With the widespread application of energy storage stations, BMS has become an important subsystem in modern power systems, leading to an increasing demand for improving the accuracy of SOC prediction ...
Recent advances in image data proccesing through deep learning allow for new optimization and performance-enhancement schemes for radiation detectors and imaging hardware. This enables radiation ...
TL;DR: Mobile-Seed is an online framework for simultaneous semantic segmentation and boundary detection on compact robots. Abstract: Precise and rapid delineation of sharp boundaries and robust ...
This paper presents a novel knowledge graph question answering (KGQA) system for chemistry, which is implemented on hybrid knowledge graph embeddings, aiming to provide fact-oriented information ...
Fiscal Year 2021 brought a record number of migrants on H-2A Visas to the United States. Dr. Philip Martin provides demographic analysis of these visa recipients, and provides suggestions on how to ...
Structural finite-element analysis (FEA) has been widely used to study the biomechanics of human tissues and organs, as well as tissue-medical device interactions, and treatment strategies. However, ...
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