Results 191 to 200 of about 127,617 (265)
Deep representation learning using layer-wise VICReg losses. [PDF]
Datta J +5 more
europepmc +1 more source
Organic Transistor‐Based Neuromorphic Electronics and Their Recent Applications
This review highlights recent progress in organic neuromorphic electronics, showing how organic semiconductors enable synaptic and neuronal functions with low power, mechanical flexibility, and biocompatibility. By bridging materials, devices, and systems, organic platforms are accelerating brain‐inspired computing toward applications in artificial ...
Ziru Wang, Feng Yan
wiley +1 more source
Robust Trajectory Prediction for Mobile Robots via Minimum Error Entropy Criterion and Adaptive LSTM Networks. [PDF]
Xie D, Li Z, Zhang C, Wang C, Wei X.
europepmc +1 more source
Abstract Fiber reinforced polymer (FRP) wrapping technology is commonly used to enhance the compressive strength (CS) of reinforced concrete (RC) members. Accurate prediction of the compressive strength of FRP‐confined concrete columns is crucial for optimizing structural design and helps reduce the time and costs associated with physical testing ...
XuanRui Yu +5 more
wiley +1 more source
An enhanced bat algorithm based intelligent inspired architecture for resilient macroeconomic prediction. [PDF]
Mou S, Gan J, Yang Y, Lan Y, Rao C.
europepmc +1 more source
Recent advances of non‐invasive sensors for smart wearable respiratory monitoring
Respiration contains rich physiological and pathological information, making it one of the most fundamental and continuous vital signs. Respiration monitoring is a non‐invasive and simple, but incredibly powerful, tool for assessing health, managing disease, and tracking fitness.
Jianhui Chen +8 more
wiley +1 more source
Abstract Abnormalities in the heart's rhythm, known as arrhythmias, pose a significant threat to global health, often leading to severe cardiac conditions and sudden cardiac deaths. Therefore, early and accurate detection of arrhythmias is crucial for timely intervention and potentially life‐saving treatment.
Hasnain Ali Shah +4 more
wiley +1 more source
Physical neural networks using sharpness-aware training. [PDF]
Xu T +7 more
europepmc +1 more source
Boosted unsupervised feature selection for tumor gene expression profiles
Abstract In an unsupervised scenario, it is challenging but essential to eliminate noise and redundant features for tumour gene expression profiles. However, the current unsupervised feature selection methods treat all samples equally, which tend to learn discriminative features from simple samples.
Yifan Shi +5 more
wiley +1 more source
Comparison of Input-Data Matrix Representations Used for Continual Learning with Orthogonal Weight Modification on Edge Devices. [PDF]
Mendez R, Maier A, Emmert J.
europepmc +1 more source

