Researchers have tested eight stand-alone deep learning methods for PV cell fault detection and have found that their accuracy was as high as 73%. All methods were trained and tested on the ELPV ...

On the technology spectrum, railroads would certainly seem to skew toward the brutally simplistic side of things. A couple of strips of steel, some wooden ties and gravel ballast to keep everything in ...

Automakers use AI-driven predictive maintenance and computer vision control to achieve a 35-50% reduction in unscheduled ...

Relying solely on end-of-line testing isn't enough when security, traceability, and mission reliability are vital.

Defect inspection scientists from Huazhong University of Science and Technology, Harbin Institute of Technology and The Chinese University of Hong Kong make a thorough review of new perspectives and ...

Detecting macro-defects early in the wafer processing flow is vital for yield and process improvement, and it is driving innovations in both inspection techniques and wafer test map analysis. At the ...

In 2024, the global market size of Wafer Defect Inspection System was estimated to be worth USD 7661 Million and is forecast ...

Despite advances in prenatal care, the detection rate of congenital heart defects during routine ultrasounds remains suboptimal. In a new study to be presented today at the Society for Maternal-Fetal ...