Rajesh Dwivedi

According to our database, Rajesh Dwivedi authored at least 15 papers between 2018 and 2026.

Collaborative distances:

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

2026

An unsupervised hybrid feature selection approach using scalable laplacian score and binary particle swarm optimization.

Abhishek Tripathi, Aruna Tiwari, Narendra S. Chaudhari, Milind B. Ratnaparkhe, Rajesh Dwivedi

Appl. Intell., June, 2026

Bid-Swires and Deep-AttCTrans: A spatio-temporal attention-based framework for detecting deepfake videos.

Dhiran Kumar Mahto, Roshan Singh, Rajesh Dwivedi, Abhinav Kumar

Signal Image Video Process., May, 2026

AEMT-ZM: absolute embedding enclosed modified transformers with self-attention based zero-watermarking for securing medical data.

Dhiran Kumar Mahto, Rajesh Dwivedi

J. Supercomput., April, 2026

2025

Scalable alignment-free feature extraction approach for genome data and their cluster analysis.

Abhishek Tripathi, Aruna Tiwari, Narendra S. Chaudhari, Milind B. Ratnaparkhe, Neha Bharill, Preeti Jha, Rajesh Dwivedi

Multim. Tools Appl., October, 2025

A scalable method for extracting features using a complex network from SNP sequences and clustering using the scalable Max of Min algorithm.

Achint Kumar Kansal, Aruna Tiwari, Milind B. Ratnaparkhe, Rajesh Dwivedi, Preeti Jha

Soft Comput., April, 2025

A novel chemical property-based, alignment-free scalable feature extraction method for genomic data clustering.

Rajesh Dwivedi, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Saurabh Kumar Singh, Abhishek Tripathi

Comput. Electr. Eng., 2025

2024

A taxonomy of unsupervised feature selection methods including their pros, cons, and challenges.

Rajesh Dwivedi, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Alok Kumar Tiwari

J. Supercomput., November, 2024

An incremental clustering method based on multiple objectives for dynamic data analysis.

Rajesh Dwivedi, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Rishabh Soni, Rahul Mahbubani, Saket Kumar

Multim. Tools Appl., April, 2024

A novel apache spark-based 14-dimensional scalable feature extraction approach for the clustering of genomics data.

Rajesh Dwivedi, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Parul Mogre, Pranjal Gadge, Kethavath Jagadeesh

J. Supercomput., February, 2024

2023

Scalable Kernelized Deep Fuzzy Clustering Algorithms for Big Data.

Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Om Prakash Patel, Anjali Gupta, Deepali Sukhija, Deepika Sukhija, Rajesh Dwivedi

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

A Novel Feature Extraction Approach for the Clustering and Classification of Genome Sequences.

Rajesh Dwivedi, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Abhishek Tripathi, Preeti Jha

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

2022

A Hybrid Feature Selection Approach for Data Clustering Based on Ant Colony Optimization.

Rajesh Dwivedi, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe

Proceedings of the Neural Information Processing - 29th International Conference, 2022

Challenges of Facial Micro-Expression Detection and Recognition: A Survey.

Rajesh Dwivedi, Deepak Kumar

Proceedings of the Neural Information Processing - 29th International Conference, 2022

2019

Hybrid Fuzzy C-Means Using Bat Optimization and Maxi-Min Distance Classifier.

Rahul Kumar, Rajesh Dwivedi, Ebenezer Jangam

Proceedings of the Advances in Computing and Data Sciences, 2019

2018

Dimensionality Reduction Technique on SIFT Feature Vector for Content Based Image Retrival.

Mukul Kirti Verma, Rajesh Dwivedi, Ajay Kumar Mallick, Ebenezer Jangam

Proceedings of the Recent Trends in Image Processing and Pattern Recognition, 2018