Imagine having a super-powered lens that uncovers hidden secrets of ultra-thin materials used in our gadgets. Research led by ...

This research aims to reactivate object-oriented databases using intelligent tools to improve performance and accuracy in ...

Google’s June 2025 Core Update just finished. What’s notable is that while some say it was a big update, it didn’t feel ...

Synthetic cannabinoids, a class of new psychoactive substances, have emerged as a significant public health and social stability threat due to their structural diversity, rapid iteration, and stronger ...

To avoid these difficulties, classification algorithms can be used to detect the presence and location of brain lesions or identify the lesion type. During the last decades, several research ...

Efficient tree species classification using machine and deep learning algorithms based on UAV-LiDAR data in North China ...

3 Results 3.1 KDDC framework: classification of cell heterogeneity based on amino acid sequence similarity We propose a novel framework that integrates k-mer cutting, dataset screening, dimensionality ...

Imbalanced data remains a challenge in classification research and significantly influences classifier performance. The strategy that is widely used to address this issue is the data-level approach or ...

Therefore, this paper proposes an improved adaptive variable structure interacting multiple model tracking algorithm by analyzing the maneuvering characteristics of the target. The algorithm can ...

This study introduces an ensemble classification framework to detect and grade diabetic retinopathy into 5 classes leveraging the concepts of transfer learning and data fusion. It utilizes three ...