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 ...
IEEE

Towards Optimised SORT Tracking Algorithm: Tuning the Feature Extractor Base-Model

Abstract: Multi-object tracking (MOT) is essential in applications such as surveillance, security, healthcare, and autonomous driving, where effective feature extraction is critical to the performance ...
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

Attention-Driven Feature Fusion Integrating Swin Transformer and CNN Models for Improved Ocular Disease Classification

Abstract: Fundus images are crucial for diagnosing ocular diseases, but timely and accurate classification remains chal-lenging due to complex retinal structures and significant class imbalances in ...
Frontiers

1D-CNN for non-cooperative rotational Doppler signal extraction

The discovery of the rotational Doppler effect (RDE) has opened new opportunities for detecting parameters of rotating targets. In recent years, the physical mechanisms underlying this effect have ...
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 ...