(a) The traditional YOLOv5 prediction box for defect types. (b) CFM-YOLOv5 algorithm for defect type prediction box.</p
This dataset consists of figures of the analysis result for our research paper entitled "Application...
In this paper we formalize the defect prediction problem as a multi-objective optimization problem. ...
The paper focuses on Cross-Version Defect Prediction (CVDP) where the classification model is traine...
Aiming at the problem of low efficiency of manual detection in the field of metal surface defect det...
Aiming at the problem of low efficiency of manual detection in the field of metal surface defect det...
Aiming at the problem of low efficiency of manual detection in the field of metal surface defect det...
Context: Automated software defect prediction (SDP) methods are increasingly applied, often with the...
Aiming at the problem of low efficiency of manual detection in the field of metal surface defect det...
Delivering a reliable and high-quality software system to client is a big challenge in software dev...
A Novel Approach to Heart Failure Prediction and Classification through Advanced Deep Learning Mode
An automatic mode that increases sample stability is checked to verify the software design. Predict ...
Software defect prediction (SDP) in the initial period of the software development life cycle (SDLC)...
To improve software reliability, software defect prediction is used to find software bugs and priori...
Abstract—Defect prediction is a very meaningful topic, par-ticularly at change-level. Change-level d...
Aiming at the problem of low efficiency of manual detection in the field of metal surface defect det...
This dataset consists of figures of the analysis result for our research paper entitled "Application...
In this paper we formalize the defect prediction problem as a multi-objective optimization problem. ...
The paper focuses on Cross-Version Defect Prediction (CVDP) where the classification model is traine...
Aiming at the problem of low efficiency of manual detection in the field of metal surface defect det...
Aiming at the problem of low efficiency of manual detection in the field of metal surface defect det...
Aiming at the problem of low efficiency of manual detection in the field of metal surface defect det...
Context: Automated software defect prediction (SDP) methods are increasingly applied, often with the...
Aiming at the problem of low efficiency of manual detection in the field of metal surface defect det...
Delivering a reliable and high-quality software system to client is a big challenge in software dev...
A Novel Approach to Heart Failure Prediction and Classification through Advanced Deep Learning Mode
An automatic mode that increases sample stability is checked to verify the software design. Predict ...
Software defect prediction (SDP) in the initial period of the software development life cycle (SDLC)...
To improve software reliability, software defect prediction is used to find software bugs and priori...
Abstract—Defect prediction is a very meaningful topic, par-ticularly at change-level. Change-level d...
Aiming at the problem of low efficiency of manual detection in the field of metal surface defect det...
This dataset consists of figures of the analysis result for our research paper entitled "Application...
In this paper we formalize the defect prediction problem as a multi-objective optimization problem. ...
The paper focuses on Cross-Version Defect Prediction (CVDP) where the classification model is traine...
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