Search Results for author: Md. Milon Islam

Found 5 papers, 0 papers with code

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

no code implementations12 Apr 2022 Md. Milon Islam, Sheikh Nooruddin, Fakhri Karray, Ghulam Muhammad

In this paper, the most common and popular IoT device capabilities, architectures, and protocols are demonstrated in brief to provide a clear overview of the IoT technology to the researchers in this area.

Human Activity Recognition Using Tools of Convolutional Neural Networks: A State of the Art Review, Data Sets, Challenges and Future Prospects

no code implementations2 Feb 2022 Md. Milon Islam, Sheikh Nooruddin, Fakhri Karray, Ghulam Muhammad

Human Activity Recognition (HAR) plays a significant role in the everyday life of people because of its ability to learn extensive high-level information about human activity from wearable or stationary devices.

Human Activity Recognition

Smart Healthcare in the Age of AI: Recent Advances, Challenges, and Future Prospects

no code implementations24 Jun 2021 Mahmoud Nasr, Md. Milon Islam, Shady Shehata, Fakhri Karray, Yuri Quintana

The significant increase in the number of individuals with chronic ailments (including the elderly and disabled) has dictated an urgent need for an innovative model for healthcare systems.

A Review on Deep Learning Techniques for the Diagnosis of Novel Coronavirus (COVID-19)

no code implementations9 Aug 2020 Md. Milon Islam, Fakhri Karray, Reda Alhajj, Jia Zeng

Novel coronavirus (COVID-19) outbreak, has raised a calamitous situation all over the world and has become one of the most acute and severe ailments in the past hundred years.

COVID-19 Diagnosis

Attack and Anomaly Detection in IoT Sensors in IoT Sites Using Machine Learning Approaches

no code implementations journal 2019 Mahmudul Hasan, Md. Milon Islam, Ishrak Islam, M. M. A. Hashem

The machine learning (ML) algorithms that have been used here are Logistic Regression (LR), Support Vector Machine (SVM), Decision Tree (DT), Random Forest (RF), and Artificial Neural Network (ANN).

Anomaly Detection BIG-bench Machine Learning

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