A lightweight deep convolutional neural network for detecting artifacts in continuous EEG signals. [PDF]
Nyanney E +3 more
europepmc +1 more source
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
Novel convolutional neural network for bacterial identification of confocal microscopic datasets. [PDF]
Al-Jumaili A +8 more
europepmc +1 more source
Discovering Interpretable Semantics from Radio Signals for Contactless Cardiac Monitoring
This study presents a semantic representation framework for clinically interpretable cardiac monitoring from contactless radio signals. It formulates radio semantic learning as an information‐bottleneck problem and approximates the objective via intra‐modal compression and cross‐modal alignment, structuring radio measurements into meaningful semantic ...
Jinbo Chen +10 more
wiley +1 more source
ABSTRACT Conventional software‐based encryption faces mounting limitations in power efficiency and security, inspiring the development of emerging neuromorphic computing hardware encryption. This study presents a hardware‐level multi‐dimensional encryption paradigm utilizing optoelectronic neuromorphic devices with low energy consumption of 3.3 fJ ...
Bo Sun +3 more
wiley +1 more source
Development of a convolutional neural network for the endoscopic classification of pouchitis in patients after restorative proctocolectomy. [PDF]
Saifi M +5 more
europepmc +1 more source
MGDP: Mastering a Generalized Depth Perception Model for Quadruped Locomotion
ABSTRACT Perception‐based Deep Reinforcement Learning (DRL) controllers demonstrate impressive performance on challenging terrains. However, existing controllers still face core limitations, struggling to achieve both terrain generality and platform transferability, and are constrained by high computational overhead and sensitivity to sensor noise.
Yinzhao Dong +9 more
wiley +1 more source
ConvLoRa: Convolutional Neural Network-Based Collision Demodulation for LoRa Uplinks in LEO-IoT. [PDF]
Hong T, Xu L, Yu X, Shen J, Zhang G.
europepmc +1 more source
Artificial Intelligence Powers Protein Functional Annotation
This review systematically summarizes how artificial intelligence advances protein functional annotation. It organizes existing methods into six unified modeling paradigms and analyzes their applications in Gene Ontology and Enzyme Commission prediction.
Wenkang Wang +4 more
wiley +1 more source
A lightweight convolutional neural network architecture for violence detection in video sequences. [PDF]
Tyagi B +4 more
europepmc +1 more source

