Kapil Kumar

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

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Publications

2025
[j21]
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Ritu, Tarun Kumar, Jahnvi, Kapil Kumar, Kailash Dhanuk, Anirudh Kumar Bhargava, Sanjay Kumar Tyagi, Mukesh Kumar Sharma:
Score Function Algorithmic Approach in Optimizing Dual Hesitant Fuzzy Multiobjective Transportation Models. Adv. Fuzzy Syst. 2025(1) (2025)
[j20]
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Kapil Kumar, Manju Khari:
Intrusion detection system based on federated learning using layer-based privacy obfuscation. Clust. Comput. 28(6): 413 (2025)
[j19]
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Kapil Kumar, Manju Khari:
Federated active meta-learning with blockchain for zero-day attack detection in industrial IoT. Peer Peer Netw. Appl. 18(4): 199 (2025)
2024
[j17]
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Anita Kumari, Kapil Kumar, Indrajeet Kumar:
Bayesian and classical inference in Maxwell distribution under adaptive progressively Type-II censored data. Int. J. Syst. Assur. Eng. Manag. 15(3): 1015-1036 (2024)
[j16]
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Kapil Kumar, Shrawan Kumar, Renu Garg, Indrajeet Kumar:
Reliability estimation for inverse Pareto lifetime model based on unified hybrid censored data. Int. J. Syst. Assur. Eng. Manag. 15(6): 2473-2482 (2024)
[c12]
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Sanjeev Kumar, Saurabh Bharti, Rajiv Singh, Kapil Kumar, Manju Khari:
Adversarial Attack Detection in Intrusion Detection System Using Machine Learning. IHCI (1) 2024: 426-434
2023
[j14]
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Arun Kumar Yadav, Suraj Kumar, Dipesh Kumar, Lalit Kumar, Kapil Kumar, Sandeep Kumar Maurya, Mohit Kumar, Divakar Yadav:
Fake News Detection Using Hybrid Deep Learning Method. SN Comput. Sci. 4(6): 845 (2023)
2022
[j11]
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Kapil Kumar, Arvind Kumar, Vimal Kumar, Sunil Kumar:
A Hybrid Classification Technique for Enhancing the Effectiveness of Intrusion Detection Systems Using Machine Learning. Int. J. Organ. Collect. Intell. 12(1): 1-18 (2022)
[j10]
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Indrajeet Kumar, Kapil Kumar:
On estimation of P(V<U) for inverse Pareto distribution under progressively censored data. Int. J. Syst. Assur. Eng. Manag. 13(1): 189-202 (2022)
2021
[j9]
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Kapil Kumar, Shyla, Vishal Bhatnagar:
Credit Card Fraud Transaction Detection System Using Neural Network-Based Sequence Classification Technique. Int. J. Open Source Softw. Process. 12(1): 21-40 (2021)
2019
[c10]
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Kapil Kumar, Arindam Mondal, Gaurav Gupta:
Watch360: A Device to Enable and Detect Tilt, Translation and Rotation of a Watch Bezel. CCNC 2019: 1-6
[c9]
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Anirban Sen, Debanjan Ghatak, Kapil Kumar, Gurjeet Khanuja, Deepak Bansal, Mehak Gupta, Kumari Rekha, Saloni Bhogale, Priyamvada Trivedi, Aaditeshwar Seth:
Studying the discourse on economic policies in India using mass media, social media, and the parliamentary question hour data. COMPASS 2019: 234-247
2017
[j4]
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Kapil Kumar, Renu Garg, Hare Krishna:
Nakagami distribution as a reliability model under progressive censoring. Int. J. Syst. Assur. Eng. Manag. 8(1): 109-122 (2017)
2015
[j3]
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Kapil Kumar, Hare Krishna, Renu Garg:
Estimation of P(Y < X) in Lindley distribution using progressively first failure censoring. Int. J. Syst. Assur. Eng. Manag. 6(3): 330-341 (2015)
2011
[j1]
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Hare Krishna, Kapil Kumar:
Reliability estimation in Lindley distribution with progressively type II right censored sample. Math. Comput. Simul. 82(2): 281-294 (2011)

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