Atomic defects can tune carbon quantum dots across UV to near-infrared light, guiding cleaner design of sensors, bioimaging ...
A software workflow automates X-ray analysis to spot crystal defects in diamond and advanced semiconductors, helping improve ...
Abstract: Automated sewer defects detection has become an important trend for better management and maintenance of urban sewer systems. Deep learning technology has developed rapidly and offers an ...
Two alumni of Greenwood High International School have secured first place in the poster competition at Purdue University's ...
The rising traffic density and heavier loads on the city’s vast network of bridges and highways have posed challenges to establishing an efficient and reliable inspection system for road safety.
Tired of subway delays? The MTA wants to fix that by strapping Google smartphones to New York trains
Rob Sarno has been with the New York City’s Metropolitan Transportation Authority (MTA) for 14 years. As assistant chief track officer, he assists maintenance and emergency response — which also meant ...
One of the major renewable energy sources for powering homes and businesses is wind energy 1,2. The advancement of wind power technology has resulted in the installation of numerous wind turbines.
This research investigates deep learning-based approach for defect detection in the steel production using Severstal steel dataset. The developed system integrates DenseNet121 for classification and ...
In recent years, the preservation and conservation of ancient cultural heritage necessitate the advancement of sophisticated non-destructive testing methodologies to minimize potential damage to ...
The stable operation of a power supply system is inseparable from the work of detecting defects in transmission lines. However, the insulator defect detection model based on deep learning is widely ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results