Abstract: Nitrogen-vacancy (NV) centers in diamond have emerged as promising platforms for quantum magnetic field measurement. Conventional NV-based magnetometry requires precise alignment with field ...
Angular Velocity,Autonomous Navigation,Classical Computer,Computer Vision,Convolutional Neural Network,Deep Learning-based Models,Global Positioning System,Gross ...
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 ...
Collection Of Papers,Information Retrieval,Language Model,Large Language Models,Latent Dirichlet Allocation,Non-negative Matrix Factorization,Optimal Parameter Values,Quantitative ...
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.
Acoustic Waves,Additive Noise,Autonomous Underwater Vehicles,Azimuth Angle,Current Simulation,Echosounder,Field Of View,Multibeam Echosounder,Noise Model,Normal ...
Abstract: This progress report provides an update on the recent advancements SMPTE’s Rapid Industry Solutions (RiS) initiative, focusing on the On-Set Virtual Production (OSVP) and Open Services ...
Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=18 ...
In current formal verification practice, information sharing is common across engines attempting to prove multiple formal properties. Recent literature attempts to address multi-property verification ...
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 ...
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