Anil V. Turukmane

Orcid: 0000-0003-4284-7464

According to our database1, Anil V. Turukmane authored at least 13 papers between 2023 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Decentralized harmony: innovating healthcare data sharing through cross-chain synchronization with fabric Ethereum and IPFS.
Peer Peer Netw. Appl., May, 2026

A secured cryptographic approach with extreme gradient boosting model for data aggregation and routing in WSN.
J. Inf. Secur. Appl., 2026

2025
Interoperable blockchain network for healthcare data using Fabric, Ethereum and IPFS.
Discov. Artif. Intell., December, 2025

Modified MobileNetV2 transfer learning model to detect road potholes.
PeerJ Comput. Sci., 2025

2024
M-MultiSVM: An efficient feature selection assisted network intrusion detection system using machine learning.
Comput. Secur., February, 2024

Dugat-LSTM: Deep learning based network intrusion detection system using chaotic optimization strategy.
Expert Syst. Appl., 2024

Improving migration forecasting for transitory foreign tourists using an Ensemble DNN-LSTM model.
Entertain. Comput., 2024

Cybersecurity in Healthcare: IOT Security for Medical Devices.
Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

2023
Forecasting the IoT-based cyber threats using the hybrid forage dependent ensemble classifier.
Concurr. Comput. Pract. Exp., January, 2023

Reinforced Hybrid Graph Transformer for Medical Recommendations.
EAI Endorsed Trans. Pervasive Health Technol., 2023

Various Active Learning Strategies Analysis in Image Labeling: Maximizing Performance with Minimum Labeled Data.
Proceedings of the Recent Trends in Image Processing and Pattern Recognition, 2023

Fake News Detection Using Transfer Learning.
Proceedings of the Recent Trends in Image Processing and Pattern Recognition, 2023

Identification of Brain Diseases using Image Classification: A Deep Learning Approach.
Proceedings of the International Conference on Machine Learning and Data Engineering, 2023


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