Abstract: This paper focuses on the comparison of dimensionality reduction effect between LightGBM and XGBoost-FA. With respect to XGBoost, LightGBM can be built in the effect of dimensionality ...
Email is a vital tool for communication in today’s world; however, spam emails have emerged as a major challenge. These unsolicited messages from unknown sources often fill inboxes, disrupting ...
The Fourth Ukrainian NLP Workshop (UNLP 2025) organizes a Shared Task on Detecting Social Media Manipulation. This Shared Task aims to challenge and assess AI capabilities to detect and classify ...
Diabetic retinopathy is a serious concern for people dealing with diabetes. Detecting diabetic retinopathy poses significant challenges, requiring skilled professionals, extensive manual image ...
An area of great hope and promise for applied artificial intelligence (AI) deep learning is at the intersection of neuroscience and oncology, both challenging fields known for their inherent ...
Deep learning-based classification of eye diseases using Convolutional Neural Network for OCT images
Deep learning shows promising results in extracting useful information from medical images. The proposed work applies a Convolutional Neural Network (CNN) on retinal images to extract features that ...
1 Department of Computer Science, Sudan Technical University, Khartoum, Sudan. 2 Faculty of Computer Science and Information Technology, Alzaiem Alazhri University, Khartoum, Sudan. 3 Applied College, ...
The acquisition of bio-signal from the human body requires a strict experimental setup and ethical approvements, which leads to limited data for the training of classifiers in the era of big data. It ...
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