User profiles for Rebeen Ali Hamad
 | Rebeen Ali HamadResearch Associate Health Data Verified email at newcastle.ac.uk Cited by 385 |
Efficacy of imbalanced data handling methods on deep learning for smart homes environments
Human activity recognition as an engineering tool as well as an active research field has
become fundamental to many applications in various fields such as health care, smart home …
become fundamental to many applications in various fields such as health care, smart home …
Dilated causal convolution with multi-head self attention for sensor human activity recognition
Abstract Systems of sensor human activity recognition are becoming increasingly popular in
diverse fields such as healthcare and security. Yet, developing such systems poses inherent …
diverse fields such as healthcare and security. Yet, developing such systems poses inherent …
Efficient activity recognition in smart homes using delayed fuzzy temporal windows on binary sensors
RA Hamad, AS Hidalgo, MR Bouguelia… - IEEE journal of …, 2019 - ieeexplore.ieee.org
Human activity recognition has become an active research field over the past few years due
to its wide application in various fields such as health-care, smart home monitoring, and …
to its wide application in various fields such as health-care, smart home monitoring, and …
[HTML][HTML] A deep-learning-driven light-weight phishing detection sensor
This paper designs an accurate and low-cost phishing detection sensor by exploring deep
learning techniques. Phishing is a very common social engineering technique. The attackers …
learning techniques. Phishing is a very common social engineering technique. The attackers …
[HTML][HTML] Joint learning of temporal models to handle imbalanced data for human activity recognition
Human activity recognition has become essential to a wide range of applications, such as
smart home monitoring, health-care, surveillance. However, it is challenging to deliver a …
smart home monitoring, health-care, surveillance. However, it is challenging to deliver a …
Self-Supervised Learning for Activity Recognition Based on Datasets With Imbalanced Classes
… Rebeen Ali Hamad and Bo Wei are with the School of Computing, Newcastle University, NE4
5TG Newcastle upon Tyne, UK (e-mail: rebeen.hamad… Rebeen Ali Hamad received the M.…
5TG Newcastle upon Tyne, UK (e-mail: rebeen.hamad… Rebeen Ali Hamad received the M.…
[PDF][PDF] Paper III Efficacy of Imbalanced Data Handling Methods on Deep Learning for Smart Homes Environments
RA Hamad, M Kimura, J Lundstrom - Towards Reliable, Stable and …, 2020 - diva-portal.org
Human activity recognition as an engineering tool as well as an active research field has
become fundamental to many applications in various fields such as health care, smart home …
become fundamental to many applications in various fields such as health care, smart home …
ConvNet-based performers attention and supervised contrastive learning for activity recognition
Human activity recognition based on generated sensor data plays a major role in a large
number of applications such as healthcare monitoring and surveillance system. Yet, accurately …
number of applications such as healthcare monitoring and surveillance system. Yet, accurately …
Stability analysis of the t-SNE algorithm for human activity pattern data
RA Hamad, E Järpe, J Lundström - 2018 IEEE international …, 2018 - ieeexplore.ieee.org
Health technological systems learning from and reacting on how humans behave in sensor
equipped environments are today being commercialized. These systems rely on the …
equipped environments are today being commercialized. These systems rely on the …
[BOOK][B] Sequential learning and shared representation for sensor-based human activity recognition
RA Hamad - 2022 - search.proquest.com
Human activity recognition based on sensor data has rapidly attracted considerable research
attention due to its wide range of applications including senior monitoring, rehabilitation, …
attention due to its wide range of applications including senior monitoring, rehabilitation, …