Results 11 to 20 of about 1,044,738 (264)
On the accuracy of bot detection techniques
Proceedings of the Fourth International Workshop on Bots in Software Engineering, 2022 Automated Assistance for Developing Software in Ecosystems of the Future - Fédération Wallonie ...
Golzadeh, Mehdi +2 more
openaire +2 more sources
The Accuracy of Subhalo Detection [PDF]
Monthly Notices of the Royal Astronomical Society, 2010 9 pages, 7 figures, accepted for publication in ...
Muldrew, Stuart I. +2 more
openaire +3 more sources
Improving the detection accuracy of evolutionary coupling [PDF]
2013 21st International Conference on Program Comprehension (ICPC), 2013 If two or more program entities (e.g., files, classes, methods) co-change frequently during software evolution, these entities are said to have evolutionary coupling. The entities that frequently co-change (i.e., exhibit evolutionary coupling) are likely to have logical coupling (or dependencies) among them.
Manishankar Mondal +2 more
openaire +2 more sources
Buildings, 2023 Enhancing the assessment of compressive strength and the efficiency of rebound hammers in non-destructive testing for high-strength concrete is an urgent issue in construction engineering.
Jinming Chen +3 more
doaj +1 more source
The abnormal traffic detection scheme based on PCA and SSH
Connection Science, 2022 Network abnormal traffic detection can monitor the network environment in real time by extracting and analysing network traffic characteristics, and plays an important role in network security protection.
Zhenhui Wang +4 more
doaj +1 more source
An overview of diabetes diagnosis methods on the Pima Indian dataset [PDF]
Journal of Mahani Mathematical Research, 2023 In recent years, data mining and machine learning methods in the medical field have received much attention and have optimized many complex issues in the medical field.
Farzad Heydari +2 more
doaj +1 more source
Improving the Accuracy of Refactoring Detection
, 2023 With the development of refactoring technology, refactoring detection technology as its reverse technology has also been greatly progressed and applied, the technology has important significance and role for code optimisation, code review and code reliability.
openaire +3 more sources
A Fabric Defect Detection Method Based on Deep Learning
IEEE Access, 2022 Fabric defect detection is a challenging task in the fabric industry because of the complex shapes and large variety of fabric defects. Many methods have been proposed to solve this problem, but their detection speed and accuracy were very low.
Qiang Liu +4 more
doaj +1 more source
Accuracy Is Not Enough: Optimizing for a Fault Detection Delay
Mathematics, 2023 This paper assesses the fault-detection capabilities of modern deep-learning models. It highlights that a naive deep-learning approach optimized for accuracy is unsuitable for learning fault-detection models from time-series data. Consequently, out-of-the-box deep-learning strategies may yield impressive accuracy results but are ill-equipped for real ...
Matej Šprogar, Domen Verber
openaire +3 more sources
User-Oriented Piezoelectric Force Sensing and Artificial Neural Networks in Interactive Displays
IEEE Journal of the Electron Devices Society, 2018 Force touch based interactivity has been widely integrated into displays equipped in most of smart electronic systems such as smartphones and tablets.
Shuo Gao +4 more
doaj +1 more source