Results 181 to 190 of about 158,978 (298)
Fuzzy optimization of municipal solid waste collection routing under uncertain emissions. [PDF]
Zhang Y, Wei Y, Zhang B, Wu Y, Pan S.
europepmc +1 more source
Shape memory alloy wires exhibit thermally induced phase changes that generate actuation strain and resistance variations enabling self‐sensing. However, hysteretic electromechanical behavior complicates accurate state estimation. This paper presents an artificial in‐based self‐sensing method to reconstruct SMA actuator position in real time, achieving
Krunal Koshiya +2 more
wiley +1 more source
A hybrid deep learning and fuzzy logic framework for robust tomato disease detection and classification. [PDF]
Kumar S +8 more
europepmc +1 more source
Deep Learning Methods for Assessing Time‐Variant Nonlinear Signatures in Clutter Echoes
Motion classification from biosonar echoes in clutter presents a fundamental challenge: extracting structured information from stochastic interference. Deep learning successfully discriminates object speed and direction from bat‐inspired signals, achieving 97% accuracy with frequency‐modulated calls but only 48% with constant‐frequency tones. This work
Ibrahim Eshera +2 more
wiley +1 more source
A quickly compliant assembly method for annular parts based on adaptive insertion speed. [PDF]
Chu W, Zhou K, Xu T.
europepmc +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
Hybrid feature selection with novel deep learning model for COVID-19 risk prediction. [PDF]
P GS +5 more
europepmc +1 more source
Neural‐network pipeline for real‐time DLIP surface‐quality monitoring: spectral entropy of WLI topographies is used to generate interpretable K‐means labels, which are transferred to time‐resolved photodiode traces. A compact dual‐input 1D‐CNN (signal + laser parameters) learns discriminative spatiotemporal features and predicts “OK/NOK” surface ...
Marcelo Daniel Sallese +4 more
wiley +1 more source
Population-Level Analysis of Personalized Food Recommendation Using Reinforcement Learning. [PDF]
Tellechea Y +3 more
europepmc +1 more source
FUZZY RELIABILITY DESIGN WITH RANDOM VARIABLE AND FUZZY VARIABLE
openaire +1 more source

