Object detection is a widely applied approach in addressing many real-world computer
vision challenges. Despite its importance, object detection is computationally intensive and …

Ferrograph-based wear debris analysis (WDA) provides significant information for wear fault
analysis of mechanical equipment. After decades of offline application, this conventional …

The rapid advancements in deep learning have revolutionized the field of computer vision.
However, despite the significant progress in computer vision, there remains a scarcity of …

Improving search efficiency serves as one of the crucial objectives of Neural Architecture
Search (NAS). However, many current approaches ignore the universality of the search …

In differentiable search architecture search methods, a more efficient search space design
can significantly improve the performance of the searched architecture, thus requiring …

Current research attempts to predict SARS-COV-2 efficiently applying recent artificial
intelligence algorithms and lung radiography. In this investigation, we applied the promising …