Ashish K. Tripathi
Orcid: 0000-0003-1218-0515Affiliations:
- Malaviya National Institute of Technology, Jaipur, India
According to our database1,
Ashish K. Tripathi
authored at least 32 papers
between 2018 and 2026.
Collaborative distances:
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Bibliography
2026
FlotSegNet: A lightweight attention-based 3D encoder architecture for efficient segmentation of floating river debris in multi-spectral satellite imagery.
Expert Syst. Appl., 2026
2025
Pre-trained noise based unsupervised GAN for fruit disease classification in imbalanced datasets.
Pattern Anal. Appl., June, 2025
SoyaTrans: A novel transformer model for fine-grained visual classification of soybean leaf disease diagnosis.
Expert Syst. Appl., 2025
Investigating the impact of sentiments on stock market using digital proxies: Current trends, challenges, and future directions.
Expert Syst. Appl., 2025
Flora-NET: Integrating dual coordinate attention with adaptive kernel based convolution network for medicinal flower identification.
Comput. Electron. Agric., 2025
2024
Potcapsnet: an explainable pyramid dilated capsule network for visualization of blight diseases.
Neural Comput. Appl., December, 2024
A Federated Generative Adversarial Network With SSIM-PSNR-Based Weight Aggregation for Consumer Electronics Waste.
IEEE Trans. Consumer Electron., August, 2024
A novel fuzzy clustering-based method for human activity recognition in cloud-based industrial IoT environment.
Wirel. Networks, July, 2024
A new electricity theft detection method using hybrid adaptive sampling and pipeline machine learning.
Multim. Tools Appl., May, 2024
ClGanNet: A novel method for maize leaf disease identification using ClGan and deep CNN.
Signal Process. Image Commun., January, 2024
RfGanNet: An efficient rainfall prediction method for India and its clustered regions using RfGan and deep convolutional neural networks.
Expert Syst. Appl., January, 2024
Dual level attention based lightweight vision transformer for streambed land use change classification using remote sensing.
Comput. Geosci., 2024
An explainable MHSA enabled deep architecture with dual-scale convolutions for methane source classification using remote sensing.
Environ. Model. Softw., 2024
Fruit and vegetable disease detection and classification: Recent trends, challenges, and future opportunities.
Eng. Appl. Artif. Intell., 2024
2023
Vis. Comput., December, 2023
Multim. Tools Appl., July, 2023
DLMC-Net: Deeper lightweight multi-class classification model for plant leaf disease detection.
Ecol. Informatics, July, 2023
A Novel Blockchain and Internet of Things-Based Food Traceability System for Smart Cities.
Wirel. Pers. Commun., April, 2023
From classical to soft computing based watermarking techniques: A comprehensive review.
Future Gener. Comput. Syst., April, 2023
A N2CNN-Based Anomaly Detection Method for Cardiovascular Data in Cyber-Physical System.
IEEE Trans. Netw. Sci. Eng., 2023
CLDA-Net: A Novel Citrus Leaf Disease Attention Network for Early Identification of Leaf Diseases.
Proceedings of the 15th International Conference on Computer and Automation Engineering, 2023
2022
A new intrusion detection method for cyber-physical system in emerging industrial IoT.
Comput. Commun., 2022
Technological revolutions in smart farming: Current trends, challenges & future directions.
Comput. Electron. Agric., 2022
Array, 2022
2021
A Parallel Military-Dog-Based Algorithm for Clustering Big Data in Cognitive Industrial Internet of Things.
IEEE Trans. Ind. Informatics, 2021
Multim. Tools Appl., 2021
Appl. Intell., 2021
2019
Parallel Hybrid BBO Search Method for Twitter Sentiment Analysis of Large Scale Datasets Using MapReduce.
Int. J. Inf. Secur. Priv., 2019
Proceedings of the 2019 Twelfth International Conference on Contemporary Computing, 2019
2018
Dynamic frequency based parallel k-bat algorithm for massive data clustering (DFBPKBA).
Int. J. Syst. Assur. Eng. Manag., 2018
Big Data Res., 2018