Evaluating the Effect of Surrogate Data Generation on Healthcare Data Assessment by Saeid Sanei, Tracey K. M. Lee, Issam Boukhennoufa, Delaram Jarchi, Xiaojun Zhai, Klaus McDonald-Maier

“…In healthcare applications, often it is not possible to record sufficient data as required for deep learning or data-driven classification and feature detection systems due to the patient condition, various clinical or experimental limitations, or time constraints. …”
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MCTGNet: A Multi-Scale Convolution and Hybrid Attention Network for Robust Motor Imagery EEG Decoding by Huangtao Zhan, Xinhui Li, Xun Song, Zhao Lv, Ping Li

“…To address this issue, we propose an end-to-end decoding framework, MCTGNet, whose core idea is to formulate the classification process as a high-order function approximation task that jointly models both task labels and feature structures. …”
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Identifying Suicidal Ideation Through Automatic Extraction of Emotional Traces in Suicide Notes by Angel Hernandez-Castaneda, Rene Arnulfo Garcia-Hernandez, Yulia Ledeneva

“…Suicide is a critical mental health issue and one of the leading causes of death worldwide. …”
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Effective Skin Cancer Diagnosis Through Federated Learning and Deep Convolutional Neural Networks by Mabrook S. Al-Rakhami, Salman A. AlQahtani, Abdulaziz Alawwad

“…The primary objective of this work is to overcome this issue through a federated learning approach. We created a privacy-preserving and accurate skin cancer classification system that can assist dermatologists and specialists in making informed patient care decisions. …”
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Deep Learning for Visual Leading of Ships: AI for Human Factor Accident Prevention by Manuel Vázquez Neira, Genaro Cao Feijóo, Blanca Sánchez Fernández, José A. Orosa

“…The primary source of classification error was linked to images with low bow deviation, largely influenced by human mislabeling during dataset preparation. …”
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RETRACTED ARTICLE: Multi-stage biomedical feature selection extraction algorithm for cancer detection by Ismail Keshta, Pallavi Sagar Deshpande, Mohammad Shabaz, Mukesh Soni, Mohit kumar Bhadla, Yasser Muhammed

“…This work proposes a Multi-stage algorithm for Biomedical Deep Feature Selection (MBDFS) to address this issue. In the first, three feature selection techniques are combined for thorough feature selection, and feature subsets are obtained; in the second, an unsupervised neural network is used to create the best representation of the feature subset to enhance final classification accuracy. …”
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A steel surface defect detection method based on improved RetinaNet by Zhanglin Yang, Yu Liu

“…Thirdly, an IA-BCELoss is introduced as the classification loss function, coupling classification and regression predictions to ensure high-quality detection boxes while maintaining classification accuracy. …”
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Research on Reservoir Hydrocarbon-Bearing Property Identification Method Based on Logging Data and Machine Learning by Chunyong Yu, Kaixuan Qu, Li Peng

“…The influence of different inputs and models on classification performance was compared. Lastly, the importance of each input feature was analyzed. …”
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Enhanced Diagnosis of Thyroid Diseases Through Advanced Machine Learning Methodologies by Osasere Oture, Muhammad Zahid Iqbal, Xining (Ning) Wang

“…Resampling techniques, such as SMOTE oversampling and Random undersampling, are utilised to correct the issue of class imbalance in the dataset. Finally, a web-based application is developed utilising the most effective model, GBC, which facilitates easy classification of thyroid diseases. …”
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The Concept of Post-Non-Classic al Methodological Strategy by Professor Olexander Oguy by Olha Chervinska

“…The article “The Historical-Social Genres in Post-Non-Classical Methodology: the Principles of Classification” (Issue 86, 2012) is a vivid example of a profound present-day academic research. …”
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Tessier number 30 by Senan Manesh, Padmakumar G, Jisha K

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Trapezio-metacarpal arthritis: The price of an opposable thumb! by Tolga Turker, Sunil Thirkannad

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К вопросу о сущности понятия «интеллектуальные услуги»

“…This article focuses on a new, but quite topical issue in a post-industrial society - "knowledge intensive services". …”
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TRANSPORT OF GOODS ON THE EXAMPLE OF A SELECTED SECTION OF TRANSPORT IN POLAND by Elżbieta MACIOSZEK, Irena JURDANA

“…The article, after introducing the issue, presents the classification of sea vessels, refers to the market of maritime transport services and its conditions for further development, and analyzes the overall volume of goods transported in the seaports of Gdańsk and Gdynia against the background of other Polish seaports in the years 2011-2021.…”
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Micro- and Nano-Plastics in Drinking Water: Threat or Hype? Critical State-of-the-Art Analysis of Risks and Approaches by Andrea G. Capodaglio

“…Many studies have addressed this issue under various aspects; however, actual and definitive evidence that MPs are a cause of human health risk in actual environmental conditions has not been provided. …”
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Supervised Machine Learning Thyroid Carcinoma Diagnosis Using Wide-Field SHG Microscopy by Yaraslau Padrez, Radu Hristu, Igor Timoshchenko, Lucian G. Eftimie, Danielis Rutkauskas, Lena Golubewa

“…To address this issue, we applied unsupervised segmentation to exclude mislabeled regions and consider capsular heterogeneity as a diagnostic feature. …”
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Grain Size Effects on Visible and Near-infrared (0.35–2.5 μm) Laboratory Spectra of Rare Meteorite Classes by K. I. Ridenhour, V. Reddy, A. Battle, D. Cantillo, N. C. Pearson, J. A. Sanchez

“…We analyzed the reflectance properties, diagnostic spectral band parameters (band centers and band area ratios), spectral slope, and taxonomic classification. The spectra were analyzed using principal component analysis to detect trends in principal component (PC) space and the impact on asteroid taxonomic classification in the Bus–DeMeo system. …”
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Transfer Kernel Extreme Learning Machine Based on Bidirectional Cross Domain Approximation by Yuanxiao Zeng, Huimin Li, Yanbing Song

“…To validate the effectiveness of our proposed method, we conducted classification experiments on four publicly available datasets. …”
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Research on algorithm for improving imaging accuracy of CFRP low speed impact damage by WU Xiangnan, CHENG Xiaojin, LI Qixin, SHANG Jianhua

“…C-scan represents a conventional ultrasonic imaging method. To address the issue of low imaging precision in C-scan detection of internal damage caused by low-velocity impact in CFRP，gradient operators were employed to process the original images，and transfer learning methodology was utilized to conduct damage classification training on ResNet18 and ResNet50 architectures. …”
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Research on land desertification in Ejin Banner from 1991 to 2021 based on Albedo-MSAVI feature space model by Xiaofang Jiang

“…Desertification is a serious issue of land degradation in the arid areas of northwest China. …”
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