Results 231 to 240 of about 55,131 (288)

Deep Learning 1D-CNN-Based Ground Contact Detection in Sprint Acceleration Using Inertial Measurement Units. [PDF]

Sensors (Basel)
Friedl F, Menrad T, Edelmann-Nusser J.
europepmc   +1 more source

Dynamic geo‐hydrogeological monitoring‐driven situational awareness for real‐time floor water inrush risk prediction in deep mining

Deep Underground Science and Engineering, EarlyView.
The fused data extracted from the distributed monitoring system as the data basis, combined with dynamic geological data, are imported into a deep learning model. As the geological conditions of mining and excavation change, the risk of water inrush at the working face is retrieved in real time.
Yongjie Li, Huiyong Yin, Fangying Dong, Tao Wu, Chao Zhang   +4 more
wiley   +1 more source

Inverse Lithography Technology (ILT) Under Chip Manufacture Context. [PDF]

Micromachines (Basel)
Meng X, Chen C, Ni J.
europepmc   +1 more source

Whole tissue imaging of cellular boundaries at sub‐micron resolutions for deep learning cell segmentation: Applications in the analysis of epithelial bending of ectoderm

Developmental Dynamics, EarlyView.
Abstract Background To understand cellular morphology, biologists have relied on traditional optical microscopy of tissues combined with tissue clearing protocols to image structures deep within tissues. Unfortunately, these protocols often struggle to retain cell boundary markers, especially at high enough resolutions necessary for precise cell ...
Sam C. P. Norris, Jimmy K. Hu, Neil H. Shubin   +2 more
wiley   +1 more source

GPU-Accelerated Artificial Intelligence Applications in Cancer Diagnosis, Imaging, and Treatment Planning. [PDF]

Asian Pac J Cancer Prev
Montazer F, Mehdikhani B, Noroozi N, Nezameslami R, Nezameslami A, Shahbazi A, Jayervand F, Naseri A, Rahmani A, Negahi A, Danaei M, Aghili K, Neamatzadeh H.   +12 more
europepmc   +1 more source

GeNePi: a graphics processing unit enhanced next-generation bioinformatics pipeline for whole-genome sequencing analysis. [PDF]

Brief Bioinform
Marangoni S, Furia F, Charrance D, Fant A, Di Dio S, Trova S, Spirito G, Musacchia F, Coppe A, Gustincich S, Vecchi M, Landuzzi F, Cavalli A.   +12 more
europepmc   +1 more source

Nonlinear Response‐History Analyses of Masonry and Mixed Structures With HybriDFEM

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT The hybrid discrete‐finite element (HybriDFEM) method, previously developed to perform static and modal analysis in discrete and coupled discrete‐finite element models, is extended to nonlinear response‐history analyses. The equations of motion for the HybriDFEM model are solved through various numerical time‐integration schemes, both explicit
Igor Bouckaert, Michele Godio, João Pacheco de Almeida   +2 more
wiley   +1 more source

A Hardware-Friendly Joint Denoising and Demosaicing System Based on Efficient FPGA Implementation. [PDF]

Micromachines (Basel)
Wang J, Wang X, Shen Y.
europepmc   +1 more source

Optimizing Electric Vehicle Charging Scheduling With Deep Q Networks and Long Short‐Term Memory‐Based Electricity and Battery State of Charge Prediction

Energy Science &Engineering, EarlyView.
Schematic diagram showing the proposed approach for EV charging/discharging. ABSTRACT The number of electric vehicles (EVs) on the road is rising as a result of recent advancements in EV technology, and EVs are important to the smart grid economy. Demand response schemes involving electric vehicles have the potential to dramatically reduce the cost of ...
F. Zonuntluanga, Subhasish Deb, Kshetrimayum Robert Singh, Subir Datta, Ahmet Onen, Taha Selim Ustun, Jaesung Jung   +6 more
wiley   +1 more source

Gpu-accelerated JEMRIS for extensive MRI simulations. [PDF]

MAGMA
Nurdinova A, Ruschke S, Gestrich M, Stelter J, Karampinos DC.   +4 more
europepmc   +1 more source