127 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Taibah UniversitySA6 papers
- King Abdulaziz UniversitySA5 papers
- Cairo UniversityEG4 papers
- École de Technologie SupérieureCA4 papers
- RMIT UniversityAU4 papers
- The University of Western AustraliaAU4 papers
- Anhui UniversityCN3 papers
- ARC Centre of Excellence in Future Low-Energy Electronics TechnologiesAU3 papers
- Chinese Academy of SciencesCN3 papers
- Guilin University of Electronic TechnologyCN3 papers
- Hefei Institutes of Physical ScienceCN3 papers
- High Magnetic Field LaboratoryCN3 papers
31 papers
D2H-AD: A Hybrid Model Utilizing Hyperdimensional Computing for Advanced Anomaly Detection
Ghazal Ghajari, Elaheh Ghajari, Ashutosh Ghimire +3
Anomaly detection is a fundamental component of intelligent systems with applications in healthcare, cybersecurity, smart grids, and IoT environments. Although conventional machine…
Enhancing Dual Network Based Semi-Supervised Medical Image Segmentation with Uncertainty-Guided Pseudo-Labeling
Yunyao Lu, Yihang Wu, Ahmad Chaddad +2
Despite the remarkable performance of supervised medical image segmentation models, relying on a large amount of labeled data is impractical in real-world situations. Semi-supervis…
Domain Adaptation Techniques for Natural and Medical Image Classification
Ahmad Chaddad, Yihang Wu, Reem Kateb +1
Domain adaptation (DA) techniques have the potential in machine learning to alleviate distribution differences between training and test sets by leveraging information from source…
Hybrid LLM-Enhanced Intrusion Detection for Zero-Day Threats in IoT Networks
Mohammad F. Al-Hammouri, Yazan Otoum, Rasha Atwa +1
This paper presents a novel approach to intrusion detection by integrating traditional signature-based methods with the contextual understanding capabilities of the GPT-2 Large Lan…
Generalizable and Explainable Deep Learning for Medical Image Computing: An Overview
Ahmad Chaddad, Yan Hu, Yihang Wu +2
Objective. This paper presents an overview of generalizable and explainable artificial intelligence (XAI) in deep learning (DL) for medical imaging, aimed at addressing the urgent…
FAA-CLIP: Federated Adversarial Adaptation of CLIP
Yihang Wu, Ahmad Chaddad, Christian Desrosiers +2
Despite the remarkable performance of vision language models (VLMs) such as Contrastive Language Image Pre-training (CLIP), the large size of these models is a considerable obstacl…
IoTSim-Osmosis-RES: Towards autonomic renewable energy-aware osmotic computing
Tomasz Szydlo, Amadeusz Szabala, Nazar Kordiumov +5
Internet of Things systems exists in various areas of our everyday life. For example, sensors installed in smart cities and homes are processed in edge and cloud computing centres…
Electrically tunable, rapid spin-orbit torque induced modulation of colossal magnetoresistance in MnSiTe nanoflakes
Cheng Tan, Mingxun Deng, Yuanjun Yang +13
As a quasi-layered ferrimagnetic material, MnSiTe nanoflakes exhibit magnetoresistance behaviour that is fundamentally different from their bulk crystal counterparts. T…
Room temperature magnetic phase transition in an electrically-tuned van der Waals ferromagnet
Cheng Tan, Ji-Hai Liao, Guolin Zheng +16
Finding tunable van der Waals (vdW) ferromagnets that operate at above room temperature is an important research focus in physics and materials science. Most vdW magnets are only i…
Modified conformable double Laplace Sumudu approach with applications
S. A. Ahmed, R. Saadeh, A. Qazza +1
In this study, we combine two novel methods, the conformable double Laplace-Sumudu transform (CDLST) and the modified decomposition technique. We use the new approach called confor…
Patient Independent Interictal Epileptiform Discharge Detection
Matthew McDougall, Hezam Albaqami, Ghulam Mubashar Hassan +1
Epilepsy is a highly prevalent brain condition with many serious complications arising from it. The majority of patients which present to a clinic and undergo electroencephalogram…
Detection of wide binary and multiple nuclei of planetary nebulae using the Gaia DR3
A. Ali, J. M. Khalil, A. Mindil
Context: this paper describes the detection of wide binary and multiple central stars (CSs) of Galactic planetary nebulae (PNe) using the most up-to-date data available from the Ga…
MP-SeizNet: A Multi-Path CNN Bi-LSTM Network for Seizure-Type Classification Using EEG
Hezam Albaqami, Ghulam Mubashar Hassan, Amitava Datta
Seizure type identification is essential for the treatment and management of epileptic patients. However, it is a difficult process known to be time consuming and labor intensive.…
Solar Power Time Series Forecasting Utilising Wavelet Coefficients
Sarah Almaghrabi, Mashud Rana, Margaret Hamilton +1
Accurate and reliable prediction of Photovoltaic (PV) power output is critical to electricity grid stability and power dispatching capabilities. However, Photovoltaic (PV) power ge…
Improved Gaussian-Bernoulli Restricted Boltzmann Machines for UAV-Ground Communication Systems
Osamah A. Abdullah, Michael C. Batistatos, Hayder Al-Hraishawi
Unmanned aerial vehicle (UAV) is steadily growing as a promising technology for next-generation communication systems due to their appealing features such as wide coverage with hig…
Interacting planetary nebulae III: Verification and galactic population based on the measurements of Gaia EDR3
M. Mohery, A. Ali, A. Mindil +1
The phenomenon of interaction between planetary nebulae (PNe) and the interstellar medium (ISM) is one of the significant issues in the field of astrophysics. The main objective of…
A new statistical distance scale for planetary nebulae, based on Gaia EDR3
A. Ali, E. Algarni, A. Mindil +1
The present work aims to build a new statistical distance scale for planetary nebulae (PNe) based on a rigorous calibration sample. The distances of the calibration sample are deri…
Gate-tunable exchange bias effect in FePS3-Fe5GeTe2 van der Waals heterostructures
Sultan Albarakati, Wen-Qiang Xie, Cheng Tan +11
Electrical gate-manipulated exchange bias (EB) effect is a long-term goal for spintronics applications. Meanwhile, the emergence of van der Waals (vdW) magnetic heterostructures pr…
Wavelet-Based Multi-Class Seizure Type Classification System
Hezam Albaqami, Ghulam Mubashar Hassan, Amitava Datta
Epilepsy is one of the most common brain diseases that affect more than 1\% of the world's population. It is characterized by recurrent seizures, which come in different types and…
On Smart Gaze based Annotation of Histopathology Images for Training of Deep Convolutional Neural Networks
Komal Mariam, Osama Mohammed Afzal, Wajahat Hussain +5
Unavailability of large training datasets is a bottleneck that needs to be overcome to realize the true potential of deep learning in histopathology applications. Although slide di…
Gravitational Energy in Van Stockum Space-Time
Ragab M Gad, H. A. Alharbi
The purpose of this paper is to illustrate the problem of energy and momentum distributions of Van Stockum space-time within the framework of two different theories of gravity, gen…
An investigation of planetary nebulae accompanying PG1159 central stars, based on Gaia DR2 measurements
A. Ali, Wedad R. Alharbi
This article discusses the physical and kinematical characteristics of planetary nebulae accompanying PG1159 central stars. The study is based on the parallax and proper motion mea…
Automatic detection of abnormal EEG signals using wavelet feature extraction and gradient boosting decision tree
Hezam Albaqami, Ghulam Mubashar Hassan, Abdulhamit Subasi +1
Electroencephalography is frequently used for diagnostic evaluation of various brain-related disorders due to its excellent resolution, non-invasive nature and low cost. However, m…
Robin fractional problems with symmetric variable growth
Anouar Bahrouni, Vicentiu Radulescu, Patrick Winkert
In this paper we study the fractional p(., .)-Laplacian and we introduce the corresponding nonlocal conormal derivative for this operator. We prove basic properties of the correspo…