Results 71 to 80 of about 115,779 (267)
Memristive‐Gated RC‐Delay Synaptic Transistors for Time‐Encoded Analog in‐Memory Computing
Advanced Functional Materials, EarlyView.A Memristive‐Gated Transistor for Time‐Encoded Analog In‐Memory Computing — By exploiting the RC delay of a self‐rectifying interface‐type memristor, nonlinear I–V distortion is structurally bypassed, enabling 3‐bit nonvolatile memory, spike‐timing‐based analog encoding, and hardware‐calibrated reservoir‐computing validation within a unified device ...
Yun‐Seo Shin +7 more
wiley +1 more source
Gong-kuang zidonghua, 2014 The paper proposed a fault line selection method of small current grounding system based on wavelet de-noising and improved RBF neural network. Fault information matrix is obtained after normalization processing for maximum of absolute value of de-noised
WANG Xiaowei +3 more
doaj +1 more source
Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery
Advanced Functional Materials, EarlyView.Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang +3 more
wiley +1 more source
IMPLEMENTASI BACKPROPAGATION NEURAL NETWORK DALAM PRAKIRAAN CUACA DI DAERAH BALI SELATAN
E-Jurnal Matematika, 2016 Weather information has an important role in human life in various fields, such as agriculture, marine, and aviation. The accurate weather forecasts are needed in order to improve the performance of various fields.
I MADE DWI UDAYANA PUTRA +2 more
doaj +1 more source
Advanced Functional Materials, EarlyView.Top‐down ultrasonication produces highly emissive Cs2ZrCl6:Te4+ nanocrystals (NCs) with a PLQY of 65%, which is higher compared to that of the NCs synthesized by typical bottom‐up hot‐injection synthesis. The colloidal Cs2ZrCl6:Te4+ NCs have been found to be potential candidates for x‐ray scintillation imaging.
Yang Liu +12 more
wiley +1 more source
PLoS ONEInterdependent networks structurally influence each other so that the source network imposes hidden community structures into the target network. We propose a mathematical model so that when introducing an interlayer similarity function we generalize ...
Jamshid Ardalankia +3 more
doaj +1 more source
Applied Sciences, 2019 A new method using a deep neural network (DNN) model is proposed to predict the ore production and crusher utilization of a truck haulage system in an underground mine. An underground limestone mine was selected as the study area, and the DNN model input/
Jieun Baek, Yosoon Choi
doaj +1 more source
, 2014 We discuss how to build sparse one hidden layer MLP replacing the standard l2 weight decay penalty on all weights by an l1 penalty on the linear output weights. We will propose an iterative two step training procedure where the output weights are found using FISTA proximal optimization algorithm to solve a Lasso-like problem and the hidden weights are ...
Torres Barrán, Alberto +2 more
openaire +2 more sources
An Adaptive Inhibitory WSe2 Transistor for Retinomorphic In‐Sensor Image Processing
Advanced Functional Materials, EarlyView.Conventional retinomorphic devices typically require deliberate gate‐bias tuning for each illumination condition. In this paper, we demonstrate an adaptive inhibitory WSe2 transistor that uses photo‐induced regime shift between the subthreshold and accumulation modes to achieve decision‐free, intensity‐adaptive image processing within a single pixel ...
Juhwan Baek +12 more
wiley +1 more source
Numerical simulation of nonlinear Li´enard’s equation via Morgan–Voyce even Fibonacci neural network [PDF]
Iranian Journal of Numerical Analysis and OptimizationIn the current study, we design a new computational method to solve a class of Li´enard’s equations. This equation originates from advancements in radio and vacuum tube technology.
P. Rahimkhani, R. Moeti
doaj +1 more source