This study presents valuable findings for identifying biotypes of depression patients using white matter measures, which are under-utilised and under-appreciated in current biological and ...
Explore how zero-knowledge proofs (ZKPs) secure Model Context Protocol (MCP) deployments with privacy-preserving validation and post-quantum resistance.
Abstract: Imbalanced data remains a challenge in classification research and significantly influences classifier performance. The strategy that is widely used to address this issue is the data-level ...
Introduction Incidental pulmonary nodules (IPNs) are commonly encountered on chest radiographs (CXRs) performed for routine clinical indications and may represent early manifestations of significant ...
Abstract: In view of the limited feature points extracted by traditional algorithms in heterogeneous remote sensing image matching, resulting in a small number of successfully matched point pairs and ...
This project focuses on developing a custom clustering algorithm to analyze wine data, providing an alternative to conventional machine learning techniques. The primary objective is to group wine ...
Solutions and sample code from "Data structures and algorithms" course in Sofia University, Faculty of Mathematics and Informatics - NaskoIT/Data-Structures-And-Algorithms ...
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