Results 61 to 70 of about 3,578 (185)

Predicting Pharmacological Treatment Response in Migraine Using AI/ML: A Scoping Review of the Evidence and Future Directions

Pharmacotherapy: The Journal of Human Pharmacology and Drug Therapy, Volume 46, Issue 2, February 2026.
ABSTRACT The treatment of migraine is hampered by inter‐individual variability, leading to an inefficient “trial and error” approach. Artificial intelligence (AI) and machine learning (ML) offer a path towards precision medicine by predicting therapeutic outcomes.
Martina Giacon, Salvatore Terrazzino
wiley   +1 more source

ADAPTIVE FUZZY LOGIC SPEED CONTROLLER WITH TORQUE ADAPTED GAINS FUNCTION FOR PMSM DRIVE [PDF]

Journal of Engineering Science and Technology, 2006
This paper presents a 15 rules-base Function Torque Adapted Gain Fuzzy Inference System (FTAGFIS) adaptive speed controller for the Permanent Magnet Synchronous Motor (PMSM).
MUTASIM NOUR, SHIREEN Y.M. TOO
doaj  

Artificial intelligence‐powered microscopy: Transforming the landscape of parasitology

Journal of Microscopy, Volume 301, Issue 2, Page 280-329, February 2026.
Abstract Microscopy and image analysis play a vital role in parasitology research; they are critical for identifying parasitic organisms and elucidating their complex life cycles. Despite major advancements in imaging and analysis, several challenges remain. These include the integration of interdisciplinary data; information derived from various model
Mariana De Niz, Sara Silva Pereira, David Kirchenbuechler, Leandro Lemgruber, Constadina Arvanitis   +4 more
wiley   +1 more source

Optimization and predictive modelling of biodiesel production from waste cooking oil catalyzed by blast furnace slag geopolymer using RSM and machine learning

The Canadian Journal of Chemical Engineering, Volume 104, Issue 1, Page 6-30, January 2026.
Abstract Biodiesel production from waste cooking oil (WCO) has emerged owing to growing interest in sustainable energy sources. Geopolymers synthesized from industrial wastes, such as blast furnace slag (BFS), are promising catalysts because of their environmental benefits and catalytic properties.
Pascal Mwenge, Djemima Bulanga, Hilary Rutto, Tumisang Seodigeng   +3 more
wiley   +1 more source

Modeling of shear wave velocity in limestone by soft computing methods

International Journal of Mining Science and Technology, 2017
The main purpose of current study is development of an intelligent model for estimation of shear wave velocity in limestone. Shear wave velocity is one of the most important rock dynamic parameters.
Danial Behnia, Kaveh Ahangari, Sayed Rahim Moeinossadat   +2 more
doaj   +1 more source

AI‐Driven Optimization Techniques for Power Quality Improvement in Microgrids: Trends, Techniques, and Future Directions

Energy Science &Engineering, Volume 14, Issue 1, Page 583-610, January 2026.
Decentralized energy systems are gaining momentum, and microgrids have become a vital component of the modern power landscape. Yet, maintaining power quality within these systems presents ongoing challenges due to the presence of nonlinear loads, variable renewable energy sources, and frequent switching operations.
Mahnoor Zahid, Hafiz Mudassir Munir, Mohammad Adeel, Fares Suliaman Alromithy, Mohammad R. Altimania, Ievgen Zaitsev   +5 more
wiley   +1 more source

Estimating the Optimal Dosage of Sodium Valproate in Idiopathic Generalized Epilepsy with Adaptive Neuro-Fuzzy Inference System

Basic and Clinical Neuroscience, 2012
Epilepsy is a clinical syndrome in which seizures have a tendency to recur. Sodium valproate is the most effective drug in the treatment of all types of generalized seizures. Finding the optimal dosage (The lowest effective dose) of sodium valproate is a
Amir Hooshang Mohammadpour, Mohsen Foroughipour, Ali Vahidian Kamyad, Somayyeh Lotfi Noghabi   +3 more
doaj   +2 more sources

Enhancing Hybrid Microgrid Dynamics Using an Agent‐Based Reinforcement Learning (RL) Framework

Energy Science &Engineering, Volume 14, Issue 1, Page 144-162, January 2026.
Overview of (RL) framework ABSTRACT Hybrid microgrids, integrating renewable, and conventional energy sources are critical for sustainable and resilient power systems. Their dynamic performance is affected by uncertainties in load demand, generation variability, and control strategies.
Sudhakiran Ponnuru, Vendoti Suresh, B. Krishnaveni, Ravindra S., Venkateshmurthy B. S., M. Satyanarayana Gupta, K. Aravinda, M. J. D. Ebinezer, S. Prabhakar   +8 more
wiley   +1 more source

Tomada de decisão no mercado financeiro:

Revista Eniac Pesquisa
O presente trabalho tem por objetivo realizar a previsão das séries temporais do Índice Bovespa (Ibovespa) utilizando os métodos de Redes Neurais Artificiais – RNA e Adaptive Neuro Fuzzy Inference Systems – ANFIS, tendo em vista a busca de alternativas a
José Willer do Prado, Caio Peixoto Chain, Mírian Rosa, Alyce Cardoso Campos   +3 more
doaj   +1 more source

Solar Fed 15 Level Cascaded Multilevel Inverter with ANFIS Control Strategy for Enhancement of Power Quality [PDF]

E3S Web of Conferences
Solar PV energy conversion systems suffer from degraded power quality issues because of harmonics in the system. In order to eliminate harmonics, this paper focuse on a solar-powered 15-level cascaded inverter.
Ramakrishna Kothuri, Mahesh Karre, Yadav B.V. Deepthi, Manohar V. Joshi   +3 more
doaj   +1 more source