PROB-POS: A FRAMEWORK FOR IMPROVING VISUAL EXPLANATIONS FROM CONVOLUTIONAL NEURAL NETWORKS FOR REMOTE SENSING IMAGE CLASSIFICATION

Prob-POS: A Framework for Improving Visual Explanations from Convolutional Neural Networks for Remote Sensing Image Classification

During the Oral Pain Remedies And Miscellaneous past decades, convolutional neural network (CNN)-based models have achieved notable success in remote sensing image classification due to their powerful feature representation ability.However, the lack of explainability during the decision-making process is a common criticism of these high-capacity ne

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Estimation of the Time-Variant Velocity of a Single Walking Person in Two-Dimensional Non-Stationary Indoor Environments Using Radio-Frequency Techniques

Accurate estimation of the time-variant (TV) velocity of moving persons/objects in indoor spaces is of crucial importance for numerous wireless indoor applications.This article introduces a novel iterative procedure to estimate the TV velocity, i.e., TV speed and TV angle-of-motion (AOM), of a single moving person in 2D indoor environments by using

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