Works matching IS 18953735 AND DT 2024 AND VI 20 AND IP 2
Results: 12
AUTOMATION OF POLYCYSTIC OVARY SYNDROME DIAGNOSTICS THROUGH MACHINE LEARNING ALGORITHMS IN ULTRASOUND IMAGING.
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- Applied Computer Science (1895-3735), 2024, v. 20, n. 2, p. 194, doi. 10.35784/acs-2024-24
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- Article
PREDICTION OF PATIENT'S WILLINGNESS FOR TREATMENT OF MENTAL ILLNESS USING MACHINE LEARNING APPROACHES.
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- Applied Computer Science (1895-3735), 2024, v. 20, n. 2, p. 175, doi. 10.35784/acs-2024-23
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- Article
AUTHENTICATION METHOD BASED ON THE DIOPHANTINE MODEL OF THE COIN BAG PROBLEM.
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- Applied Computer Science (1895-3735), 2024, v. 20, n. 2, p. 157, doi. 10.35784/acs-2024-22
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- Article
EXPLORING THE IMPACT OF ARTIFICIAL INTELLIGENCE ON HUMANROBOT COOPERATION IN THE CONTEXT OF INDUSTRY 4.0.
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- Applied Computer Science (1895-3735), 2024, v. 20, n. 2, p. 138, doi. 10.35784/acs-2024-21
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- Article
IMPROVING E-LEARNING BY FACIAL EXPRESSION ANALYSIS.
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- Applied Computer Science (1895-3735), 2024, v. 20, n. 2, p. 126, doi. 10.35784/acs-2024-20
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- Article
PREDICTING STATES OF EPILEPSY PATIENTS USING DEEP LEARNING MODELS.
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- Applied Computer Science (1895-3735), 2024, v. 20, n. 2, p. 109, doi. 10.35784/acs-2024-19
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- Article
APPLICATION OF EEMD-DFA ALGORITHMS AND ANN CLASSIFICATION FOR DETECTION OF KNEE OSTEOARTHRITIS USING VIBROARTHROGRAPHY.
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- Applied Computer Science (1895-3735), 2024, v. 20, n. 2, p. 90, doi. 10.35784/acs-2024-18
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- Article
THE UTILIZATION OF 6G IN INDUSTRY 4.0.
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- Applied Computer Science (1895-3735), 2024, v. 20, n. 2, p. 75, doi. 10.35784/acs-2024-17
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- Article
EXAMINATION OF SUMMARIZED MEDICAL RECORDS FOR ICD CODE CLASSIFICATION VIA BERT.
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- Applied Computer Science (1895-3735), 2024, v. 20, n. 2, p. 60, doi. 10.35784/acs-2024-16
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- Article
MODELING OF OPTIMAL PROBE MEASUREMENT TIME ON A MACHINE TOOL USING MACHINE LEARNING METHODS.
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- Applied Computer Science (1895-3735), 2024, v. 20, n. 2, p. 43, doi. 10.35784/acs-2024-15
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- Article
DIGITAL NEWS CLASSIFICATION AND PUNCTUACTION USING MACHINE LEARNING AND TEXT MINING TECHNIQUES.
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- Applied Computer Science (1895-3735), 2024, v. 20, n. 2, p. 24, doi. 10.35784/acs-2024-14
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- Article
FEW-SHOT LEARNING WITH PRE-TRAINED LAYERS INTEGRATION APPLIED TO HAND GESTURE RECOGNITION FOR PEOPLE WITH DISABILITIES.
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- Applied Computer Science (1895-3735), 2024, v. 20, n. 2, p. 1, doi. 10.35784/acs-2024-13
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- Article