Browsing Vitenskapelige publikasjoner (TN-IDE) by Subject "maskinlæring"
Now showing items 1-6 of 6
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Automated Diagnosis of Prostate Cancer Using mpMRI Images: A Deep Learning Approach for Clinical Decision Support
(Peer reviewed; Journal article, 2023)Prostate cancer (PCa) is a significant health concern for men worldwide, where early detection and effective diagnosis can be crucial for successful treatment. Multiparametric magnetic resonance imaging (mpMRI) has evolved ... -
Deployment and Implementation Aspects of Radio Frequency Fingerprinting in Cybersecurity of Smart Grids
(Peer reviewed; Journal article, 2023)Smart grids incorporate diverse power equipment used for energy optimization in intelligent cities. This equipment may use Internet of Things (IoT) devices and services in the future. To ensure stable operation of smart ... -
Household Power Demand Prediction Using Evolutionary Ensemble Neural Network Pool with Multiple Network Structures
(Peer reviewed; Journal article, 2019-02)The progress of technology on energy and IoT fields has led to an increasingly complicated electric environment in low-voltage local microgrid, along with the extensions of electric vehicle, micro-generation, and local ... -
Improved Machine Learning-Based Predictive Models for Breast Cancer Diagnosis
(Peer reviewed; Journal article, 2022-03)Breast cancer death rates are higher than any other cancer in American women. Machine learning-based predictive models promise earlier detection techniques for breast cancer diagnosis. However, making an evaluation for ... -
Short-Term Load Forecasting Using Smart Meter Data: A Generalization Analysis
(Peer reviewed; Journal article, 2020-04)Short-term load forecasting ensures the efficient operation of power systems besides affording continuous power supply for energy consumers. Smart meters that are capable of providing detailed information on buildings ... -
Texture-based probability mapping for automatic scar assessment in late gadolinium-enhanced cardiovascular magnetic resonance images
(Peer reviewed; Journal article, 2021-12)Purpose To evaluate a novel texture-based probability mapping (TPM) method for scar size estimation in LGE-CMRI. Methods This retrospective proof-of-concept study included chronic myocardial scars from 52 patients. ...