Suchergebnisse - special issues on timely advances of deep learning with applications and data-driven modeling*

Incorporating Causality Into Deep Learning Architectures to Improve Flash Drought Forecasts.

Autoren: Tang, Sijie Wang, Shuo Jiang, Jiping et al.

Quelle: Water Resources Research; Oct2025, Vol. 61 Issue 10, p1-27, 27p

Schlagwörter: DEEP learning, DROUGHTS, FARM risks, WEATHER, CAUSATION (Philosophy), LONG short-term memory, SOIL moisture, PREDICTION models

An Overview of the Latest Developments and Potential Paths for Artificial Intelligence in Wastewater Treatment Systems.

Autoren: Sun, Wenquan Gao, Yun Zhou, Jun et al.

Quelle: Water (20734441); Aug2025, Vol. 17 Issue 16, p2432, 21p

Schlagwörter: ARTIFICIAL intelligence, WASTEWATER treatment, PROCESS optimization, WASTE treatment, DEEP learning, TECHNOLOGICAL innovations, ARTIFICIAL neural networks, WATER quality monitoring

Pharmacometrics in the Age of Large Language Models: A Vision of the Future.

Autoren: Tosca, Elena Maria Aiello, Ludovica De Carlo, Alessandro et al.

Quelle: Pharmaceutics; Oct2025, Vol. 17 Issue 10, p1274, 26p

Schlagwörter: LANGUAGE models, ARTIFICIAL intelligence, PREDICTION models, DIGITAL twin, PHARMACOLOGY, ELECTRONIC data processing, DRUG development

Flood Risk Prediction and Management by Integrating GIS and HEC-RAS 2D Hydraulic Modelling: A Case Study of Ungheni, Iasi County, Romania.

Autoren: Crenganis, Loredana Mariana Pricop, Claudiu Ionuț Diac, Maximilian et al.

Quelle: Water (20734441); Oct2025, Vol. 17 Issue 20, p2959, 31p

Schlagwörter: FLOOD risk, GEOGRAPHIC information systems, URBAN planning, EMERGENCY management, FLOODPLAIN management, CLIMATE change adaptation, HYDRAULIC models

Geografische Kategorien: ROMANIA

Remote Vital Sensing in Clinical Veterinary Medicine: A Comprehensive Review of Recent Advances, Accomplishments, Challenges, and Future Perspectives.

Autoren: Zhao, Xinyue Tanaka, Ryou Mandour, Ahmed S. et al.

Quelle: Animals (2076-2615); Apr2025, Vol. 15 Issue 7, p1033, 27p

Schlagwörter: REMOTE sensing by radar, REMOTE sensing, ANIMAL health, ANIMAL welfare, ANIMAL species, HEART rate monitors

The role of artificial intelligence in enhancing breast cancer screening and diagnosis: A review of current advances.

Autoren: Firuzpour, Faezeh Heydari, MohammadAli Aram, Cena et al.

Quelle: BioImpacts; May2025, Vol. 15 Issue 3, p1-23, 23p

Schlagwörter: ARTIFICIAL intelligence, BREAST cancer, MACHINE learning, DEEP learning, MEDICAL technology, DIAGNOSIS, INDIVIDUALIZED medicine, MEDICAL screening

Uncertainty Quantification of Fluid Leakage and Fault Instability in Geologic CO2 Storage.

Autoren: Lu, Hannah Saló‐Salgado, Lluís Marzouk, Youssef M. et al.

Quelle: Water Resources Research; Oct2025, Vol. 61 Issue 10, p1-24, 24p

Schlagwörter: GEOLOGICAL carbon sequestration, INDUCED seismicity, RISK assessment, EARTHQUAKE hazard analysis, WATER leakage, DEEP learning, CLIMATE change mitigation, HYDRAULIC conductivity

Exploring Chinese Youths’ Focus and Sentimental Tendencies toward Different Extreme Weather Events: A BERTopic and Zero-Shot GPT-4o-Mini Analysis.

Autoren: SHAOPENG CHE MILLER, LEE ZHIXIAO WANG

Quelle: Weather, Climate & Society; Oct2025, Vol. 17 Issue 4, p945-963, 19p

Next‐Generation Vaccines for Co‐Circulating PEDV and TGEV: Integrating Nucleic Acid Platforms, Mucosal Delivery, and AI–Driven Antigen Design.

Autoren: Hu, Xiaojun Wang, Zhenshan Wang, Shen et al.

Quelle: Transboundary & Emerging Diseases. 12/4/2025, Vol. 2025, p1-26. 26p.

The Role of Artificial Intelligence in Modern Healthcare: Advances, Challenges, and Future Prospects.

Autoren: Akila, K. Gopinathan, R. Arunkumar, J. et al.

Quelle: European Journal of Cardiovascular Medicine; Apr2025, Vol. 15 Issue 4, p615-624, 10p

Schlagwörter: MACHINE learning, FEDERATED learning, ARTIFICIAL intelligence, ALGORITHMIC bias, DATA privacy

Innovation in classroom interaction mode of business English teaching driven by biomechanics and data analysis.

Autoren: Lv, Xiaoping

Quelle: Molecular & Cellular Biomechanics; 2025, Vol. 22 Issue 4, p1-31, 31p

Schlagwörter: BIOMECHANICS, DATA analysis, CURRICULUM planning, BUSINESS English, EDUCATIONAL outcomes, TECHNOLOGICAL innovations, STUDENT engagement, EFFECTIVE teaching

TRANSFORMING VETERINARY PRACTICE WITH ARTIFICIAL INTELLIGENCE (AI): A COMPREHENSIVE REVIEW OF APPLICATIONS FOR VETERINARY PRACTITIONERS.

Autoren: Nair, Sudheesh S.¹ snair@rossvet.edu.kn

Quelle: Journal of Indian Veterinary Association. Dec2024, Vol. 22 Issue 3, p36-52. 17p.

Schlagworte: Artificial intelligence, Health outcome assessment, Veterinary medicine, Veterinary services, Animal health, Animal diseases

Applications and challenges of large language models in anesthesiology: narrative review and future perspectives.

Autoren: Zhu, Yiziting Shu, Xin Liu, Xiang et al.

Quelle: Anesthesiology & Perioperative Science; Dec2025, Vol. 3 Issue 4, p1-11, 11p

Flood susceptibility mapping using optimized deep learning models: a non-structural framework.

Autoren: Razavi-Termeh, Seyed Vahid Sadeghi-Niaraki, Abolghasem Jelokhani-Niaraki, Mohammadreza et al.

Quelle: Applied Water Science; Aug2025, Vol. 15 Issue 8, p1-25, 25p

Schlagwörter: DEEP learning, METAHEURISTIC algorithms, FLOOD risk, REMOTE sensing, RISK management in business

Geografische Kategorien: IRAN

A comprehensive review on application of cognitive behavioral therapy in emotional AI solutions for mental well-being.

Autoren: Pawar, Bimba Mahajan, Smita Kolhar, Shrikrishna

Quelle: Discover Psychology; 12/3/2025, Vol. 5 Issue 1, p1-35, 35p

Artificial Intelligence-Assisted Design of Nanomedicines for Breast Cancer Diagnosis and Therapy: Advances, Challenges, and Future Directions.

Autoren: Shirzad, Maryam Shaban, Mina Mohammadzadeh, Vahideh et al.

Quelle: BioNanoScience; Sep2025, Vol. 15 Issue 3, p1-33, 33p

RAVE-HD: A Novel Sequential Deep Learning Approach for Heart Disease Risk Prediction in e-Healthcare.

Autoren: Khan, Muhammad Jaffar Raza, Basit Faheem, Muhammad

Quelle: Diagnostics (2075-4418); Nov2025, Vol. 17 Issue 22, p2866, 50p

Schlagwörter: HEART diseases, DEEP learning, MEDICAL screening, FEATURE selection, MACHINE learning, PREDICTION models, DIGITAL health, STATISTICAL bias

The impact of artificial intelligence on remote healthcare: Enhancing patient engagement, connectivity, and overcoming challenges.

Autoren: Chaturvedi, Udit Chauhan, Shikha Baghel Singh, Indu

Quelle: Intelligent Pharmacy; Oct2025, Vol. 3 Issue 5, p323-329, 7p

A review on the applications of machine learning in biomaterials, biomechanics, and biomanufacturing for tissue engineering.

Autoren: RenKai Fu Zhenghong Chen Hua Tian et al.

Quelle: Smart Materials in Medicine; Aug2025, Vol. 6 Issue 2, p171-204, 34p

Leveraging Artificial Intelligence for Improved Cancer Imaging and Patient Outcomes.

Autoren: Podder, Amitava Ghosh, Shivnath Roy, Piyal et al.

Quelle: Cuestiones de Fisioterapia; 2025, Vol. 54 Issue 3, p2778-2789, 12p

Schlagwörter: ARTIFICIAL intelligence, FEDERATED learning, MACHINE learning, MAGNETIC resonance imaging, ALGORITHMIC bias