Assessment of flood vulnerability in a coastal metropolitan city for sustainable environmental using machine learning methods by Rana Alabdan, C. Sharmila, Nuha Alruwais, Haya Mesfer Alshahrani, S. Anbukkarasi, M. Sujatha, S. Vivek

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Measuring mortality due to HIV-associated tuberculosis among adults in South Africa: Comparing verbal autopsy, minimally-invasive autopsy, and research data. by Aaron S Karat, Mpho Tlali, Katherine L Fielding, Salome Charalambous, Violet N Chihota, Gavin J Churchyard, Yasmeen Hanifa, Suzanne Johnson, Kerrigan McCarthy, Neil A Martinson, Tanvier Omar, Kathleen Kahn, Daniel Chandramohan, Alison D Grant

“…<h4>Methods and findings</h4>Decedents were enrolled into a trial of empirical TB treatment or a cohort exploring diagnostic algorithms for TB in South Africa. The WHO 2012 instrument was used; VA CoD were assigned using physician-certified VA (PCVA), InterVA-4, and SmartVA-Analyze. …”
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What is the role of artificial intelligence in general surgery? by Seung Min Baik, Ryung-Ah Lee

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Revolution in flow cytometry: using artificial intelligence for data processing and interpretation by Szymon Bierzanowski, Szymon Bierzanowski, Krzysztof Pietruczuk

“…The integration of advanced AI algorithms with FC methods contributes to a better understanding and interpretation of biological data, opening up new opportunities in research and clinical diagnostics. …”
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ESTIMATION OF SOFTWARE COMPLEXITY OF CALCULATION OF AUTOREGRESSION COEFFICIENTS AT DIGITAL SPECTRAL ANALYSIS by Andrey Zuev, Andrey Ivashko, Denis Lunin

“… The subject of research in the article are algorithms for fast calculation of autoregression coefficients in digital spectral analysis and estimation of the number of arithmetic operations required for their implementation. …”
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Bone scintigraphy based on deep learning model and modified growth optimizer by Omnia Magdy, Mohamed Abd Elaziz, Abdelghani Dahou, Ahmed A. Ewees, Ahmed Elgarayhi, Mohammed Sallah

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Predictive analytics of complex healthcare systems using deep learning based disease diagnosis model by Muhammad Kashif Saeed, Alanoud Al Mazroa, Bandar M. Alghamdi, Fouad Shoie Alallah, Abdulrhman Alshareef, Ahmed Mahmud

“…Thus, the recognition and classification of LCC are among the cutting-edge research regions, particularly in the biological healthcare and medical fields. …”
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The study of thermodynamic mechanisms of advection-cooled sea fogs for two cases based on the WRF model by Xin-Ya Ye, Fei-Fei Shen, Fei-Fei Shen, Fei-Fei Shen, Hai-Yan Fei, Qi-Long Sun, Ai-Qing Shu, Shen Wan, He Chen

“…A combination of synoptic background analysis, mesoscale structural examination, and thermodynamic field diagnostics was used to identify the mechanisms of fog formation. …”
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Application of stochastic methods, wavelet transformations and support vectors for the study of electroencephalogram signals by Veronika V. Tolmanova, Denis A. Andrikov

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Realizing the promise of machine learning in precision oncology: expert perspectives on opportunities and challenges by Vasileios Nittas, Kelly E. Ormond, Effy Vayena, Alessandro Blasimme

“…ML will continue to advance cancer research and provide opportunities for patient-centric, personalized, and efficient precision oncology. …”
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AI-powered advances in type II endometrial cancer: global trends and African contexts by Thulo Molefi, Thulo Molefi, Thulo Molefi, Lloyd Mabonga, Rodney Hull, Motshedisi Sebitloane, Zodwa Dlamini

“…In Future, with continued research and the development of robust frameworks and transparent algorithms, investment and collaboration, the potential of AI in Type II EC will be realized.…”
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Fault classification of meta-action unit using CEEMDAN double-layer decomposition and COA-SVM by Anxiang Guo, Zhan Zhao, Jiarui Sun, Hongyu Ge

“…First, using the worm rotation element action unit as the research object, the Complementary Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) algorithm and envelope entropy analysis were combined to decompose the vibration signal in a double-layer manner, and the IMF component was reconstructed according to the Pearson correlation coefficient. …”
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Artificial Intelligence for Drug Discovery Accelerating the Development of New Pharmaceuticals by Basri T. Syeda Jeelani, Kulkarni Adokshaja Krishnarao, K Renuka, B Yamini Supriya, R V Kavya, A Buckshumiyan

“…These challenges can be addressed through large-scale real-world validations, fairness-aware algorithms and privacy-preserving techniques building a next-gen AI framework enabling our research. …”
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Development of an on-board system for diagnosing the technical condition of the tread surface of the wheels of wagons by I. A. Gadzhiev

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AI powered detection and assessment of onychomycosis: A spotlight on yellow and deep learning by C. Agostini, R. Ranjan, M. Molnarova, A. Hadzic, O. Kubesch, V. Schnidar, H. Schnidar

“…Our applied superpixel method furthermore improved the algorithm's precision in identifying the infected regions. …”
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Epidermolysis Bullosa Acquisita in Children: Case Series by Nikolay N. Murashkin, Leonid A. Opryatin, Alexander I. Materikin, Eduard T. Ambarchyan, Roman V. Epishev, Maria A. Nefedova

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探討強化學習演算法之素材推薦機制與AI學習履歷之學習者感知 Learner Perceptions of AI-Powered Learning Portfolios and Personalized Material Recommendation Mechanisms in Reinforcement Learning Algorithms... by 曾建維 Jian-Wei Tzeng, 黃天麒 Tien-Chi Huang, 薛承祐 Cheng-Yu Hsueh, 廖英淞 Ying-Song Liao

“…A quasiexperimental research design was employed. Participants were recruited from a calculus course taught at a university in northern Taiwan. …”
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Development of a Model of Segmentation of the Capillaries of the Ocular Surface Based on Images from an Ophthalmological Slit Lamp Using Artificial Intelligence Tools by V. V. Neroev, A. A. Bragin, O. V. Zaytseva, E. V. Yani

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The role of magnetic resonance imaging in radiation Diagnosis of abdominal aortic aneurysm by S. S. Saidov, S. K. Skul'skiy, N. P. Morozova, Ya. A. Lubashev, V. A. Ratnikov

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Detection of Mycobacterium tuberculosis in sputum in patients coinfected with HIV / tuberculosis by various methods (literature review) by I. B. Viktorova, S. Yu. Degtyareva, E. I. Kulabukhova, E. N. Beloborodova, V. N. Zimina

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