Capturing a president: CNN analysis reveals extraordinary risks taken to seize Maduro

The audacious US operation to remove Venezuelan President Nicolás Maduro came down to an intense final firefight in which US helicopters were exposed to an extraordinary level of risk as they ...
CNN

Inside the operation: How the US moved to capture Nicolás Maduro

It was just like watching television. Huddled in a draped-off room at Mar-a-Lago around screens set up for his viewing pleasure — including, according to photos released by the White House, a live ...
IEEE

Enhancing Soybean Disease Diagnosis using CNN-based Feature Extraction and Random Forest Classification

Abstract: Soybean plants are highly susceptible to various diseases, impacting crop yield and quality. Accurate and early detection of these diseases is essential for effective management and ...
IEEE

A Chlorophyll Concentration Inversion Method Based on OWTs and 1D CNN-Transformer Feature Extraction

Abstract: The inversion of chlorophyll-a (Chla) across water bodies is challenged by the diversity of optical water types (OWTs) and by the nonlinear superposition of optical signals from optically ...
IEEE

Classification of Herbal Leaves Using SVM and CNN with GMI and HSV Feature Extraction

Abstract: Herbal plants have numerous medicinal benefits and are used to treat various diseases. However, the morphological similarity of certain herbal leaves poses challenges in their identification ...
IEEE

Emotion-Aware Multi-Modal Feature Extraction using CNN-Bi-LSTM with Dynamic Emotional Salience

Abstract: Emotion-aware sentiment analysis has gained significant attention in recent years due to its applications in social media monitoring, mental health assessment, and customer feedback analysis ...
IEEE

SwinKANet: Global-Local Feature Extraction via Attentions and Kolmogorov Arnold Network for Satellite Imagery

Abstract: Semantic segmentation is essential for earth observation tasks. Accurate segmentation relies on integrating both global and local contexts, which traditional convolutional neural networks ...
IEEE

A Review on Hyper Spectral Image Classification using CNN and Deep Learning Techniques

Abstract: Hyperspectral Imaging (HSI) has undeniably transformed various real-world applications by capturing intricate spectral information at every pixel. Nevertheless, the nonlinear relationships ...