Detection of hydrophobicity grade of insulators based on AHC-YOLO algorithm by Shaotong Pei, Weiqi Wang, Peng Wu, Chenlong Hu, Haichao Sun, Keyu Li, Mianxiao Wu, Bo Lan

“…These achievements not only meet the needs for the detection and classification of composite insulator hydrophobicity but also further demonstrate the effectiveness and superiority of the algorithm through ablation and comparative experiments.…”
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Restricted Boltzmann machine with Sobel filter dense adversarial noise secured layer framework for flower species recognition by Shyamala Devi M, Sundaravadivazhagan Balasubaramanian, Balasubramaniam S, Mohd Asif Shah

“…An appropriate technique for classification that uses deep learning technology is vital to categorize flower species effectively. …”
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Channel-Dependent Multilayer EEG Time-Frequency Representations Combined with Transfer Learning-Based Deep CNN Framework for Few-Channel MI EEG Classification by Ziang Liu, Kang Fan, Qin Gu, Yaduan Ruan

“…Our approach enhances the classification accuracy of motor imagery EEG signals in few-channel scenarios. …”
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Reflection of nano-problems in the thesaurus on semiconductor physics by V. N. Beloozerov, N. N. Shaburova

“…Elements (descriptors) of the thesaurus are the names of the classes of different classification systems: international UDC and PACS, domestic BBK, SRSTI (GRNTI), VINITI Rubricator and specialized nanotechnological classifications. …”
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Nomogram Incorporating Inflammatory Index, Pathology, and Molecular Classification for Predicting Recurrence in Patients with Stage I-III Endometrial Cancer: A Multi-Institutional... by Xiao Y, Zheng Y, Tu Y, Tian C, Yu J, Lin H, Wen T, Jiang P, Wang Y

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Nomenclature savante et classement profane by Laurence Proteau

“…In the French public secondary schools, administrators (most often secretaries) are asked to enter the parents’ occupations, which are frequently loosely specified by the families, into an official nomenclature, the Classification of Occupations and Social Groups (PCS) issued by INSEE in 1982. …”
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Current concepts of chronic gastritis and gastropathies: new international consensus RE.GA.IN by S.M. Tkach, N.V. Kharchenko, A.E. Dorofieiev, Yu.Z. Hurkalo, L.M. Ryzhiy

“…The following topics were considered in the consensus: 1) definition and classification issues of gastritis; 2) spectrum of H.pylori gastritis; 3) key diagnosis of H.pylori gastritis; 4) H.pylori gastritis: clinical results; 5) autoimmune gastritis; 6) gastritis of low prevalence; 7) gastritis and gastric microbiota; 8) epidemiology of gastritis and associated precancerous and neoplastic lesions. …”
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Automatic Maize Leaf Disease Recognition Using Deep Learning by Muhammet Çakmak

“…Therefore, computer-aided diagnostic systems offer a promising solution for disease detection issues. While traditional machine learning methods require perfect manual feature extraction for image classification, deep learning networks extract image features autonomously and function without pre-processing. …”
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Persebaran Subjek Artikel-Artikel Jurnal Tik Ilmeu 2017-2022 by Faisal Syarifudin

“…Subjects were grouped according to the JITA Classification System of Library and Information Science. …”
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Optimizing machine learning for enhanced automated ECG analysis in cardiovascular healthcare by Keyi Tang, Shuyuan Ma, Xiaohui Sun, Dongfang Guo

“…The proposed approach demonstrates promising results in accurately categorizing heartbeats, offering a potential solution to the limitations of current classification methods. By optimizing classification models with metaheuristic algorithms, such as JADE, the study achieves significant performance improvements, highlighting the effectiveness of integrating advanced optimization techniques into ECG analysis processes. …”
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IMP‐DETR: Optimization model for defect detection of injection‐moulded products by Anzhan Liu, Lei Han

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Herb stratum diversity and community structure in Gurez valley of Kashmir Himalaya: application of multivariate techniques in community analyses by Ashaq Ahmad Dar, Narayanaswamy Parthasarathy

“…The study outlines a methodological workflow based on analytical methods and vegetation-plot data that describe vegetation groups and might be helpful in further in-depth vegetation classification syntheses and decision-making in conservation, global change issues, and management.…”
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Managing Corruption Risk in the Agricultural Sector of Kazakhstan and Its Assessment by G. Т. Siximbayeva, N. Juraj, M. M. Khalitova, Zh. G. Imangali

“…Within the framework of the agricultural specifics, the classification of corruption risks is given. The authors also investigate this risk category’s prerequisites, features, and types. …”
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Predicting Block Delays in Bitcoin Blockchain via Bayesian and Non-Bayesian Logistic Regression by Phumzile T. Mgcima, Wilson Tsakane Mongwe, Peter O. Olukanmi

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CentralMaizeGuard: Enhanced deep learning model for maize disease detection and management by Fathe Jeribi, Ali Tahir, Nadim Rana, Jayabrabu Ramakrishnan, R. John Martin

“…This paper addresses prevailing challenges in disease detection by introducing a customized CenterNet approach, incorporating DenseNet-65 as its foundational architecture. Common issues encountered in traditional disease detection models are addressed through our proposed approach, which demonstrates superior performance in both disease classification and precise localization of affected regions. …”
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Non-Destructive Detection of Chilled Mutton Freshness Using a Dual-Branch Hierarchical Spectral Feature-Aware Network by Jixiang E, Chengjun Zhai, Xinhua Jiang, Ziyang Xu, Muqiu Wudan, Danyang Li

“…By leveraging multi-head attention and cross-scale fusion, the model more effectively captures both the overall spectral variation trends and fine-grained feature details. Third, at the classification output stage, dynamic loss weighting is set according to training epochs and relative losses to balance classification performance, effectively mitigating the impact of insufficiently discriminative intermediate features. …”
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Optimizing Monkeypox Lesions Detection With a Lightweight Hybrid Model by Mehdhar S. A. M. Al-Gaashani, Reem Ibrahim Alkanhel, Dina S. M. Hassan, Abduljabbar S. Ba Mahel, Ahmed Aziz, Mashael M. Khayyat, Ammar Muthanna

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Taxation and Budget Reform Commission (TBRC) Constitutional Amendment 4: Property Tax Exemption of Perpetually Conserved Land; Classification and Assessment of Land Used for Conser... by Rodney L. Clouser

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Taxation and Budget Reform Commission (TBRC) Constitutional Amendment 4: Property Tax Exemption of Perpetually Conserved Land; Classification and Assessment of Land Used for Conser... by Rodney L. Clouser

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Development technology progress of heavy oil and establishment and application practice of new classification standard: A case study of development of heavy oil in Shengli Oilfield by SHU Qinglin,WEI Chaoping,YU Tiantian,JI Bingyu,ZHANG Zhongping,ZHENG Wangang

“…Based on the technical characteristics and field application effects, a new classification standard of heavy oil based on technical adaptability has been established. …”
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