Results 61 to 70 of about 6,025 (187)

Daily Residential Natural Gas Demand Forecasting Using Machine Learning Regression: Comparative Evaluation With a Case Study in Qazvin Province, Iran

Energy Science &Engineering, Volume 14, Issue 8, Page 3656-3673, August 2026.
This graphical abstract summarizes the proposed framework for improving short‐term residential natural gas consumption forecasting by integrating a novel socioeconomic indicator, the subscription growth ratio (SGR), with conventional meteorological variables.
Ali Pirzad, Mostafa Khanzadi
wiley   +1 more source

Predicting discharge coefficient of weir–orifice in closed conduit using a neuro-fuzzy model improved by multi-phase PSOGSA

Applied Water Science
This study investigates the viability of a strong algorithm (PSOGSA) merging particle swarm optimization (PSO) and gravity search algorithm (GSA) in tuning adaptive neuro-fuzzy system (ANFIS) parameters for modeling dimensionless experimental discharge ...
Rana Muhammad Adnan, Payam Khosravinia, Ozgur Kisi, Mohammad Reza Nikpour, Hong-Liang Dai, Mazyar Osmani, Seyyede Aniseh Ghazaei   +6 more
doaj   +1 more source

316L Paslanmaz Çeliklerin Frezeleme işlemindeki Yüzey Pürüzlülüğün ANFIS ile Modellenmesi

Düzce Üniversitesi Bilim ve Teknoloji Dergisi, 2019
Paslanmaz çelikler, mükemmel korozyon direnci, düşük ve yüksek sıcaklıklarda kullanılabilmesi, kolay şekillendirilebilmesi ve iyi estetik görünüme sahip olmasından dolayı birçok alanda kullanılabilen bir malzemedir.
Yusuf Fedai, Ali Ünüvar, Hediye Kırlı Akın, Gökhan Başar   +3 more
doaj   +1 more source

Enhancing Rock Strength Prediction and Features Selection by Coupling Well Log Data and Deep Learning Approaches in Reservoir Geomechanics

International Journal for Numerical and Analytical Methods in Geomechanics, Volume 50, Issue 11, Page 4724-4738, 10 August 2026.
ABSTRACT Accurate rock strength parameters play a vital role in petroleum and mining operations for sustainable drilling activities, and wellbore stability analysis. This study investigates the applicability of deep learning techniques for assessing data‐driven models, and to conduct parametric sensitivity examination for feature attributes ranking to ...
Mohammad Islam Miah, Md. Shakil Rahaman, Travis Wiens   +2 more
wiley   +1 more source

Spatial Prediction of Landslide Susceptibility Using GIS-Based Data Mining Techniques of ANFIS with Whale Optimization Algorithm (WOA) and Grey Wolf Optimizer (GWO)

Applied Sciences, 2019
The most dangerous landslide disasters always cause serious economic losses and human deaths. The contribution of this work is to present an integrated landslide modelling framework, in which an adaptive neuro-fuzzy inference system (ANFIS) is combined ...
Wei Chen, Haoyuan Hong, Mahdi Panahi, Himan Shahabi, Yi Wang, Ataollah Shirzadi, Saied Pirasteh, Ali Asghar Alesheikh, Khabat Khosravi, Somayeh Panahi, Fatemeh Rezaie, Shaojun Li, Abolfazl Jaafari, Dieu Tien Bui, Baharin Bin Ahmad   +14 more
doaj   +1 more source

Recent Advancements in PVDF‐Based Hybrid Metal Oxide Nanocomposites as Photocatalysts for Environmental Remediation: A Critical Review

Nano Select, Volume 7, Issue 8, August 2026.
ABSTRACT Polyvinylidene Flouride (PVDF)‐based hybrid metal oxides have emerged as significant materials in the domain of wastewater treatment. This review article provides a comprehensive outline of the synthesis, properties, and applications of PVDF‐based hybrid metal oxide composites with a focus on their enhanced performance in wastewater treatment ...
Danish Umer, Maryam Bibi, Nimra Nadeem, Zubair Khaliq, Muhammad Bilal Qadir, Muhammad Zahid, Muhammad Wakil Shahzad, Muhammad Sultan, Rana Muhammad Asif Kanwar, Asim Jilani   +9 more
wiley   +1 more source

A Novel QoS Prediction Model for Web Services Based on an Adaptive Neuro-Fuzzy Inference System Using COOT Optimization

IEEE Access
The adoption of adaptive neuro-fuzzy inference systems (ANFIS) and metaheuristic optimization approaches has been widely observed in recent research. Even so, integrating these methods improves the model’s capability to solve complex problems.
Thandra Jithendra, Mohammad Zubair Khan, S. Sharief Basha, Raja Das, A. Divya, Chiranji Lal Chowdhary, Abdulrahman Alahmadi, Ahmed H. Alahmadi   +7 more
doaj   +1 more source

Artificial Intelligence Techniques to Enhance Cost, Effort, and Schedule Estimates in Software Development Projects: A Systematic Literature Review

Journal of Software: Evolution and Process, Volume 38, Issue 8, August 2026.
ABSTRACT The inaccuracy of cost, effort, and schedule estimates remains one of the primary factors associated with failures in software development projects, particularly in contexts characterized by high complexity and frequent changes in requirements.
Rodolfo Barbosa dos Santos, Luiz Eduardo Galvão Martins   +1 more
wiley   +1 more source

Evaluation of the Power Demand for Economic Load Dispatch Problem Using Adaptive Neuro-Fuzzy Inference System and Artificial Neural Network

IEEE Access
The evaluation of power demand is fundamental in the Economic Load Dispatch problem, ensuring that the generated power meets the needs of consumers reliably and efficiently in planning system operations.
Somchat Jiriwibhakorn, Kamolwan Wongwut
doaj   +1 more source

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

Advanced Intelligent Systems, Volume 8, Issue 7, July 2026.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal, Jan Kubíček, Jana Bahrová, Alice Varyšová, Martin Augustýnek, Marek Penhaker, Juraj Timkovič   +6 more
wiley   +1 more source