Data and Safety Monitoring Board Best Practices in Clinical Trials. [PDF]
Klein GL +8 more
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From predefined indicators to a management dashboard for heart failure telemonitoring: a modified nominal group technique approach in Portuguese hospitals. [PDF]
Miranda R +3 more
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ET-Pfam: ensemble transfer learning for protein family prediction. [PDF]
Duarte SA +6 more
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A Multi-Center Trained Residual Neural Network for Robust Classification of Atrial High-Rate Episodes in Remotely Monitored Pacemakers and Defibrillators. [PDF]
Krimpen LV +14 more
europepmc +1 more source
A hybrid ensemble deep learning framework with novel metaheuristic optimization for scalable malicious website detection. [PDF]
Yang T, Sun J.
europepmc +1 more source
Context-Guided Mixture-of-Experts with Multimodal LLMs for Lesion Detection in Buccal Mucosa Images. [PDF]
Nayak A +7 more
europepmc +1 more source
TinyML-enabled fuzzy logic for enhanced road anomaly detection in remote sensing. [PDF]
Khatoon A +4 more
europepmc +1 more source
Setting the UK research priorities for hypertension using a modified Delphi approach: a British and Irish Hypertension Society Initiative with Support from the British Heart Foundation Clinical Research Collaborative. [PDF]
Swift PA +12 more
europepmc +1 more source
FalsEye: proactive detection of false data injection attacks in smart grids using IceCube-optimised ensemble learning. [PDF]
Sheta AN +4 more
europepmc +1 more source
Practical pollsterless remote electronic voting
This thesis describes the design of a novel class of pollsterless voting schemes. Many cryptographic voting schemes necessitate a pollster because the client side computations are beyond the understanding or ability of the voter. Such interactions require that the voter trust the software to perform operations on their behalf, and in effect, the ...
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