Abstract: Satistical static timing analysis (SSTA) struggles with nonlinear MAX operations, which is crucial in block based statistical timing analysis. Most existing methods either incur high ...
Abstract: Offshore wind farms have emerged as a crucial component of renewable energy generation, offering higher energy production rates due to stronger and more consistent wind conditions. However, ...
Abstract: Many of today’s infrastructures, from transportation and healthcare to cloud computing and digital marketplaces, rely on algorithms that must act online, meaning they make decisions ...
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 ...
Abstract: The Internet of Things has transformed the healthcare sector through the introduction of the Internet of Medical Things (IoMT) technology. However, IoMT networks remain vulnerable to a wide ...
Abstract: Specialized recruiting firms have emerged as a result of the expansion of the Indian employment market. These agencies use machine learning models to expedite the hiring process and provide ...
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 field of computer science, sorting algorithms are crucial because they facilitate the effective processing and arrangement of data in a variety of scenarios, including data analysis, ...
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: Transformers are essential components of electrical power systems, representing a significant capital investment and requiring optimized designs to balance efficiency, cost, and performance.
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results