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ORCIDRakesh Ranjan Kumar
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2020 – today
- 2024
[j12]Mhamad Bakro
, Rakesh Ranjan Kumar, Mohammad Husain, Zubair Ashraf, Arshad Ali, Syed Irfan Yaqoob, Mohammad Nadeem Ahmed, Nikhat Parveen:
Building a Cloud-IDS by Hybrid Bio-Inspired Feature Selection Algorithms Along With Random Forest Model. IEEE Access 12: 8846-8874 (2024)- [j11]Debasish Pradhan, Debendra Muduli, Abu Taha Zamani, Syed Irfan Yaqoob, Sultan Munadi Alanazi, Rakesh Ranjan Kumar, Nikhat Parveen, Mohammad Shameem:
Refined Software Defect Prediction Using Enhanced JAYA Optimization and Extreme Learning Machine. IEEE Access 12: 141559-141579 (2024) - [j10]Santosh Kumar Sharma, Debendra Muduli, Rojalina Priyadarshini, Rakesh Ranjan Kumar, Abhinav Kumar, Jitesh Pradhan:
An evolutionary supply chain management service model based on deep learning features for automated glaucoma detection using fundus images. Eng. Appl. Artif. Intell. 128: 107449 (2024) - 2023
- [j9]Mhamad Bakro, Rakesh Ranjan Kumar, Amerah A. Alabrah, Zubair Ashraf, Mohammad Nadeem Ahmed, Mohammad Shameem, Ahmed Abdelsalam:
An Improved Design for a Cloud Intrusion Detection System Using Hybrid Features Selection Approach With ML Classifier. IEEE Access 11: 64228-64247 (2023) - [j8]Abhinav Tomar, Rakesh Ranjan Kumar, Indrajeet Gupta:
Decision making for cloud service selection: a novel and hybrid MCDM approach. Clust. Comput. 26(6): 3869-3887 (2023) - 2022
- [j7]Rakesh Ranjan Kumar, Mohammad Shameem, Chiranjeev Kumar:
A computational framework for ranking prediction of cloud services under fuzzy environment. Enterp. Inf. Syst. 16(1): 167-187 (2022) - [c5]Rakesh Ranjan Kumar, Andreas Hänsel, Mónica Brusatori Far, Lars Nielsen, Niklas Hedegaard Arent, Nicolas Volet, Martijn J. R. Heck:
Sub-10 kHz Intrinsic Linewidth Extended Cavity DBR laser on InP Generic Foundry Platform. OFC 2022: 1-3 - 2021
- [j6]Rakesh Ranjan Kumar, Binita Kumari, Chiranjeev Kumar:
CCS-OSSR: A framework based on Hybrid MCDM for Optimal Service Selection and Ranking of Cloud Computing Services. Clust. Comput. 24(2): 867-883 (2021) - 2020
- [j5]Mohammad Shameem, Rakesh Ranjan Kumar, Mohammad Nadeem, Arif Ali Khan:
Taxonomical classification of barriers for scaling agile methods in global software development environment using fuzzy analytic hierarchy process. Appl. Soft Comput. 90: 106122 (2020)
2010 – 2019
- 2019
- [j4]Arif Ali Khan, Mohammad Shameem, Rakesh Ranjan Kumar, Shahid Hussain, Xuefeng Yan:
Fuzzy AHP based prioritization and taxonomy of software process improvement success factors in global software development. Appl. Soft Comput. 83 (2019) - 2018
- [j3]Rakesh Ranjan Kumar, Chiranjeev Kumar:
A Multi Criteria Decision Making Method for Cloud Service Selection and Ranking. Int. J. Ambient Comput. Intell. 9(3): 1-14 (2018) - [j2]Mohammad Shameem, Rakesh Ranjan Kumar, Chiranjeev Kumar, Bibhas Chandra, Arif Ali Khan:
Prioritizing challenges of agile process in distributed software development environment using analytic hierarchy process. J. Softw. Evol. Process. 30(11) (2018) - [c4]Rashda Khanam, Rakesh Ranjan Kumar, Binita Kumari:
A novel approach for cloud service composition ensuring global QoS constraints optimization. ICACCI 2018: 1695-1701 - [c3]Rashda Khanam, Rakesh Ranjan Kumar, Chiranjeev Kumar:
QoS based cloud service composition with optimal set of services using PSO. RAIT 2018: 1-6 - 2017
- [j1]Rakesh Ranjan Kumar, Siba Mishra, Chiranjeev Kumar:
Prioritizing the solution of cloud service selection using integrated MCDM methods under Fuzzy environment. J. Supercomput. 73(11): 4652-4682 (2017) - [c2]Rakesh Ranjan Kumar, Chiranjeev Kumar:
Designing an efficient methodology based on Entropy-TOPSIS for evaluating efficiency of cloud services. ICCCT 2017: 117-122 - 2016
- [c1]Rakesh Ranjan Kumar, Chiranjeev Kumar:
An evaluation system for cloud service selection using fuzzy AHP. ICIIS 2016: 821-826
Coauthor Index
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