Results 101 to 110 of about 31,665 (232)
Droplet‐based microfluidics enables precise, high‐throughput microscale reactions but continues to face challenges in scalability, reproducibility, and data complexity. This review examines how artificial intelligence enhances droplet generation, detection, sorting, and adaptive control and discusses emerging opportunities for clinical and industrial ...
Junyan Lai +10 more
wiley +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
OPTIMIZATION OF A FUZZY CONTROL DESIGN WITH RESPECT TO A PARALLEL MECHANISM WORKSPACE [PDF]
Disertační práce je zaměřena na využití fuzzy logiky při návrhu řízení paralelního mechanismu založeného na Stewartově platformě. Hlavním cílem je navrhnout řídicí systém, který zabezpečí provádění biomedicínských experimentů.
Andrš, Ondřej
core
Ranfis : Rough Adaptive Neuro-Fuzzy Inference System
The paper presents a new hybridization methodology involving Neural, Fuzzy and Rough Computing. A Rough Sets based approximation technique has been proposed based on a certain Neuro – Fuzzy architecture. A New Rough Neuron composition consisting of a combination of a Lower Bound neuron and a Boundary neuron has also been described.
Chandana, Sandeep, Mayorga, Rene V.
openaire +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
Background and Objective: One of the important environmental problems is the mass production of urban waste, which has increased per capita household waste production with the ever-increasing population growth; Therefore, nowadays, the use of ...
Samira Bagheri +3 more
doaj
Strong Convergence of Neuro-Fuzzy Learning With Adaptive Momentum for Complex System
This paper studies a split-complex-valued neuro-fuzzy algorithm for fuzzy inference system, which realizes a frequently used zero-order Takagi-Sugeno-Kang system. Here, adaptive momentum is utilized to speed up the learning convergence.
Yan Liu, Fang Liu, Long Li
doaj +1 more source
This graphical abstract compares circuit‐based, signal‐processing‐based, and intelligent‐learning‐based approaches for secondary arc‐fault detection, highlighting their key principles and practical advantages. ABSTRACT Reliable detection of free‐air electric arc faults in high‐voltage overhead transmission lines, together with accurate discrimination ...
Mahyar Abasi +2 more
wiley +1 more source
Intelligent Active Vibration Control for a Flexible Beam System [PDF]
YesThis paper presents an investigation into the development of an intelligent active vibration control (AVC) system. Evolutionary Genetic algorithms (GAs) and Adaptive Neuro-Fuzzy Inference system (ANFIS) algorithms are used to develop mechanisms of
Dahal, Keshav P. +3 more
core

