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ORCIDHamed AlQahtani
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2020 – today
- 2022
[j9]Hamed AlQahtani, Gulshan Kumar
:
A deep learning-based intrusion detection system for in-vehicle networks. Comput. Electr. Eng. 104(Part): 108447 (2022)- [j8]Rony Chowdhury Ripan, Md. Moinul Islam, Hamed AlQahtani, Iqbal H. Sarker:
Effectively predicting cyber-attacks through isolation forest learning-based outlier detection. Secur. Priv. 5(3) (2022) - [j7]Noorulhasan Naveed Quadri, Hamed AlQahtani, Riaz Ullah Khan, Sultan Almakdi, Mohammed Alshehri, Mohammed Aref Abdul Rasheed:
An Intelligent Traffic Surveillance System Using Integrated Wireless Sensor Network and Improved Phase Timing Optimization. Sensors 22(9): 3333 (2022) - [j6]Wei Lo, Hamed AlQahtani, Kutub Thakur, Ahmad Almadhor, Subhash Chander, Gulshan Kumar:
A hybrid deep learning based intrusion detection system using spatial-temporal representation of in-vehicle network traffic. Veh. Commun. 35: 100471 (2022) - 2021
- [j5]Kutub Thakur, Hamed AlQahtani, Gulshan Kumar:
An intelligent algorithmically generated domain detection system. Comput. Electr. Eng. 92: 107129 (2021) - [c8]Syed Mohammad Minhaz Hossain, Jayed Akbar Sumon, Anik Sen, Md. Iftaker Alam, Khaleque Md. Aashiq Kamal, Hamed AlQahtani, Iqbal H. Sarker:
Spam Filtering of Mobile SMS Using CNN-LSTM Based Deep Learning Model. HIS 2021: 106-116 - [c7]Rubaiath E. Ulfath, Hamed AlQahtani, Mohammad Hammoudeh, Iqbal H. Sarker:
Hybrid CNN-GRU Framework with Integrated Pre-trained Language Transformer for SMS Phishing Detection. ICFNDS 2021: 244-251 - 2020
- [j4]Hamed AlQahtani, Manolya Kavakli-Thorne:
Design and Evaluation of an Augmented Reality Game for Cybersecurity Awareness (CybAR). Inf. 11(2): 121 (2020) - [j3]Iqbal H. Sarker, A. S. M. Kayes, Shahriar Badsha, Hamed AlQahtani, Paul A. Watters, Alex Ng:
Cybersecurity data science: an overview from machine learning perspective. J. Big Data 7(1): 41 (2020) - [j2]Iqbal H. Sarker, Hamed AlQahtani, Fawaz Alsolami, Asif Irshad Khan, Yoosef B. Abushark, Mohammad Khubeb Siddiqui:
Context pre-modeling: an empirical analysis for classification based user-centric context-aware predictive modeling. J. Big Data 7(1): 51 (2020) - [j1]Iqbal H. Sarker, Md. Faisal Faruque, Hamed AlQahtani, Asra Kalim:
K-Nearest Neighbor Learning based Diabetes Mellitus Prediction and Analysis for eHealth Services. EAI Endorsed Trans. Scalable Inf. Syst. 7(26): e4 (2020) - [c6]Hamed AlQahtani, Manolya Kavakli-Thorne, Majed Abdullah Alrowaily:
The Impact of Gamification Factor in the Acceptance of Cybersecurity Awareness Augmented Reality Game (CybAR). HCI (30) 2020: 16-31 - [c5]Hamed AlQahtani, Manolya Kavakli-Thorne:
Does Decision-Making Style Predict Individuals' Cybersecurity Avoidance Behaviour? HCI (30) 2020: 32-50 - [c4]Hamed AlQahtani, Manolya Kavakli-Thorne:
Exploring Factors Affecting User's Cybersecurity Behaviour by Using Mobile Augmented Reality App (CybAR). ICCAE 2020: 129-135 - [i4]Hamed AlQahtani:
PI-GAN: Learning Pose Independent representations for multiple profile face synthesis. CoRR abs/2001.00645 (2020)
2010 – 2019
- 2019
- [c3]Hamed AlQahtani, Manolya Kavakli-Thorne:
Multi Facet Face Construction. ACPR (2) 2019: 362-370 - [i3]Hamed AlQahtani, Manolya Kavakli-Thorne, Charles Z. Liu:
An Introduction to Person Re-identification with Generative Adversarial Networks. CoRR abs/1904.05992 (2019) - [i2]Hamed AlQahtani, Charles Z. Liu, Manolya Kavakli-Thorne, Yuzhi Kang:
An Agent-Based Intelligent HCI Information System in Mixed Reality. CoRR abs/1911.02726 (2019) - 2018
- [i1]Nazim Uddin Sheikh, Hasina Rahman, Shashwat Vikram, Hamed AlQahtani:
A Lightweight Signature-Based IDS for IoT Environment. CoRR abs/1811.04582 (2018) - 2017
- [c2]Hamed AlQahtani, Manolya Kavakli:
iMAP-CampUS: Developing an Intelligent Mobile Augmented Reality Program on Campus as a Ubiquitous System. ICCAE 2017: 1-5 - [c1]Hamed AlQahtani, Manolya Kavakli:
iMAP-CampUS (an Intelligent Mobile Augmented Reality Program on Campus as a Ubiquitous System): A Theoretical Framework to Measure User's Behavioural Intention. ICCAE 2017: 36-43
Coauthor Index
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last updated on 2023-01-19 02:15 CET by the dblp team
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