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  1. 2461

    Deep Learning dengan Teknik Early Stopping untuk Mendeteksi Malware pada Perangkat IoT by Iwang Moeslem Andika Surya, Triawan Adi Cahyanto, Lutfi Ali Muharom

    Published 2025-02-01
    “…Although CNN was initially designed for image processing, this algorithm also effectively detects complex patterns in non-image data, such as IoT network traffic, due to its ability to extract hierarchical features. …”
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  2. 2462
  3. 2463

    AI-HOPE-TGFbeta: A Conversational AI Agent for Integrative Clinical and Genomic Analysis of TGF-β Pathway Alterations in Colorectal Cancer to Advance Precision Medicine by Ei-Wen Yang, Brigette Waldrup, Enrique Velazquez-Villarreal

    Published 2025-06-01
    “…However, integrative analyses linking TGF-β alterations to clinical features remain limited—particularly for diverse populations—hindering translational research and the development of precision therapies. …”
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    Article
  4. 2464

    Clinicopathological and molecular characterization of astroblastoma by Xiaoyan Wu, Wenfeng Peng, Xu Zhang, Tao Tang, Ling Deng, Yuxia Xu, Xiaoyun Liu, Fang Wang, Wujian Peng, Jianrong Huang, Xiaoni Zhong

    Published 2025-02-01
    “…These tumors showed a growth pattern similar to traditional intracranial astroblastoma, and the histological manifestations of the four patients were all high-grade, showing features of high-density areas of tumor cells or necrosis. …”
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  5. 2465

    THE IMPACT OF THE AZERBAIJANI LANGUAGE VOCALISM ON BAKU RESIDENTS RUSSIAN PRONUNCIATION: THE BILINGUAL ASPECT by Sanay H. Huseynli

    Published 2022-12-01
    “…The influence is especially noticeable in the patterns of “macaronic” speech. The features of the pronunciation of some vowels in the Russian speech of Baku residents should be characterized taking into account the sociolinguistic features of the speakers. …”
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    Article
  6. 2466

    Prevention and Control of Hydrogen Sulphide Accidents in Mining Extremely Thick Coal Seam: A Case Study in Wudong Coal Mine by Xuchao Huang, Enmao Wang, Gang Wang, Jiuyuan Fan

    Published 2021-01-01
    “…In this study, we theoretically modelled hydrogen sulphide generation in extremely thick underground coal mines with the +575 level #45 coal seam of Wudong Coal Mine as an example and obtained the on-site hydrogen sulphide emission pattern and spatial distribution features by combining field measurements and computational fluid dynamics simulation. …”
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  7. 2467

    Somatic pathology in residents of Khanty-Mansi Autonomous Okrug – Yugra by L. N. Verizhnikova, O. L. Aryamkina, N. N. Terentyeva

    Published 2020-07-01
    “…The obtained data make it possible to identify priority research areas aimed at analyzing the frequency of diseases of internal organs in the territories equated to the Far North, the features of their course and outcomes as well as to develop effective programs of primary and secondary prevention of these diseases.…”
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  8. 2468

    Pedagogical Evaluation and Recommendations on Software Design for English Intonation Learning by Nawel Bengrait

    Published 2021-02-01
    “…Other speech tools as Speech Analyzer, Praat, and RTPitch provide automatic audio-visual assessment of intonational patterns and measurement of pitch and intensity values. …”
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  9. 2469

    Intelligent Algorithm Deep Learning Reinforcement Learning Module Integrated into the Navigation System to Enhance the Ability of Navigation to Accurately Serve Users by Li Jinhao

    Published 2025-01-01
    “…Subsequently, machine - learning algorithms are utilized to analyze user behavior data, identifying personalized demand patterns. Based on these analysis results, an intelligent navigation system prototype is designed and developed, featuring real - time road condition optimization, personalized route recommendation, and voice interaction functions. …”
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  10. 2470

    Predicting the academic achievement of students using black hole optimization and Gaussian process regression by Yanyu Chen, Xiaolin Yao

    Published 2025-03-01
    “…The proposed method can assist teachers in analyzing student behavioral patterns, understanding academic performance impact mechanisms, and developing effective learning supervision plans.…”
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    Article
  11. 2471

    Implementation of Deep Learning with Multilayer Perceptron (MLP) for Heart Disease Prediction Using the SMOTE-ENN Technique by Erliyan Redy Susanto, Erik Saputra

    Published 2025-06-01
    “…After applying SMOTE-ENN, the class distribution became more balanced, allowing the model to learn patterns more effectively. The MLP model was designed with two hidden layers comprising 64 and 32 neurons, respectively, using the ReLU activation function in the hidden layers and a sigmoid function in the output layer. …”
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  12. 2472

    “VTMine for Visio”: Graphical Tool for Modeling in Process Mining by Sergey A. Shershakov

    Published 2020-06-01
    “…For example, there can be found information about the discrepancy between the real and the prescribed behavior of the system; to identify bottlenecks and performance issues; to detect anti-patterns of building a business system. These problems are studied by the discipline called “Process Mining”.The practical application of the process mining methods and practices is carried out using the specialized software for data analysts. …”
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  13. 2473

    Electoral Behavior of Moscow Humanities University Students between Elections by Albina I. Kagarmanova

    Published 2025-03-01
    “…The research objective was to detect electoral behavior patterns in students of the RANEPA Moscow campus and the Moscow Pedagogical State University. …”
    Article
  14. 2474

    Efficient numerosity estimation under limited time. by Joseph A Heng, Michael Woodford, Rafael Polania

    Published 2025-03-01
    “…The mechanism we propose is the likely origin of a variety of numerical cognition patterns observed in humans and other animals.…”
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  15. 2475

    Enhancing Defect Classification in Solar Panels With Electroluminescence Imaging and Advanced Machine Learning Strategies by Fatih Demir

    Published 2025-01-01
    “…A strong CNN model created from scratch is used to extract deep features. Utilizing the recently developed RSWS classification method, the deep characteristics are evaluated. …”
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  16. 2476

    THE APPLICATION OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN MEDICAL DIAGNOSTICS by Gulchin Abdullayeva, Ulkar Alizada

    Published 2025-07-01
    “…However, the characteristic features of each image indicate that it follows certain regular patterns. …”
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  17. 2477

    Providing a model of purchase intention and customer experience on customer behavior in virtual networks by Kazem Tolooee, Hossein budaghi Khajeh Noubar, Hossein Gharehbiglo, Mojtaba Ramazani

    Published 2024-11-01
    “…The collection tool in this research includes a questionnaire of purchase intention pattern based on customers' experience in designed virtual networks. …”
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  18. 2478

    Objective Assessment of Cancer Biomarkers Using Semi-Rare Event Detection by Jeroen A. W. M. van der Laak, Albertus G. Siebers, Sabine A. A. P. Aalders, Johanna M. M. Grefte, Peter C. M. de Wilde, Johan Bulten

    Published 2007-01-01
    “…A gallery image is constructed showing the diagnostically most interesting cells as well as quantitative data expressing the biomarker staining pattern. To increase scanning speed, an adaptive scanning strategy is studied in which scanning is aborted when a sufficient number of positive cells has been identified. …”
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  19. 2479

    Reading Tabriz Municipality Building Based on Foucault’s Theory of Power by Noushin Ghorbani, Sahar Toufan, Habib Shah Hosseini, Nima Vali Zadeh, Hassan Sattari Sarbangholi

    Published 2023-06-01
    “…The results pointed to a pattern that can be used in the design of public buildings by city managers.…”
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  20. 2480

    A nomogram involving immune‐inflammation index for predicting distant metastasis‐free survival of major salivary gland carcinoma following postoperative radiotherapy by Wenbin Yan, Xiaomin Ou, Chunying Shen, Chaosu Hu

    Published 2023-02-01
    “…Abstract Background Postoperative radiotherapy (PORT) is beneficial in the improvement of local‐regional control and overall survival (OS) for major salivary gland carcinomas (SGCs), and distant metastasis remained the main failure pattern. This study was designed to develop a nomogram model involving immune‐inflammation index to predict distant metastasis‐free survival (DMFS) of major SGCs. …”
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