Abstract: In recent years, the applications of broadband direct sequence spread spectrum (DSSS) communications based on low earth orbit (LEO) satellites have become increasingly widespread. The high ...
Artificial Intelligence (AI) is no longer a mysterious technological presence hiding behind screens; it is intertwined with the most intimate dimensions of who we are. From playlists on Spotify to ...
Abstract: With the improvement of people’s living standards, material needs have been satisfied, so attention has begun to be paid to mental health. Among them, adolescents due to adolescence, mental ...
Abstract: Due to the ongoing advancements in small unmanned systems (SUSs), the field of study on detecting targets with small radar cross section (RCS) areas is constantly expanding. Due to their ...
Abstract: In the context of radar electronic countermeasures, this paper addresses the issue of mainlobe deception jamming signals by proposing a two-step underdetermined blind source separation (UBSS ...
Abstract: In the research on the security verification technology of information nodes in cyberspace, the balance accuracy and operational stability are very important for the security of the entire ...
Abstract: The generation of traditional ophthalmic ultrasound examination reports primarily relies on clinicians manually entering information during procedures. This process is not only inefficient ...
Abstract: This study proposes a hybrid recommendation algorithm combining collaborative filtering and deep learning to improve the accuracy and efficiency of the recommendation system. First, the user ...
Abstract: This article aims to build a multi-dimensional and algorithm-based assessment system of enterprise information system, and verify its effectiveness and practicability. In order to achieve ...
aSydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia bThe Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia ...
They’re harnessing it to help directors prepare, debate, and decide. by Stanislav Shekshnia and Valery Yakubovich In 2014 Hong Kong–based Deep Knowledge Ventures formally appointed an algorithm to its ...
Abstract: Federated Learning (FL) has emerged as a transformative approach for training machine learning models across decentralized data sources while preserving privacy. This study evaluates the ...