Arvind Mewada

According to our database, Arvind Mewada authored at least 10 papers between 2021 and 2024.

Collaborative distances:

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

2024

SUH-AIFRD: A self-training-based hybrid approach for individual fake reviewer detection.

Arvind Mewada, Rupesh Kumar Dewang

Multim. Tools Appl., August, 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., May, 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

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

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