Insider threat detection based on operational attention and data augmentation by Guanyun FENG, Cai FU, Jianqiang LYU, Lansheng HAN

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A method for improving recall rate of similar image retrieval by using edge enhancement technology by Jingcheng CAO, Jidong ZHANG, Guojie SHI

Subjects: “…convolutional neural network…”
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Digital twin-centered hybrid data-driven multi-stage deep learning framework for enhanced nuclear reactor power prediction by James Daniell, Kazuma Kobayashi, Ayodeji Alajo, Syed Bahauddin Alam

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Low voltage user power internet of things monitoring system based on LoRa wireless technology by Xiao Wang, Wei Zhao, Xixian Niu

Subjects: “…BP neural network…”
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Research on Gear Early Wear Fault Diagnosis Based on the Sparse Attention Mechanism by Gao Yunduan, Tian Ye, Zhu Yongbo, Li He, Zhang Jinjie

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RELIABILITY ANALYSIS AND OPTIMIZATION DESIGN OF THE SHEARER’S TORQUE SHAFT by ZHAO LiJuan, LI MingHao, ZHANG PinHao

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Survey of text classification methods based on deep learning by Sijia DU, Haining YU, Hongli ZHANG

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Image depth estimation assisted by multi-view projection by Liman Liu, Jinshan Tian, Guansheng Luo, Siyuan Xu, Chen Zhang, Huaifei Hu, Wenbing Tao

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Eliminating Network Depth: Genetic Algorithm for Parameter Optimization in CNNs by M. Askari, S. Soleimani, M. H. Shakoor, M. Momeni

Subjects: “…Convolutional neural network…”
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Research on Fire Detection of Cotton Picker Based on Improved Algorithm by Zhai Shi, Fangwei Wu, Changjie Han, Dongdong Song

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Lightweight Multi-Scale Network for Segmentation of Riverbank Sand Mining Area in Satellite Images by Hongyang Zhang, Shuo Liu, Huamei Liu

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Study of forecasting urban private car volumes based on multi-source heterogeneous data fusion by Chenxi LIU, Dong WANG, Huiling CHEN, Renfa LI

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A Green AI Methodology Based on Persistent Homology for Compressing BERT by Luis Balderas, Miguel Lastra, José M. Benítez

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Design and modeling of a nanocomposite system for demineralization of sweet whey by Mina Rezapour, Mohsen Esmaiili, Mehdi Mahmoudian, Alireza Behrooz Sarand

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Does Using Artificial Intelligence in Citizen Science Support Volunteers’ Learning? An Experimental Study in Ornithology by Khrystyna Pankiv, Laure Kloetzer

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Heterogeneous long-term changes in larch forest and shrubland cover in the Kolyma lowland are not captured by coarser-scale greening trends by Heather Kropp, Michael M Loranty, Howard Epstein, Gerald V Frost, Adam Koplik, Logan T Berner

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A data-driven approach to wireless channel available throughput estimation and prediction by Yao XIAO, Junshuo LIU, Zhifu LONG, Caiming QIU

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RESEARCH ON ROLLING BEARING FAULT DIAGNOSIS BASED ON MA OPTIMIZATION OF CNN by TIAN LiYong, ZHAO JianJun, YU Ning

Subjects: “…Convolution neural network…”
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Optimized extraction and kinetic study of cholesterol oxidase from a newly isolated Escherichia fergusonii strain from local whey samples: insights through a combined experimental study and artificial neural network modeling by Simin Khataee, Gholamreza Dehghan, Samaneh Rashtbari, Arezu Marefat, Sina Jamei, Hamed Farzi-Khajeh

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Computational Modeling of Desiccation Properties (CW, LS, and VS) of Waste-Based Activated Ash-Treated Black Cotton Soil for Sustainable Subgrade Using Artificial Neural Network, Gray-Wolf, and Moth-Flame Optimization Techniques by Kennedy C. Onyelowe, Jamshid Shakeri, Hasel Amini-Khoshalan, Thompson F. Usungedo, Mohammadreza Alimoradi-Jazi

“…Artificial neural network (ANN), gray-wolf, and moth-flame optimization (GWO and MFO) techniques have been used in this research work to predict the effect of activated sawdust ash (ASDA) on the crack width (CW), linear shrinkage (LS), and volumetric shrinkage (VS) of a black cotton soil utilized as a subgrade material. …”
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