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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CNN‐based off‐angle iris segmentation and recognition by Ehsaneddin Jalilian, Mahmut Karakaya, Andreas Uhl

“…While deep learning techniques (i.e. segmentation‐based convolutional neural networks (CNNs)) are increasingly being used to address this problem, there is a significant lack of information about the mechanism of the related distortions affecting the performance of these networks and no comprehensive recognition framework is dedicated, in particular, to off‐angle iris recognition using such modules. …”
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Optimizing Large Railway Vision Models for Efficient In-Context Learning by Xuemei Zhan, Xubo Wu, Hua Ma

“…Consequently, LRVMs face challenges in achieving high throughput compared to state-of-the-art, task-specific railway models. To address this problem, we propose a novel framework with cross-block feature union (CBFU) designed to optimize the computation time and GPU memory allocations for LRVMs, in both the training and inference phases while preserving accuracy. …”
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ViTMa: A Novel Hybrid Vision Transformer and Mamba for Kinship Recognition in Indonesian Facial Micro-Expressions by Ike Fibriani, Eko Mulyanto Yuniarno, Ronny Mardiyanto, Mauridhi Hery Purnomo

“…The Siamese architecture processes two input images, extracts features fused with feature fusion, and passes them to a classification network. …”
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Synthesizing Explainability Across Multiple ML Models for Structured Data by Emir Veledar, Lili Zhou, Omar Veledar, Hannah Gardener, Carolina M. Gutierrez, Jose G. Romano, Tatjana Rundek

“…The framework is designed to be reproducible and generalizable, capable of taking important outputs from any set of machine-learning models and producing an aggregated ranking highlighting consistently important features. This approach acknowledges that any single model is a simplification of complex, multidimensional phenomena; using multiple diverse models, each optimized from a different perspective, WISFC systematically captures different facets of the problem space to create a more structured and comprehensive view. …”
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Efficient Encoding and Decoding of Voxelized Models for Machine Learning-Based Applications by Damjan Strnad, Stefan Kohek, Borut Zalik, Libor Vasa, Andrej Nerat

“…Storing, transmitting and consuming voxelized geometry, however, remains a challenging problem for machine learning pipelines running on devices with limited amount of on-chip memory with low access latency. …”
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SMS Scam Detection Application Based on Optical Character Recognition for Image Data Using Unsupervised and Deep Semi-Supervised Learning by Anjali Shinde, Essa Q. Shahra, Shadi Basurra, Faisal Saeed, Abdulrahman A. AlSewari, Waheb A. Jabbar

“…The growing problem of unsolicited text messages (smishing) and data irregularities necessitates stronger spam detection solutions. …”
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