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Trends in Extreme Climate Events over Three Agroecological Zones of Southern Ethiopia
Published 2018-01-01Get full text
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An innovative contactless current sensor for smart grids applications
Published 2025-05-01“…While the drone's functionality lies beyond the scope of this paper, the focus is on the sensor box and its internal circuitry. …”
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Resolution-Aware Deep Learning with Feature Space Optimization for Reliable Identity Verification in Electronic Know Your Customer Processes
Published 2025-05-01“…By incorporating Monte Carlo dropout, the system estimates predictive uncertainty, addressing critical limitations of conventional black-box deep learning models. Experimental evaluations confirmed the effectiveness of the framework, achieving a classification accuracy of 99.7%, precision of 99.2%, recall of 99.3%, and an AUC score of 99.5% under standard testing conditions. …”
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Correlations Between the Opioid System, Imidazoline Receptors, and EEG: An Investigation of Acquired Drug-Seeking Behaviors in Different Environments
Published 2025-07-01“…Thirty-six male Wistar rats were placed within a conditioned place preference (CCP) setting using a three-compartment box apparatus. The transition of the six groups of subjects from one compartment to another was constantly monitored, related to preconditioning for one day, conditioning for eight days, and post-conditioning testing on day 10. …”
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Visual inspection after acetic acid (VIA) is highly heterogeneous in primary cervical screening in Amazonian Peru.
Published 2015-01-01“…The dispersion factor "D" (D = Pearson chi-square value/degrees-of-freedom) was used to measure the variability of tests results. Within C-TATI, the variability of positivity rates of VIA, Pap, LBC and HR-HPV was also graphically assessed with box- and scatter plots by midwife and month of screening. …”
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Forecasting and Feature Analysis of Ship Fuel Consumption by Explainable Machine Learning Approaches
Published 2025-03-01“…It was found that, with an R² of 1, zero mean squared error (MSE), and a negligible mean absolute percentage error (MAPE), the DT model suited the training set perfectly, while R² was 0.8657, the MSE was 56.80, and the MAPE was 16.37% for the DT model testing. …”
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YOLOv8m for Automated Pepper Variety Identification: Improving Accuracy with Data Augmentation
Published 2025-06-01“…These findings underscore the considerable potential of CNNs to advance the AgriFood sector through increased automation and efficiency. While acknowledging the constraints of a controlled image dataset, subsequent research should prioritize expanding the dataset and conducting real-world testing to confirm the model’s robustness across various environmental factors. …”
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A Deep Learning Approach to Measure Visual Function in Zebrafish
Published 2025-06-01Get full text
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Experimental Investigation on the Vertical Bearing Characteristics of Jacked Piles in Saturated Silt Foundations under Excavation
Published 2022-01-01“…The soil vacuum saturation system designed for the model box of this test device can ensure that the saturated soil in the model box can reach a higher degree of saturation. …”
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