Deep CNN-LSTM With Self-Attention Model for Human Activity Recognition Using Wearable Sensor
Mst. Alema Khatun(Jahangirnagar University), Mohammad Ali Moni(Charles Sturt University), Asaduzzaman Khan(The University of Queensland), Mohammad Abu Yousuf(Jahangirnagar University), Sabbir Ahmed(Jahangirnagar University), Md. Zia Uddin(SINTEF), AKM Azad(University of Technology Sydney), Hanan Akhdar(Imam Mohammad ibn Saud Islamic University), Salem A. Alyami(Imam Mohammad ibn Saud Islamic University), Samer Al-Ashhab(Imam Mohammad ibn Saud Islamic University)
IEEE Journal of Translational Engineering in Health and Medicine
January 1, 2022
Cited by 249
Related Papers
Comparing different supervised machine learning algorithms for disease prediction
|BMC Medical Informatics and Decision Making|2019|1.6k
Comparative performance analysis of K-nearest neighbour (KNN) algorithm and its different variants for disease prediction
|Scientific Reports|2022|693
Heart disease prediction using supervised machine learning algorithms: Performance analysis and comparison
|Computers in Biology and Medicine|2021|482
Zeolite synthesis from low-cost materials and environmental applications: A review
|Environmental Advances|2020|384
Ensemble Learning for Disease Prediction: A Review
|Healthcare|2023|345