Results 71 to 80 of about 200,528 (240)
Progress in Photovoltaics: Research and Applications, EarlyView.Machine learning (ML) enables fast and reliable prediction of series resistance and dark saturation current maps from voltage‐dependent electroluminescence of silicon solar cells. Two ML algorithms, a multilayer perceptron (MLP) and a modified U‐NET (mU‐NET), are analyzed. They are compared to nonlinear least squares fitting to assess their performance.
Erell Laot +3 more
wiley +1 more source
Smooth parametric surfaces and n-sided patches [PDF]
, 1989 The theory of 'geometric continuity' within the subject of CAGD is reviewed. In particular, we are concerned with how parametric surface patches for CAGD can be pieced together to form a smooth Ck surface.
Gregory, JA, Lau, VKH, Zhou, J
core
The remapped particle-mesh advection scheme
, 2006 We describe the remapped particle-mesh method, a new mass-conserving method for solving the density equation which is suitable for combining with semi-Lagrangian methods for compressible flow applied to numerical weather prediction.
Doswell +26 more
core +3 more sources
Research on Deep Learning Energy Consumption Prediction Based on Generating Confrontation Network
IEEE Access, 2019 In the context of increasingly tight energy supply and rising prices, it is of great significance to carry out research on energy consumption prediction models with energy conservation as the goal.
Shilong Fan
doaj +1 more source
VIEW, EarlyView.This study introduces Fourier ptychographic scattered light microscopy (FP‐SLM). It combines Fourier ptychographic microscopy (FPM), which images large fields of view with high resolution, and computational scattered light imaging (ComSLI), which visualizes densely interwoven fibers.
Simon E. van Staalduine +3 more
wiley +1 more source
Filling polygonal holes with bicubic patches [PDF]
, 1991 Consider a bicubic rectangular patch complex which surrounds an n-sided hole in R3.
Gregory, JA, Zhou, J
core
Two-Stream Action Recognition-Oriented Video Super-Resolution
, 2019 We study the video super-resolution (SR) problem for facilitating video analytics tasks, e.g. action recognition, instead of for visual quality. The popular action recognition methods based on convolutional networks, exemplified by two-stream networks ...
Liu, Dong, Xiong, Zhiwei, Zhang, Haochen
core +1 more source
Enhancing Brain MRI Super‐Resolution Through Multi‐Slice Aware Matching and Fusion
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT In clinical diagnosis, magnetic resonance imaging (MRI) allows different contrast images to be obtained. High‐resolution (HR) MRI presents fine anatomical structures, which is important for improving the efficiency of expert diagnosis and realising smart healthcare.
Jie Xiang +7 more
wiley +1 more source
High Quality Image Interpolation via Local Autoregressive and Nonlocal 3-D Sparse Regularization
, 2012 In this paper, we propose a novel image interpolation algorithm, which is formulated via combining both the local autoregressive (AR) model and the nonlocal adaptive 3-D sparse model as regularized constraints under the regularization framework ...
Fan, Xiaopeng +5 more
core +2 more sources
Coordinated Multi-Robotic Vehicles Navigation and Control in Shop Floor Automation
Sensors, 2022 In this paper, we propose a global navigation function applied to model predictive control (MPC) for autonomous mobile robots, with application to warehouse automation.
Gregor Klančar, Marija Seder
doaj +1 more source