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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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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Individual Nicknames in Kostroma Dialects: A General Motivational Overview by Elizaveta Olegovna Borisova

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For an epistemology of sources by Joseph Morsel

“…Initially, the crucial issue for a discipline that sees itself as a mode of indirect knowledge was to make the medium transparent, as if we could hear the witnesses directly in order to arrive at the truth of things. …”
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The Discriminants of Long and Short Duration Failures in Fulfillment Sortation Equipment: A Machine Learning Approach by Abed Mutemi, Fernando Bacao

“…Under a variety of hyperparameter configurations, we test and compare the outcomes of eight different machine learning classification algorithms, seven individual classifiers, and a stacked ensemble. …”
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The Role of Prophylaxis for Preventing Venous Thromboembolism in Major Urological Surgery and Nursing Management by Senem Güneş Kara

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Suscetibilidade a movimentos de massa e inundações com ênfase no planejamento do turismo no município de Morretes (Paraná, Brasil) by Ricardo Michael Pinheiro Silveira, Alexei Nowatzki, Marcos Aurélio Tarlombani da Silveira

“…In contrast, considering that 15.83% of jobs in Morretes are directly linked to tourism, it is important to include this issue in the municipality's planning and land management.…”
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Sport-Orthopädie by Schroeder J, Otte A, Reer R, Braumann KM

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Was Aristotle a non-classical logician? by Luis F. BARTOLO ALEGRE

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Normalization-Guided and Gradient-Weighted Unsupervised Domain Adaptation Network for Transfer Diagnosis of Rolling Bearing Faults Under Class Imbalance by Hao Luo, Xinyue Wang, Li Zhang

“…However, real-world diagnostic scenarios frequently encounter data imbalances, which complicates the learning of the classification boundary for the minority class within the diagnostic model. …”
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Students' Opinions Regarding Animation Supported Piano Teaching Method's Materials by Ayça Avcı

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Improving classifier decision boundaries and interpretability using nearest neighbors by Johannes Schneider, Arianna Casanova

“…Through diverse evaluations using both self-trained and state-of-the-art pre-trained convolutional neural networks, we show that our framework enhances (i) resistance to label noise, (ii) robustness against adversarial attacks, (iii) classification accuracy, and offers novel approaches for (iv) interpretability. …”
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Emil Kraepelin y el problema de la degeneración Emil Kraepelin and the problem of degeneration by Sandra Caponi

“…The article explores not only Kraepelin's concern with defining a classification of mental pathologies just as well grounded as the classifications of biological pathologies, but also his use of comparative statistics and his explanations of morbid heredity.…”
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The place and the value of phylogeny in paleoanthropology: just talking or never mind? by Valéry Zeitoun

“…These practices result from a lack of knowledge of the basic rules of classification, resulting in phylogenetic paleoanthropological discourses that are usually decoupled from the rules of systematics. …”

The Emergence of a Sustainable and Reliable Supply Chain Paradigm in Supply Chain Network Design by Sajad Amirian, Maghsoud Amiri, Mohammad Taghi Taghavifard

“…A sustainable and reliable supply chain (S&RSC) as an emerging paradigm, with a comprehensive view, leads the supply chain network design (SCND) issue to the desired situation. This study, as part of an emerging theme, presents a systematic review and classification of 42 articles at the intersection of sustainability, reliability, and supply chain network design. …”
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Comparison of Matrix Decomposition in Null Space-Based LDA Method by Carissa Devina Usman, Farikhin, Titi Udjiani

“…To determine the performance of the NLDA methods, the classification accuracy of the three methods was measured using the confusion matrix. …”
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Forming the professional culture of a future specialist in the field of adaptive physical education and sport by Galymzhan Kopzhanov, Aidyn Doshybekov, Aliya Belegova, Alexander Orlov, Abylay Duisembek

“…Different methodological means were used for this study, among which, functional and dialectical approaches and the method of analysis and synthesis, comparison, classification, and generalisation. The results of the work done are theoretical and practical conclusions that relate to the issue under study and reveal its essence. …”
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A systematic comparison of short-term and long-term mortality prediction in acute myocardial infarction using machine learning models by Yawei Yang, Junjie Tang, Liping Ma, Feng Wu, Xiaoqing Guan

“…Age, BNP, and the Killip classification of AMI were consistently identified as robust predictors across all three groups. …”
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Turning waste into wealth: Person identification by emotion‐disturbed electrocardiogram by Wei Li, Cheng Fang, Zhihao Zhu, Chuyi Chen, Aiguo Song

“…Abstract The issue of electrocardiogram (ECG)‐based person identification has attracted intense research interests nowadays. …”
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