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K. K. Chaturvedi
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- affiliation: ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India
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2020 – today
- 2024
- [j11]Deepesh Kumar, Sureshkumar Venkadesan, Ratna Prabha, Shbana Begam, Bipratip Dutta, Dwijesh Chandra Mishra, K. K. Chaturvedi, Girish Kumar Jha, Amolkumar U. Solanke, Amitha Mithra S. V.:
RiceMetaSys: Drought-miR, a one-stop solution for drought responsive miRNAs-mRNA module in rice. Database J. Biol. Databases Curation 2024 (2024) - [j10]S. Lal Gayathri, Mukesh Bhakat, Tushar Kumar Mohanty, Krishna Kumar Chaturvedi, Rajeev Ranjan Kumar, Anurag Gupta, Sanjeev Kumar:
Udder thermogram-based deep learning approach for mastitis detection in Murrah buffaloes. Comput. Electron. Agric. 220: 108906 (2024) - 2021
- [j9]Ulavappa B. Angadi, Krishna Kumar Chaturvedi, Sudhir Srivastava, Anil Rai:
A Novel Way of Comparing Protein 3D Structure Using Graph Partitioning Approach. IEEE ACM Trans. Comput. Biol. Bioinform. 18(4): 1361-1368 (2021)
2010 – 2019
- 2019
- [j8]V. Sureshkumar, Bipratip Dutta, Vishesh Kumar, G. Prakash, Dwijesh Chandra Mishra, K. K. Chaturvedi, Anil Rai, Amitha Mithra S. V., Amolkumar U. Solanke:
RiceMetaSysB: a database of blast and bacterial blight responsive genes in rice and its utilization in identifying key blast-resistant WRKY genes. Database J. Biol. Databases Curation 2019: baz015 (2019) - [j7]Neeraj Budhlakoti, Dwijesh Chandra Mishra, Anil Rai, Shashi Bhushan Lal, Krishna Kumar Chaturvedi, Rajeev Ranjan Kumar:
A Comparative Study of Single-Trait and Multi-Trait Genomic Selection. J. Comput. Biol. 26(10): 1100-1112 (2019) - 2017
- [c7]V. B. Singh, K. K. Chaturvedi, Sujata Khatri, Meera Sharma:
Complexity of the Code Changes and Issues Dependent Approach to Determine the Release Time of Software Product. ICCSA (5) 2017: 519-529 - 2016
- [j6]Sudhir Srivastava, Shashi Bhushan Lal, Dwijesh Chandra Mishra, Ulavappa B. Angadi, K. K. Chaturvedi, Shesh N. Rai, Anil Rai:
An efficient algorithm for protein structure comparison using elastic shape analysis. Algorithms Mol. Biol. 11: 27 (2016) - 2015
- [j5]V. B. Singh, K. K. Chaturvedi, Sunil Kumar Khatri, Vijay Kumar:
Bug prediction modeling using complexity of code changes. Int. J. Syst. Assur. Eng. Manag. 6(1): 44-60 (2015) - 2014
- [j4]Naveen Sharma, Mohammad Samir Farooqi, Krishna Kumar Chaturvedi, Shashi Bhushan Lal, Monendra Grover, Anil Rai, Pankaj Pandey:
The Halophile Protein Database. Database J. Biol. Databases Curation 2014 (2014) - [j3]K. K. Chaturvedi, P. K. Kapur, Sameer Anand, V. B. Singh:
Predicting the complexity of code changes using entropy based measures. Int. J. Syst. Assur. Eng. Manag. 5(2): 155-164 (2014) - 2013
- [j2]K. K. Chaturvedi, V. B. Singh:
Bug prediction using entropy-based measures. Int. J. Knowl. Eng. Data Min. 2(4): 266-291 (2013) - [c6]K. K. Chaturvedi, Punam Bedi, Sanjay Misra, V. B. Singh:
An Empirical Validation of the Complexity of Code Changes and Bugs in Predicting the Release Time of Open Source Software. CSE 2013: 1201-1206 - [c5]K. K. Chaturvedi, V. B. Singh, Prashast Singh:
Tools in Mining Software Repositories. ICCSA (6) 2013: 89-98 - [c4]V. B. Singh, K. K. Chaturvedi:
Improving the Quality of Software by Quantifying the Code Change Metric and Predicting the Bugs. ICCSA (2) 2013: 408-426 - 2012
- [j1]K. K. Chaturvedi, V. B. Singh:
An Empirical Comparison of Machine Learning Techniques in Predicting the Bug Severity of Open and Closed Source Projects. Int. J. Open Source Softw. Process. 4(2): 32-59 (2012) - [c3]Meera Sharma, Punam Bedi, K. K. Chaturvedi, V. B. Singh:
Predicting the priority of a reported bug using machine learning techniques and cross project validation. ISDA 2012: 539-545 - [c2]V. B. Singh, K. K. Chaturvedi:
Entropy based bug prediction using support vector regression. ISDA 2012: 746-751
2000 – 2009
- 2007
- [c1]S. N. Islam, K. K. Chaturvedi, Hari Om Agarwal, M. S. Farooqi, Kirti Sharma, Adesh K. Sharma, Randhir Singh, R. K. Sharma, H. S. Sikarwar:
Knowledge Engineering for an Expert System on Wheat Crop Management. IICAI 2007: 1636-1647
Coauthor Index
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