Application of the metaheuristic algorithms to quantify the GSI based on the RMR classification by Pouya Koureh Davoodi, Farnusch Hajizadeh, Mohammad Rezaei

“…Abstract Accurate classification of rock masses is an essential task in earth sciences applications. …”
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Autoinflammatory diseases. Part 1: concept, classification, immunobiology, diagnosis by O.V. Shvaratska, M.V. Kalichevska, O.V. Klymenko, O.M. Taran, O.V. Klimova, Y.V. Vilenskyi, T.M. Plekhanova, T.K. Mavropulo

“…This scientific review aimed to systematize current ideas about autoinflammatory diseases to increase medical professionals’ awareness regarding the issue, which is significantly lower than that of other categories of immune dysfunction. …”
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Comorbidity: a Modern View on the Problem; Classification (first notice) by Abrahamovych O., Fayura O., Abrahamovych U.

“…The work analyzes the literature sources, which deal with the study of comorbid diseases and sufficiently thoroughly reflect the current views of the scientists on the issue. Results of the investigation and their discussion. …”
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The Development of Entertainment Programs on Mongolian National Radio and Television and Issues of Literary Skill by . Suriga

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An Enhanced Tree Ensemble for Classification in the Presence of Extreme Class Imbalance by Samir K. Safi, Sheema Gul

“…Researchers using machine learning methods for classification can face challenges due to class imbalance, where a certain class is underrepresented. …”
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The classification of the legal customs of the Ukrainian people: Historical-legal aspect by Marian Bedrii, Mariana Syrko

“…The article is devoted to the issues of analysing the legal significance of Ukrainian customs through the prism of various criteria which are not exhaustive but contributed to the systematization of knowledge about the Ukrainian customary law. …”
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Medical short text classification via Soft Prompt-tuning by Xiao Xiao, Han Wang, Feng Jiang, Tingyue Qi, Wei Wang

“…The experimental results demonstrate the effectiveness of our method and its potential as a significant advancement in medical short text classification. By addressing issues related to short text length, feature sparsity, and specialized medical terminology, it offers a promising advancement toward more accurate and interpretable medical text classification.…”
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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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Safe and secure classification protocol in two-tiered sensor networks by Rui LI, Jin-guo LI, Hao CHEN

“…A safe and security classification protocol named SSC was proposed for two-tiered sensor networks,which enable storage nodes to process classification correctly without knowing both the value of classifying rules and the data which will be classified.To protect privacy,an oblivious comparison technique was presented.MHash,which enable storage nodes to compare data items from sink and sensors without knowing their values.Based on MHash and prefix membership verification technique,classification target was achieved in protecting the privacy of both sensor collected data and sink issued classification rules.To verify the correctness of classification results,a crossed neighborhood technique was proposed which organize sensors and data items in one sensor in sequences,to allow the sink checking the correctness of sampling classification results.Analysis and experimental results validate the efficacy and efficiency of SSC protocol.…”
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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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Enhanced Skin Lesion Segmentation and Classification Through Ensemble Models by Su Myat Thwin, Hyun-Seok Park

“…This study addresses challenges in skin cancer detection, particularly issues like class imbalance and the varied appearance of lesions, which complicate segmentation and classification tasks. …”
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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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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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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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Loan classification using a feed-forward neural network by U. I. Behunkou

“…The purpose of the study is to construct and study the use of a feed-forward neural network to solve the problem of loan classification, as well as to conduct a comparative analysis of the neural networkbased approach with the existing approach based on logistic regression.Methods. …”
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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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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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Ensuring the performance of external communications: An informal classification of target groups by Mikhail V. Rodchenkov

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