Tech Xplore

New ensemble AI model enhances cyber intrusion detection with high accuracy

A study published in The Journal of Engineering Research at Sultan Qaboos University presents an advanced intrusion detection system (IDS) designed to improve the accuracy and efficiency of ...
Medical Xpress

Deep-learning algorithms enhance mutation detection in cancer and RNA sequencing

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning algorithms, ClairS-TO and Clair3-RNA, that significantly advance genetic ...
IEEE

Key in the Pocket: Intelligent Key Recovery with Genetic Algorithm in Correlation-enhanced Collision Attacks

Abstract: By introducing collision information, the existing side-channel Correlation-Enhanced Collision Attacks (CECAs) performed collision-chain detection, quickly filtered out candidates ...
Frontiers

iAPF: an improved artificial potential field framework for asymmetric dual-arm manipulation with real-time inter-arm collision avoidance

This paper presents a robust vision-based motion planning framework for dual-arm manipulators that introduces a novel three-way force equilibrium with velocity-dependent stabilization. The framework ...
Scientific Research Publishing

Goldstein, M. and Uchida, S. (2016) A Comparative Evaluation of Unsupervised Anomaly Detection Algorithms for Multivariate Data. PLOS ONE, 11, e0152173.

ABSTRACT: Purpose: The purpose of this study is to develop a scalable, risk-aware artificial intelligence (AI) framework capable of detecting financial fraud in high-throughput digital transaction ...
IEEE

Parallel Collision Detection Algorithm Based on Pipeline Technology

Abstract: This paper presents a parallel collision detection algorithm based on pipeline technology. The partition strategy is adopted to establish the collision detection queue, the processor is ...