Md. Milon Islam

Orcid: 0000-0002-4535-5978

According to our database1, Md. Milon Islam authored at least 32 papers between 2018 and 2023.

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

Timeline

Legend:

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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

An Approach for Demand Forecasting in Steel Industries Using Ensemble Learning.
Complex., 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

Machine Learning Approaches for Tackling Novel Coronavirus (COVID-19) Pandemic.
SN Comput. Sci., 2021

Prediction of Cervical Cancer from Behavior Risk Using Machine Learning Techniques.
SN Comput. Sci., 2021

EEG Channel Correlation Based Model for Emotion Recognition.
Comput. Biol. Medicine, 2021

Smart Healthcare in the Age of AI: Recent Advances, Challenges, and Future Prospects.
IEEE Access, 2021

Emotion Recognition From EEG Signal Focusing on Deep Learning and Shallow Learning Techniques.
IEEE Access, 2021

A Review on Deep Learning Techniques for the Diagnosis of Novel Coronavirus (COVID-19).
IEEE Access, 2021

2020
Obstacle and Fall Detection to Guide the Visually Impaired People with Real Time Monitoring.
SN Comput. Sci., 2020

Predictive Data Mining Models for Novel Coronavirus (COVID-19) Infected Patients' Recovery.
SN Comput. Sci., 2020

Breathing Aid Devices to Support Novel Coronavirus (COVID-19)Infected Patients.
SN Comput. Sci., 2020

Development of Smart Healthcare Monitoring System in IoT Environment.
SN Comput. Sci., 2020

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

An Efficient Human Computer Interaction through Hand Gesture Using Deep Convolutional Neural Network.
SN Comput. Sci., 2020

Breast Cancer Prediction: A Comparative Study Using Machine Learning Techniques.
SN Comput. Sci., 2020

Deep Learning Applications to Combat Novel Coronavirus (COVID-19) Pandemic.
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

Staircase Detection to Guide Visually Impaired People: A Hybrid Approach.
Rev. d'Intelligence Artif., 2019

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

Attack and anomaly detection in IoT sensors in IoT sites using machine learning approaches.
Internet Things, 2019

2018
Real-Time Crowd Detection to Prevent Stampede.
Proceedings of International Joint Conference on Computational Intelligence, 2018


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