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
10 papers · 1 filter
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…
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…
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…
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…
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…