Abstract: As a promising urban shared transport mode, the Customized Bus (CB) system has the potential to improve diversity and service quality in urban transportation. This paper is driven by the ...
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: 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: 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: Retrieval-augmented generation (RAG) is used in natural language processing (NLP) to provide query-relevant information in enterprise documents to large language models (LLMs). Such ...
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 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: Transformers are essential components of electrical power systems, representing a significant capital investment and requiring optimized designs to balance efficiency, cost, and performance.
Abstract: The progress in Natural Language Processing (NLP) using Large Language Models (LLMs) has greatly improved medical sentiment analysis of patient feedback extraction from health-related ...
Abstract: This article proposed a system that uses the CORDIC algorithm to compute the sine and cosine functions of floating-point parameters in an area and power-efficient manner. In order to ...
Abstract: Rotation invariance is a crucial requirement for the analysis of 3D point clouds. However, current methods often achieve rotation invariance by employing specific network designs. These ...
Abstract: To address the nonlinear, multimodal, and computationally intensive challenges inherent in the optimal design of metasurface absorbers for radio frequency (RF) energy harvesting, we propose ...