Results 201 to 210 of about 585,872 (348)
Fixed point theorems for generalized α -β-weakly contraction mappings in metric spaces and applications. [PDF]
ScientificWorldJournal, 2014 Latif A, Mongkolkeha C, Sintunavarat W.
europepmc +1 more source
Predicting Performance of Hall Effect Ion Source Using Machine Learning
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park +8 more
wiley +1 more source
Common Coupled Fixed Point Theorems for Two Hybrid Pairs of Mappings under φ-ψ Contraction. [PDF]
Int Sch Res Notices, 2014 Deshpande B, Handa A.
europepmc +1 more source
Advanced Intelligent Systems, EarlyView.This review outlines how recurrent neural networks model multisensory integration by capturing temporal and probabilistic features of sensory input. Key developments, challenges, and future directions are summarized, providing insights into biologically inspired AI. Multisensory integration (MSI) is a core brain function underlying perception, learning,
Ehsan Bolhasani +2 more
wiley +1 more source
On best proximity pair theorems and fixed-point theorems
Abstract and Applied Analysis, 2003 P. S. Srinivasan, P. Veeramani
doaj +1 more source
Advanced Intelligent Systems, EarlyView.This article develops a soft magnetic sensor array to extract 3D and distributional muscle deformations, which has highly consistent measurements in amphibious environments, robustness to hydraulic pressure, and about 200 ms faster response than an inertial measurement unit, achieving over 98% classification accuracy and below 3% phase estimation ...
Yuchao Liu +8 more
wiley +1 more source
Some Random Fixed Point Theorems for Non-Self Nonexpansive Random Operators
, 2006 Poom Kumam, Somyot Plubtieng
openalex +1 more source
Kolmogorov–Arnold Network for Transistor Compact Modeling
Advanced Intelligent Systems, EarlyView.This work introduces Kolmogorov–Arnold network (KAN) for the transistor—an architecture that integrates interpretability with high precision in physics‐based function modeling. The results reveal that despite achieving superior prediction accuracy for critical figures of merit, KAN demonstrates unique inherent challenges for transistor modeling ...
Rodion Novkin, Hussam Amrouch
wiley +1 more source