Day-ahead prediction of distributed regional-scale photovoltaic power
EC Asiri, CY Chung, X Liang - IEEE Access, 2023 - ieeexplore.ieee.org
Day-ahead forecasts are required by electricity market investors to make informed decisions
on the trading floor. Whereas it is relatively easier to predict the performance of a few large …
on the trading floor. Whereas it is relatively easier to predict the performance of a few large …
A Comparative Analysis of Machine Learning and Deep Learning Approaches for Circular RNA Classification
V Rajendran, H Anandaram, S Kumar… - … and Informatics (IC3I …, 2023 - ieeexplore.ieee.org
Circular RNAs (circRNAs) have emerged as crucial regulators of gene expression and
potential biomarkers in various biological processes and diseases. However, accurately …
potential biomarkers in various biological processes and diseases. However, accurately …
Automatic Recognition of Wild Animals for Road Accident Prevention Using Deep Learning with Yolov4
PA Diop, AD Gueye, M Deme - International Conference on Signal …, 2023 - Springer
In this paper, we address the problem of wildlife recognition for road accident prevention,
where a rate of 63.17% per year of road accidents is noted in Senegal. Given that the …
where a rate of 63.17% per year of road accidents is noted in Senegal. Given that the …