Abstract: This letter presents two new change detection (CD) methods for synthetic aperture radar (SAR) image stacks based on the Neyman–Pearson criterion. The first proposed method uses the data from ...
Abstract: In high-voltage dc-dc applications, the switches in the conventional two-level dual active bridge (DAB) dc-dc converter have to bear the whole port voltage, so high voltage switches should ...
Abstract: Large Language Models (LLMs) recently demonstrated extraordinary capability in various natural language processing (NLP) tasks including language translation, text generation, question ...
We report GaN p-n diodes on free-standing GaN substrates: a record high Baliga's figure-of-merit (V<;sub>B<;/sub><;sup>2<;/sup>/ Ron) of ...
Abstract: This amendment includes changes to IEEE Std 802.3-2022 and adds Clause 169 through Clause 173, Annex 172A, and Annex 173A. This amendment adds MAC parameters, Physical Layers, and management ...
Abstract: This paper presents ORB-SLAM, a feature-based monocular simultaneous localization and mapping (SLAM) system that operates in real time, in small and large indoor and outdoor environments.
Abstract: Lithium ion batteries should always be prevented from overheating and, hence, thermal monitoring is indispensable. Since only the surface temperature of the battery can be measured, a ...
Abstract: Optogenetics is a powerful tool for controlling biological functions using light. Optical fibers have been extensively utilized in optical stimulation devices for optogenetics. However, the ...
Abstract: In spite of the increasing use of machine learning techniques, in-memory computing and hardware have increased the interest to accelerate neural network operation. Henceforth, novel embedded ...
Abstract: It is essential for the robot manipulator to adapt to unexpected events and dynamic environments while executing the physical contact-rich tasks. Although a range of methods have been ...
Abstract: Convolutional Neural Networks (CNN) and Graph Neural Networks (GNN), such as Graph Attention Networks (GAT), are two classic neural network models, which are applied to the processing of ...
Abstract: Poverty has appeared as one of the long-term predicaments facing development of human society during the 21st century. Estimation of regional poverty level is a key issue for making ...