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Autor:
Sharma, Abhishek, Sharma, Abhinav, Dasgotra Ankit, Jately, Vibhu, Ram, Mangey, Rajput, Shailendra, Averbukh, Moshe, Azzopardi, Brian
Publikováno v:
IEEE Access, Vol 9, Pp 125590-125602 (2021)
Parameter estimation of photovoltaic modules is an essential step to observe, analyze, and optimize the performance of solar power systems. An efficient optimization approach is needed to obtain the finest value of unknown parameters. Herewith, this
Publikováno v:
IEEE Access, Vol 9, Pp 86843-86854 (2021)
The tillering period of rice is the crucial phenological period for the cultivation of high-quality and high-yield rice. Currently, human inspection is mainly used for identification, but it is time-consuming, laborious, and prone to mistakes. To eff
Publikováno v:
IEEE Access, Vol 9, Pp 115292-115314 (2021)
Convolutional neural networks (CNNs) have developed to become powerful models for various computer vision tasks ranging from object detection to semantic segmentation. However, most of the state-of-the-art CNNs cannot be deployed directly on edge dev
Publikováno v:
IEEE Access, Vol 9, Pp 86581-86589 (2021)
Line-edge-roughness (LER) is one of undesirable process-induced random variation sources. LER is mostly occurred in the process of photo-lithography and etching, and it provokes random variation in performance of transistors such as metal oxide semic
A Stacking Ensemble Model to Predict Daily Number of Hospital Admissions for Cardiovascular Diseases
Publikováno v:
IEEE Access, Vol 8, Pp 138719-138729 (2020)
With lifestyle and environmental changes, the prevalence of cardiovascular diseases (CVDs) is trending upwards, putting pressure on the limited medical resources. Accurate forecasting of daily counts of hospital admissions (HAs) for CVDs is helpful t