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  1. 901

    Speech Recognition using Wavelets and Improved SVM by Emad Ahmed Hussien, Mohannad Abid Shehab Ahmed, Haithem Abd Al-Raheem Taha

    Published 2013-09-01
    “…The proposed SVM approach can convert local Euclidean distances between frame vectors to angles by projecting these -dimensional vectors together, and get the minimum global distance from the non-linear aligned speech path in order to address audio classification, and hence, sound recognition.The DWT for each frame of the spoken word are taken as a tool for extracting the main feature as a data code vectors, next these data is normalized utilizing the normalized power algorithm that is used to reduce the number of feature vector coefficients then these data is scaled and tested with those stored of the training spoken words to achieve the speaker identification tasks, also the DWT gives fixed amount of data that can be utilized modesty by SVM.Finally, the proposed method is tested and trained upon a very large data base with results limited to ten speakers only (5 males and 5 females) with words of maximally 17 phenomena and its performance gives an accurate and stable results which rises the algorithm efficiency and reduce the execution time with 97% overall  accuracy. …”
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  2. 902

    Does corrective exercises influence the performance, posture, range of motion and shoulder pain of swimmers with upper crossed syndrome? randomized clinical trial by Hossein Rezaei, Mahdi Gheitasi, Seyed Mohammad Hosseini

    Published 2025-07-01
    “…Trial registration Clinical trial code: IRCT20240306061185N1, registered at the Iranian Registry of Clinical Trials on 08/03/2024.…”
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  3. 903

    Application of Artificial Intelligence for the Implementation of Mismatch Negativity Potential Algorithms in Industrial Automated Predictive Maintenance Systems by Alexander Yu. Chesalov

    Published 2025-07-01
    “…The paper also presents the program code for the implementation of the basic MMN algorithm in Python language.Practical significance. …”
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  4. 904
  5. 905
  6. 906

    A User-Friendly Machine Learning Pipeline for Automated Leaf Segmentation in by Michelle Lynn Yung, Kamila Murawska-Wlodarczyk, Alicja Babst-Kostecka, Raina Margaret Maier, Nirav Merchant, Aikseng Ooi

    Published 2025-06-01
    “…In addition, we integrate QR codes for automated sample identification and benchmark multiple QR code decoding libraries, evaluating their robustness under real-world imaging conditions like distortion and lighting variation. …”
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  7. 907

    Assessing ChatGPT-4’s ability to generate forensic reports: a study of artificial intelligence in forensics by Halit Canberk Aydogan, Büşra Yıkar, Hüseyin Balandız, Sait Özsoy

    Published 2025-05-01
    “…The Turkish Penal Code-related forensic medicine guide and 20 case examples were used to train Chat Generative Pre-Trained Transformer-4 in this study. …”
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  8. 908

    Barriers and facilitators to implementation of non-medical independent prescribing in primary care in the UK: a qualitative systematic review by Nicola Carey, Judith Edwards, Melaine Coward

    Published 2022-06-01
    “…Study data were extracted to a bespoke table and two reviewers used NVivo software to code study findings. An inductive thematic synthesis was undertaken to identify descriptive themes and interpret these into higher order analytical themes. …”
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  9. 909

    Circular rubber aggregate CFST stub columns under axial compression: prediction and reliability analysis by Khaled Megahed, Nabil Said Mahmoud, Saad Elden Mostafa Abd-Rabou

    Published 2024-10-01
    “…However, current design codes for assessing the axial compressive behaviour of circular stub RCFST (CS-RCFST) columns are limited. …”
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  10. 910

    Neural architecture codesign for fast physics applications by Jason Weitz, Dmitri Demler, Luke McDermott, Nhan Tran, Javier Duarte

    Published 2025-01-01
    “…We exceed performance on various tasks and show further speedup through model compression techniques such as quantization-aware-training and neural network pruning. We synthesize the optimal models to high level synthesis code for FPGA deployment with the hls4ml library. …”
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  11. 911

    Recording of intellectual disability in general hospitals in England 2006-2019: Cohort study using linked datasets. by Rory Sheehan, Hassan Mansour, Matthew Broadbent, Angela Hassiotis, Christoph Mueller, Robert Stewart, Andre Strydom, Andrew Sommerlad

    Published 2023-03-01
    “…Broadening the criteria to include a nonspecific code of learning difficulty increased recording to 27.7% (95% CI 27.2% to 28.3%) of all admissions. …”
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  12. 912

    Verification of intimate and non-intimate recovery of DNA within Sexual Assault Referral Centres (SARCs) by Michelle Gaskell, June Guiness, Amy Hamm, Guylaine O. Hanford, Abi Marshall, Kevin Sullivan

    Published 2025-12-01
    “…Root cause analysis of the data led to the development of a new approach for training and known outcome competence assessment in intimate DNA recovery using gynaecological models seeded with invisible UV dyes to detect unintended transfer events. …”
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  13. 913

    Neurovision: A deep learning driven web application for brain tumour detection using weight-aware decision approach by Thota Rishik Sai Santhosh, Sachi Nandan Mohanty, Nihar Ranjan Pradhan, Tauseef Khan, Morched Derbali

    Published 2025-05-01
    “…At first, the deep learning models are trained and fine-tuned on the training dataset, obtained validation scores of trained models are considered as model-wise weights. …”
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  14. 914

    Effectiveness of a competency-based coordinator of advance care planning competency enhancement program: a mixed method by Minjeong Seo, Jaehan Ryu, Jinryung Park

    Published 2025-04-01
    “…CESS providers should be trained to understand patients’ difficulties with existential issues and advocate on their behalf. …”
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  15. 915

    Automated Machine Learning for Referable Diabetic Retinopathy Image Classification from Ultrawide Field Images by Leandro Victor L. Arcena, MD-MBA, Paolo S. Silva, MD

    Published 2024-12-01
    “…The dataset was split with 80% for training, 10% for validation, and 10% for testing. …”
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  16. 916

    DeepMethyGene: a deep-learning model to predict gene expression using DNA methylations by Yuyao Yan, Xinyi Chai, Jiajun Liu, Sijia Wang, Wenran Li, Tao Huang

    Published 2025-04-01
    “…By exploring the complex relationship between methylation and gene expression, this study provides theoretical support for disease progression prediction and clinical intervention. Relevant data and code are available at https://github.com/yaoyao-11/DeepMethyGene .…”
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  17. 917

    A novel deep high-level concept-mining jointing hashing model for unsupervised cross-modal retrieval by Chun-Ru Dong, Jun-Yan Zhang, Feng Zhang, Qiang Hua, Dachuan Xu

    Published 2025-06-01
    “…Experimental findings reveal that DHCJH achieves superior performance in both accuracy and efficiency. The code of DHCJH is available at Github.…”
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  18. 918

    Tobacco Use Surveillance among School Personnel of Madhyamik Vidyalays of Pimpri-Chinchwad, Pune, Maharashtra, India: A Serial Cross-sectional Study by Sahana Hegde Shetiya, S. L. Jadhav, Rakesh Gupta

    Published 2025-04-01
    “…As part of the questionnaire development, face and content validity were carried out by subject matter experts, followed by translation, test–retest reliability, setting up a code book, and pre and pilot testing. Chi-square test was applied to determine the strength of association between the pre- and postsurvey data. …”
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  19. 919

    Two-stage ship detection at long distances based on deep learning and slicing technique. by Yanfeng Gong, Zihao Chen, Jiawan Tan, Chaozhong Yin, Wen Deng

    Published 2024-01-01
    “…The code is available at https://github.com/gongyanfeng/PaperCode.…”
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  20. 920

    Heterogeneity of diagnosis and documentation of post-COVID conditions in primary care: A machine learning analysis. by Nathaniel Hendrix, Rishi V Parikh, Madeline Taskier, Grace Walter, Ilia Rochlin, Sharon Saydah, Emilia H Koumans, Oscar Rincón-Guevara, David H Rehkopf, Robert L Phillips

    Published 2025-01-01
    “…We explored these data using 4 different outcomes: 1) Time between COVID-19 and PCC diagnostic codes; 2) Count of patients with PCC diagnostic codes per clinician; 3) Patient-specific probability of PCC diagnostic code based on patient and clinician characteristics; and 4) Performance of a natural language classifier trained on notes from 5,000 patients annotated by two physicians to indicate probable PCC.…”
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