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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...
Published 2024-09-01“…Enhancing usage incentive, continuously refining the accuracy of the recommendation system’s algorithms, and conducting comparative analyses with existing systems are essential to improve the recommendation system’s perceived utility. …”
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383
Identifying potential threats to economic security in a commercial organization
Published 2023-12-01“…The article reveals methods of identifying potential threats to economic security of commercial organization, primarily the algorithm of express diagnostics of its financial and economic activities. …”
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384
Enhancing radiomics robustness using bayesian penalized likelihood PET reconstruction: application to Phantom and non-small cell lung cancer patient studies
Published 2025-07-01“…Abstract Purpose This study aims to enhance the diagnostic and prognostic capabilities of PET imaging through improved robustness of radiomics features, utilizing the Bayesian penalized likelihood (BPL) reconstruction algorithm. …”
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385
Microstructured Waveguide Sensors for Point-of-Care Health Screening
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All we know about polycythemia vera: literature review and own experience
Published 2015-10-01“…The results of newest advances in pathogenesis description, modern diagnostic techniques and treatment modalities in polycythemia vera are included. …”
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388
Applying Machine Learning Sampling Techniques to Address Data Imbalance in a Chilean COVID-19 Symptoms and Comorbidities Dataset
Published 2025-01-01“…To address this issue, we applied various machine learning algorithms, both with and without sampling methods, and compared them using different classification and diagnostic metrics such as precision, sensitivity, specificity, likelihood ratio positive, and diagnostic odds ratio. …”
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Accurately assessing congenital heart disease using artificial intelligence
Published 2024-11-01“…These ML-based models can help healthcare professionals identify high-risk infants and ensure timely and appropriate care. In addition, ML algorithms excel at detecting and analyzing complex patterns that can be overlooked by human clinicians, thereby enhancing diagnostic accuracy. …”
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Solution of clusterization problem by graph optimization methods
Published 2019-09-01“…In this paper, we propose a clustering algorithm based on the notions of the graph theory (namely, the maximum flow (the minimum cut) theorem) and compare the results obtained by it and by four other algorithms that belong to various classes of clusterization techniques.…”
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Research on rolling bearing compound fault diagnosis based on AMOMCKD and convolutional neural network
Published 2025-04-01“…Experimental results from two different datasets highlight that AMOMCKD-CNN outperforms other classical diagnostic methods under the same conditions, and it is more conducive to the detection of compound faults.…”
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Technique for Measuring the Internal Diameter and Area of Visible Vessels of the Eye
Published 2019-06-01“…It is based on the use of subpixel interpolation when searching for a global minimum of the standard deviation of the differences in brightness of the first and selected frame.The proposed algorithms for tracing the vascular pattern and determining the internal diameter and cross-sectional area of the blood vessels are described. …”
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Research on CNC Machine Tool Spindle Fault Diagnosis Method Based on DRSN–GCE Model
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Validation of Artificial Intelligence Computer-Aided Detection of Colonic Neoplasm in Colonoscopy
Published 2024-12-01“…In addition, we validated the CADe algorithm and compared its diagnostic performance with that of two expert endoscopists and six trainees from Gachon University Gil Medical Center. …”
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Multiple Red Flags of Cardiac Amyloidosis in a Single Patient: Clinical Manifestations of an Underdiagnosed Disease
Published 2024-12-01“…After reviewing the initial findings, several red flags for cardiac amyloidosis (CA) were identified. Following the diagnostic algorithm, scintigraphy was performed and showed significant radioisotope accumulation in the myocardium, confirming the suspected disease. …”
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