Identification of Fake Reviews Using New Set of Lexical and Syntactic Features. - Rupesh Kumar Dewang; Anil Kumar Singh 002 (ICCCT, 2015)

Finding of Review Spam through "Corleone, Review Genre, Writing Style and Review Text Detail Features". - Rupesh Kumar Dewang; Pushpendra Bahadur Singh; Anil Kumar Singh 002 (ICTCS, 2016)

State-of-art approaches for review spammer detection: a survey. - Rupesh Kumar Dewang; Anil Kumar Singh 002 (J. Intell. Inf. Syst., 2018)

A Machine Learning-Based Privacy-Preserving Model for COVID-19 Patient using Differential Privacy. - Rupesh Kumar Dewang; Aditya Raven; Arvind Mewada (OCIT, 2021)

AutIS: Artificial Intelligent Based Automated Interviewing System. - Rupesh Kumar Dewang; Arpit Gupta; Anisha Kumari; Ritik Raj; Akanksha Gupta; Raj Nath Shah; Tanmay Jaiswal; Arvind Mewada (HIS, 2021)

Load Balancing Approach for a MapReduce Job Running on a Heterogeneous Hadoop Cluster. - Kamalakant Laxman Bawankule; Rupesh Kumar Dewang; Anil Kumar Singh 002 (ICDCIT, 2021)

Performance Analysis of Hadoop YARN Job Schedulers in a Multi-Tenant Environment on HiBench Benchmark Suite. - Kamalakant Laxman Bawankule; Rupesh Kumar Dewang; Anil Kumar Singh 002 (Int. J. Distributed Syst. Technol., 2021)

Historical data based approach for straggler avoidance in a heterogeneous Hadoop cluster. - Kamalakant Laxman Bawankule; Rupesh Kumar Dewang; Anil Kumar Singh 002 (J. Ambient Intell. Humaniz. Comput., 2021)

Historical data based approach to mitigate stragglers from the Reduce phase of MapReduce in a heterogeneous Hadoop cluster. - Kamalakant Laxman Bawankule; Rupesh Kumar Dewang; Anil Kumar Singh 002 (Clust. Comput., 2022)

A classification framework for straggler mitigation and management in a heterogeneous Hadoop cluster: A state-of-art survey. - Kamalakant Laxman Bawankule; Rupesh Kumar Dewang; Anil Kumar Singh 002 (J. King Saud Univ. Comput. Inf. Sci., 2022)

Research on false review detection Methods: A state-of-the-art review. - Arvind Mewada; Rupesh Kumar Dewang (J. King Saud Univ. Comput. Inf. Sci., 2022)

SentiBERT: A Novel Approach for Fake Review Detection Incorporating Sentiment Features with Contextual Features. - Arvind Mewada; Rupesh Kumar Dewang; Paritosh Goldar; Sushil Kumar Maurya (IC3, 2023)

SA-ASBA: a hybrid model for aspect-based sentiment analysis using synthetic attention in pre-trained language BERT model with extreme gradient boosting. - Arvind Mewada; Rupesh Kumar Dewang (J. Supercomput., 2023)

Early straggler tasks detection by recurrent neural network in a heterogeneous environment. - Kamalakant Laxman Bawankule; Rupesh Kumar Dewang; Anil Kumar Singh 002 (Appl. Intell., 2023)

A comprehensive survey of various methods in opinion spam detection. - Arvind Mewada; Rupesh Kumar Dewang (Multim. Tools Appl., 2023)

Handling imbalance dataset issue in insider threat detection using machine learning methods. - Ayshwarya Jaiswal; Pragya Dwivedi; Rupesh Kumar Dewang (Comput. Electr. Eng., 2024)

NRWalk2Vec-HIN: spammer group detection based on heterogeneous information network embedding over social media. - Arvind Mewada; Rupesh Kumar Dewang (J. Supercomput., 2024)

CIPF: Identifying fake profiles on social media using a CNN-based communal influence propagation framework. - Arvind Mewada; Rupesh Kumar Dewang (Multim. Tools Appl., 2024)

Data secure application: an application that allows developers to store user data securely using blockchain and IPFS. - Rupesh Kumar Dewang; Mahendra Pratap Yadav; Surbhit Awasthi; Om Raj; Arvind Mewada; Kamalakant Laxman Bawankule (Multim. Tools Appl., 2024)

SUH-AIFRD: A self-training-based hybrid approach for individual fake reviewer detection. - Arvind Mewada; Rupesh Kumar Dewang (Multim. Tools Appl., 2024)

Machine learning approaches to detect, prevent and mitigate malicious insider threats: State-of-the-art review. - Ayshwarya Jaiswal; Pragya Dwivedi; Rupesh Kumar Dewang (Multim. Tools Appl., 2025)