Results 211 to 220 of about 198,108 (300)
Robust Rear-View Human Tracking for Robotic Visual Sensing: A Spatiotemporal Prediction and Multi-Modal Fusion Approach. [PDF]
Jia X, Xie J, Li Y, Liang J, Zhang Z.
europepmc +1 more source
An automation interface for environmental scanning electron microscopy (ESEM) enables simultaneous, interlaced data sets via frame‐by‐frame parameter changes. Demonstrated on oscillatory hydrogen oxidation over cobalt (Co) foil, dual‐magnification imaging bridges mesoscopic to microscopic length scales, capturing alternating views of surface dynamics ...
Maurits Vuijk +7 more
wiley +1 more source
YOLIP: An Enhanced Framework for UAV-Assisted Wildlife Monitoring Based on YOLO Integrated with the CLIP Model. [PDF]
Hu R +7 more
europepmc +1 more source
This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov +3 more
wiley +1 more source
Fine reconstruction of badminton swing dynamic trajectory assisted by event camera. [PDF]
Wang Y, Shi B, Lv B.
europepmc +1 more source
This paper presents an agar medium with a phosphorescent grid pattern that measures the stress distribution generated by growing plant roots. Using phosphorescence, the system optically separates the grid pattern from the root and extracts the grid deformation.
Gakuto Kagawa, Hidetoshi Takahashi
wiley +1 more source
Tracking Any Point with Frame-Event Fusion Network at High Frame Rate
Tracking any point based on image frames is constrained by frame rates, leading to instability in high-speed scenarios and limited generalization in real-world applications.
Wang, Bo +5 more
core
Small-Target Ship Detection with Joint Spatio-Temporal Features Across Multiple Frames. [PDF]
Qian Y, Hu Z, Zhang B, Yang W, Chen Q.
europepmc +1 more source
A soft robotic simulator is developed to replicate the digital removal of feces (DRF), a sensitive yet essential nursing procedure. Integrating soft actuators, sensors, and a realistic rectal model, the simulator balances functional fidelity with perceptual realism. Engineering evaluations and nurse feedback confirm its potential to enhance training in
Shoko Miyagawa +10 more
wiley +1 more source
CABIF-Net: Robust Confidence-Based Audio-Visual Fusion for Fine-Grained Bird Recognition. [PDF]
Li Z, Zhang Y, Lv D, Yu Y.
europepmc +1 more source

