Application of Bispectral Technology and Deep Learning for Feature Extraction and Classification by Chuanshui Liu, Jing Yang, Xuan Zhan, Jianwen Chen

“…Therefore, to address these issues and fully utilize the phase information of status signals, a bispectral technology and deep learning-network-based method for image feature extraction and classification recognition are proposed in this paper. …”
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Random Forest Algorithm for Toddler Nutritional Status Classification Website by Maylia Fatmawati, Bambang Agus Herlambang, Noora Qotrun Nada

“…These results highlight the informative attributes in the dataset, such as age, gender, and height, that enhance classification accuracy. The Flask-based website enables users, such as healthcare professionals and policymakers, to input essential data points and receive instant classification results, thereby supporting prompt and informed responses to nutritional health issues. …”
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Heart Signal Analysis Using Multistage Classification Denoising Model by Ravi Raj Choudhary, Mamta Rani, Ranjit Kaur, Mahendra Bhadu

“…At the user end, binary classification of signals is performed, and if signals are abnormal then further classification is done at the clinic. …”
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GMT: Gzip-based Memory-efficient Time-series classification by Sungmin Lee, Kichang Lee, JaeYeon Park, JeongGil Ko

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Medical image classification by incorporating clinical variables and learned features by Jiahui Liu, Xiaohao Cai, Mahesan Niranjan

“…Medical image classification plays an important role in medical imaging. …”
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A comprehensive functional classification of cleft hand: The DAST concept by Alok Sharma, Namita Sharma

“…Despite a large number of classifying systems available, none encompass all the relevant issues. Aims: The purpose of this work is to present an all-inclusive and universally acceptable classification of the deformity which would graphically represent the entire gamut of possible presentations; principal and associated. …”
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Manhattan Correlation Attention Network for Metal Part Anomaly Classification by Zijiao Sun, Yanghui Li, Fang Luo, Zhiliang Zhang, Jiaqi Huang, Qiming Zhang

“…Abnormal classification of metal components plays an important role in industrial product manufacturing. …”
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Ensuring the performance of external communications: An informal classification of target groups by Mikhail V. Rodchenkov

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Enhancing Binary Convolutional Neural Networks for Hyperspectral Image Classification by Xuebin Tang, Ke Zhang, Xiaolei Zhou, Lingbin Zeng, Shan Huang

“…Additionally, to address suboptimal training issues, EBCNN employs a dynamic curriculum learning strategy underpinned by a confidence-aware loss function, Superloss, enabling progressive binarization and enhancing its classification effectiveness. …”
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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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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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The concept of crime and the classification of crimes in the criminal law of foreign countries by N. V. Miroshnichenko, V. Yu. Maksimov

“…The article concludes with a study of doctrinal and legislative experience in the field of classification of crimes, as well as the practical significance of this issue for decision-making in the field of criminal legal assessment of committed acts.Results. …”
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Innovative Approaches to Traffic Anomaly Detection and Classification Using AI by Borja Pérez, Mario Resino, Teresa Seco, Fernando García, Abdulla Al-Kaff

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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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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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Mutable Composite Firefly Algorithm for Microarray-Based Cancer Classification by Fathima Fajila, Yuhanis Yusof

“…Results show that CFS-MCFA-SVM achieved 100% accuracy with only a few biomarkers for all four cancer microarray datasets, indicating the efficiency and the competing performance of the proposed algorithm in biomarker detection for microarray-based cancer classification. Apart from that, the proposed algorithm would also contribute to cancer-related issues upon verifying the relevancy of particular genes via technical analysis from a medical perspective and would be utilised in feature selection applications. …”
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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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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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Empowering Healthcare: TinyML for Precise Lung Disease Classification by Youssef Abadade, Nabil Benamar, Miloud Bagaa, Habiba Chaoui

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