A Novel Clustering Method Using Enhanced Grey Wolf Optimizer and MapReduce. - Ashish K. Tripathi 001; Kapil Sharma; Manju Bala (Big Data Res., 2018)

Dynamic frequency based parallel k-bat algorithm for massive data clustering (DFBPKBA). - Ashish K. Tripathi 001; Kapil Sharma; Manju Bala (Int. J. Syst. Assur. Eng. Manag., 2018)

Parkinson Disease Detection Using Deep Neural Networks. - Shivangi; Anubhav Johri; Ashish K. Tripathi 001 (IC3, 2019)

Military Dog Based Optimizer and its Application to Fake Review. - Ashish Kumar Tripathi 001; Kapil Sharma; Manju Bala (CoRR, 2019)

Parallel Hybrid BBO Search Method for Twitter Sentiment Analysis of Large Scale Datasets Using MapReduce. - Ashish K. Tripathi 001; Kapil Sharma; Manju Bala (Int. J. Inf. Secur. Priv., 2019)

A new clustering method for the diagnosis of CoVID19 using medical images. - Himanshu Mittal; Avinash Chandra Pandey; Raju Pal; Ashish Kumar Tripathi 001 (Appl. Intell., 2021)

Gravitational search algorithm: a comprehensive analysis of recent variants. - Himanshu Mittal; Ashish Kumar Tripathi 001; Avinash Chandra Pandey; Raju Pal (Multim. Tools Appl., 2021)

A Parallel Military-Dog-Based Algorithm for Clustering Big Data in Cognitive Industrial Internet of Things. - Ashish Kumar Tripathi 001; Kapil Sharma; Manju Bala; Akshi Kumar 001; Varun G. Menon; Ali Kashif Bashir (IEEE Trans. Ind. Informatics, 2021)

A systematic review of meta-heuristic algorithms in IoT based application. - Vivek Sharma; Ashish K. Tripathi 001 (Array, 2022)

Technological revolutions in smart farming: Current trends, challenges & future directions. - Vivek Sharma; Ashish K. Tripathi 001; Himanshu Mittal (Comput. Electron. Agric., 2022)

A new intrusion detection method for cyber-physical system in emerging industrial IoT. - Himanshu Mittal; Ashish Kumar Tripathi 001; Avinash Chandra Pandey; Mohammad Dahman Alshehri; Mukesh Saraswat; Raju Pal (Comput. Commun., 2022)

CLDA-Net: A Novel Citrus Leaf Disease Attention Network for Early Identification of Leaf Diseases. - Vivek Sharma; Ashish Kumar Tripathi 001; Himanshu Mittal (ICCAE, 2023)

A N2CNN-Based Anomaly Detection Method for Cardiovascular Data in Cyber-Physical System. - Raju Pal; Ashish Kumar Tripathi 001; Avinash Chandra Pandey; Mohammad Ayoub Khan; Varun G. Menon; Himanshu Mittal (IEEE Trans. Netw. Sci. Eng., 2023)

From classical to soft computing based watermarking techniques: A comprehensive review. - Roop Singh; Mukesh Saraswat; Alaknanda Ashok; Himanshu Mittal; Ashish K. Tripathi 001; Avinash Chandra Pandey; Raju Pal (Future Gener. Comput. Syst., 2023)

A Novel Blockchain and Internet of Things-Based Food Traceability System for Smart Cities. - Ashish Kumar Tripathi 001; K. Akul Krishnan; Avinash Chandra Pandey (Wirel. Pers. Commun., 2023)

DLMC-Net: Deeper lightweight multi-class classification model for plant leaf disease detection. - Vivek Sharma; Ashish K. Tripathi 001; Himanshu Mittal (Ecol. Informatics, 2023)

Improved exponential cuckoo search method for sentiment analysis. - Avinash Chandra Pandey; Ankur Kulhari; Himanshu Mittal; Ashish K. Tripathi 001; Raju Pal (Multim. Tools Appl., 2023)

WeedGan: a novel generative adversarial network for cotton weed identification. - Vivek Sharma; Ashish Kumar Tripathi 001; Himanshu Mittal; Abhishek Parmar; Ashutosh Soni; Rahul Amarwal (Vis. Comput., 2023)

Fruit and vegetable disease detection and classification: Recent trends, challenges, and future opportunities. - Sachin Gupta 002; Ashish Kumar Tripathi 001 (Eng. Appl. Artif. Intell., 2024)

An explainable MHSA enabled deep architecture with dual-scale convolutions for methane source classification using remote sensing. - Kamakhya Bansal; Ashish K. Tripathi 001 (Environ. Model. Softw., 2024)

Dual level attention based lightweight vision transformer for streambed land use change classification using remote sensing. - Kamakhya Bansal; Ashish K. Tripathi 001 (Comput. Geosci., 2024)

RfGanNet: An efficient rainfall prediction method for India and its clustered regions using RfGan and deep convolutional neural networks. - Kamakhya Bansal; Ashish Kumar Tripathi 001; Avinash Chandra Pandey; Vivek Sharma (Expert Syst. Appl., 2024)

ClGanNet: A novel method for maize leaf disease identification using ClGan and deep CNN. - Vivek Sharma; Ashish Kumar Tripathi 001; Purva Daga; Nidhi M.; Himanshu Mittal (Signal Process. Image Commun., 2024)

A new electricity theft detection method using hybrid adaptive sampling and pipeline machine learning. - Ashish Kumar Tripathi 001; Avinash Chandra Pandey; Nikhil Sharma (Multim. Tools Appl., 2024)

A novel fuzzy clustering-based method for human activity recognition in cloud-based industrial IoT environment. - Himanshu Mittal; Ashish K. Tripathi 001; Avinash Chandra Pandey; Venu P; Varun G. Menon; Raju Pal (Wirel. Networks, 2024)

A Federated Generative Adversarial Network With SSIM-PSNR-Based Weight Aggregation for Consumer Electronics Waste. - Kamakhya Bansal; Ashish Kumar Tripathi 001; Varun G. Menon; Venki Balasubramanian (IEEE Trans. Consumer Electron., 2024)

Potcapsnet: an explainable pyramid dilated capsule network for visualization of blight diseases. - Sachin Gupta 002; Ashish Kumar Tripathi 001; Avinash Chandra Pandey (Neural Comput. Appl., 2024)

Flora-NET: Integrating dual coordinate attention with adaptive kernel based convolution network for medicinal flower identification. - Sachin Gupta 002; Ashish Kumar Tripathi 001 (Comput. Electron. Agric., 2025)

Investigating the impact of sentiments on stock market using digital proxies: Current trends, challenges, and future directions. - Tapas Gupta; Shridev Devji; Ashish Kumar Tripathi 001 (Expert Syst. Appl., 2025)

SoyaTrans: A novel transformer model for fine-grained visual classification of soybean leaf disease diagnosis. - Vivek Sharma; Ashish K. Tripathi 001; Himanshu Mittal; Lewis Nkenyereye (Expert Syst. Appl., 2025)

Pre-trained noise based unsupervised GAN for fruit disease classification in imbalanced datasets. - Sachin Gupta 002; Ashish Kumar Tripathi 001; Lewis Nkenyereye (Pattern Anal. Appl., 2025)

FlotSegNet: A lightweight attention-based 3D encoder architecture for efficient segmentation of floating river debris in multi-spectral satellite imagery. - Kamakhya Bansal; Ashish K. Tripathi 001 (Expert Syst. Appl., 2026)