Data augmentation for Arabic text classification: a review of current methods, challenges and prospective directions by Samia F. Abdhood, Nazlia Omar, Sabrina Tiun

“…This review article investigates data augmentation techniques for Arabic texts, specifically in the text classification field. A thorough review was conducted to give a concise and comprehensive understanding of these approaches in the context of Arabic classification. …”
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Leaf‐wood classification of terrestrial laser scanning data with co‐registered near‐infrared photography by Luke A. Brown, Israa Kadhim, F. Mark Danson

“…A novel leaf‐wood classification approach is presented that avoids these issues by exploiting the spectral transmittance properties of leaves and wood, which, at near‐infrared wavelengths, demonstrate much larger differences than for reflectance. …”
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Ensemble Network Graph-Based Classification for Botnet Detection Using Adaptive Weighting and Feature Extraction by Muhammad Aidiel Rachman Putra, Tohari Ahmad, Dandy Pramana Hostiadi, Royyana Muslim Ijtihadie

“…While this analytical method demonstrates satisfactory accuracy, it still faces challenges related to low recall, precision, and F1-score, due to issues such as imbalanced data and the complexity of botnet behavior. …”
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GLN-LRF: global learning network based on large receptive fields for hyperspectral image classification by Mengyun Dai, Tianzhe Liu, Youzhuang Lin, Zhengyu Wang, Yaohai Lin, Changcai Yang, Riqing Chen

“…Such locality-based methods have limitations in capturing global contextual information and incur high computational costs due to patch overlap. To alleviate these issues, we propose a global learning network with a large receptive fields network (GLNet) to capture more comprehensive and accurate global contextual information, thereby enriching the underlying feature representation for hyperspectral image classification. …”
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Quantifying the agreement and accuracy characteristics of four satellite-based LULC products for cropland classification in China by Jie Xue, Xianglin Zhang, Songchao Chen, Bifeng Hu, Nan Wang, Zhou Shi

“…Despite the differences in LULC classification schemes, there is a lack of research on assessing the accuracy of their application to croplands in a unified framework. …”
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Encoding-Based Machine Learning Approach for Health Status Classification and Remote Monitoring of Cardiac Patients by Sohaib R. Awad, Faris S. Alghareb

“…In this context, developing a GUI-based classification approach can significantly facilitate online monitoring and provide real-time warnings by predicting potential complications. …”
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GAN-enhanced deep learning for improved Alzheimer's disease classification and longitudinal brain change analysis by Purushottam Pandey, Surbhi Bhatia Khan, Surbhi Bhatia Khan, Surbhi Bhatia Khan, Jyoti Pruthi, Eid Albalawi, Ali Algarni, Ahlam Almusharraf

“…However, despite these advancements, issues such as limited accuracy, computational complexity, and the risk of overfitting still pose challenges in the field of AD classification. …”
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Representation Learning of Multi-Spectral Earth Observation Time Series and Evaluation for Crop Type Classification by Andrea González-Ramírez, Clement Atzberger, Deni Torres-Roman, Josué López

“…Important monitoring tasks include land use and land cover classification, change detection, forest monitoring and crop type identification, among others. …”
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Issues of National Drug Security in Formation of a Reserve of Antibacterial Agents Intended to Eliminate Medical and Sanitary Consequences of Emergencies by L. Yu. Chernikova, V. N. Dmitruk, N. L. Denisov, E. G. Morozova, A. V. Ratkin, E. V. Karakulova

“…The article considers the issues of forming a reserve of antibacterial agents designed to eliminate medical and sanitary consequences of emergencies from the perspective of national drug security.Aim. …”
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Design Guidelines for Combining Digital Human Modeling and Virtual Reality to Foresee Workplaces Ergonomics Issues During Product Development by Adailton G. Silva, Rafael Vieira Miguez, Lucas G. G. de Almeida, Márcio F. Catapan, Carina S. Silveira, Marcelo da S. Hounsell, Marcus V. M. Gomes, Ingrid Winkler

“…Based on physical observations of body-posture angles and total effort classification, our proof of concept performed comparably to conventional methods. …”
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Comparison of CNN Architectures for Pre-Cancerous Cervical Lesion Classification Based on Colposopy Images Using IARC and AnnoCerv Datasets by Sigit Prasetyo Noprianto, Siti Nurmaini, Dian Palupi Rini

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SwiftSession: A Novel Incremental and Adaptive Approach to Rapid Traffic Classification by Leveraging Local Features by Tieqi Xi, Qiuhua Zheng, Chuanhui Cheng, Ting Wu, Guojie Xie, Xuebiao Qian, Haochen Ye, Zhenyu Sun

“…However, the increasing prevalence of encrypted traffic and the confidentiality of protocol details have made this task more challenging. To address this issue, we propose a progressive, adaptive traffic classification method called SwiftSession, designed to achieve real-time and accurate classification. …”
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The LETBP feature descriptor based fish species classification using Kepler optimization with Extreme Learning Machine by Annalakshmi GANESAN, Sakthivel Murugan SANTHANAM

“…This, in turn, makes fish classification a challenging and arduous task. Hence, in order to address the issue in this paper an automatic fish classification technique is proposed. …”
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A Deep Learning-Based Solution to the Class Imbalance Problem in High-Resolution Land Cover Classification by Pengdi Chen, Yong Liu, Yuanrui Ren, Baoan Zhang, Yuan Zhao

“…Class imbalance (CI) poses a significant challenge in machine learning, characterized by a substantial disparity in sample sizes between majority and minority classes, leading to a pronounced “long-tail effect” in statistical distributions and subsequent inference processes. This issue is particularly acute in high-resolution land cover classification within arid regions, where CI tends to bias classification outcomes towards majority classes, often at the expense of minority classes. …”
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The Wrist Joint Complex: Anatomical, Physiological and Biomechanical Aspects, Characteristics, Classification, and Treatment of Distal Radius Fractures by Carlos Eduardo Medina Gonzalez, Mikhail Benet Rodríguez, Fernando Marco Martínez

“…The authors address this issue with an extensive literature review and images and figures taken from the literature and made by the authors themselves.…”
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In situ measurements of carbonation rate with air permeability for the development of a proposal for a classification of exposure to carbonation. by Luis Ebensperger M., Mario Olivares O.

“…The ingress of carbon dioxide CO2 into concrete is an issue that, unfortunately, does not have sufficient precedents at the national level for the execution of the Residual Service Life analysis of concrete structures. …”
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Lithuania’s Binary Worker Classification Vs. A Teleological Interpretation of the EU’s ‘Worker’ Concept by Germany and the UK by Lauschke Hans

“…The article explores whether Lithuania’s concept of darbuotojas (employee) and its rigid binary classification of work relationships is challenged by an evolving European employment law landscape, shaped by a rise of unconventional work relationships that blur the lines between employees and self-employed persons. …”
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Punishment as defined by the Criminal Code of the Russian Federation and the Russian criminal law doctrine: Concept, system, and classification by L.R. Safin

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Fabric Faults Robust Classification Based on Logarithmic Residual Shrinkage Network in a Four-Point System by Canan Tastimur, Erhan Akin, Mehmet Agrikli

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TGF-Net: Transformer and gist CNN fusion network for multi-modal remote sensing image classification. by Huiqing Wang, Huajun Wang, Linfen Wu

“…Although deep learning technology has achieved certain results in remote sensing image classification, it still has certain challenges for multi-modality remote sensing data classification. …”
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