Search Results - "Hamad, Rebeen Ali"

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  1. 1

    A Deep-Learning-Driven Light-Weight Phishing Detection Sensor by Wei, Bo, Hamad, Rebeen Ali, Yang, Longzhi, He, Xuan, Wang, Hao, Gao, Bin, Woo, Wai Lok

    Published in Sensors (Basel, Switzerland) (30-09-2019)
    “…This paper designs an accurate and low-cost phishing detection sensor by exploring deep learning techniques. Phishing is a very common social engineering…”
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    Journal Article
  2. 2

    Efficient Activity Recognition in Smart Homes Using Delayed Fuzzy Temporal Windows on Binary Sensors by Hamad, Rebeen Ali, Hidalgo, Alberto Salguero, Bouguelia, Mohamed-Rafik, Estevez, Macarena Espinilla, Quero, Javier Medina

    “…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…”
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    Journal Article
  3. 3

    Cross-Domain Activity Recognition Using Shared Representation in Sensor Data by Hamad, Rebeen Ali, Yang, Longzhi, Woo, Wai Lok, Wei, Bo

    Published in IEEE sensors journal (01-07-2022)
    “…Existing models based on sensor data for human activity recognition are reporting state-of-the-art performances. Most of these models are conducted based on…”
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    Journal Article
  4. 4

    Joint Learning of Temporal Models to Handle Imbalanced Data for Human Activity Recognition by Hamad, Rebeen Ali, Yang, Longzhi, Woo, Wai Lok, Wei, Bo

    Published in Applied sciences (01-07-2020)
    “…Human activity recognition has become essential to a wide range of applications, such as smart home monitoring, health-care, surveillance. However, it is…”
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    Journal Article
  5. 5

    Dilated causal convolution with multi-head self attention for sensor human activity recognition by Hamad, Rebeen Ali, Kimura, Masashi, Yang, Longzhi, Woo, Wai Lok, Wei, Bo

    Published in Neural computing & applications (01-10-2021)
    “…Systems of sensor human activity recognition are becoming increasingly popular in diverse fields such as healthcare and security. Yet, developing such systems…”
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    Journal Article
  6. 6

    ConvNet-based performers attention and supervised contrastive learning for activity recognition by Hamad, Rebeen Ali, Yang, Longzhi, Woo, Wai Lok, Wei, Bo

    “…Human activity recognition based on generated sensor data plays a major role in a large number of applications such as healthcare monitoring and surveillance…”
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    Journal Article
  7. 7

    Sequential Learning and Shared Representation for Sensor-Based Human Activity Recognition by Hamad, Rebeen Ali

    Published 01-01-2022
    “…Human activity recognition based on sensor data has rapidly attracted considerable research attention due to its wide range of applications including senior…”
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    Dissertation
  8. 8

    Stability Analysis of the t-SNE Algorithm for Human Activity Pattern Data by Hamad, Rebeen Ali, Jarpe, Eric, Lundstrom, Jens

    “…Health technological systems learning from and reacting on how humans behave in sensor equipped environments are today being commercialized. These systems rely…”
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    Conference Proceeding
  9. 9

    Overview of Human Activity Recognition Using Sensor Data by Hamad, Rebeen Ali, Woo, Wai Lok, Wei, Bo, Yang, Longzhi

    Published 12-09-2023
    “…Human activity recognition (HAR) is an essential research field that has been used in different applications including home and workplace automation, security…”
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    Journal Article
  10. 10

    bursty_dynamics: A Python Package for Exploring the Temporal Properties of Longitudinal Data by Angdembe, Alisha, Iqbal, Wasim A, Hamad, Rebeen Ali, Casement, John, Consortium, AI-Multiply, Missier, Paolo, Reynolds, Nick, Henkin, Rafael, Barnes, Michael R

    Published 05-11-2024
    “…Understanding the temporal properties of longitudinal data is critical for identifying trends, predicting future events, and making informed decisions in any…”
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    Journal Article
  11. 11

    Emotion and polarity prediction from Twitter by Hamad, Rebeen Ali, Alqahtani, Saeed M., Torres, Mercedes Torres

    Published in 2017 Computing Conference (01-07-2017)
    “…Classification of public information from microblogging and social networking services could yield interesting outcomes and insights into the social and public…”
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    Conference Proceeding