In recent years, deep learning (DL) has been the most popular computational approach in
the field of machine learning (ML), achieving exceptional results on a variety of complex …

Abstract Machine learning and deep learning are subsets of Artificial Intelligence that have
revolutionized object detection and classification in images or videos. This technology plays …

Brain tumors are among the most fatal and devastating diseases, often resulting in
significantly reduced life expectancy. An accurate diagnosis of brain tumors is crucial to …

Skin cancer is one of the most widespread threats to human health worldwide. Therefore,
early-stage recognition and detection of these diseases are crucial for patients' lives …

Abstract Laser Directed Energy Deposition (L-DED) has garnered significant attention due to
its high flexibility and rapid processing capabilities. However, complex physical flow fields …

The explosion of data volume in the digital age has completely changed the corporate and
industrial environments. In-depth analysis of large datasets to support strategic decision …

Significant advancements in machine learning algorithms have the potential to aid in the
early detection and prevention of cancer, a devastating disease. However, traditional …

Due to the lack of load/displacement sensors in a complex and uncertain crash test/accident
of rail vehicles (eg, vehicle-to-vehicle or train-to-train collision), only structural deformation …

Background Heart failure (HF), a global health challenge, requires innovative diagnostic and
management approaches. The rapid evolution of deep learning (DL) in healthcare …

The random vector functional link (RVFL) neural network has shown the potential to
overcome traditional artificial neural networks' limitations, such as substantial time …