| Software defect prediction analysis using machine learning algorithms PD Singh, A Chug 2017 7th international conference on cloud computing, data science …, 2017 | 97 | 2017 |
| Application of convolutional neural networks for evaluation of disease severity in tomato plant S Verma, A Chug, AP Singh Journal of Discrete Mathematical Sciences and Cryptography 23 (1), 273-282, 2020 | 79 | 2020 |
| Software Maintainability: Systematic Literature Review and Current Trends M Ruchika, C Anuradha International Journal of Software Engineering and Knowledge Engineering 26 …, 2016 | 78 | 2016 |
| Software maintainability prediction using machine learning algorithms R Malhotra¹, A Chug Software engineering: an international Journal (SeiJ) 2 (2), 2012 | 77 | 2012 |
| Application of extreme learning machine in plant disease prediction for highly imbalanced dataset A Bhatia, A Chug, A Prakash Singh Journal of Statistics and Management Systems 23 (6), 1059-1068, 2020 | 67 | 2020 |
| Prediction Models for Identification and Diagnosis of Tomato Plant Diseases APS Shradha Verma, Anuradha Chug 2018 International Conference on Advances in Computing, Communications and …, 2018 | 60 | 2018 |
| Exploring capsule networks for disease classification in plants S Verma, A Chug, AP Singh Journal of Statistics and Management Systems 23 (2), 307-315, 2020 | 58 | 2020 |
| Software defect prediction using supervised learning algorithm and unsupervised learning algorithm A Chug, S Dhall IET Digital Library, 2013 | 54 | 2013 |
| Application of group method of data handling model for software maintainability prediction using object oriented systems R Malhotra, A Chug International Journal of System Assurance Engineering and Management 5, 165-173, 2014 | 52 | 2014 |
| Deep learning-based mobile application for plant disease diagnosis: A proof of concept with a case study on tomato plant S Verma, A Chug, AP Singh, S Sharma, P Rajvanshi Applications of image processing and soft computing systems in agriculture …, 2019 | 50 | 2019 |
| A novel framework for image-based plant disease detection using hybrid deep learning approach A Chug, A Bhatia, AP Singh, D Singh Soft Computing 27 (18), 13613-13638, 2023 | 48 | 2023 |
| Hybrid SVM-LR classifier for powdery mildew disease prediction in tomato plant A Bhatia, A Chug, AP Singh 2020 7th International conference on signal processing and integrated …, 2020 | 47 | 2020 |
| A systematic literature survey of software metrics, code smells and refactoring techniques M Agnihotri, A Chug Journal of Information Processing Systems 16 (4), 915-934, 2020 | 46 | 2020 |
| Recent advancements in multimedia big data computing for IoT applications in precision agriculture: opportunities, issues, and challenges S Verma, A Bhatia, A Chug, AP Singh Multimedia Big Data Computing for IoT Applications: Concepts, Paradigms and …, 2019 | 45 | 2019 |
| [Retracted] A Systematic Analysis of Machine Learning and Deep Learning Based Approaches for Plant Leaf Disease Classification: A Review R Kumar, A Chug, AP Singh, D Singh Journal of Sensors 2022 (1), 3287561, 2022 | 42 | 2022 |
| Agile methodologies in software maintenance: A systematic review S Tarwani, A Chug Informatica 40 (4), 2016 | 36 | 2016 |
| BENCHMARKING FRAMEWORK FOR MAINTAINABILITY PREDICTION OF OPEN SOURCE SOFTWARE USING OBJECT ORIENTED METRICS A Chug, R Malhotra International Journal of Innovative Computing, Information and Control 12 (2 …, 2016 | 36 | 2016 |
| Classification of beans leaf diseases using fine tuned cnn model V Singh, A Chug, AP Singh Procedia Computer Science 218, 348-356, 2023 | 35 | 2023 |
| An empirical investigation of evolutionary algorithm for software maintainability prediction A Jain, S Tarwani, A Chug 2016 IEEE Students' Conference on Electrical, Electronics and Computer …, 2016 | 29 | 2016 |
| An empirical study to assess the effects of refactoring on software maintainability R Malhotra, A Chug 2016 International Conference on Advances in Computing, Communications and …, 2016 | 28 | 2016 |
Amit Prakash SinghGuru Gobind Singh Indraprastha University, Delhi在 ipu.ac.in 的电子邮件经过验证
