Blar i NTNU Open på forfatter "Gupta, Manjari"
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EduNet: A New Video Dataset for Understanding Human Activity in the Classroom Environment
Sharma, Vijeta; Gupta, Manjari; Kumar, Ajai; Mishra, Deepti (Peer reviewed; Journal article, 2021)Human action recognition in videos has become a popular research area in artificial intelligence (AI) technology. In the past few years, this research has accelerated in areas such as sports, daily activities, kitchen ... -
Machine Learning-Based Methods for Code Smell Detection: A Survey
Yadav, Pravin Singh; Rao, Rajwant Singh; Mishra, Alok; Gupta, Manjari (Journal article; Peer reviewed, 2024)Code smells are early warning signs of potential issues in software quality. Various techniques are used in code smell detection, including the Bayesian approach, rule-based automatic antipattern detection, antipattern ... -
A Review of Deep Learning-based Human Activity Recognition on Benchmark Video Datasets
Sharma, Vijeta; Gupta, Manjari; Pandey, Anil Kumar; Mishra, Deepti; Kumar, Ajai (Journal article; Peer reviewed, 2022) -
A study of dealing class imbalance problem with machine learning methods for code smell severity detection using PCA-based feature selection technique
Rao, Rajwant Singh; Dewangan, Seema; Mishra, Alok; Gupta, Manjari (Peer reviewed; Journal article, 2023)Detecting code smells may be highly helpful for reducing maintenance costs and raising source code quality. Code smells facilitate developers or researchers to understand several types of design flaws. Code smells with ... -
Video Processing Using Deep Learning Techniques: A Systematic Literature Review
Sharma, Vijeta; Gupta, Manjari; Kumar, Ajai; Mishra, Deepti (Peer reviewed; Journal article, 2021)Studies show lots of advanced research on various data types such as image, speech, and text using deep learning techniques, but nowadays, research on video processing is also an emerging field of computer vision. Several ...