Deep ensemble learning for gastrointestinal diagnosis using endoscopic image classification by Samra Siddiqui, Junaid Ali Khan, Shabbab Algamdi

“…The goal of proposed framework is the effective classification of endoscopic GIT images with enhanced accuracy. …”
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Code Obfuscation: A Comprehensive Approach to Detection, Classification, and Ethical Challenges by Tomer Raitsis, Yossi Elgazari, Guy E. Toibin, Yotam Lurie, Shlomo Mark, Oded Margalit

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Random Oversampling-Based Diabetes Classification via Machine Learning Algorithms by G. R. Ashisha, X. Anitha Mary, E. Grace Mary Kanaga, J. Andrew, R. Jennifer Eunice

“…In this work, we propose an e-diagnostic model for diabetes classification via a machine learning algorithm that can be executed on the Internet of Medical Things (IoMT). …”
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Transformer-Driven Active Transfer Learning for Cross-Hyperspectral Image Classification by Muhammad Ahmad, Francesco Mauro, Rana Aamir Raza, Manuel Mazzara, Salvatore Distefano, Adil Mehmood Khan, Silvia Liberata Ullo

“…Hyperspectral image (HSI) classification presents inherent challenges due to high spectral dimensionality, significant domain shifts, and limited availability of labeled data. …”
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Adaptive Spectral Correlation Learning Neural Network for Hyperspectral Image Classification by Wei-Ye Wang, Yang-Jun Deng, Yuan-Ping Xu, Ben-Jun Guo, Chao-Long Zhang, Heng-Chao Li

“…To address these issues, a new adaptive spectral-correlation learning neural network (ASLNN) is proposed for HSI classification. …”
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Optimized DenseNet Architectures for Precise Classification of Edible and Poisonous Mushrooms by Jay Prakash Singh, Debolina Ghosh, Jagannath Singh, Anurag Bhattacharjee, Mahendra Kumar Gourisaria

“…The study intends to show how model architectural changes and optimization approaches can offer solutions to issues like overfitting and significant resource expenditure on computation and ultimately improve mushroom classification systems for efficiency and efficacy. …”
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Semi-Supervised Deep Subspace Embedding for Binary Classification of Sella Turcica by Kaushlesh Singh Shakya, Azadeh Alavi, Julie Porteous, Priti Khatri, Amit Laddi, Manojkumar Jaiswal, Vinay Kumar

“…The proposed method improves classification accuracy by 15% compared to state-of-the-art models and reduces retraining costs.…”
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Opposition-based learning techniques in metaheuristics: classification, comparison, and convergence analysis by Rihab Lakbichi, Farouq Zitouni, Saad Harous, Aridj Ferhat, Abdelhadi Limane, Abdulaziz S. Almazyad, Guojiang Xiong, Ali Wagdy Mohamed

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Taxation of cross-border digital transactions: development of approaches to income classification by N. S. Milogolov, A. B. Berberov

“…The developing approaches towards the classification of various types of income received as a result of electronic transactions for the purposes of domestic tax legislation and double tax treaties at the level of international tax governance and at the level of Russian tax legislation and practice.The aim of this paper is to test the hypothesis that the legal approach and criteria developed in the course of work of global tax governance institutions (OECD and UN) towards income classification from cross-border transactions in electronic form can be used as a basis for legal approach towards this issue in Russia.The authors use the methods of comparative legal analysis and logical-analytical method. …”
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STATISTICAL, CLINICAL AND MORPHOLOGICAL CLASSIFICATIONS OF CORONARY HEART DISEASE — POSSIBLE TO UNITE? by S. A. Boytsov, I. V. Samorodskaya, A. S. Galyavich, F. I. Belyalov, D. Sh. Vaisman, I. S. Yavelov, N. N. Nikulina, S. S. Yakushin, O. V. Zayratiants, E. P. Kakorina

“…A problem of synonymy and synonyms legitimation is of big importance in practice, as multiple classifications lead to problems of organization and provision of medical care, and incorrect statistics. …”
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Progressive multi-scale multi-attention fusion for hyperspectral image classification by Hu Wang, Sixiang Quan, Jun Liu, Hai Xiao, Yingying Peng, Zhihui Wang, Huali Li

“…The complementary responsibilities of the three branches address the issue of feature loss in details and improve the network’s learning efficiency across feature maps of different scales. …”
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Research note: Application of convolutional neural networks for feather classification in chickens by Jiajia Niu, Tong Li, Kunlong Qi, Yang Liu, Haixuan Deng, Yujia Hu, Dan Xu, Liuting Wu, Felix Kwame Amevor, Yingjie Wang, Gang Shu, Xiaoling Zhao

“…However, the reliability of conventional manual classification methods is debated due to the intricate nature of feather color traits. …”
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Complete classification of self-similar solutions for singular polytropic filtration equations by Yanzhi Zheng, Jingxue Yin, Shanming Ji

“…This article concerns the complete classification of self-similar solutions to the singular polytropic filtration equation. …”
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FishermaskFormer: Lightweight Remote Sensing Scene Classification With Masked Transformer by Wei Wu, Xianbin Hu, Zhu Li, Xueliang Luo

“…To address the issue, we propose a novel RSSC algorithm, dubbed FishermaskFormer, which aggressively decimates features in the convolutional backbone via a novel masking operation with a proposed fisher discriminant analysis criterion, and then designs a lightweight transformer block to drive the classification loss. …”
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SMILE: Semi-supervised multi-view classification based on dynamical fusion. by Hui Yang, Linyan Kang, Xun Che

“…However, conventional semi-supervised multi-view classification methods often merely fuse features from multiple views without significantly improving classification performance. …”
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Mapping Left-Behind Regions: A Classification of Regional Disparities in Türkiye by Fatih Cüre

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Optimizing Data Classification in Support Vector Machines Using Metaheuristic Algorithms by Qonita Ilmi Awalin, Ika Hesti Agustin, Alfian Futuhul Hadi, Dafik Dafik, R. Sunder

“…This finding suggests that PSO-based hyperparameter optimization yields a superior model for data classification…”
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A text classification model for dynamic fusion of global and local features by ZHENG Wenjun, ZHANG Shunxiang

“…In response to this issue, a text classification model called global and local features dynamic fusion (GLFDF) is proposed. …”
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BSDA: Bayesian Random Semantic Data Augmentation for Medical Image Classification by Yaoyao Zhu, Xiuding Cai, Xueyao Wang, Xiaoqing Chen, Zhongliang Fu, Yu Yao

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Identification and classification of evaluation indicators for scientific and technical publications and related factors by Hassan Mahmoudi Topkanlo, Mehrdad CheshmehSohrabi

“…Given the importance of the issue of the widespread impact of scientific and technical publications in today's world, and the diversity and multiplicity of indicators for measuring these publications, it is a necessity to classify these indicators from different angles and through different tools and methods. …”
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