Cyclical Learning Rate Optimization on Deep Learning Model for Brain Tumor Segmentation

A Fajar, R Sarno, C Fatichah, RI Susilo… - IEEE Access, 2023 - ieeexplore.ieee.org
In recent years, deep learning has found widespread applications in tasks such as
segmentation and classification. Fine-tuning hyperparameters is crucial to improve …

COVID-19 infection segmentation using hybrid deep learning and image processing techniques

S Antar, HKH Abd El-Sattar, MH Abdel-Rahman… - Scientific Reports, 2023 - nature.com
Abstract The coronavirus disease 2019 (COVID-19) epidemic has become a worldwide
problem that continues to affect people's lives daily, and the early diagnosis of COVID-19 …

[PDF][PDF] Robust Object Recognition with Deep Learning on a Variety of Datasets.

S Antar, HK Hussein, MH Abdel-rahman… - International Journal of …, 2023 - researchgate.net
For many intelligent applications, object recognition is a critical issue. Developing an
effective feature extraction method is one of the most difficult issues in object recognition. For …

Currency Recognition Using EAST for Text Detection and Tesseract OCR for Text Recognition

ES Abass, AEF Mohamed, A Amer… - … on Electrical, Energy …, 2023 - ieeexplore.ieee.org
This research study presents a novel approach for detecting currency utilizing cutting-edge
technologies such as the Efficient and Accurate Scene Text (EAST) model and Tesseract …

[PDF][PDF] Cyclical Learning Rate Optimization on Deep Learning Model for Brain Tumor Segmentation

G PANGESTU - 2023 - lbeifits.wordpress.com
In recent years, deep learning has found widespread applications in tasks such as
segmentation and classification. Fine-tuning hyperparameters is crucial to improve …