Deepraj Chowdhury

Orcid: 0000-0002-5511-8933

According to our database1, Deepraj Chowdhury authored at least 18 papers between 2022 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Federated learning based Covid-19 detection.
Expert Syst. J. Knowl. Eng., June, 2023

nCare: Fault-aware edge intelligence for rendering viable sensor nodes.
Internet Things, April, 2023

AI-based fog and edge computing: A systematic review, taxonomy and future directions.
Internet Things, April, 2023

HunterPlus: AI based energy-efficient task scheduling for cloud-fog computing environments.
Internet Things, April, 2023

DeCrypt: a 3DES inspired optimised cryptographic algorithm.
J. Ambient Intell. Humaniz. Comput., 2023

DYNAMITE: Dynamic aggregation of mutually-connected points based clustering algorithm for time series data.
Internet Technol. Lett., 2023

Optimized EEG based mood detection with signal processing and deep neural networks for brain-computer interface.
CoRR, 2023

2022
ABCanDroid: A Cloud Integrated Android App for Noninvasive Early Breast Cancer Detection Using Transfer Learning.
Sensors, 2022

IoT-Pi: A machine learning-based lightweight framework for cost-effective distributed computing using IoT.
Internet Technol. Lett., 2022

CovidXAI: explainable AI assisted web application for COVID-19 vaccine prioritization.
Internet Technol. Lett., 2022

HealthCloud: A system for monitoring health status of heart patients using machine learning and cloud computing.
Internet Things, 2022

Fog Computing based Router-Distributor Application for Sustainable Smart Home.
Proceedings of the 95th IEEE Vehicular Technology Conference, 2022

TESCO: Multiple Simulations based AI-augmented Fog computing for QoS Optimization.
Proceedings of the IEEE Smartworld, 2022

Data Driven based Malicious URL Detection using Explainable AI.
Proceedings of the IEEE International Conference on Trust, 2022

AUTODEEPSLICE: A Data Driven Network Slicing Technique of 5G network using Automatic Deep Learning.
Proceedings of the IEEE Globecom 2022 Workshops, 2022

AIBLOCK: Blockchain based Lightweight Framework for Serverless Computing using AI.
Proceedings of the 22nd IEEE International Symposium on Cluster, 2022

DBNex: Deep Belief Network and Explainable AI based Financial Fraud Detection.
Proceedings of the IEEE International Conference on Big Data, 2022

FogDLearner: A Deep Learning-based Cardiac Health Diagnosis Framework using Fog Computing.
Proceedings of the ACSW 2022: Australasian Computer Science Week 2022, Brisbane, Australia, February 14, 2022


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