Results 71 to 80 of about 15,321 (232)

Computational intelligence model for predicting the compressive strength of FRP‐confined concrete column

Structural Concrete, EarlyView.
Abstract Fiber reinforced polymer (FRP) wrapping technology is commonly used to enhance the compressive strength (CS) of reinforced concrete (RC) members. Accurate prediction of the compressive strength of FRP‐confined concrete columns is crucial for optimizing structural design and helps reduce the time and costs associated with physical testing ...
XuanRui Yu, Nima Khodadadi, Anxiang Song, Tianyu Hu, Yang Yu, Antonio Nanni   +5 more
wiley   +1 more source

Enhanced estimation and short-term forecasting of output power of a solar photovoltaic plant using adaptive neuro-fuzzy inference system (ANFIS)

Journal of Electrical Systems and Information Technology
Estimation and forecasting the power of the PV system is very important to the stability of the grid and the management of the energy. The most accurate and least computational methods are those that researchers aspire to develop for predicting the power.
Abdel-Nasser Sharkawy, Belkacem Bekhiti
doaj   +1 more source

Quantification of steroid hormones in free‐ranging Apennine wolf Canis lupus italicus hair samples collected post‐mortem

Wildlife Biology, EarlyView.
After decades of dramatic reductions in their populations, Italian wolves have begun recolonizing parts of their historic range. This growth in populations can lead to potential conflicts with human activities, which remain the main cause of wolf mortality.
Ilaria Troisio, Carmela Musto, Nicola Acquisti Casi, Nadia Govoni, Giuseppe Merialdi, Domenico Ventrella, Alberto Elmi, Mauro Delogu, Maria Laura Bacci   +8 more
wiley   +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

Bridging the implementation gap in MCABC inventory management: from a taxonomy to practical archetypes

International Transactions in Operational Research, EarlyView.
Abstract Despite increasing demands for resilient and sustainable supply chains, inventory management often relies on outdated single‐criterion analyses. While multi‐criteria ABC (MCABC) analyses provide a theoretically mature assessment of resilience‐sustainability‐benefit trade‐offs in inventory, their adoption remains limited due to fragmented ...
Lukas Grützner, Michael H. Breitner
wiley   +1 more source

Rainfall Pattern Forecasting Using Novel Hybrid Intelligent Model Based ANFIS-FFA

, 2017
In this study, a new hybrid model integrated adaptive neuro fuzzy inference system with Firefly Optimization algorithm (ANFIS-FFA), is proposed for forecasting monthly rainfall with one-month lead time.
Siddique, Ridwan, Mazen Ismaeel Ghareb, Hossein Bonakdari, Ali A. Yusif, Ebtehaj, Isa, Bonakdari, Hossein, Ravinesh Deo, Zaher Mundher Yaseen, Yaseen, Zaher Mundher, Ghareb, Mazen Ismaeel, Yusif, Ali A., Salim Heddam, Isa Ebtehaj, Ridwan Siddique, Heddam, Sali, Deo, Ravinesh   +15 more
core   +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

PD Pattern Recognition Using ANFIS [PDF]

2008 Annual Report Conference on Electrical Insulation and Dielectric Phenomena, 2008
An application of an adaptive neuro-fuzzy inference system (ANFIS) has been investigated for partial discharge (PD) pattern recognition. The proposed classifier was used to discriminate between PD patterns occurring in internal voids. Three different void shapes were considered in this work, namely flat, square and narrow.
Nikola Chalashkanov, N. Kolev, S. Dodd, J.C. Fothergill   +3 more
openaire   +3 more sources

Development of Hybrid Optimization for Drilling Performance in Magnesium Alloy AM60 Using Biodegradable MQL and Taguchi–MABAC Approach

Engineering Reports, Volume 8, Issue 7, July 2026.
This study optimizes drilling performance in magnesium alloy AM60 using biodegradable MQL and a hybrid Taguchi–MABAC approach. It demonstrates that biodegradable MQL significantly improves material removal rate, surface finish, and tool wear, offering a sustainable alternative to traditional lubricants for precision machining in aerospace and ...
S. P. Sundar Singh Sivam, Venugopal Gurusamy Umasekar, Stalin Kesavan, A. Johnson Santhosh   +3 more
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