Robust sparse smooth principal component analysis for face reconstruction and recognition. by Jing Wang, Xiao Xie, Li Zhang, Jian Li, Hao Cai, Yan Feng

“…Existing Robust Sparse Principal Component Analysis (RSPCA) does not incorporate the two-dimensional spatial structure information of images. To address this issue, we introduce a smooth constraint that characterizes the spatial structure information of images into conventional RSPCA, generating a novel algorithm called Robust Sparse Smooth Principal Component Analysis (RSSPCA). …”
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Accounting aspects of risk management in providing charitable assistance in a hybrid war by I.M. Vygivska, G.Yu. Khomenko

“…In order to identify and assess the risks of the charitable activity of an enterprise the classification of transactions for the provision of charitable assistance for the purpose of their accounting display and disclosure in the reporting has been developed. …”
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Beyond Bitcoin: A Taxonomy of Cryptocurrencies in a Historical Perspective by K. D. Shilov, A. V. Zubarev

“…The scientific novelty of this research lies in the absence of similar studies that look at the issue of categorizing cryptocurrencies through a historical lens.…”
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Cyberbullying Detection in Arabic Text Using Different Deep Learning Approaches by Humera Shaziya

“…However, this growth has also facilitated the increase of harmful behaviors, notably cyberbullying. Addressing this issue requires advanced emotional and sentiment analysis techniques. …”
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A novel approach of drowsiness levels detection using Vis-Net combined with facial emotion by Thuong-Cang Phan, Anh-Cang Phan, Ngoc-Hoang-Quyen Nguyen

“…Drowsiness while driving is a critical global issue, endangering not only drivers but also other road users. …”
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SVD-Based Feature Reconstruction Metric Network With Active Contrast Loss for Few-Shot SAR Target Recognition by Jia Zheng, Ming Li, Xiang Li, Peng Zhang, Yan Wu

“…However, in practical SAR applications, the scarcity of samples has always been a persistent issue, especially in the military domain, where certain target types may have very few samples. …”
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An overview of the elemental and functional content of the health indicators system as an economic category by Vitaliia Koibichuk, Agnieszka Jakubowska, Serhii Drozd, Anastasiia Sydorenko

“…The obtained results could be helpful for scientists and students interested in this research issue.…”
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Multimodal diagnosis of Alzheimer’s disease based on resting-state electroencephalography and structural magnetic resonance imaging by Junxiu Liu, Junxiu Liu, Shangxiao Wu, Shangxiao Wu, Shangxiao Wu, Qiang Fu, Qiang Fu, Xiwen Luo, Xiwen Luo, Yuling Luo, Yuling Luo, Sheng Qin, Sheng Qin, Yiting Huang, Yiting Huang, Zhaohui Chen, Zhaohui Chen

“…To address this issue and explore the collaborative relationship among multimodal EEG, this paper proposes a multimodal AD diagnosis model based on resting-state EEG and structural magnetic resonance imaging (sMRI). …”
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Designing a human resource scorecard: An empirical stakeholder-based study with a company culture perspective by Hasan Boudlaie, Hannan Amoozad Mahdiraji, Sabihe Shamsi, Vahid Jafari-Sadeghi, Alexeis Garcia-Pereze

“…The six-step Clarke-Braun process and the three-step Attride-Stirling thematic classification method were combined into a thematic network, and a seven-step research process was created. …”
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Enhancing Cropland Mapping with Spatial Super-Resolution Reconstruction by Optimizing Training Samples for Image Super-Resolution Models by Xiaofeng Jia, Xinyan Li, Zirui Wang, Zhen Hao, Dong Ren, Hui Liu, Yun Du, Feng Ling

“…Image spatial super-resolution reconstruction technology is widely applied to address this issue, typically transforming coarse-resolution remote sensing images into fine spatial resolution images, which are then used to generate fine-resolution land cover maps using classification techniques. …”
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Risk-Generating aspect of public history in digital environment (on the example of Russian video blogging in the 2020s) by Yu. V. Nikulich

“…Based on the analysis of data from in-depth interviews with experts in the field of media history (N = 60) conducted in 2022-2023, a classification of the main risks that a historian faces on the Web has been compiled. …”
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HG-LGBM: A Hybrid Model for Microbiome-Disease Prediction Based on Heterogeneous Networks and Gradient Boosting by Jun Guo, Chunyan Xu, Ying Liu

“…We employ a hierarchical heterogeneous graph transformer (HGT) encoder, which utilizes a multi-head attention mechanism to learn higher-order node representations, while LightGBM optimizes the classification task using gradient-boosted decision trees. …”
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Improving cancer detection through computer-aided diagnosis: A comprehensive analysis of nonlinear and texture features in breast thermograms. by Hamed Khodadadi, Shima Nazem

“…Breast cancer is a significant health issue for women, characterized by its high rates of mortality and sickness. …”
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Image denoising algorithm based on multi-channel GAN by Hongyan WANG, Xiao YANG, Yanchao JIANG, Zumin WANG

“…Aiming at the issue that the noise generated during image acquisition and transmission would degrade the ability of subsequent image processing, a generative adversarial network (GAN) based multi-channel image denoising algorithm was developed.The noisy color image could be separated into red-green-blue (RGB) three channels via the proposed approach, and then the denoising could be implemented in each channel on the basis of an end-to-end trainable GAN with the same architecture.The generator module of GAN was constructed based on the U-net derivative network and residual blocks such that the high-level feature information could be extracted effectively via referring to the low-level feature information to avoid the loss of the detail information.In the meantime, the discriminator module could be demonstrated on the basis of fully convolutional neural network such that the pixel-level classification could be achieved to improve the discrimination accuracy.Besides, in order to improve the denoising ability and retain the image detail as much as possible, the composite loss function could be depicted by the illustrated denoising network based on the following three loss measures, adversarial loss, visual perception loss, and mean square error (MSE).Finally, the resultant three-channel output information could be fused by exploiting the arithmetic mean method to obtain the final denoised image.Compared with the state-of-the-art algorithms, experimental results show that the proposed algorithm can remove the image noise effectively and restore the original image details considerably.…”
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Analysis of the labour market in the tourism sector in Poland in statistical terms before, during and after the Covid 19 pandemic by Parzych Krzysztof

“…The article addresses the issue of changes in the labour market in the tourism services sector in the context of Covid 19 pandemic. …”
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SMFNet: One-Shot Recognition of Chinese Character Font Based on Siamese Metric Model by Fei Yan, Hua Zhang

“…Furthermore, compared to other prevalent CNN classification models, SMFNet exhibits outstanding performance in terms of parameter quantity and demonstrates excellent capabilities in recognizing new fonts. …”
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Learning From Imbalanced Data Using Triplet Adversarial Samples by Jaesub Yun, Jong-Seok Lee

“…The imbalance of classes in real-world datasets poses a major challenge in machine learning and classification, and traditional synthetic data generation methods often fail to address this problem effectively. …”
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DOA estimation with anti-jitter based on DMA heterogeneous codebook cyclic Kalman filtering by LIU Wuding, YI Ming, JIN Liang, JIAO Shiheng, ZHANG Bingqi, LYU Haoyu

“…Furthermore, spatial spectrum estimation was performed using the multiple signal classification (MUSIC) algorithm based on Hankel matrix decomposition. …”
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PC-Match: Semi-Supervised Learning With Progressive Contrastive and Consistency Regularization by Mikyung Kang, Sooyon Seo, Moohong Min

“…Our method addresses the issue of uncertain boundaries in the representation space by focusing on the unique characteristics of each class. …”
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TECHNIQUES AND FACTORS CONTRIBUTING TO DEVELOPING CRITICAL THINKING SKILLS by Irina Vladimirovna Glukhova

“…The methods involve the analysis of the philosophical, psychology-pedagogical, methodical literature and the scientific periodical publications; generalisation of the Russian and foreign background, classification and arrangement of the considered issues, supervision. …”
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