Subrato Bharati

According to our database1, Subrato Bharati authored at least 31 papers between 2018 and 2022.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2022
Dementia classification using MR imaging and clinical data with voting based machine learning models.
Multim. Tools Appl., 2022

Federated learning: Applications, challenges and future directions.
Int. J. Hybrid Intell. Syst., 2022

Machine and Deep Learning for IoT Security and Privacy: Applications, Challenges, and Future Directions.
CoRR, 2022

Federated Learning: Applications, Challenges and Future Scopes.
CoRR, 2022

Deep Learning for Medical Image Registration: A Comprehensive Review.
CoRR, 2022

2021
Diagnosis of breast cancer based on modern mammography using hybrid transfer learning.
Multidimens. Syst. Signal Process., 2021

CO-ResNet: Optimized ResNet model for COVID-19 diagnosis from X-ray images.
Int. J. Hybrid Intell. Syst., 2021

Diagnosis of COVID-19 Using Machine Learning and Deep Learning: A review.
CoRR, 2021

Medical Imaging with Deep Learning for COVID- 19 Diagnosis: A Comprehensive Review.
CoRR, 2021

Artificial Neural Network for Cybersecurity: A Comprehensive Review.
CoRR, 2021

Review on the Security Threats of Internet of Things.
CoRR, 2021

Ensemble Learning for Data-Driven Diagnosis of Polycystic Ovary Syndrome.
Proceedings of the Intelligent Systems Design and Applications, 2021

Detecting Spinal Abnormalities Using Multilayer Perceptron Algorithm.
Proceedings of the Innovations in Bio-Inspired Computing and Applications, 2021

2020
Adaptive PAPR Reduction Scheme for OFDM Using SLM with the Fusion of Proposed Clipping and Filtering Technique in Order to Diminish PAPR and Signal Distortion.
Wirel. Pers. Commun., 2020

Visualization and prediction of energy consumption in smart homes.
Int. J. Hybrid Intell. Syst., 2020

Threats and Countermeasures of Cyber Security in Direct and Remote Vehicle Communication Systems.
CoRR, 2020

Artificial Neural Network Based Breast Cancer Screening: A Comprehensive Review.
CoRR, 2020

Realization of MIMO Channel Model for Spatial Diversity with Capacity and SNR Multiplexing Gains.
CoRR, 2020

Diagnosis of Breast Cancer using Hybrid Transfer Learning.
CoRR, 2020

Disease Detection from Lung X-ray Images based on Hybrid Deep Learning.
CoRR, 2020

Bit Error Rate Analysis of M-ARY PSK and M-ARY QAM Over Rician Fading Channel.
CoRR, 2020

Implementation of ASK, FSK and PSK with BER vs. SNR comparison over AWGN channel.
CoRR, 2020

Optimized NASNet for Diagnosis of COVID-19 from Lung CT Images.
Proceedings of the Intelligent Systems Design and Applications, 2020

Effectiveness of Ensemble Machine Learning Algorithms in Weather Forecasting of Bangladesh.
Proceedings of the Innovations in Bio-Inspired Computing and Applications, 2020

Effective Machine Learning Approaches for Credit Card Fraud Detection.
Proceedings of the Innovations in Bio-Inspired Computing and Applications, 2020

2019
Lung cancer recognition and prediction according to random forest ensemble and RUSBoost algorithm using LIDC data.
Int. J. Hybrid Intell. Syst., 2019

Comparative Performance Analysis of Neural Network Base Training Algorithm and Neuro-Fuzzy System with SOM for the Purpose of Prediction of the Features of Superconductors.
Proceedings of the Intelligent Systems Design and Applications, 2019

Fault Tolerance in Cloud Computing- An Algorithmic Approach.
Proceedings of the Innovations in Bio-Inspired Computing and Applications, 2019

Uplink and Downlink Spectral Efficiency Estimation for Multi Antenna MIMO User.
Proceedings of the Innovations in Bio-Inspired Computing and Applications, 2019

Comparative Performance Exploration and Prediction of Fibrosis, Malign Lymph, Metastases, Normal Lymphogram Using Machine Learning Method.
Proceedings of the Innovations in Bio-Inspired Computing and Applications, 2019

2018
Comparative Performance Analysis of Different Classification Algorithm for the Purpose of Prediction of Lung Cancer.
Proceedings of the Intelligent Systems Design and Applications, 2018


  Loading...