Tanoy Debnath

According to our database, Tanoy Debnath authored at least 7 papers between 2019 and 2024.

Collaborative distances:

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

2024

Blockchain-based AI Methods for Managing Industrial IoT: Recent Developments, Integration Challenges and Opportunities.

Anichur Rahman, Dipanjali Kundu, Tanoy Debnath, Muaz Rahman, Airin Afroj Aishi, Jahidul Islam

CoRR, 2024

SMARD: A Cost Effective Smart Agro Development Technology for Crops Disease Classification.

Tanoy Debnath, Shadman Wadith, Anichur Rahman

CoRR, 2024

Mondrian inductive conformal classifier for the quantitative structure-odor relationship to estimate prediction confidence.

Tanoy Debnath, Kenji Oishi, Akio Nakabayashi

Proceedings of the IEEE International Symposium on Olfaction and Electronic Nose, 2024

2023

Federated learning-based AI approaches in smart healthcare: concepts, taxonomies, challenges and open issues.

Anichur Rahman, Md. Sazzad Hossain, Ghulam Muhammad, Dipanjali Kundu, Tanoy Debnath, M. Sohel Rahman, Md. Saikat Islam Khan, Prayag Tiwari, Shahab S. Band

Clust. Comput., August, 2023

On the ICN-IoT with federated learning integration of communication: Concepts, security-privacy issues, applications, and future perspectives.

Anichur Rahman, Kamrul Hasan, Dipanjali Kundu, Md. Jahidul Islam, Tanoy Debnath, Shahab S. Band, Neeraj Kumar

Future Gener. Comput. Syst., 2023

Transfer Learning-Assisted DementiaNet: A Four Layer Deep CNN for Accurate Alzheimer's Disease Detection from MRI Images.

Sultana Umme Habiba, Tanoy Debnath, Md. Khairul Islam, Lutfun Nahar, Mohammad Shahadat Hossain, Nanziba Basnin, Karl Andersson

Proceedings of the Brain Informatics - 16th International Conference, 2023

2019

Prediction of Odor Descriptor Group of Essential Oils from Mass Spectra using Machine Learning.

Tanoy Debnath, Dani Prasetyawan, Takamichi Nakamoto

Proceedings of the IEEE International Symposium on Olfaction and Electronic Nose, 2019