G. R. Bamnote

According to our database, G. R. Bamnote authored at least 8 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of seven.
• Erdős number of seven.

2025

An Accurate Stock Price Prediction Using Deep Recurrent Neural Network with Search and Rescue Approach.

Parag P. Kadu, G. R. Bamnote

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2025

Natural disaster prediction optimized light gradient boosting enabled hybrid convolutional neural network and bidirectional long short-term memory.

Deshmukh Kalyani H., Bamnote Gajendra R.

Intell. Decis. Technol., 2025

2024

A Novel Approach for Drought Monitoring and Evaluation using Time Series Analysis and Deep Learning.

Deshmukh Kalyani H., Bamnote Gajendra R., Pratik K. Agrawal

Int. J. Perform. Eng., 2024

2016

Prediction of next Mobile Access Gateway by Tracking Locations of Mobile Node.

Nitesh M. Tarbani, A. S. Alvi, G. R. Bamnote, S. V. Pattalwar

ICTCS, 2016

A Hybrid Clustering Based Collaborative Filtering (CF) Approach.

Sachin Santoshkumar Agrawal, Gajendra R. Bamnote, Shrikant L. Satarkar

ICTCS, 2016

Enhancement of Hybrid Tagger by using Rule Based Approach.

Pratik K. Agrawal, Abrar S. Alvi, G. R. Bamnote

ICTCS, 2016

2014

Design of Classifier for Detection of Diabetes Mellitus Using Genetic Programming.

Madhavi Pradhan, G. R. Bamnote

Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014, 2014

Efficient Binary Classifier for Prediction of Diabetes Using Data Preprocessing and Support Vector Machine.

Madhavi Pradhan, G. R. Bamnote

Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014, 2014