Abstract: Dementia, a neurodegenerative disorder, requires early prediction and effective diagnosis for providing better treatment to avert the loss. The detection and classification of disease is ...

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...

Abstract: This endeavor is designed to build a more advanced system. that applies deep learning techniques to detect early-stage depression in students. Growing concern exists for depression in ...

Abstract: To tackle the challenge of data diversity in sentiment analysis and improve the accuracy and generalization ability of sentiment analysis, this study first cleans, denoises, and standardizes ...

Abstract: Industrial high-risk circuit electrical fires pose a significant threat to industrial production, life safety, and property security. Traditional electrical fire warning methods primarily ...

A version of this story appeared in CNN Business’ Nightcap newsletter. To get it in your inbox, sign up for free here. In an interview with CNBC just after he posted the news on his social media site, ...

Department of Biotechnology, School of Arts and Sciences, American University of Ras Al Khaimah, Ras Al Khaimah, United Arab Emirates Artificial Intelligence and machine learning tools have brought a ...

Abstract: Accurate and up-to-date accident detection is crucial to improve road safety and reduce emergency response lag. Conventional methods for detecting accidents are usually based on manual ...

One of the fundamental requirements for the operation of power systems is safety and stability. However, in recent years, natural disasters such as rain, snow, and freezing weather have posed a ...

Abstract: Channel estimation is crucial in 5G communication networks for optimizing transmission parameters and ensuring reliable, high-speed communication. However, the use of multiple-input and ...