Sheikh Nooruddin

Orcid: 0000-0001-7919-7130

According to our database1, Sheikh Nooruddin authored at least 16 papers between 2019 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2023
A multi-resolution fusion approach for human activity recognition from video data in tiny edge devices.
Inf. Fusion, December, 2023

Multi-level feature fusion for multimodal human activity recognition in Internet of Healthcare Things.
Inf. Fusion, June, 2023

Internet of Things: Device Capabilities, Architectures, Protocols, and Smart Applications in Healthcare Domain.
IEEE Internet Things J., February, 2023

2022
Sensor-based fall detection systems: a review.
J. Ambient Intell. Humaniz. Comput., 2022

Internet of Things Device Capabilities, Architectures, Protocols, and Smart Applications in Healthcare Domain: A Review.
CoRR, 2022

Human activity recognition using tools of convolutional neural networks: A state of the art review, data sets, challenges, and future prospects.
Comput. Biol. Medicine, 2022

TinyHAR: Benchmarking Human Activity Recognition Systems in Resource Constrained Devices.
Proceedings of the 8th IEEE World Forum on Internet of Things, 2022

Multimodal Human Activity Recognition for Smart Healthcare Applications.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

An Evolutionary Computing Based Approach for Optimal Target Coverage in Wireless Sensor Networks.
Proceedings of the Human Centred Intelligent Systems, 2022

2021
Scalable Telehealth Services to Combat Novel Coronavirus (COVID-19) Pandemic.
SN Comput. Sci., 2021

HOG + CNN Net: Diagnosing COVID-19 and Pneumonia by Deep Neural Network from Chest X-Ray Images.
SN Comput. Sci., 2021

2020
Wearable Technology to Assist the Patients Infected with Novel Coronavirus (COVID-19).
SN Comput. Sci., 2020

An IoT based device-type invariant fall detection system.
Internet Things, 2020

Deep Learning Based Systems Developed for Fall Detection: A Review.
IEEE Access, 2020

2019
Developing IoT Based Smart Health Monitoring Systems: A Review.
Rev. d'Intelligence Artif., 2019

A Review on Fall Detection Systems Using Data from Smartphone Sensors.
Ingénierie des Systèmes d Inf., 2019


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