Rupesh Kumar Dewang

According to our database, Rupesh Kumar Dewang authored at least 17 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

CIPF: Identifying fake profiles on social media using a CNN-based communal influence propagation framework.

Arvind Mewada, Rupesh Kumar Dewang

Multim. Tools Appl., March, 2024

NRWalk2Vec-HIN: spammer group detection based on heterogeneous information network embedding over social media.

Arvind Mewada, Rupesh Kumar Dewang

J. Supercomput., January, 2024

2023

A comprehensive survey of various methods in opinion spam detection.

Arvind Mewada, Rupesh Kumar Dewang

Multim. Tools Appl., April, 2023

Early straggler tasks detection by recurrent neural network in a heterogeneous environment.

Kamalakant Laxman Bawankule, Rupesh Kumar Dewang, Anil Kumar Singh

Appl. Intell., April, 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., March, 2023

SentiBERT: A Novel Approach for Fake Review Detection Incorporating Sentiment Features with Contextual Features.

Arvind Mewada, Rupesh Kumar Dewang, Paritosh Goldar, Sushil Kumar Maurya

Proceedings of the 2023 Fifteenth International Conference on Contemporary Computing, 2023

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

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

J. King Saud Univ. Comput. Inf. Sci., 2022

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

Clust. Comput., 2022

2021

Historical data based approach for straggler avoidance in a heterogeneous Hadoop cluster.

Kamalakant Laxman Bawankule, Rupesh Kumar Dewang, Anil Kumar Singh

J. Ambient Intell. Humaniz. Comput., 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

Int. J. Distributed Syst. Technol., 2021

Load Balancing Approach for a MapReduce Job Running on a Heterogeneous Hadoop Cluster.

Kamalakant Laxman Bawankule, Rupesh Kumar Dewang, Anil Kumar Singh

Proceedings of the Distributed Computing and Internet Technology, 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

Proceedings of the Hybrid Intelligent Systems, 2021

A Machine Learning-Based Privacy-Preserving Model for COVID-19 Patient using Differential Privacy.

Rupesh Kumar Dewang, Aditya Raven, Arvind Mewada

Proceedings of the 19th OITS International Conference on Information Technology, 2021

2018

State-of-art approaches for review spammer detection: a survey.

Rupesh Kumar Dewang, Anil Kumar Singh

J. Intell. Inf. Syst., 2018

2016

Finding of Review Spam through "Corleone, Review Genre, Writing Style and Review Text Detail Features".

Rupesh Kumar Dewang, Pushpendra Bahadur Singh, Anil Kumar Singh

ICTCS, 2016

2015

Identification of Fake Reviews Using New Set of Lexical and Syntactic Features.

Rupesh Kumar Dewang, Anil Kumar Singh

Proceedings of the Sixth International Conference on Computer and Communication Technology 2015, 2015