Results 41 to 50 of about 18,833,020 (162)

Box–Behnken optimization and ANN‐ANFIS integrated modelling for transesterification using thermally activated basic oxygen furnace slag catalyst

The Canadian Journal of Chemical Engineering, Volume 104, Issue 11, Page 5991-6006, November 2026.
Abstract Global energy demand and environmental concerns have intensified the search for renewable and sustainable energy sources. This study thus, focuses on optimizing the transesterification process of waste cooking oil (WCO) using thermally activated basic oxygen furnace slag catalyst calcined at 850°C (BOF 850). The optimization and modelling were
Johra S. Ali, Hillary L. Rutto
wiley   +1 more source

Response Simulation, Data Cleansing and Restoration of Dynamic and Static Measurements Based on Deep Learning Algorithms

International Journal of Concrete Structures and Materials, 2018
In this study, an output-based neuro controller was built based on the idea of the adaptive neuro-fuzzy inference system (ANFIS) and its capabilities in response simulation, data cleansing and restoration capability were verified using measurement data ...
Seok-Jae Heo, Zhang Chunwei, Eunjong Yu
doaj   +1 more source

Enhancing the Effectiveness of Forecasting the Foreign Exchange Reserves in Egypt, Using an Adaptive NeuroFuzzy Inference System [PDF]

The Egyptian Statistical Journal, 2014
The foreign exchange reserves play an important role in Egyptian economy among other resources. The objective of the paper is to elaborate on enhancing the Effectiveness of Forecasting the Foreign Exchange Reserves in Egypt using Adaptive Neuro Fuzzy ...
Rania Ahmed Hamed Mohamed
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

Machine condition prognosis using multi-step ahead prediction and neuro-fuzzy systems [PDF]

This paper presents an approach to predict the operating conditions of machine based on adaptive neuro-fuzzy inference system (ANFIS) in association with direct prediction strategy for multi-step ahead prediction of time series techniques. In this study,
Tran, Van Tung
core   +3 more sources

How AI and Digital Technologies Can Enhance Sustainable Livestock Manure Management: An Overview From Treatment to Distribution

Sustainable Development, Volume 34, Issue 6, Page 7966-7985, October 2026.
ABSTRACT Sustainable livestock manure management sits at the nexus of climate, nutrient circularity and water quality. This review explores how artificial intelligence (AI) and digital platforms are used across four management stages, that is, treatment, storage, valorisation and distribution, and figures out where integration fails to deliver ...
Zhan Shi, Feihong Liang, Francesco Marinello, Andrea Pezzuolo   +3 more
wiley   +1 more source

Adaptive-Neuro-Fuzzy-Based Information Fusion for the Attitude Prediction of TBMs

Sensors, 2020
In a tunneling boring machine (TBM), to obtain the attitude in real time is very important for a driver. However, the current laser targeting system has a large delay before obtaining the attitude.
Boning He, Guoli Zhu, Lei Han, Dailin Zhang   +3 more
doaj   +1 more source

Enhanced Control of 1.5 MW DFIG Generators in MRWT Systems Using GA‐Based PI‐ST‐SMC: Comparative Assessment With ST‐SMC

Wind Energy, Volume 29, Issue 10, October 2026.
ABSTRACT This paper proposes a novel genetic algorithm‐based proportional–integral super‐twisting sliding mode control (GA‐PI‐ST‐SMC) strategy for the rotor‐side converter of a 1.5 MW doubly‐fed induction generator (DFIG) operating in marine renewable wind turbine (MRWT) systems.
Habib Benbouhenni, Nicu Bizon, Zakaria Mohamed Salem Elbarbary, Saad F. Al‐Gahtani   +3 more
wiley   +1 more source

Quality Prediction of a Tunisian Virgin Olive Oil Based on the Effect of Climate Change Using ANFIS Method

European Journal of Lipid Science and Technology, Volume 128, Issue 9, September 2026.
ANFIS accurately predicted climate‐driven variations in oleic acid, chlorophyll, and phenolic contents of Tunisian Zalmati virgin olive oil, demonstrating its potential as a reliable tool for olive oil quality assessment under changing climatic conditions.
Ines Zarrad, Rania Ben Hmida, Afif Masmoudi, Fakhreddine Dammak, Mohamed Bouaziz   +4 more
wiley   +1 more source

Contingency Analysis of Transmission Lines Using Artificial Neural Networks (ANNs): A Case Study of the Ethiopian Southern Region 230 and 132 kV Transmission Network

Engineering Reports, Volume 8, Issue 9, September 2026.
Power System Contingency Analysis Procedure ABSTRACT In power system operation, contingency analysis (CA) is the systematic, proactive evaluation of credible, predefined events (such as the unplanned outage of a transmission line) to assess their potential impact on system security and reliability before they occur.
Temesgen Kasahun Sorato, Biniam Alemayeh Arba, Chala Merga Abdissa, Teshome Hambissa Dimbassa   +3 more
wiley   +1 more source