Results 131 to 140 of about 384,953 (220)
DASNeRF: depth consistency optimization, adaptive sampling, and hierarchical structural fusion for sparse view neural radiance fields. [PDF]
Zhang Y+9 more
europepmc +1 more source
UltRAP‐Net: Reverse Approximation of Tissue Properties in Ultrasound Imaging
This study proposes a reverse approximation neural network (UltRAP‐Net) to extract underlying physics‐aware properties using multiple images with distinct appearances obtained at the same location of tissues. Through this robust approximation, the study advances the use of ultrasound images by opening potentials for various applications such as physics‐
Yingqi Li+4 more
wiley +1 more source
Bayesian modeling with locally adaptive prior parameters in small animal imaging. [PDF]
Zhang M, Aykroyd RG, Tsoumpas C.
europepmc +1 more source
Using cloud computing technology, a telerehabilitation application allows patients to perform exercises remotely. Sensor data from a textile‐based IoT glove is processed in the cloud and transmitted as exercise commands to an actuating T‐IoT glove worn by patients.
Kadir Ozlem+5 more
wiley +1 more source
GAEDGRN: reconstruction of gene regulatory networks based on gravity-inspired graph autoencoders. [PDF]
Wei PJ, Jin HW, Gao Z, Su Y, Zheng CH.
europepmc +1 more source
This paper presents a novel Multi‐Distance Spatial‐Temporal Graph Neural Network for detecting anomalies in blockchain transactions. The model combines multi‐distance graph convolutions with adaptive temporal modeling to capture complex patterns in anonymized cryptocurrency networks.
Shiyang Chen+4 more
wiley +1 more source
Framework for Groove Rating in Exercise-Enhancing Music Based on a CNN-TCN Architecture with Integrated Entropy Regularization and Pooling. [PDF]
Chen J, Han J, Su P, Zhou G.
europepmc +1 more source
Nanomechanical Systems for Reservoir Computing Applications
Nanoelectromechanical systems (NEMS) are known for their strong nonlinear response, which can be conducive for reservoir computing. In this work, the authors build an NEMS‐based reservoir and investigate the classification accuracy as a function of drive levels and operation points.
Enise Kartal+7 more
wiley +1 more source
Enhanced medical image segmentation using novel level set evolution and efficient optimization. [PDF]
Wali S+4 more
europepmc +1 more source