Node Classification Method Based on Hierarchical Hypergraph Neural Network by Feng Xu, Wanyue Xiong, Zizhu Fan, Licheng Sun

“…This paper proposes an innovative hierarchical hypergraph neural network (HCHG) to address these issues. The HCHG combines the high-order relationship-capturing capability of hypergraphs, uses the Louvain community detection algorithm to identify community structures within the network, and constructs hypergraphs layer by layer. …”
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Post-variational classical quantum transfer learning for binary classification by Kavitha Yogaraj, Brian Quanz, Tarun Vikas, Arijit Mondal, Samrat Mondal

“…To evaluate generalizability, we tested PVCQTL on three additional binary classification datasets, observing improved accuracy on each. …”
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BinaryViT: Binary Vision Transformer for Hyperspectral Image Classification by Xiang Hu, Taolin Liu, Zhe Guo, Yuxiang Tang, Yuanxi Peng, Tong Zhou

“…However, binary quantization in transformers faces challenges such as degradation of feature representation capability after binarizing self-attention mechanisms and decline in fusion efficiency of multiscale spectral–spatial information, leading to relatively lagging progress in this field. To address these issues, this study proposes a novel binary vision transformer architecture tailored for hyperspectral image classification. …”
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The aspects of classification and examination of cigarettes in the course of forensic commodity examination by N. V. Kryvoruchko, T. S. Kyrychenko

“…The main attention is paid to the issues of classification of tobacco products, determination of their quality and compliance with the established standards. …”
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Effective tweets classification for disaster crisis based on ensemble of classifiers by Christopher Ifeanyi Eke, Kholoud Maswadi, Musa Phiri, Mulenga, Mohammad Imran, Dekera Kwaghtyo, Akeremale Olusola Collins

“…In addition to demonstrating the efficacy of ensemble methods in disaster tweet classification, this study also provides valuable insights for improving social media-based crisis response. …”
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Transformer-based ensemble model for dialectal Arabic sentiment classification by Omar Mansour, Eman Aboelela, Remon Talaat, Mahmoud Bustami

“…Sentiment analysis is crucial for assessing public sentiment toward specific issues; however, applying it to dialectal Arabic presents considerable challenges in natural language processing. …”
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SPLAS: An Autonomous Lightweight and Versatile Image Classification Robustness Benchmark by Yiming Bian, Arun K. Somani

“…Image classification is one of the most fundamental vision tasks and remarkable progress in prediction accuracy has been made with deep neural networks and vision transformers in the last decade. …”
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Emotion Classification from Electroencephalographic Signals Using Machine Learning by Jesus Arturo Mendivil Sauceda, Bogart Yail Marquez, José Jaime Esqueda Elizondo

“…However, significant misclassification issues were observed, such as EEGNetv4 predicting all instances as “Disgust” or “Neutral” depending on the configuration. …”
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FAHM: Frequency-Aware Hierarchical Mamba for Hyperspectral Image Classification by Peixian Zhuang, Xiaochen Zhang, Hao Wang, Tianxiang Zhang, Leiming Liu, Jiangyun Li

“…To address these issues, we present a novel frequency-aware hierarchical Mamba (FAHM) for HSI classification. …”
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Estimation of Fractal Dimensions and Classification of Plant Disease with Complex Backgrounds by Muhammad Hamza Tariq, Haseeb Sultan, Rehan Akram, Seung Gu Kim, Jung Soo Kim, Muhammad Usman, Hafiz Ali Hamza Gondal, Juwon Seo, Yong Ho Lee, Kang Ryoung Park

“…To address these issues, this study proposes a computationally effective residual convolutional attention network (RCA-Net) for the disease classification of plants in field images with complex backgrounds. …”
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Empowering Healthcare: TinyML for Precise Lung Disease Classification by Youssef Abadade, Nabil Benamar, Miloud Bagaa, Habiba Chaoui

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Encrypted traffic classification encoder based on lightweight graph representation by ZhenWei Chen, XiaoXu Wei, YongSheng Wang

“…Abstract In recent years, traffic encryption technology has been widely adopted for user information protection, leading to a substantial increase in encrypted traffic in communication networks. To address issues such as unclear local key features and low classification accuracy in traditional malicious traffic detection and normal application classification, this paper introduces an encrypted traffic classification encoder based on lightweight graph representation. …”
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Classification of Nanomaterial Drug Delivery Systems for Inflammatory Bowel Disease by Wang H, Zhou F, Shen M, Ma R, Yu Q

“…This review summarizes the classification of NDDS for IBD, and concludes that, despite ongoing challenges, NDDS may represent an effective treatment approach for IBD. …”
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Construction of a Multimodal Dataset for Emergency Event Identification and Classification by Yifan ZHANG, Zuqin CHEN, Jike GE, Mingkun HE, Jie TAN

“…It not only expands the category range, but also provides more detailed classification in the natural disaster category, which is crucial for developing robust and accurate multimodal classification models. …”
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IoT Based Meat Freshness Classification Using Deep Learning by Zarif Wasif Bhuiyan, Syed Ali Redwanul Haider, Adiba Haque, Mohammad Rejwan Uddin, Mahady Hasan

“…This paper introduces a novel Internet of Things (IoT) system that integrates gas sensors and advanced machine learning models, particularly deep learning, to address these issues effectively. The system combines image-based classification using a custom Convolutional Neural Network (CNN) with gas sensor data to provide a comprehensive, real-time solution for the classification of both beef and mutton in terms of species and freshness. …”
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On the Issue of the Necessity to Comply with the Requirements of Legislation on the Production of Forensic Expertise and Procedural Expert Errors by N. V. Mikhaleva

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Controversial and open issues of diagnosis and treatment of myocarditis (based on the discussion of Russian national recommendations) by O. V. Blagova, O. M. Moiseeva, F. N. Paleev

“…Comments on the definition and classification of inflammatory heart diseases are given. …”
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Job recommender systems: a systematic literature review, applications, open issues, and challenges by Duygu Çelik Ertuğrul, Selin Bitirim

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Solutions for Lithium Battery Materials Data Issues in Machine Learning: Overview and Future Outlook by Pengcheng Xue, Rui Qiu, Chuchuan Peng, Zehang Peng, Kui Ding, Rui Long, Liang Ma, Qifeng Zheng

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Real-World Application of Digital Morphology Analyzers: Practical Issues and Challenges in Clinical Laboratories by Hanah Kim, Mina Hur, Giuseppe d’Onofrio, Gina Zini

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