Allodynia,Channel Conductance,Current Response,Drain Current,Electrochemical Transistors,Gate Electrode,Gelatin Methacryloyl,Harmful Stimuli,Humanoid Robot ...
Abstract: This work presents a general framework for nonlinear systems subject to disturbances using disturbance observer based control (DOBC) techniques. A two-stage design procedure to improve ...
Angular Velocity,Autonomous Navigation,Classical Computer,Computer Vision,Convolutional Neural Network,Deep Learning-based Models,Global Positioning System,Gross ...
Collection Of Papers,Information Retrieval,Language Model,Large Language Models,Latent Dirichlet Allocation,Non-negative Matrix Factorization,Optimal Parameter Values ...
Abstract: SAR calibration is one of the most important technique of measurable observation and to calibrate SAR images to normalized radar cross sections (NRCS) a calibration constant is required.
Angle Of Arrival,Angular Distance,Antenna Array,Arrival Of Signal,Coherent Signal,Coherent Sources,Covariance Matrix,Decomposition Of The Covariance Matrix,Direction Of Arrival,Direction Of Arrival ...
Comparable Prediction Accuracy,Computer Vision,Contact Force,Deep Learning-based Models,Dynamic Model,Encoder-decoder Model,Force Generation,Gated Recurrent Unit,Graph Neural Networks,Hidden ...
Abstract: This paper aims at defining the expression of the probability of error of classification methods using a synthetic aperture radar (SAR) intensity ratio as a ...
Acoustic Waves,Additive Noise,Autonomous Underwater Vehicles,Azimuth Angle,Current Simulation,Echosounder,Field Of View,Multibeam Echosounder,Noise Model,Normal ...
Abstract: This study develops the theory to enumerate the reachable states of marked graphs that are a simple subclass of Petri nets where every place has a single input and output transition without ...
Abstract: We propose a data-hardened architecture for military digital twins that can enable resilient, integrated warfare under contested environments. We first elicit the foundational requirements ...
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