Results 71 to 80 of about 4,755 (217)
Connectivity Index of Fuzzy Rough Graphs with Applications to Uncertain Traffic Flow Networks
AxiomsThis paper introduces a connectivity index for fuzzy rough graphs that effectively integrates the mathematical frameworks of fuzzy set theory and rough set theory within graph-theoretic structures.
Dali Shi +3 more
doaj +1 more source
A comprehensive study of upward fuzzy preference relation based fuzzy rough set models: Properties and applications in treatment of coronavirus disease. [PDF]
Int J Intell Syst, 2021 Rehman N, Ali A, Liu P, Hila K.
europepmc +1 more source
Enhancing Specific Stiffness of Nano‐Architected Materials Through Generative AI and Active Learning
Advanced Science, EarlyView.A structure‐centric generative framework searches voxelated design space directly, coupling a variational autoencoder with multi‐objective optimization and active learning to progressively expand the validated design domain. The discovered nano‐architectures, realized as pyrolytic carbon by two‐photon lithography, deliver 18–23% higher stiffness and 26–
Jinwook Yeo +4 more
wiley +1 more source
HeliyonAs the increasing environmental issues, various companies have take initiatives to produce green products or to select green suppliers which maximize the business performance and minimize the environmental pollution.
Muhammad Yahya +4 more
doaj +1 more source
Advanced Science, EarlyView.Probabilistic Ising machines are introduced as hardware‐native Gaussian samplers for edge communication workloads. Tunable variance and sampling density enable accurate distributions for Falcon‐class post‐quantum signatures and diffusion‐based semantic communication.
Davi Rodrigues +10 more
wiley +1 more source
Advanced Science, EarlyView.This Perspective charts the modeling landscape for soft manipulators, spanning sparse system identification, neural dynamics, physics‐informed models and hybrid intelligence. We examine how physics, data, sensing, adaptation and control can assume complementary roles within this landscape, and provide a framework for selecting modeling approaches ...
Wenbo Hui +4 more
wiley +1 more source
Highly Linear Perovskite Synapses for Neuromorphic Computing
Advanced Science, EarlyView.Voltage spikes applied to an Au/ACI‐phase perovskite/ITO memristor emulate the ionic signaling of a biological synapse, generating a tunable postsynaptic current. The vertically aligned perovskite film confines iodide‐vacancy migration, enabling highly linear, and symmetric conductance updates with 100 states and 5.5 aJ per event. Such synapses sustain
Zhongwen Sun +7 more
wiley +1 more source
Advanced Science, EarlyView.Negative‐gauge‐factor materials reverse the usual rule of piezoresistive sensing: their resistance falls, rather than rises, under deformation. This review organizes such behavior into four mechanistic classes spanning intrinsic semiconductors, composites, conducting polymers, and engineered architectures.
Su‐Hyeong Lee +2 more
wiley +1 more source
Label‐Free Super‐Resolution Imaging Using Non‐Linear Exogenous Photon Avalanche Backlight
Advanced Science, EarlyView.Transmission avalanche backlight (TAB) microscopy turns a photon‐avalanching Tm3+:LiYF4 crystal into a nonlinear luminescent backlight. Weak attenuation by a transparent sample is amplified into strong emission modulation: image contrast increases with sample attenuation and avalanche nonlinearity (N), while the effective point spread function narrows ...
S. Karmegam +5 more
wiley +1 more source
Stochastic‐MTJ Sampler Arrays for In‐Array Monte–Carlo Estimation
Advanced Electronic Materials, EarlyView.A low‐energy‐barrier magnetic tunnel junction array is operated as a probability‐domain sampler: each cell's random switching, programmed through a shared digital‐to‐analog converter, makes the per‐column multiply–accumulate an unbiased Monte–Carlo expectation estimator that returns both a mean and a calibrated uncertainty.
Ran Zhang +6 more
wiley +1 more source