Schizophrenia is a neurological disorder that affects thinking. It is important to have an early diagnosis. A new method for detecting Schizophrenia using Electroencephalogram (EEG) signals is ...

These vulnerabilities significantly impact the security of IVNs and the accuracy of in-vehicle Intrusion Detection Systems (IDS). To address these issues, this paper proposes a lightweight and ...

Glaucoma, a leading cause of irreversible blindness, requires precise segmentation of the optic disc and optic cup in fundus images for early diagnosis and progression monitoring. This study presents ...

Comparative Analysis of Lung Cancer Detection Using CNN, KNN, and SVM Algorithms: Evaluating Accuracy and Performance Abstract: Lung cancer remains a leading cause of mortality, emphasizing the ...

Coronary Heart Disease popularly referred to as CHD is one of the leading causes of death and illness across the global population making it imperative for the identification of an effective approach ...

As the population increases, further structures are being erected to meet the demands of the populace. Nonetheless, this surge in development presents the challenge of guaranteeing that each edifice ...

Mamba has gained significant attention for its outstanding long-range context modeling capability while maintaining linear complexity, compared with Transformer. In this article, a hybrid Mamba and ...

Bone cracks are the common injuries nowadays, and the graph of injured cases is increasing with time. Detection of disease thru computer is need of hour in all the cases. Telemedicine also needs the ...

Arabic Fake News Detection Using CNN and Fuzzy Logic Abstract: The distribution and dissemination of information face a major challenge due to the fast spread of fake news in digital communications ...

This article introduces a novel automatic multiple vehicle detection and tracking framework that combines successfully computer vision to partial differential equation (PDE) - based models. Its ...

In this research, a new framework is proposed that integrates the edge detection strategy (using edge detectors) with the deep learning methods, such as a convolutional neural network (CNN), for ...