Results 51 to 60 of about 18,833,020 (162)

PMU‐Based Wide Area Monitoring With Machine Learning to Prevent Blackouts in Bangladesh Power System

Energy Science &Engineering, Volume 14, Issue 9, Page 4422-4437, September 2026.
A Unified Real‐time Dynamic State Measurements (URTDSM) system with PMU and Phasor Data Concentrator (PDC) deployment plan has been proposed to avoid blackout in the Bangladeshi power system. Machine learning has been used to process data from PMU to identify abnormal events. ABSTRACT The electrical power system must be trustworthy and secure enough to
Imi Bintey Fariha Rahman, Md. Minarul Islam, Md. Shahin Parvej, Abdul Hasib Chowdhury, Taha Selim Ustun, Kashem M. Muttaqi   +5 more
wiley   +1 more source

Fault Detection of Electric Motors via Symmetrized Dot Pattern‐Based Features

International Journal of Mechanical System Dynamics, Volume 6, Issue 3, Page 445-459, September 2026.
ABSTRACT This study proposes a novel symmetrized dot pattern (SDP) approach using designed SDP‐based features, extracted from transformed vibration signals, for fault detection. These features describe the compactness, inclination, and shape of the “snowflake” diagram distributions.
Mario Spirto, Pierangelo Malfi, Armando Nicolella, Francesco Melluso, Chiara Cosenza, Sergio Savino, Vincenzo Niola   +6 more
wiley   +1 more source

A Study of Panel Logit Model and Adaptive Neuro-Fuzzy Inference System in the Prediction of Financial Distress Periods [PDF]

, 2010
The purpose of this paper is to present two different approaches of financial distress pre-warning models appropriate for risk supervisors, investors and policy makers. We examine a sample of the financial institutions and electronic companies of Taiwan
Giovanis, Eleftherios
core  

Thermal error modelling of machine tools based on ANFIS with fuzzy c-means clustering using a thermal imaging camera [PDF]

, 2015
Thermal errors are often quoted as being the largest contributor to CNC machine tool errors, but they can be effectively reduced using error compensation.
Longstaff, Andrew P., Fletcher, Simon, Abdulshahed, Ali, Myers, Alan, Abdulshahed, Ali M.   +4 more
core   +1 more source

ADAPTIVE NEURO-FUZZY COMPUTING TECHNIQUE FOR PRECIPITATION ESTIMATION

Facta Universitatis. Series: Mechanical Engineering, 2016
The paper investigates the accuracy of an adaptive neuro-fuzzy computing technique in precipitation estimation. The monthly precipitation data from 29 synoptic stations in Serbia during 1946-2012 are used as case studies.
Dalibor Petković, Milan Gocić, Shahaboddin Shamshirband   +2 more
doaj   +1 more source

Categorical Boosting‐PSO: A SHAP‐Interpretable Hybrid Framework for High‐Fidelity Wax Appearance Temperature Prediction in Subsea Pipelines

Engineering Reports, Volume 8, Issue 8, August 2026.
CatBoost–PSO accurately predicts wax appearance temperature from oil density, wax content, and pour point temperature, achieving R2 = 0.9760 and RMSE = 1.8106 K. External validation, SHAP interpretation, and low computational cost support rapid wax‐risk screening for subsea pipeline flow assurance.
H. M. Rayhan Rifat, Abdullah Abduljabbar, Mysara Eissa Mohyaldinn   +2 more
wiley   +1 more source

A control structure for ambidextrous robot arm based on Multiple Adaptive Neuro‐Fuzzy Inference System

IET Control Theory & Applications, 2021
This paper presents the novel design of an ambidextrous robot arm that offers double range of motion as compared to dexterous arms. The arm is unique in terms of design (ambidextrous feature), actuation (use of two different actuators simultaneously ...
Mashood Mukhtar, Dhayaa Khudher, Tatiana Kalganova   +2 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

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

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