Yan Shi 0010 - researchr alias

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Viewing Publication 1 - 18 from 18

2026

Fine-grained sparse attention transformer to enhance electronic nose detection performanceJinyue Zhang, Junqi Liu, Fanjin Meng, Xiangyu Zhang, Qinglun Zhang, Yan Shi 0010. PR, 179:113589, 2026. [doi]

2025

An Adaptive Gas Feature Calculation and Classification Method Combined With an Electronic Nose for Origin Identification of Agricultural ProductsYan Shi 0010, Yang Yu, Siyuan Kang, Ninghui Feng, Chongbo Yin. tii, 21(11):8607-8618, November 2025. [doi]

AdaNet: A competitive adaptive convolutional neural network for spectral information identificationZiyang Li, Yang Yu, Chongbo Yin, Yan Shi 0010. PR, 163:111472, 2025. [doi]

Gas Features Cooperative Calculation Neural Network Combined With an Electronic Nose System for Peanut Origin IdentificationYanwei Wang, Xiangyu Zhang, Boran Li, Yang Yu, Chongbo Yin, Yan Shi 0010, Hong Men. tim, 74:1-9, 2025. [doi]

TVNet: A times vision network for electrical load forecasting by temporal 2d-variationBaichun Wang, Ao Sun, Zhikai Xu, Qinglun Zhang, Yan Shi 0010, Hong Men. eswa, 280:127619, 2025. [doi]

Optimizing Food Taste Sensory Evaluation Through Neural Network-Based Taste Electroencephalogram Channel SelectionXiuxin Xia, Qun Wang, He Wang, Chenrui Liu, Pengwei Li, Yan Shi 0010, Hong Men. tim, 74:1-9, 2025. [doi]

Detection of severe coronary artery disease based on clinical phonocardiogram and large kernel convolution interaction networkChongbo Yin, Jian Qin, Yan Shi 0010, Yineng Zheng, Xingming Guo. bspc, 100:107186, 2025. [doi]

2024

FGRC-Net: A high-information interactive convolutional neural network for identifying ink spectral informationYan Shi 0010, Qinglun Zhang, Siyuan Kang, Chongbo Yin, Xiaotong Liu, Xinyu He. eswa, 235:121167, January 2024. [doi]

A Gas-Spectral Bimodal Information Fusion Method Combining Electronic Nose and Hyperspectral System to Identify the Rice Quality in Different Storage PeriodsYan Shi 0010, Hualing Lin, Yang Yu, Chongbo Yin, Yueting Wang. tim, 73:1-11, 2024. [doi]

GCNs-Net: A Graph Convolutional Neural Network Approach for Decoding Time-Resolved EEG Motor Imagery SignalsYimin Hou, Shuyue Jia, Xiangmin Lun, Ziqian Hao, Yan Shi 0010, Yang Li 0011, Rui Zeng, Jinglei Lv. tnn, 35(6):7312-7323, June 2024. [doi]

PSCFormer: A lightweight hybrid network for gas identification in electronic nose systemZiyang Li, Siyuan Kang, Ninghui Feng, Chongbo Yin, Yan Shi 0010. PR, 145:109912, January 2024. [doi]

Decoding human taste perception by reconstructing and mining temporal-spatial features of taste-related EEGsXiuxin Xia, Yuchao Yang, Yan Shi 0010, Wenbo Zheng, Hong Men. apin, 54(5):3902-3917, March 2024. [doi]

FBANet: An Effective Data Mining Method for Food Olfactory EEG RecognitionXiuxin Xia, Yan Shi 0010, Pengwei Li, Xiaosong Liu, Jingjing Liu 0002, Hong Men. tnn, 35(10):13550-13560, October 2024. [doi]

Advancing cross-subject olfactory EEG recognition: A novel framework for collaborative multimodal learning between human-machineXiuxin Xia, Yuchen Guo, Yanwei Wang, Yuchao Yang, Yan Shi 0010, Hong Men. eswa, 250:123972, 2024. [doi]

Detection of Coronary Artery Disease Based on Clinical Phonocardiogram and Multiscale Attention Convolutional Compression NetworkChongbo Yin, Yineng Zheng, Xiaorong Ding, Yan Shi 0010, Jian Qin, Xingming Guo. titb, 28(3):1353-1362, March 2024. [doi]

2023

An efficient multiscale integrated attention method combined with hyperspectral system to identify the quality of rice with different storage periods and humiditySiyuan Kang, Qinglun Zhang, Hongru Wei, Yan Shi 0010. cea, 213:108259, October 2023. [doi]

Recognition of odor and pleasantness based on olfactory EEG combined with functional brain network modelXiuxin Xia, Xiaotong Liu, Wenbo Zheng, Xiaofei Jia, Bo Wang, Yan Shi 0010, Hong Men. mlc, 14(8):2761-2776, 2023. [doi]

2022

Ultra-lightweight dynamic attention network combined with gas sensor for distinguishing the quality of riceHong Men, Mei Liu, Yan Shi 0010, Hangcheng Yuan, Jingjing Liu 0002, Qiuping Wang. cea, 197:106939, 2022. [doi]

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