Abstract: The adoption of deep neural networks for profiled side-channel attacks provides powerful options for leakage detection and key retrieval of secure products. Although deep learning is being ...
Overview AI systems use sensors and computer vision to detect pests and diseases early, reducing crop damage and yield losses ...
February 13, 2026. This webinar describes how Deep Learning methods can be used for object detection and segmentation in high resolution drone imagery using ArcGIS Pro.
Abstract: In this study, a visualization teaching platform based on deep learning algorithms is designed and implemented to address the problems of abstract concepts and esoteric theories in linear ...
Abstract: The deep learning framework for facial emotion recognition (FER) using a convolutional neural network (CNN) architecture is described in this research. The model uses data augmentation and ...
Abstract: The purpose of this study is to explore the application of Deep learning (DL) in autonomous flight path planning of UA V, and improve the autonomous navigation and flight ability of UA V in ...
The discovery of the rotational Doppler effect (RDE) has opened new opportunities for detecting parameters of rotating targets. In recent years, the physical mechanisms underlying this effect have ...
Abstract: This paper presents a hybrid algorithm for real-time instance segmentation of packages from scenes represented by 2D distance maps (range images). The paper introduces a novel approach ...
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