System biology modeling for drug optimization, Marko Zivanovic, Nenad Filipovic -- Chapter 4 - Artificial intelligence approach for medical image processing, Tijana Sustersic, Nenad Filipovic.-Chapter 5 - Pharmacokinetic and AI modeling, Lazar Velicki, Nenad Filipovic -- Chapter 6 - Molecular micro modeling of heart muscle, Momcilo Prodanovic, Nenad Filipovic -- Chapter 7 - Use case: Risk stratification of cardiomyopathy disease, Lazar Dasic, Nenad Filipovic -- Chapter 8 - Use case: Surrogate AI model for left ventricle modeling, Bogdan Milicevic, Nenad Filipovic -- Chapter 9 - Use case: Carotid artery plaque modeling, Andjela Blagojevic, Nenad Filipovic -- Chapter 10 - Use case: Stent deployment for coronary artery, Miljan Milosevic, Nenad Filipovic -- Chapter 11 - Use case: Balloon deployment for peripheral arteries. Aleksandra Vulovic, Nenad Filipovic -- Chapter 12 - Use case: Aorta stenosis modeling, Smiljana Tomasevic, Nenad Filipovic -- Chapter 13 - Use case: Stent biodegradation modeling, Dalibor Nikolic, Nenad Filipovic. |
| Record Nr. | UNINA-9910878066903321 |
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Filipović Nenad
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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