Abstract: The mining of heterogeneous distributed data is a key technology for insight data traceability and classification feature analysis. A heterogeneous distributed data mining method based on ...
Abstract: Optimizing Minimum Spanning Tree (MST) techniques improve large data graph processing. Developing improved methods to manage large-scale data set computational complexity is the goal. To ...
Abstract: The quick expansion of software development necessitates effective tools for automating monotonous coding jobs, yet existing solutions frequently fall short in producing accurate codes from ...
Abstract: This study utilizes decision tree and logistic regression models to explore the factors contributing to medical claim denials and identify areas for improvement. We adapt undersampling ...
Abstract: Web tracking has become a key tool for service providers to collect online data and analyze user behaviors, raising concerns about the privacy of Internet users. In this paper, we propose a ...
Abstract: This paper investigates the multi-task path planning problem for Autonomous Underwater Vehicle in complex three-dimensional marine environments. Traditional marine monitoring methods are ...
Trump approved a deal handing control of TikTok’s U.S. algorithm to Oracle. Oracle will rebuild, retrain, and monitor the algorithm without ByteDance involvement. The new U.S.-based TikTok venture ...
Abstract: In recent years, Low Earth Orbit (LEO) satellite signals of opportunity (SOPs) positioning technology has emerged a significant alternative to the Global Navigation Satellite System (GNSS), ...
This project proposes the development and mentorship of a hybrid quantum-classical algorithmic framework to solve the Minimum Steiner Tree problem, a fundamental combinatorial optimization challenge ...
Abstract: Instruction decoders are indispensable components of the System-on-Chip design flow and major constituents of instruction set simulators and processor toolchains. The complex and lengthy ...
Abstract: For globally coupled low density parity check (GCLDPC) codes, the normalized Min-Sum (NMS) algorithm is a widely-used decoding algorithm but suffers from the degraded performance and the ...