194 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University Yahia Fares of MedeaDZ9 papers
- Information Technology UniversityPK5 papers
- University of SharjahAE4 papers
- National University of SingaporeSG3 papers
- Qatar UniversityQA3 papers
- University of Sciences and Technology Houari BoumedieneDZ3 papers
- De Montfort UniversityGB2 papers
- Henry Royce InstituteGB2 papers
- Northwest African American MuseumUS2 papers
- Simon Fraser UniversityCA2 papers
- University of Wollongong in DubaiAE2 papers
- Yerevan State UniversityAM2 papers
11 papers · 1 filter
From Public Evidence to Contractual Outcome: First and Stable Decidability on Kalshi
Maksym Nechepurenko
Public evidence can become sufficient to settle a prediction-market contract before the venue records its first determination, but the relevant boundary depends on the applicable r…
Prediction of bank transaction fraud using TabNet an adaptive deep learning architecture
Prashanth BS, Manoj Kumar, Ariful Hoque +4
The development of online banking has brought about an increase in fraudulent operations, which is a major problem for banks. This study delves into the urgent requirement for inte…
MixerSENet: A Lightweight Framework for Efficient Hyperspectral Image Classification
Mohammed Q. Alkhatib, Swalpa Kumar Roy, Ali Jamali
In this paper, a novel framework, MixerSENet, is introduced for hyperspectral image (HSI) classification, designed to address the challenges of computational efficiency and limited…
PolSAR Image Classification using a Hybrid Complex-Valued Network (HybridCVNet)
Mohammed Q. Alkhatib
Recently, convolutional neural networks (CNNs) have become popular for image classification due to their effectiveness in computer vision tasks. Now, researchers are exploring the…
MixerCA: An Efficient and Accurate Model for High-Performance Hyperspectral Image Classification
Mohammed Q. Alkhatib, Ali Jamali
Over the past decade, hyperspectral image (HSI) classification has drawn considerable interest due to HSIs' ability to effectively distinguish terrestrial objects by capturing deta…
ConvVitMamba: Efficient Multiscale Convolution, Transformer, and Mamba-Based Sequence modelling for Hyperspectral Image Classification
Mohammed Q. Alkhatib
Hyperspectral image (HSI) classification remains challenging due to high spectral dimensionality, redundancy, and limited labeled data. Although convolutional neural networks (CNNs…
DDF2Pol: A Dual-Domain Feature Fusion Network for PolSAR Image Classification
Mohammed Q. Alkhatib
This paper presents DDF2Pol, a lightweight dual-domain convolutional neural network for PolSAR image classification. The proposed architecture integrates two parallel feature extra…
BreathAI: Transfer Learning-Based Thermal Imaging for Automated Breathing Pattern Recognition
Hamza Kheddar, Yassine Himeur, Abbes Amira
This study presents an Adaptive Transfer Learning and Thresholding-based Deep Learning Model (ATL-TDLM) for automated breathing pattern recognition using thermal imaging. Unlike co…
Hybrid Deep Feature Extraction and ML for Construction and Demolition Debris Classification
Obai Alashram, Nejad Alagha, Mahmoud AlKakuri +2
The construction industry produces significant volumes of debris, making effective sorting and classification critical for sustainable waste management and resource recovery. This…
CEEMDAN-Based Multiscale CNN for Wind Turbine Gearbox Fault Detection
Nejad Alagha, Anis Salwa Mohd Khairuddin, Obada Al-Khatib +1
Wind turbines play a critical role in the shift toward sustainable energy generation. Their operation relies on multiple interconnected components, and a failure in any of these ca…
PatchBlock: A Lightweight Defense Against Adversarial Patches for Embedded EdgeAI Devices
Nandish Chattopadhyay, Abdul Basit, Amira Guesmi +3
Adversarial attacks pose a significant challenge to the reliable deployment of machine learning models in EdgeAI applications, such as autonomous driving and surveillance, which re…