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Anoop Kumar Tiwari

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2024
[j15]
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Rahul Kumar, Ashok Kumar, Karamjit Bhatia, Kottakkaran Sooppy Nisar, Siddharth Singh Chouhan, Priti Maratha, Anoop Kumar Tiwari:
Hybrid Approach of Cotton Disease Detection for Enhanced Crop Health and Yield. IEEE Access 12: 132495-132507 (2024)
[j14]
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Anoop Kumar Tiwari, Abhigyan Nath, Rakesh Kumar Pandey, Priti Maratha:
A novel intuitionistic fuzzy rough instance selection and attribute reduction with kernelized intuitionistic fuzzy C-means clustering to handle imbalanced datasets. Expert Syst. Appl. 251: 124087 (2024)
[j13]
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Pankhuri Jain, Anoop Kumar Tiwari, Tanmoy Som:
Intuitionistic fuzzy rough set model based on k-means and its application to enhance prediction of aptamer-protein interacting pairs. J. Ambient Intell. Humaniz. Comput. 15(9): 3575-3586 (2024)
[j12]
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Pankhuri Jain, Anoop Kumar Tiwari, Tanmoy Som:
Correction: Intuitionistic fuzzy rough set model based on k-means and its application to enhance prediction of aptamer-protein interacting pairs. J. Ambient Intell. Humaniz. Comput. 15(10): 3717 (2024)
[j11]
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Astha Vashistha, Anoop Kumar Tiwari:
Building Resilience in Banking Against Fraud with Hyper Ensemble Machine Learning and Anomaly Detection Strategies. SN Comput. Sci. 5(5): 556 (2024)
2023
[j10]
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  - journals/nca/JainTS23
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Pankhuri Jain, Anoop Kumar Tiwari, Tanmoy Som:
Fuzzy rough assisted missing value imputation and feature selection. Neural Comput. Appl. 35(3): 2773-2793 (2023)
2022
[j9]
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Pankhuri Jain, Anoop Kumar Tiwari, Tanmoy Som:
An intuitionistic fuzzy bireduct model and its application to cancer treatment. Comput. Ind. Eng. 168: 108124 (2022)
[j8]
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  - journals/jnca/PaulMST22
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Anal Paul, Aneesh Kumar Mishra, Shivam Shreevastava, Anoop Kumar Tiwari:
Deep Reinforcement Learning based reliable spectrum sensing under SSDF attacks in Cognitive Radio networks. J. Netw. Comput. Appl. 205: 103454 (2022)
2021
[j7]
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  - journals/soco/JainTS21
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Pankhuri Jain, Anoop Kumar Tiwari, Tanmoy Som:
Enhanced prediction of anti-tubercular peptides from sequence information using divergence measure-based intuitionistic fuzzy-rough feature selection. Soft Comput. 25(4): 3065-3086 (2021)
2020
[j6]
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Pankhuri Jain, Anoop Kumar Tiwari, Tanmoy Som:
A fitting model based intuitionistic fuzzy rough feature selection. Eng. Appl. Artif. Intell. 89: 103421 (2020)
2019
[j5]
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  - journals/jifs/TiwariSSS19
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Anoop Kumar Tiwari, Shivam Shreevastava, Karthikeyan Subbiah, Tanmoy Som:
An intuitionistic fuzzy-rough set model and its application to feature selection. J. Intell. Fuzzy Syst. 36(5): 4969-4979 (2019)
2018
[j4]
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Anoop Kumar Tiwari, Shivam Shreevastava, Tanmoy Som, Kaushal Kumar Shukla:
Tolerance-based intuitionistic fuzzy-rough set approach for attribute reduction. Expert Syst. Appl. 101: 205-212 (2018)
[j3]
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Shivam Shreevastava, Anoop Kumar Tiwari, Tanmoy Som:
Intuitionistic Fuzzy Neighborhood Rough Set Model for Feature Selection. Int. J. Fuzzy Syst. Appl. 7(2): 75-84 (2018)
[j2]
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Anoop Kumar Tiwari, Shivam Shreevastava, Kaushal Kumar Shukla, Karthikeyan Subbiah:
New approaches to intuitionistic fuzzy-rough attribute reduction. J. Intell. Fuzzy Syst. 34(5): 3385-3394 (2018)
2017
[j1]
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Anoop Kumar Tiwari, Abhigyan Nath, Karthikeyan Subbiah, Kaushal Kumar Shukla:
Enhanced Prediction for Observed Peptide Count in Protein Mass Spectrometry Data by Optimally Balancing the Training Dataset. Int. J. Pattern Recognit. Artif. Intell. 31(12): 1750040:1-1750040:15 (2017)

Conference and Workshop Papers

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2019
[c2]
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Pankhuri Jain, Anoop Kumar Tiwari, Tanmoy Som:
Enhanced Prediction of plant virus-encoded RNA silencing suppressors by incorporating Reduced Set of Sequence Features using SMOTE followed by Fuzzy-Rough Feature Selection Technique. ICCCNT 2019: 1-7
2015
[c1]
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Anoop Kumar Tiwari, Abhigyan Nath, Karthikeyan Subbiah, Kaushal Kumar Shukla:
Effect of varying degree of resampling on prediction accuracy for observed peptide count in protein mass spectrometry data. ICNC 2015: 691-695

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