activity
20202023
most citedHybrid Deep Learning for Detecting Lung Diseases from X-ray Images

400 citations · 1.3k across the 15 of their papers we have counts for

collaborators

15 papers

cs.LG2023★ 201 cited

A Review on Explainable Artificial Intelligence for Healthcare: Why, How, and When?

Subrato Bharati, M. Rubaiyat Hossain Mondal, Prajoy Podder

Artificial intelligence (AI) models are increasingly finding applications in the field of medicine. Concerns have been raised about the explainability of the decisions that are mad…

cs.CR2022★ 89 cited

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

Subrato Bharati, Prajoy Podder

The integration of the Internet of Things (IoT) connects a number of intelligent devices with a minimum of human interference that can interact with one another. IoT is rapidly eme…

cs.LG2022★ 106 cited

Federated learning: Applications, challenges and future directions

Subrato Bharati, M. Rubaiyat Hossain Mondal, Prajoy Podder +1

Federated learning (FL) is a system in which a central aggregator coordinates the efforts of multiple clients to solve machine learning problems. This setting allows training data…

eess.IV2022★ 23 cited

Deep Learning for Medical Image Registration: A Comprehensive Review

Subrato Bharati, M. Rubaiyat Hossain Mondal, Prajoy Podder +1

Image registration is a critical component in the applications of various medical image analyses. In recent years, there has been a tremendous surge in the development of deep lear…

eess.IV2021★ 63 cited

Diagnosis of COVID-19 Using Machine Learning and Deep Learning: A review

M. Rubaiyat Hossain Mondal, Subrato Bharati, Prajoy Podder

Background: This paper provides a systematic review of the application of Artificial Intelligence (AI) in the form of Machine Learning (ML) and Deep Learning (DL) techniques in fig…

eess.IV2021★ 33 cited

Medical Imaging with Deep Learning for COVID- 19 Diagnosis: A Comprehensive Review

Subrato Bharati, Prajoy Podder, M. Rubaiyat Hossain Mondal +1

The outbreak of novel coronavirus disease (COVID- 19) has claimed millions of lives and has affected all aspects of human life. This paper focuses on the application of deep learni…

cs.CR2021★ 2 cited

Artificial Neural Network for Cybersecurity: A Comprehensive Review

Prajoy Podder, Subrato Bharati, M. Rubaiyat Hossain Mondal +2

Cybersecurity is a very emerging field that protects systems, networks, and data from digital attacks. With the increase in the scale of the Internet and the evolution of cyber att…

cs.CR2021★ 37 cited

Review on the Security Threats of Internet of Things

Prajoy Podder, M. Rubaiyat Hossain Mondal, Subrato Bharati +1

Internet of Things (IoT) is being considered as the growth engine for industrial revolution 4.0. The combination of IoT, cloud computing and healthcare can contribute in ensuring w…

cs.CR2020★ 8 cited

Threats and Countermeasures of Cyber Security in Direct and Remote Vehicle Communication Systems

Subrato Bharati, Prajoy Podder, M. Rubaiyat Hossain Mondal +1

Traffic management, road safety, and environmental impact are important issues in the modern world. These challenges are addressed by the application of sensing, control and commun…

eess.IV2020★ 69 cited

Artificial Neural Network Based Breast Cancer Screening: A Comprehensive Review

Subrato Bharati, Prajoy Podder, M. Rubaiyat Hossain Mondal

Breast cancer is a common fatal disease for women. Early diagnosis and detection is necessary in order to improve the prognosis of breast cancer affected people. For predicting bre…

eess.SP2020★ 7 cited

Realization of MIMO Channel Model for Spatial Diversity with Capacity and SNR Multiplexing Gains

Subrato Bharati, Prajoy Podder, Niketa Gandhi +1

Multiple input multiple output (MIMO) system transmission is a popular diversity technique to improve the reliability of a communication system where transmitter, communication cha…

eess.IV2020★ 208 cited

Diagnosis of Breast Cancer Based on Modern Mammography using Hybrid Transfer Learning

Aditya Khamparia, Subrato Bharati, Prajoy Podder +4

Breast cancer is a common cancer for women. Early detection of breast cancer can considerably increase the survival rate of women. This paper mainly focuses on transfer learning pr…

eess.IV2020★ 400 cited

Hybrid Deep Learning for Detecting Lung Diseases from X-ray Images

Subrato Bharati, Prajoy Podder, M. Rubaiyat Hossain Mondal

Lung disease is common throughout the world. These include chronic obstructive pulmonary disease, pneumonia, asthma, tuberculosis, fibrosis, etc. Timely diagnosis of lung disease i…

eess.SP2020★ 4 cited

Bit Error Rate Analysis of M-ARY PSK and M-ARY QAM Over Rician Fading Channel

Subrato Bharati, Mohammad Atikur Rahman, Prajoy Podder +2

This paper mainly illustrates the Bit error rate performance of M-ary QAM and M-ary PSK for different values of SNR over Rician Fading channel. A signal experiences multipath propa…

eess.SP2020★ 4 cited

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

Subrato Bharati, Mohammad Atikur Rahman, Prajoy Podder

This paper mainly discusses about three basic digital modulation process ASK, FSK, PSK. These modulation schemes can be characterized by their transmitted symbols which consist of…