Husam A. H. Al-Najjar

According to our database, Husam A. H. Al-Najjar authored at least 14 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Mixture-of-Adapters with Routed Distillation: Unsupervised Expert Routing for Efficient Multi-task LoRA.

Ali Braytee, Guanqi Cheng, Husam A. H. Al-Najjar, Ali Anaissi

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2026

2025

Software Professionals' Perspectives on Low-Code/No-Code Adoption in Australian Universities.

Leena Mohammed A. Alsuhaiban, Jayan Chirayath Kurian, Husam A. H. Al-Najjar, Ghassan Beydoun

Proceedings of the Australasian Conference on Information Systems, 2025

2024

Enhancing Coffee Agroforestry Systems Suitability Using Geospatial Analysis and Sentinel Satellite Data in Gedeo Zone, Ethiopia.

Wondifraw Nigussie, Husam A. H. Al-Najjar, Wanchang Zhang, Eshetu Yirsaw, Worku Nega, Zhijie Zhang, Bahareh Kalantar

Sensors, October, 2024

Connecting Researchers and Grant Opportunities: A Deep Learning Approach to Extract Data from Heterogenous Unstructured Sources.

Naif N. Alotaibi, Morteza Saberi, Madhushi Bandara, Omar Khadeer Hussain, Husam A. H. Al-Najjar

Proceedings of the IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology, 2024

2023

Moving Object Detection by Low-Rank Analysis of Region-Based Correlated Motion Fields.

Bahareh Kalantar, Naonori Ueda, Mohsen Zand, Husam Abdulrasool H. Al-Najjar

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2021

A Meta-Learning Approach of Optimisation for Spatial Prediction of Landslides.

Biswajeet Pradhan, Maher Ibrahim Sameen, Husam A. H. Al-Najjar, Daichao Sheng, Abdullah M. Alamri, Hyuck-Jin Park

Remote. Sens., 2021

A New Integrated Approach for Landslide Data Balancing and Spatial Prediction Based on Generative Adversarial Networks (GAN).

Husam Abdulrasool H. Al-Najjar, Biswajeet Pradhan, Raju Sarkar, Ghassan Beydoun, Abdullah M. Alamri

Remote. Sens., 2021

Landslide Susceptibility Modeling: An Integrated Novel Method Based on Machine Learning Feature Transformation.

Husam Abdulrasool H. Al-Najjar, Biswajeet Pradhan, Bahareh Kalantar, Maher Ibrahim Sameen, M. Santosh, Abdullah M. Alamri

Remote. Sens., 2021

2020

Unseen Land Cover Classification from High-Resolution Orthophotos Using Integration of Zero-Shot Learning and Convolutional Neural Networks.

Biswajeet Pradhan, Husam Abdulrasool H. Al-Najjar, Maher Ibrahim Sameen, Ivor W. Tsang, Abdullah M. Alamri

Remote. Sens., 2020

Assessment of Convolutional Neural Network Architectures for Earthquake-Induced Building Damage Detection based on Pre- and Post-Event Orthophoto Images.

Bahareh Kalantar, Naonori Ueda, Husam Abdulrasool H. Al-Najjar, Alfian Abdul Halin

Remote. Sens., 2020

Optimizing ANN models with PSO for predicting short building seismic response.

Hoang Nguyen, Hossein Moayedi, Loke Kok Foong, Husam Abdulrasool H. Al-Najjar, Wan Amizah Wan Jusoh, Ahmad Safuan A. Rashid, Jamaloddin Jamali

Eng. Comput., 2020

Landslide Detection Using a Saliency Feature Enhancement Technique From LiDAR-Derived DEM and Orthophotos.

Biswajeet Pradhan, Husam Abdulrasool H. Al-Najjar, Maher Ibrahim Sameen, Mustafa Ridha Mezaal, Abdullah M. Alamri

IEEE Access, 2020

2019

Land Cover Classification from fused DSM and UAV Images Using Convolutional Neural Networks.

Husam Abdulrasool H. Al-Najjar, Bahareh Kalantar, Biswajeet Pradhan, Vahideh Saeidi, Alfian Abdul Halin, Naonori Ueda, Shattri Mansor

Remote. Sens., 2019

Conditioning Factors Determination for Landslide Susceptibility Mapping Using Support Vector Machine Learning.

Bahareh Kalantar, Naonori Ueda, Usman Salihu Lay, Husam Abdulrasool H. Al-Najjar, Alfian Abdul Halin

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019