Results 101 to 110 of about 217,698 (308)
Justifying the prediction of major soil nutrients levels (N, P, and K) in cabbage cultivation
MethodsXIn a recent paper by Sajindra et al. [1], the soil nutrient levels, specifically nitrogen, phosphorus, and potassium, in organic cabbage cultivation were predicted using a deep learning model.
Thilina Abekoon +5 more
doaj +1 more source
Enhancing Convolutional Neural Network Performance through Optimized Sigmoid Activation Function Modeling [PDF]
, 2023 Y. Jin Youn, Jin-Keun Hong
openalex +1 more source
Spatiotemporal Reservoir Computing with a Reconfigurable Multifunctional Memristor Array
Advanced Materials, EarlyView.This study presents a hardware physical reservoir computing system using a tri‐modal memristive crossbar array. Stochastic masking, bistable nonlinear activation, and analog readout enable fully in‐memory spatiotemporal processing. Demonstrations on cellular automata, Lorenz prediction, ADHD EEG classification, and chaotic KS modeling highlight its ...
Sungho Kim +10 more
wiley +1 more source
IEEE AccessOutdoor computer vision systems face significant challenges due to reduced visibility and severe color distortion in the images captured in sand-dust-affected environments. This study aims to improve the visibility of sand-dust-degraded images.
Muhammad Khawaja Kashif Masood +2 more
doaj +1 more source
Adaptive Plan Using Sigmoid Function for Nonlinear Topology Optimization
, 2021 Van‐Tinh Nguyen
openalex +1 more source
Advanced Materials, EarlyView.This work proposes neuromorphic visual receptive field hardware with vertically integrated amorphous In‐Ga‐Zn‐O optoelectronic memristors and Si neuron transistors for retina‐inspired visual processing. The visual receptive field array, comprising ON‐ and OFF‐type cells, facilitates edge detection, thereby enhancing perception in complex images, such ...
Hyun Wook Kim +7 more
wiley +1 more source
Parameter Estimation of Sigmoid Superpositions: Dynamical System Approach
, 2003 Superposition of sigmoid function over a finite time interval is shown to be equivalent to the linear combination of the solutions of a linearly parameterized system of logistic differential equations.
Prokhorov, Danil +2 more
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Learning Crystallographic Disorder: Bridging Prediction and Experiment in Materials Discovery
Advanced Materials, EarlyView.Machine learning based computational materials discovery workflows have recently proposed thousands of potentially stable crystalline materials. However, the experimental realization of these predictions is often challenging because the models assume perfectly ordered structures.
Konstantin S. Jakob +3 more
wiley +1 more source
Accuracy of Dynamic Modulus Models of Asphalt Mixtures Containing Reclaimed Asphalt (RA)
Applied SciencesThe dynamic modulus (∣E*∣) is a fundamental mechanical parameter for studying the performance of hot mix asphalt and simulating its viscoelastic behaviour under different loading and thermal conditions.
Majda Belhaj, Jan Valentin, Nicola Baldo
doaj +1 more source
Efficient Neural Network Robustness Certification with General Activation Functions
, 2018 Finding minimum distortion of adversarial examples and thus certifying robustness in neural network classifiers for given data points is known to be a challenging problem.
Chen, Pin-Yu +4 more
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