Results 61 to 70 of about 8,169 (234)
ADAPTIVE NEURO-FUZZY COMPUTING TECHNIQUE FOR PRECIPITATION ESTIMATION
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 +2 more
doaj +1 more source
Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella +5 more
wiley +1 more source
Efficient water management in agriculture is crucial due to dynamic environmental conditions and increasing resource scarcity. Fuzzy Inference System (FIS) is widely applied in irrigation control for its ability to handle uncertaintys using rule-based domain knowledge.
Abdurohman Abdurohman +4 more
openaire +1 more source
Adaptive Neuro-Fuzzy Inference System (ANFIS) for Controlling Level and Pressure on Deaerator
DDeaerator is one of the most widely used plants in the chemical industry and marine steam power plant. Deaerator is used to eliminate oxygen in water that enters the boiler to avoid corrosion of the boiler pipes. Control of pressure and level in deaerator needs to be done to keep the process well.
Sumardi Sumardi +2 more
openaire +1 more source
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 +2 more
doaj +1 more source
Advanced activated carbons with high capacitance for supercapacitors and substantial hydrogen storage, underscoring their promise for multifunctional energy systems. ABSTRACT Activated carbon (AC) materials, characterized by their high surface area, diverse pore structure, and excellent electrical conductivity, have proven to be highly efficient and ...
Monjur Mourshed +3 more
wiley +1 more source
The graphical abstract illustrates how different membership functions influence the performance of ANFIS when applied to nonlinear system control, demonstrating clear variations in overshoot, settling behavior, and training accuracy across the four MF types.
Daniel Arega Mengesha
wiley +1 more source
ADAPTIVE FUZZY LOGIC SPEED CONTROLLER WITH TORQUE ADAPTED GAINS FUNCTION FOR PMSM DRIVE [PDF]
This paper presents a 15 rules-base Function Torque Adapted Gain Fuzzy Inference System (FTAGFIS) adaptive speed controller for the Permanent Magnet Synchronous Motor (PMSM).
MUTASIM NOUR, SHIREEN Y.M. TOO
doaj
Research frontiers in using biochar for heavy metal remediation. Abstract Heavy metal contamination of water has long been a serious environmental issue. Biochar and biochar‐based composites are emerging as effective and sustainable solutions for heavy metal removal due to their strong adsorption abilities and environmentally friendly nature.
Soumik Chakma +4 more
wiley +1 more source
Um modelo de rede neuro-fuzzy baseada em funções de base radial capaz de inferir regras do tipo Mamdani [PDF]
Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico, Programa de Pós-Graduação em Ciência da Computação, Florianópolis, 2015.Este trabalho tem como objetivo apresentar um novo sistema de inferência neuro-fuzzy, chamado ...
Rodrigues, Diego Garcia
core

