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Modeling of the optimum level of financial provision of Ukrainian enterprises' innovative activities
Published 2019-08-01Get full text
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The valuation of older adult homecare services under a joint medical-social budgetary perspective
Published 2024-12-01Get full text
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Thermodynamic Evaluation of the Hybrid Combined Cycle Power Plant in the Valley of Mexico
Published 2025-04-01Get full text
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The Influence of Artificial Intelligence Tools on Learning Outcomes in Computer Programming: A Systematic Review and Meta-Analysis
Published 2025-05-01“…This systematic review and meta-analysis investigates the impact of artificial intelligence (AI) tools, including ChatGPT 3.5 and GitHub Copilot, on learning outcomes in computer programming courses. …”
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Comparative Analysis of CO<sub>2</sub> Adsorption Performance of Bamboo and Orange Peel Biochars
Published 2025-04-01“…The CO<sub>2</sub> adsorption isotherm shows a higher adsorption capacity (22.83 cm<sup>3</sup>/g) in OPB than BB (14.12 cm<sup>3</sup>/g) at 273 K and 1 bar. …”
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Enhancing skin lesion classification: a CNN approach with human baseline comparison
Published 2025-04-01“…A CNN model utilizing the EfficientNetB3 backbone is trained on datasets from the ISIC-2019 and ISIC-2020 SIIM-ISIC melanoma classification challenges and evaluated on a 150-image test set. …”
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Influence of Nucleating Agents on the Crystallization, Thermal, and Mechanical Properties of Poly(3-hydroxybutyrate-<i>co</i>-3-hydroxyhexanoate) (P3HBHHx)
Published 2025-05-01“…Overall, BN emerged as the most effective nucleating agent for enhancing the P3HBHHx crystallization kinetics, providing a promising strategy for improving processing efficiency and reducing the cycle times in industrial applications.…”
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Energy-Stable Time-Domain Finite Element Methods for the 3D Nonlinear Maxwell's Equations
Published 2020-01-01Get full text
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1819
Enhancing Gait Analysis for Parkinson’s Disease Detection and Severity Staging With a Parallel Conv1D-Efficient Transformer and Bidirectional GRU Hybrid Architecture
Published 2025-01-01“…Designed to balance computational efficiency and scalability, the model demonstrates state-of-the-art performance, achieving 95.7% accuracy in PD detection and 87.3% accuracy in severity staging on the PhysioNet gait dataset. …”
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Driving Pattern Analysis, Gear Shift Classification, and Fuel Efficiency in Light-Duty Vehicles: A Machine Learning Approach Using GPS and OBD II PID Signals
Published 2025-06-01“…The proposed approach is based on the analysis of identification parameters (PIDs), such as manifold absolute pressure (MAP), revolutions per minute (RPM), vehicle speed (VSS), torque, power, stall times, and longitudinal dynamics, to determine the efficiency and behavior of the vehicle in each of its gears. …”
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