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Dinesh Kumar Verma
Dinesh Kumar Verma
在 juet.ac.in 的电子邮件经过验证
标题
引用次数
引用次数
年份
Prediction of defect density for open source software using repository metrics
D Verma, S Kumar
Journal of Web Engineering, 293-310, 2017
282017
Analysis of Approach for Predicting Software Defect Density using Static Metrics
SK Neeraj Mandhan, Dinesh Kumar Verma
International Conference on Computing, Communication and Automation …, 2015
18*2015
An improved approach for reduction of defect density using optimal module sizes
D Verma, S Kumar
Advances in Software Engineering 2014 (1), 803530, 2014
142014
RETRACTED ARTICLE: Exponential Relationship Based Approach for Predictions of Defect Density Using Optimal Module Sizes
DK Verma, S Kumar
Proceedings of the National Academy of Sciences, India Section A: Physical …, 2016
72016
Severe acute respiratory syndrome Coronavirus-2 GenoAnalyzer and mutagenic anomaly detector using FCMFI and NSCE
S Dubey, DK Verma, M Kumar
International Journal of Biological Macromolecules 258, 129051, 2024
62024
Machine learning approaches in deal with the COVID-19: comprehensive study
S Dubeya, M Kumar, DK Verma
ECS Transactions 107 (1), 17815, 2022
62022
A hybrid model for prediction of software effort based on team size
P Rai, DK Verma, S Kumar
IET Software 15 (6), 365-375, 2021
62021
Prediction of software effort in the early stage of software development: a hybrid model
P Rai, S Kumar, DK Verma
IEEE Canadian Journal of Electrical and Computer Engineering 44 (3), 376-383, 2021
32021
Prediction of effort required to design software for smart city applications
P Rai, S Kumar, DK Verma
Journal of Physics: Conference Series 1714 (1), 012033, 2021
22021
An Analysis on Machine Learning Approaches for Sentiment Analysis
BK Shrivash, DK Verma, P Pandey
Smart Systems: Innovations in Computing 235, 499-513, 2021
22021
A hybrid machine learning framework for prediction of software effort at the initial phase of software development
P Rai, S Kumar, DK Verma
Advances in Computing and Data Sciences: 4th International Conference …, 2020
22020
Plant leaf disease detection using an optimized evolutionary gravitational neocognitron neural network
P Goyal, DK Verma, S Kumar
National Academy Science Letters, 1-8, 2024
12024
An Effective Framework for Sentiment Analysis of Hindi Sentiments Using Deep Learning Technique
BK Shrivash, DK Verma, P Pandey
Wireless Personal Communications 132 (3), 2097-2110, 2023
12023
An Effective Framework for Sentiment Analysis Using RNN and LSTM-Based Deep Learning Approaches
BK Shrivash iD, DK Verma, P Pandey
Advances in Computing and Data Sciences: 7th International Conference …, 2023
12023
Empirical study of defects dependency on software metrics using clustering approach
D Verma, S Kumar
IEEE UP Section Conference on Electrical Computer and Electronics, 1-5, 2016
12016
Performance evaluation of machine learning and deep learning approaches for sentiment analysis on COVID-19 sentiments
MBK Shrivash, D Verma, P Pandey
Tuijin Jishu/Journal of Propulsion Technology 44 (5), 4295-4311, 2023
2023
Why Big Data and Data Analytics for Smart City
S Dubey, A Mishra, DK Verma, PS Chauhan, R Nair, G Dikshit, N Gupta
2023 IEEE International Conference on Computer Vision and Machine …, 2023
2023
Natural Language Processing to Improve Optimal Customized Treatment in Clinical Decision Support Systems
S Malviya, S Dubey, DK Verma, A Sharma, R Nair, PS Chauhan
2023 IEEE International Conference on ICT in Business Industry & Government …, 2023
2023
Exploring the Molecular Diversity of SARS, Ebola, MERS, and SAR-COV-2 Viruses Using Genomics Virus Classification Algorithm: ViroGen
S Dubey, DK Verma, M Kumar
International Conference on Applied Technologies, 164-172, 2023
2023
Uncovering AI Potential Techniques for Infectious Disease: A Comprehensive Exploration of Surveying, Classifying, and Predicting Models
S Dubey, DK Verma, M Kumar
International Conference on Applied Technologies, 167-177, 2023
2023
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