Results 71 to 80 of about 18,832,098 (170)

Fruit production forecasting by neuro-fuzzy techniques [PDF]

Neuro-fuzzy techniques are finding a practical application in many fields such as in model identification and forecasting of linear and non-linear systems.
Atsalakis, Ioanna G., Atsalakis, George S.   +1 more
core  

Enhanced distance protection for HVDC lines using adaptive neuro-fuzzy inference systems.

PLoS ONE
Accuracy and speed of fault detection are crucial to the performance of DC transmission systems. In this paper, a novel approach is proposed for fault detection, classification, and localization in high-voltage DC transmission lines (HVDC-TLs).
A M Hamada, M I Abdel-Fattah, Ali M El-Rifaie, Fahmi Elsayed, Mohsen A M El-Bendary, Tamer A A Ismail, Ijaz Ahmed, M M R Ahmed   +7 more
doaj   +1 more source

Challenges and Strategies in Interviewing People With Acquired Brain Injury and Communication Impairment in Qualitative Interview Studies: A Secondary Analysis of Interview Data

Journal of Clinical Nursing, Volume 35, Issue 11, Page 5084-5098, November 2026.
ABSTRACT Aims To explore challenges involved in designing and conducting qualitative interviews with people with communication impairment due to acquired brain injury, as well as analysing data from such interviews, and to map strategies used to facilitate participation. Design Secondary analysis of qualitative interview data.
Henrietta Gustavsson, Eva Jangland, Lena Nyholm   +2 more
wiley   +1 more source

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM FOR END MILLING [PDF]

Journal of Engineering Science and Technology, 2016
Soft computing is commonly used as a modelling method in various technological areas. Methods such as Artificial Neural Networks and Fuzzy Logic have found application in manufacturing technology as well. NeuroFuzzy systems, aimed to combine the benefits
ANGELOS P. MARKOPOULOS, SOTIRIOS GEORGIOPOULOS, MYRON KINIGALAKIS, DIMITRIOS E. MANOLAKOS   +3 more
doaj  

Rainfall Forecasting in Banyuwangi Using Adaptive Neuro Fuzzy Inference System

JITeCS (Journal of Information Technology and Computer Science), 2017
Rainfall forcasting is a non-linear forecasting process that varies according to area and strongly influenced by climate change. It is a difficult process due to complexity of rainfall trend in the previous event and the popularity of Adaptive Neuro ...
Gusti Ahmad Fanshuri Alfarisy, Wayan Firdaus Mahmudy   +1 more
doaj   +1 more source

Phantom citations: An empirical study of non‐existent and unverifiable references in scholarly literature

Journal of the Association for Information Science and Technology, Volume 77, Issue 10, Page 1287-1316, October 2026.
Abstract The integrity of scholarly communication depends critically on the accuracy and verifiability of cited references. Citations enable readers to trace prior work, assess evidence, and situate new contributions within the existing literature. However, concerns have emerged regarding the presence of references in published papers that cannot be ...
Chengcheng Han, Sathiamoorthy Manoharan, Xinfeng Ye, Ulrich Speidel   +3 more
wiley   +1 more source

Data-Driven Fault Diagnosis in Water Pipelines Based on Neuro-Fuzzy Zonotopic Kalman Filters

Mathematical and Computational Applications
This work presents a data-driven approach for diagnosing sensor faults and leaks in hydraulic pipelines using neuro-fuzzy Zonotopic Kalman Filters (ZKF).
Esvan-Jesús Pérez-Pérez, Yair González-Baldizón, José-Armando Fragoso-Mandujano, Julio-Alberto Guzmán-Rabasa, Ildeberto Santos-Ruiz   +4 more
doaj   +1 more source

Prediction in Photovoltaic Power by Neural Networks

Energies, 2017
The ability to forecast the power produced by renewable energy plants in the short and middle term is a key issue to allow a high-level penetration of the distributed generation into the grid infrastructure. Forecasting energy production is mandatory for
Antonello Rosato, Rosa Altilio, Rodolfo Araneo, Massimo Panella   +3 more
doaj   +1 more source

A State‐of‐the‐Art Comprehensive Review: Application of Artificial Intelligence in Predicting the Load‐Bearing Capacity of Piles

Engineering Reports, Volume 8, Issue 10, October 2026.
This graphical abstract provides a systematic bibliometric and thematic dissection of artificial intelligence applications for predicting pile load‐bearing capacity, synthesized from 135 rigorously selected studies published across the past three decades.
Mohammadreza Ahmadi Golsefidi, Mahzad Esmaeili‐Falak   +1 more
wiley   +1 more source

Learning fuzzy inference systems using an adaptive membership function scheme [PDF]

, 1996
An adaptive membership function scheme for general additive fuzzy systems is proposed in this paper. The proposed scheme can adapt a proper membership function for any nonlinear input-output mapping, based upon a minimum number of rules and an initial ...
Tsoi A.C., Lotfi, A, Lotfi A., Tsoi, AC
core   +1 more source