A Unified Deep-Domain Adaptation Framework: Advancing Feature Separability and Local Alignment by Pranav Kumar, Jimson Mathew, Rakesh Kumar Sanodiya, Avinash Kumar Chouhan, Rahul Reddy Bukkasamudram, Chandra Sai Teja Adhikarla

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A Hubness Information-Based k-Nearest Neighbor Approach for Multi-Label Learning by Zeyu Teng, Shanshan Tang, Min Huang, Xingwei Wang

“…Multi-label classification (MLC) plays a crucial role in various real-world scenarios. …”
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Hybrid Intersection Over Union Loss for a Robust Small Object Detection in Low-Light Conditions by Twahir Kiobya, Junfeng Zhou, Baraka Maiseli, Maqbool Khan

“…Also, it jointly works with the classification loss to offer a joint optimization that facilitates a network to learn features that are important for both localization and classification. …”
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Graph-based vision transformer with sparsity for training on small datasets from scratch by Peng Li, Lu Huang, Jin Li, Haiyan Yan, Dongjing Shan

“…To address this issue, we propose a Graph-based Vision Transformer (GvT) that utilizes graph convolutional projection and graph-pooling. …”
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The Bayesian mixture expert recognition model for tobacco leaf curing stages based on feature fusion by Panzhen Zhao, Shijiang Duan, Songfeng Wang, Aihua Wang, Lingfeng Meng, Zhicheng Wang, Yingpeng Dai

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The conflict initiation and resolution rules in constitutional and municipal law by Irina A. Tretyak

“…The author attempts to research the constitutional and municipal legal norms that may cause and resolve the constitutional conflicts, offers their classification on certain grounds, analyzes scientific researches on this topic. …”
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Fuzzy Decision Tree Based on Fuzzy Rough Sets and Z-Number Rules by Boya Zhu, Jingqian Wang, Xiaohong Zhang

“…However, information in the real world often has uncertainty and partial reliability, which poses challenges for classification tasks. To address this issue, this paper proposes a fuzzy decision tree based on fuzzy rough sets and Z-numbers, aimed at enhancing the decision tree’s ability to handle fuzzy and uncertain information. …”
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Enhancing kidney stone diagnosis with AI-driven radiographic imaging: a review by Nisha Vasudeva, Vijaypal Singh Dhaka, Deepak Sinwar

“…Kidney stone identification and classification are often addressed in the literature using multi-modal imaging data where different modalities capture different aspects of the disorder. …”
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Knee Osteoarthritis Diagnosis With Unimodal and Multi-Modal Neural Networks: Data From the Osteoarthritis Initiative by Xin Yu Teh, Pauline Shan Qing Yeoh, Tao Wang, Xiang Wu, Khairunnisa Hasikin, Khin Wee Lai

“…The image features and demographic embeddings are combined into a unified vector before classification. Extensive experiments were conducted to evaluate the performance of these models across different class categories and dataset sizes. …”
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Automatic crop type mapping based on crop-wise indicative features by Junru Yu, Longcai Zhao, Yanfu Liu, Qingrui Chang, Na Wang

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AI in dermatology: a comprehensive review into skin cancer detection by Kavita Behara, Ernest Bhero, John Terhile Agee

“…This technological advancement addresses a crucial public health issue by enhancing diagnostic accuracy, efficiency, and accessibility. …”
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Assessment of Soils along the Toposequence of Tsokundi River in Wukari LGA, Taraba State, Northeastern Nigeria by Adashu Tanko Gani, Jacob Usman

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A Classificacao Internacional de Doencas, a Familia de Classificacoes Internacionais, a CID-11 e a Sindrome Pos-Poliomielite by Ruy Laurenti, Heloisa Brunow Ventura Di Nubila, Abrahao Augusto Joviniano Quadros, Monica Tilli Reis Pessoa Conde, Acary Souza Bulle Oliveira

“…The first International Classification of Diseases (ICD) was approved in 1893 and since then it has been periodically reviewed. …”
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The idea of a welfare state in the aspect of state-legal monism and pluralism by S. V. Biryukov, A. E. Evstratov

“…The classifications of the welfare state carried out by G. …”
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A novel Probabilistic Bi-Level Teaching–Learning-Based Optimization (P-BTLBO) algorithm for hybrid feature extraction and multi-class brain tumor classification using ResNet-50 and... by Mahananda Malkauthekar, Avinash Gulve, Ratnadeep Deshmukh

“…Abstract The efficient and precise classification of brain tumors is important for early identification and appropriate action. …”
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The Concept of the Subtheory of Forensic Transport Examination by N. N. Ilyin

“…The author continues the series of scientific publications on the issues of forensic transport examination. Present article provides a refined classification, defines the subtheory of the forensic transport examinations, explains its content and basic concepts (subject, object, tasks) considering the modern outlook on the matter.…”
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MACHINE LEARNING AS A CORPORATION'S TOOL FOR SELECTION OF SUPPLIERS by V. V. Baklushinskii, E. V. Pustynnikova

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Machine Learning Techniques for Sensor-Based Human Activity Recognition with Data Heterogeneity—A Review by Xiaozhou Ye, Kouichi Sakurai, Nirmal-Kumar C. Nair, Kevin I-Kai Wang

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Time anomaly detection in the duration of civil trials in Italian justice by Antonio Esposito, Beniamino Di Martino, Rosario Ammendolia, Pietro Lupi, Massimo Orlando, Wei Liang

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ASLDetect: Arabic sign language detection using ResNet and U-Net like component by Naif Alasmari, Sultan Asiri

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