Research on Emotion Classification Based on Multi-modal Fusion by zhihua Xiang, Nor Haizan Mohamed Radzi, Haslina Hashim

“…However, because the multi-modal data show obvious dynamic time series features, it is necessary to solve the dynamic correlation problem within a single mode and between different modes in the same application scene during the fusion process. …”
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Fault Prediction of Hydropower Station Based on CNN-LSTM-GAN with Biased Data by Bei Liu, Xiao Wang, Zhaoxin Zhang, Zhenjie Zhao, Xiaoming Wang, Ting Liu

“…Then, the CNN-LSTM network is used to predict time series data, and the GAN is used to expand fault data samples to solve the problem of an unbalanced data distribution. Meanwhile, a multi-scale feature extraction network with time–frequency information is designed to improve the accuracy of fault detection. …”
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Research on traffic representation in network anomaly detection by SUN Jianwen, ZHANG Bin, CHANG Heyu

“…Aiming to address the problem of information loss in traffic representation for network anomaly detection, the impact of feature information dimension of different traffic representation on anomaly detection performance was analyzed from the perspective of data collection granularity. …”
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DBN Face Recognition Algorithm Based on GCSLBP by GUAN Xiao-rui, CHENG Wei-yue, ZHANG Xue-qin, LIN Ke-zheng, GAO Tie-hong

“…Aiming at the problem that the feature vector extracted by original Gabor transform has a high dimension and DBN ignores local information when completing face recognition, a DBN face recognition algorithm based on GCSLBP is proposed. …”
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Optimization of Parallax Image Projection Based on SIFT by WANG Yang, LIU Jie, YOU Pinhong

“…In order to solve the problem of misalignment and ghosting in image stitching due to large parallax, this paper proposes a parallax image projection optimization algorithm based on SIFT First, the feature points of the image are acquired through SIFT, and then the mismatched points are removed from the image by the random sampling consistency algorithm, and the projected matrix calculation is performed on the removed feature points. …”
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Coordinate-Corrected and Graph-Convolution-Based Hand Pose Estimation Method by Dang Rong, Feng Gang

“…To address the problem of low accuracy in joint point estimation in hand pose estimation methods due to the self-similarity of fingers and easy self-obscuration of hand joints, a hand pose estimation method based on coordinate correction and graph convolution is proposed. …”
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Chinese Word Sense Disambiguation Based on Word translation and Part of speech by ZHANG Chunxiang, ZHAO Lingyun, GAO Xueyao

“…For vocabulary ambiguity problem in Chinese, CNN (Convolution Neural Network) is adopted to determine true meaning of ambiguous vocabulary where word, part of speech and translation around its left and right adjacent words are used. …”
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Race estimation with deep networks by Mazida A. Ahmed, Ridip Dev Choudhury, Kishore Kashyap

“…Identifying race, which is a major physical feature in humans, is still a challenging task owing much to the lack of a concrete definition of race and the diversity of population across the globe. …”
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Multibranch 3D-Dense Attention Network for Hyperspectral Image Classification by Junru Yin, Changsheng Qi, Wei Huang, Qiqiang Chen, Jiantao Qu

“…Meanwhile, the convolutional kernels of different sizes are used to extract multi-scale spatial-spectral features. Subsequently, spatial attention mechanisms are used to emphasize spatial features and increase the diversity of features. …”
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Nature of the creative class of a cognitive society: conceptual aspect by G.V. Smolonsky

“…The relevance of addressing the problem related to the nature of the creative class is due to the new status of knowledge in the cognitive society. …”
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FD-IDS: Federated Learning with Knowledge Distillation for Intrusion Detection in Non-IID IoT Environments by Haonan Peng, Chunming Wu, Yanfeng Xiao

“…FD-IDS employs mutual information for feature selection to enhance training efficiency. …”
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Occlusion Vehicle Target Recognition Method Based on Component Model by Haorui Han, Hanshan Li

“…Therefore, based on the distribution features of vehicle components, this paper proposes a two-stage VSRS-VCFM net occlusion vehicle target recognition method. …”
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Partial Discharge Pattern Recognition of Switchgear Based on Residual Convolutional Neural Network by Xueyou HUANG, Jun XIONG, Yu ZHANG, Hui LIU, Lu CHEN, Xianglin MENG, Xiuchen JIANG

“…A residual module is added to the network to solve the degradation problem after accuracy saturation caused by the deepening of network layer number, and the shallow and deep feature fusion learning of switchgear partial discharge data is integrated to achieve the pattern recognition. …”
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Research on Tool Wear Monitoring Based on ET-GD and K-nearest Neighbor Algorithm by QIN Yiyuan, LIU Xianli, YUE Caixu, GUO Bin, DING Mingna

“…Aiming at the problem of tool wear monitoring in milling process , a tool wear monitoring method based on extreme random tree and Gaussian distribution and K-nearest neighbor is proposed. …”
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Collaborative Superpixelwised PCA for Hyperspectral Image Classification by Chao Yao, Junrui Gu, Zehua Guo, Miao Ma, Qingrui Guo, Gong Cheng

“…A recently developed superpixelwised principal component analysis (PCA) (SuperPCA), which has shown its promising performance, is a prominent technique in spectral–spatial feature extraction. However, we have discovered that SuperPCA may lead to an intraclass dispersion problem, which can result in a decrease in classification accuracy. …”
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SEM-Net: A Social–Emotional Music Classification Model for Emotion Regulation and Music Literacy in Individuals with Special Needs by Yu-Chi Chou, Shan-Ken Chien, Pen-Chiang Chao, Yuan-Jin Lin, Chih-Yun Chen, Kuang-Kai Yeh, Yen-Chia Peng, Chen-Hao Tsao, Shih-Lun Chen, Kuo-Chen Li

“…SEM-Net employs a convolutional neural network (CNN) architecture composed of 17 meticulously structured layers to capture complex emotional and musical features effectively. To further enhance the precision and robustness of the classification system, advanced social–emotional music feature preprocessing and sophisticated feature extraction techniques were developed, significantly improving the model’s predictive performance. …”
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A Hybrid Approach for Color Face Recognition Based on Image Quality Using Multiple Color Spaces by Mahdi Hosseinzadeh, Mohammad Mehdi Pazouki, Önsen Toygar

“…In this paper, the color face recognition problem is investigated using image quality assessment techniques and multiple color spaces. …”
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Classification of Drivers with HIV-Associated Neurocognitive Disorders using Virtual Driving Test Performance Data by David Grethlein, Venk Kandadai, Will Dampier

“…In this work we focus on the problem of identifying drivers with neurocognitive impairment (NCI), specifically an NCI specific to people with HIV (PWH) called HIV-associated neurocognitive disorders (HAND) directly from driving simulator data. …”
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Research on GNNs with stable learning by Wenbin Li, Wenxuan Wei, Peiyang Wang, Li Pan, Bo Yang, Yanling Xu

“…The aim is to extract genuine causal features while eliminating spurious causal features. …”
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A Two-Branch ResNet-BiLSTM Deep Learning Framework for Extracting Multimodal Features Applied to PPG-Based Cuffless Blood Pressure Estimation by Zenan Liu, Minghong Qiao, Yezi Liu, Jing Zhang, Ling He

“…The ResNet branch processes 60 features selected by Support Vector Machine-Recursive Feature Elimination (SVM-RFE) from manually extracted features, including our newly proposed trend features, while the BiLSTM branch processes complete PPG waveforms. …”
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