From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

Abstract: Ransomware attacks continue to threaten global cybersecurity, crippling systems through data encryption and extortion. Traditional detection methods struggle with evolving threats like ...

Abstract: The rapid growth of e-commerce has introduced significant challenges in optimizing logistics and distribution networks, particularly in determining hub locations to balance cost efficiency ...

Forests are central to climate mitigation, yet tracking how fast they grow over decades remains difficult. A new satellite-based approach reconstructs ...

Abstract: Alzheimer's dementia is liberal neurological ailment categorized by memory loss, cerebral failure, and it is the utmost communal form of dementia and typically affects older adults. Every ...

Abstract: According to the National Interagency Fire Center (NIFC) forest fires pose a major threat to our planet, causing severe ecological, economic, and human loss, with an estimated 7 million ...

Abstract: The growing demand for smaller, lighter, and more embedded hardware has made Physical Unclonable Functions (PUFs) a promising solution for authentication in Internet of Things (IoT) ...

Abstract: Education plays a crucial role in shaping the quality of human resources. One of the indicators of the effectiveness of the learning process is the academic achievement of students.

Abstract: Self-supervised learning of point cloud aims to leverage unlabeled 3D data to learn meaningful representations without reliance on manual annotations. However, current approaches face ...

Abstract: Learning over time for machine learning (ML) models is emerging as a new field, often called continual learning or lifelong Machine learning (LML). Today, deep learning and neural networks ...