Structural Classification Methodology and Assignment of General Shop Costs for the Industrial Company’s Production Cost by I. E. Mizikovskii

“…Structural classification is one of the most urgent problems of accounting and calculation activities. …”
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Classification framework to identify similar visual scan paths using multiple similarity metrics by Ricardo Palma Fraga, Ziho Kang, Jerry Crutchfield

“…We applied our framework to the visual scan paths of nine tower controllers in a high-fidelity simulator when a “clear-to-take-off” clearance was issued. The classification framework was able to provide richer and more meaningful classifications of the visual scan paths compared to the results when using either the string edit algorithm or Jaccard coefficient similarity. …”
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Classification, Functions, Development and Outlook of Photoanode Block Layer for Dye-Sensitized Solar Cells by Youqing Wang, Wenxuan Wu, Peiling Ren

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Brain Tumor Classification Using FCM, DenseNet, and SVM with Transfer Learning Techniques by Rai Vivek, Tiwari Nirupma

“…Brain tumor classification is a critical task in medical imaging, aimed at distinguishing between different tumor types for timely diagnosis and treatment planning. …”
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Neural Architecture Search for Hyperspectral Image Classification: A Comprehensive Review and Future Perspectives by Aili Wang, Xinyu Liu, Kang Zhang, Haoran Lv, Haibin Wu, Xing Chen, Manman Yao

“…Although deep learning significantly improves classification performance through automatic feature extraction, manually designed network architectures suffer from issues such as dependence on expert experience and lack of flexibility. …”
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Optimized machine learning based comparative analysis of predictive models for classification of kidney tumors by Vatsala Anand, Ajay Khajuria, Rupendra Kumar Pachauri, Vinay Gupta

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Automatic Mushroom Species Classification Model for Foodborne Disease Prevention Based on Vision Transformer by Boyuan Wang

“…We propose a novel deep learning pipeline (ViT-Mushroom) for mushroom classification using the Vision Transformer large network (ViT-L/32). …”
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An improved deep CNN-based freshwater fish classification with cascaded bio-inspired networks by Asadullah Shaikh, Wahidur Rahman, Kaniz Roksana, Tarequl Islam, Mohammad Motiur Rahman, Hani Alshahrani, Adel Sulaiman, Mana Saleh Al Reshan

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Efficient Attention Transformer Network With Self-Similarity Feature Enhancement for Hyperspectral Image Classification by Yuyang Wang, Zhenqiu Shu, Zhengtao Yu

“…Moreover, self-attention operations in transformer-based HSIC methods may introduce irrelevant spectral–spatial information, and thus may consequently impact the classification performance. To mitigate these issues, in this article, we introduce an efficient deep network, named efficient attention transformer network (EATN), for practice HSIC tasks. …”
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The Effects of the COVID-19 Pandemic on Abnormal Uterine Bleeding According to the PALM-COEIN Classification by Onur Bektas, Kivilcim Bektas, Sirin Aydin, Gulsen Dogan Durdag, Husnu Celik

“… OBJECTIVE: To investigate the impact of the COVID-19 pandemic on abnormal uterine bleeding (AUB) according to the PALM-COEIN classification. STUDY DESIGN: Patients who underwent surgical intervention due to AUB were categorized according to the PALM-COEIN classification, and the pandemic period was compared with the pre-pandemic period. …”
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Classification of Thyroid Class using ID3 Algorithm and Artificial Neural Network (ANN) by Nabila Henisaniyya, Citra Pertiwi, Anita Desiani, Ali Amran, Muhammad Arhami

“…One commonly applied method for early detection involves classification using a data mining approach. Among the algorithms frequently used for classification are the ID3 algorithm and Artificial Neural Networks (ANN). …”
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MFN: Multi-Scale Frequency Feature Fusion Network for Multi-Classification Image Segmentation by Ji Xiao, Li Jianfang, Zhao Peng, Li Xiaochen, Zhang Chengchun, Zheng Junyi, Pang Yonghui, Huang Xiangsheng

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Synergistic feature selection and distributed classification framework for high-dimensional medical data analysis by D. Dhinakaran, L. Srinivasan, S. Edwin Raja, K. Valarmathi, M. Gomathy Nayagam

“…Since the medical datasets are large and complex, they give rise to certain problematic issues such as computational complexity, limited memory space, and a lesser number of correct classifications. …”
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An Iterative Pixel-Based Dimensional Voting Model for High Spatial-Resolution Image Classification by Muhamad Asyraf Mohd Pouzi, Haza Nuzly Abdull Hamed, Muhammad Razib Othman, Hishammuddin Asmuni, Mohd Adham Isa, Husni Ruslai

“…To address these issues, this paper proposes an Iterative Pixel-Based Dimensional Voting model (Pixel-DMV), which enhances classification accuracy by iteratively analyzing pixel similarities within 3 x 3 neighborhood pixels. …”
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GMTBLC: a deep learning-based bi-modal network traffic classification method by WEI Debin, JIANG Qinlong, WEN Jinglong, WANG Xinrui

“…To address the issues of traditional traffic classification models, such as insufficient feature extraction and low classification accuracy, a dual-modal network traffic classification method based on group mix attention (GMA) with a transformer and a bi-directional long short-term memory (Bi-LSTM) network, named group mix transformer and Bi-LSTM for traffic classification (GMTBLC), was proposed. …”
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Stanislav Voronin’s Universal Classification of Onomatopoeic Words: a Critical Approach (Part 1) by M. A. Flaksman

“…Introduction. The universal classification of onomatopoeic words was first introduced in 1969 by Stanislav V. …”
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A dual-branch model combining convolution and vision transformer for crop disease classification. by Qingduan Meng, Jiadong Guo, Hui Zhang, Yaoqi Zhou, Xiaoling Zhang

“…To address these issues, this paper proposes a dual-branch model for crop disease classification, which combines Convolutional Neural Network (CNN) with Vision Transformer (ViT). …”
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Cervical fibroids: the vaginal intracapsular myomectomy with classification by the fibroids’ origin, growth directions, and localizations by Andrea Tinelli, Ospan Mynbaev, Gaetano Panese, Martina Licchelli, Giovanni Pecorella, Antonio Malvasi, Ioannis Kosmas, Michael Stark, Wenming Cao

“…They also provide a comprehensive classification of CFs along with the CFs’ clinical manifestations based on the type of growth direction, locations, and fibroid maturity. …”
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Hotspots Identification and Classification of Dockless Bicycle Sharing Service under Electric Fence Circumstances by Ying Hui, Yingkun Xie, Qing Yu, Xiaolei Liu, Xinyuan Wang

“…In this paper, a novel methodology of bicycle hotspots identification and classification is proposed to support parking management. …”
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Breast Cancer Classification With Enhanced Interpretability: DALAResNet50 and DT Grad-CAM by Suxing Liu, Galib Muhammad Shahriar Himel, Jiahao Wang

“…Automatic classification of breast cancer in histopathology images is crucial for accurate diagnosis and effective treatment planning. …”
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