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    Feature selection using a multi-strategy improved parrot optimization algorithm in software defect prediction by Qi Fei, Guisheng Yin, Zhian Sun

    Published 2025-04-01
    “…Software defect detection is a critical research topic in the field of software engineering, aiming to identify potential defects during the development process to improve software quality and reduce maintenance costs. …”
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    Article
  3. 803

    A survey on the applications of transfer learning to enhance the performance of large language models in healthcare systems by Anmol Rahujo, Daniya Atif, Syed Azeem Inam, Abdullah Ayub Khan, Sajid Ullah

    Published 2025-06-01
    “…This research analyzes different transfer learning methods, including inductive, transductive, and unsupervised techniques, while demonstrating their effectiveness in detecting COVID-19 from chest X-rays and multi-source disease evaluation. …”
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  4. 804

    Generation of Cas9 Knock-In <i>Culex quinquefasciatus</i> Mosquito Cells by Elizabeth Walsh, Tran Zen B. Torres, Brian C. Prince, Claudia Rückert

    Published 2025-01-01
    “…In comparison to the RNAi-mediated gene silencing of <i>dicer-2</i>, <i>argonaute-2b</i>, and <i>piwi5</i>, our Cas9/sgRNA approach showed an enhanced ability to detect antiviral effects. <b>Conclusions</b>: We propose that this cell line offers a new tool for studying gene function in <i>Cx. quinquefasciatus</i> mosquitoes that avoids the use of RNAi. …”
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    A novel deep learning technique for multi classify Alzheimer disease: hyperparameter optimization technique by A. S. Elmotelb, Fayroz F. Sherif, A. S. Abohamama, A. S. Abohamama, Mahmoud Fakhr, Amr M. Abdelatif

    Published 2025-04-01
    “…A progressive brain disease that affects memory and cognitive function is Alzheimer’s disease (AD). To put therapies in place that potentially slow the progression of AD, early diagnosis and detection are essential. …”
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    CLASSIFYING LIVER DISEASE WITH BOOSTING MACHINE LEARNING APPROACHES by Erol Özçekiç, Ümit Yılmaz

    Published 2025-08-01
    “…Liver diseases pose a significant global health challenge due to their impact on metabolic function and the difficulty of early detection. Traditional diagnostic methods such as liver biopsy have limitations due to their invasive nature and high costs. …”
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  12. 812

    Evaluating LiDAR‐Derived Structural Metrics for Predicting Bee Assemblages in Managed Forests by Marissa H. Chase, Alexandra Harmon‐Threatt, Samuel F. Stickley, Brian Charles, Jennifer M. Fraterrigo

    Published 2025-04-01
    “…We investigated whether structural metrics derived from light detection and ranging (LiDAR) data could predict bee diversity and abundance, as well as bee functional trait composition within managed and unmanaged forests in the central hardwood region in southern Illinois, United States of America. …”
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  13. 813

    Identification and odor exposure regulation of odorant-binding proteins in Picromerus lewisi by Shan-Cheng Yi, Jia-Ling Yu, Sara Taha Abdelkhalek, Sara Taha Abdelkhalek, Zhi-Rong Sun, Man-Qun Wang

    Published 2024-12-01
    “…This implies that these PlewOBPs may have an olfactory function in detecting S. litura-infested tobacco plants. …”
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    Multimodal AI and Large Language Models for Orthopantomography Radiology Report Generation and Q&A by Chirath Dasanayaka, Kanishka Dandeniya, Maheshi B. Dissanayake, Chandira Gunasena, Ruwan Jayasinghe

    Published 2025-03-01
    “…In addition, the proposed solution includes a question-answering platform in the native Sinhala language, alongside the English language, designed to function as a chatbot for dental-related queries. We hope that this platform will eventually bridge the gap between dental services and patients, created due to a lack of human resources. …”
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    Research on lightweight weed recognition algorithm based on improved YOLOv8 by Zhang Chao, Liu Bin, Li Kun

    Published 2025-01-01
    “…Different scale features are used to improve the performance of target detection. Finally, the MPDIoU loss function is replaced to enhance the convergence and stability of the model. …”
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