Results 21 to 30 of about 42,501 (258)

Intelligent Question Answering in Restricted Domains Using Deep Learning and Question Pair Matching

IEEE Access, 2020
With the rapid expansion of the Internet, intelligent question answering for information retrieval has once again gained widespread attention. However, current question answering models mainly focus on the general and common-sense questions in open ...
Lin-Qin Cai, Min Wei, Si-Tong Zhou, Xun Yan   +3 more
doaj   +1 more source

Real-world low-light image enhancement via domain-gap aware framework and reverse domain-distance guided strategy

Frontiers in Physics, 2023
Low-light image enhancement (LLIE) has high practical value and development potential in real scenarios. However, the current LLIE methods reveal inferior generalization competence to real-world low-light (LL) conditions of poor visibility.
Yong Chen, Meiyong Huang, Huanlin Liu, Kaixin Shao, Jinliang Zhang   +4 more
doaj   +1 more source

Joint Urban Modeling With Graph Convolutional Networks and Crowdsourced Data: A Novel Approach

IEEE Access
Graph Convolutional Networks (GCN) are a potent and adaptable tool for effectively processing and analyzing continuous spatial data. Despite the substantial potential of GCN in various domains, most existing spatial data prediction models are confined to
Chao Deng, Xuexia Liang, Xu Yan, Yuhua Mo, Sen Bai, Bin Lu, Kaidi Chen, Xipeng Liu, Zhi Chen   +8 more
doaj   +1 more source

Mask R-CNN-Based Detection and Segmentation for Pulmonary Nodule 3D Visualization Diagnosis

IEEE Access, 2020
3D visualization diagnosis for pulmonary nodule detection and segmentation is becoming a promising topic in the field of surgical researches and applications.
Linqin Cai, Tao Long, Yuhan Dai, Yuting Huang   +3 more
doaj   +1 more source

A Novel Fault Early Warning Model Based on Fault Gene Table for Smart Distribution Grids

Energies, 2017
Since a smart distribution grid has a diversity of components and complicated topology; it is very hard to achieve fault early warning for each part. A fault early warning model for smart distribution grid combining a back propagation (BP) neural network
Min Xiang, Jie Min, Zaiqian Wang, Pan Gao   +3 more
doaj   +1 more source

Adaptive Detection Method for Result Tampering Based on Task Importance Awareness

Taiyuan Ligong Daxue xuebao
Purposes In distributed collaborative computing environments, to address the challenge that computation results are tampered and detection costs are high, an adaptive detection strategy is designed by incorporating task importance.
HUO Yingyu, LIU Qi, ZHAO Zhihui, CHEN Yongle   +3 more
doaj   +1 more source

The Time–Frequency Analysis and Prediction of Mold Level Fluctuations in the Continuous Casting Process

Metals
Mold level fluctuation significantly affects the stability and quality of the slab during the continuous casting process. However, traditional mechanism models are insufficient for providing accurate time-series predictions under complex and ...
Mohan Cai, Meixia Fu, Wei Li, Qu Wang, Na Chen, Zhangchao Ma, Lei Sun, Ronghui Zhang, Hongbin Wang, Jianquan Wang   +9 more
doaj   +1 more source

Enhancing pumping unit diagnosis with similarity splicing data augmentation and wavelet denoising

Scientific Reports
Dynamometer card-based fault diagnosis confronts critical challenges including imbalanced data distributions, noise contamination, and constrained generalization capacity.
Xinlong Tan, Shaohua Wang, Hongqiang Wu, Fei Chen   +3 more
doaj   +1 more source

A compatible carbon efficiency information service framework based on the industrial internet identification

Digital Communications and Networks
Green and low-carbon is a new development model that seeks balance between environmental sustainability and high economic growth. If explainable and available carbon emission data can be accurately obtained, it will help policy regulators and enterprise ...
Cheng Chi, Yang Liu, Baoluo Ma, Senchun Chai, Puning Zhang, Zihang Yin   +5 more
doaj   +1 more source

Thermodynamic Pathways of Nonequilibrium Solidification in Wire‐Arc Additive Manufacturing Fe‐Based Multicomponent Alloy Structures

Advanced Engineering Materials, EarlyView.
Geometry‐driven thermal behavior in wire‐arc additive manufacturing (WAAM) influences microstructural evolution during nonequilibrium solidification of a chemically complex Fe–Cr–Nb–W–Mo–C nanocomposite system. By comparing different deposits configurations, distinct entropy–cooling rate correlations, segregation, and carbide evolution are revealed ...
Blanca Palacios, Anthony Gonzalez, Aleksander Aleman, Tyler Dolmetsch, Tanaji Paul, Arvind Agarwal   +5 more
wiley   +1 more source