Personalized algorithms may quietly sabotage how people learn, nudging them into narrow tunnels of information even when they start with zero prior knowledge. In the study, participants using ...
Hybrid Quantum-Classical Algorithm for an Integrated Feature Selection and Logistic Regression Model
Abstract: Feature selection is a pivotal step in machine learning, aimed at reducing feature dimensionality and improving model performance. Conventional feature selection methods, typically framed as ...
Introduction: A best practice for sleep actigraphy assessment includes concurrent participant completion of a daily sleep log, which poses additional burden on both the participant (~3 minutes ...
Bio-inspired optimisation algorithms draw upon mechanisms observed in nature to address complex global optimisation tasks. These methods harness principles such as genetic evolution, swarm ...
Abstract: In unmanned aerial vehicle (UAV) ad hoc networks, dynamic wireless channel fluctuations and malicious electromagnetic jamming may severely compromise link reliability, causing rate ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results