نتایج جستجو برای: defect detection
تعداد نتایج: 655791 فیلتر نتایج به سال:
Objective(s): This study was designed to assess defect detectability in positron emission tomography (PET) imaging of abdominal lesions. Methods: A National Electrical Manufactures Association International Electrotechnical Commission phantom was used. The simulated abdominal lesion was scanned for 10 min using dynamic list-mode acquisition method. Images, acquired with scan duration of 1-10 mi...
To allow testers to know the types of faults they are looking for and to detect fault commonality and criticality, it is important to categorise code defects. The paper reviews testing techniques and taxonomies and considers fault clustering and isolation.
One of the novel ultrasonic phased array based scanning methods for ultrasonic imaging in non-destructive test is total focusing method (TFM). This method employs maximum available information of the phased array elements and leads to an improved defect detection accuracy compared to conventional scanning methods. Despite its high detection accuracy, TFM behaves weak in distinguishing the real ...
One of the novel ultrasonic phased array based scanning methods for ultrasonic imaging in non-destructive test is total focusing method (TFM). This method employs maximum available information of the phased array elements and leads to an improved defect detection accuracy compared to conventional scanning methods. Despite its high detection accuracy, TFM behaves weak in distinguishing the real ...
The defect detection task can be regarded as a realistic scenario of object in the computer vision field and it is widely used industrial field. Directly applying vanilla detector to achieve promising results, while there still exists challenging issues that have not been solved. first issue texture shift which means trained model will easily affected by unseen texture, second partial visual co...
To allow testers to know the types of faults they are looking for and to detect fault commonality and criticality, it is important to categorise code defects. The paper reviews testing techniques and taxonomies and considers fault clustering and isolation.
چکیده ندارد.
Currently defect detection in additive manufacturing is predominately done by traditional image processing, approximation, and statistical methods. Two important aspects of defect detection are edge detection and porosity detection. Both problems appear to be good candidates to apply machine learning. This project describes the implementation of neural networks as an alternative method for defe...
نمودار تعداد نتایج جستجو در هر سال
با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید