An enhanced dual inception-attention-BiGRU-attention model integrating wavelet transform for wearable sensor-based human activity recognition. [PDF]
Zhang X, Wang Y, Deng T.
europepmc +1 more source
RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz +6 more
wiley +1 more source
Adaptive temporal attention mechanism and hybrid deep CNN model for wearable sensor-based human activity recognition. [PDF]
Wang Z, Kang K.
europepmc +1 more source
Raman‐based label‐free microscopic analysis of the pancreas in living zebrafish larvae
Forward stimulated Raman scattering (F‐SRS) and epi coherent anti‐Stokes Raman scattering (E‐CARS) allow label‐free discrimination of distinct subcellular structures in the pancreas of living zebrafish larvae. Given the straightforward applicability, we anticipate broad implementation of Raman microscopy in other organs and across various biomedical ...
Noura Faraj +3 more
wiley +1 more source
A human activity recognition model based on deep neural network integrating attention mechanism. [PDF]
Xu F, Gao X, Wang W.
europepmc +1 more source
This study investigated a novel WST‐8‐based assay for evaluating d‐Amino acid oxidase (DAO) inhibitors. We confirmed its effectiveness using known inhibitors and found that uremic toxins possess relatively weak inhibitory activity compared to existing drugs.
Kahoko Miyake +4 more
wiley +1 more source
FedEach: Federated Learning with Evaluator-Based Incentive Mechanism for Human Activity Recognition. [PDF]
Lim HW +4 more
europepmc +1 more source
Effects of Sampling Frequency on Human Activity Recognition with Machine Learning Aiming at Clinical Applications. [PDF]
Yamane T, Kimura M, Morita M.
europepmc +1 more source
Applying MLP-Mixer and gMLP to Human Activity Recognition. [PDF]
Miyoshi T, Koshino M, Nambo H.
europepmc +1 more source
Metaheuristic-Driven Feature Selection for Human Activity Recognition on KU-HAR Dataset Using XGBoost Classifier. [PDF]
Sarker P, Tiang JJ, Nahid AA.
europepmc +1 more source

