Results 61 to 70 of about 30,817 (217)

Artificial Intelligence, Optimization, and Modeling Techniques in Water Resources Management: Challenges and Future Directions

Water Environment Research, Volume 98, Issue 6, June 2026.
This study presents an integrated framework linking six foundational elements of water resources management: watershed modeling, surrogate modeling, optimization, artificial intelligence, decision support systems, and monitoring. The synthesis highlights how connecting these traditionally separate domains fosters smarter, adaptive, and data‐driven ...
Hoda S. Razavi, A. Pouyan Nejadhashemi, Kalyanmoy Deb, Gregorio Toscano, Timothy Harrigan, Lewis Linker   +5 more
wiley   +1 more source

Integrating Artificial Intelligence With Droplet‐Based Microfluidics: Advances, Challenges, and Emerging Opportunities

Advanced Intelligent Systems, Volume 8, Issue 5, May 2026.
Droplet‐based microfluidics enables precise, high‐throughput microscale reactions but continues to face challenges in scalability, reproducibility, and data complexity. This review examines how artificial intelligence enhances droplet generation, detection, sorting, and adaptive control and discusses emerging opportunities for clinical and industrial ...
Junyan Lai, Sukrit Gaira, Rongfeng Wang, Qingtian Zhang, Ming Li, Liao Wu, Diangeng Li, Yi Li, Chengchen Zhang, Jinhong Guo, Shi‐Yang Tang   +10 more
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 in Autonomous Mobile Robot Navigation: From Classical Approaches to Intelligent Adaptation

Advanced Intelligent Systems, Volume 8, Issue 5, May 2026.
Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella, Angelo Cardellicchio, Cosimo Patruno, Massimiliano Nitti, Nicola Pedrocchi, Vito Renò   +5 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

Nanoarchitectonics of Activated Carbon Materials for Supercapacitors and Hydrogen Storage Applications

Battery Energy, Volume 5, Issue 3, May 2026.
Advanced activated carbons with high capacitance for supercapacitors and substantial hydrogen storage, underscoring their promise for multifunctional energy systems. ABSTRACT Activated carbon (AC) materials, characterized by their high surface area, diverse pore structure, and excellent electrical conductivity, have proven to be highly efficient and ...
Monjur Mourshed, Shah Tanvir Alam Rimon, Bidyut Baran Saha, Bahman Shabani   +3 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

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

An Overview of Adaptive Neuro-Fuzzy Inference System (ANFIS)

Adaptive Neuro-Fuzzy Inference System (ANFIS) is a powerful hybrid intelligent technique that combines the qualitative reasoning of fuzzy logic with the learning capability of artificial neural networks. By employing a structured fuzzy inference mechanism and data-driven parameter adaptation, ANFIS can effectively model and control complex nonlinear ...
openaire   +1 more source

An Adaptive Neuro-Fuzzy Inference System (ANFIS) of Radioactivity Levels in Hazar Lake

Cumhuriyet Science Journal, 2018
In this study, an Adaptive Neuro-Fuzzy Inference System (ANFIS) model is proposed for the determination of alpha radioactivity of Hazar Lake waters and for the prediction of its unknown values. The model parameters of the lake water are pH, total hardness (TH), depth, electrical conductivity (EC), and alpha radioactivity. ANFIS model is performed using
Miraç KAMIŞLIOĞLU, Fatih KÜLAHCI
openaire   +2 more sources