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
34 papers
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…
Record Index-Bandgap Trade-off: CdPS3 as a High-Index van der Waals Platform for Ultraviolet-Visible Nanophotonics
M. R. Povolotskiy, A. S. Slavich, G. A. Ermolaev +21
The development of nanophotonics is hindered by a fundamental trade-off between a material's refractive index (n) and its electronic bandgap (Eg), which severely restricts the choi…
Hyperspectral Image Classification using Spectral-Spatial Mixer Network
Mohammed Q. Alkhatib
This paper introduces SS-MixNet, a lightweight and effective deep learning model for hyperspectral image (HSI) classification. The architecture integrates 3D convolutional layers f…
VoxCity: A Seamless Framework for Open Geospatial Data Integration, Grid-Based Semantic 3D City Model Generation, and Urban Environment Simulation
Kunihiko Fujiwara, Ryuta Tsurumi, Tomoki Kiyono +6
Three-dimensional urban environment simulation is a powerful tool for informed urban planning. However, the intensive manual effort required to prepare input 3D city models has hin…
Advanced Deep Learning and Large Language Models: Comprehensive Insights for Cancer Detection
Yassine Habchi, Hamza Kheddar, Yassine Himeur +4
The rapid advancement of deep learning (DL) has transformed healthcare, particularly in cancer detection and diagnosis. DL surpasses traditional machine learning and human accuracy…
End-to-End Deep Learning in Phase Noisy Coherent Optical Link
Omar Alnaseri, Yassine Himeur
In coherent optical orthogonal frequency-division multiplexing (CO-OFDM) fiber communications, a novel end-to-end learning framework to mitigate Laser Phase Noise (LPN) impairments…
Blockchain-Powered Asset Tokenization Platform
Aaryan Sinha, Raja Muthalagu, Pranav Pawar +2
Blockchain Technology has revolutionized Finance and Technology with its secure, decentralized, and trust-less methodologies of data management. In a world where asset value fluctu…
Enhanced Hybrid Deep Learning Approach for Botnet Attacks Detection in IoT Environment
A. Karthick kumar, S. Rathnamala, T. Vijayashanthi +4
Cyberattacks in an Internet of Things (IoT) environment can have significant impacts because of the interconnected nature of devices and systems. An attacker uses a network of comp…
AI-Driven Solutions for Falcon Disease Classification: Concatenated ConvNeXt cum EfficientNet AI Model Approach
Alavikunhu Panthakkan, Zubair Medammal, S M Anzar +2
Falconry, an ancient practice of training and hunting with falcons, emphasizes the need for vigilant health monitoring to ensure the well-being of these highly valued birds, especi…
Performance Evaluation of Image Enhancement Techniques on Transfer Learning for Touchless Fingerprint Recognition
S Sreehari, Dilavar P D, S M Anzar +2
Fingerprint recognition remains one of the most reliable biometric technologies due to its high accuracy and uniqueness. Traditional systems rely on contact-based scanners, which a…
Automatic Speech Recognition with BERT and CTC Transformers: A Review
Noussaiba Djeffal, Hamza Kheddar, Djamel Addou +2
This review paper provides a comprehensive analysis of recent advances in automatic speech recognition (ASR) with bidirectional encoder representations from transformers BERT and c…
A Visualized Malware Detection Framework with CNN and Conditional GAN
Fang Wang, Hussam Al Hamadi, Ernesto Damiani
Malware visualization analysis incorporating with Machine Learning (ML) has been proven to be a promising solution for improving security defenses on different platforms. In this w…
Mapping the Unseen: Unified Promptable Panoptic Mapping with Dynamic Labeling using Foundation Models
Mohamad Al Mdfaa, Raghad Salameh, Geesara Kulathunga +2
Panoptic maps enable robots to reason about both geometry and semantics. However, open-vocabulary models repeatedly produce closely related labels that split panoptic entities and…
Automatic Speech Recognition using Advanced Deep Learning Approaches: A survey
Hamza Kheddar, Mustapha Hemis, Yassine Himeur
Recent advancements in deep learning (DL) have posed a significant challenge for automatic speech recognition (ASR). ASR relies on extensive training datasets, including confidenti…