Prediction of Anoxic Tonic Seizures due to Asthma in Children Using Machine Learning Methods by Kiomars Motarjem, Meisam Moghimbeygi

Subjects: “…with children living in certain areas of tehran experiencing shorter intervals between attacks due to high air pollution. machine learning techniques proved useful in predicting atsa based on age…”
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RNAO’s Artificial Intelligence Innovations: A Novel Strategy to Advance Evidence-Based Nursing Practice by Naik, Shanoja, Grinspun, Doris

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Historical Documents and Automatic Text Recognition: Introduction by Ariane Pinche, Peter Stokes

Subjects: “…[info.info-lg]computer science [cs]/machine learning [cs.lg]…”
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A HYBRID APPROACH FOR MALARIA CLASSIFICATION USING CNN-BASED FEATURE EXTRACTION AND TRADITIONAL MACHINE LEARNING CLASSIFIERS by omar Mohammed Alzakholi, Walat A. Ahmed, Bafreen N. Mohammed, Asaad Kh. Ibrahim

Subjects: “…Web vulnerabilities, feature extraction, feature selection, data mining, supervised machine learning, phishing websites, cyber security, and phishing identification…”
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ENHANCING STATE POLICY EFFECTIVENESS IN CINEMA THROUGH MACHINE LEARNING / Повышение эффективности государственной политики в сфере кинематографа с помощью машинного обучения... by DOZHDIKOV ANTON V. / ДОЖДИКОВ А.В.

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Cyber-Physical Systems in Smart Grids Enhancing Energy Management and Distribution Efficiency by Ponnusamy Sivakumar, Gurugubelli Vanitha, G V Rambabu, Sheeba Adlin, Tiwari Mohit, T Saravanan

Subjects: “…a1: cyber-physical systems for smart grids: ensuring demand and supply line efficiency through real-time systems and optimization algorithms using machine learning to achieve scalable remedial actions…”
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Estimation of Above-Ground Biomass for <italic>Dendrocalamus Giganteus</italic> Utilizing Spaceborne LiDAR GEDI Data by Huanfen Yang, Zhen Qin, Qingtai Shu, Li Xu, Jinge Yu, Shaolong Luo, Zaikun Wu, Cuifen Xia, Zhengdao Yang

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Possibilities of using artificial intelligence technologies in the morphological diagnosis of inflammatory bowel diseases (literature review) by E. G. Churilova, A. B. Kazumova, Kh. M. Akhrieva, N. V. Pachuasvili, A. S. Tertychnyy

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Prediction of Soil Organic Carbon Content in <italic>Spartina alterniflora</italic> by Using UAV Multispectral and LiDAR Data by Jiannan He, Yongbin Zhang, Mingyue Liu, Lin Chen, Weidong Man, Hua Fang, Xiang Li, Xuan Yin, Jianping Liang, Wenke Bai, Fuping Li

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Optimization of the prognosis of postoperative complications in patients with breast cancer by L. A. Trusova

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