A panel of three federal judges has blocked Texas from using a new congressional map that Republicans drew in hopes of picking up five U.S. House seats. Donald Trump’s White House ballroom targeted in ...
Deep learning project using TensorFlow CNN for Brain MRI image classification (Ischemic vs Hemorrhagic). Includes model training, evaluation, preprocessing, and result visualization.
Abstract: Human activity recognition (HAR) is essential for advancing healthcare, fitness, and patient monitoring because it provides critical insights into human physical movements. This study ...
Abstract: Human motion pattern recognition plays a crucial role in applications, such as navigation and positioning, health monitoring, disease prevention, smart healthcare, military security, and ...
Drought Pattern Recognition Using Convolutional Neural Networks and Historical Climate Data Insights
Abstract: Drought is a complex natural hazard that significantly impacts agriculture, water resources, and socioeconomic systems. Precise identification and classification of drought patterns are ...
Abstract: This paper presents a hybrid CNN-BiLSTM model for surface Electromyography (sEMG) signal classification towards bio-robotic applications. The EMG signals were segmented into four-channels, ...
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