3 citations · 5 across the 6 of their papers we have counts for
6 papers
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…
Exploring Image Transforms derived from Eye Gaze Variables for Progressive Autism Diagnosis
Abigail Copiaco, Christian Ritz, Yassine Himeur +3
The prevalence of Autism Spectrum Disorder (ASD) has surged rapidly over the past decade, posing significant challenges in communication, behavior, and focus for affected individua…
Hybrid Vision Transformer-Mamba Framework for Autism Diagnosis via Eye-Tracking Analysis
Wafaa Kasri, Yassine Himeur, Abigail Copiaco +3
Accurate Autism Spectrum Disorder (ASD) diagnosis is vital for early intervention. This study presents a hybrid deep learning framework combining Vision Transformers (ViT) and Visi…
Advancing 3D Point Cloud Understanding through Deep Transfer Learning: A Comprehensive Survey
Shahab Saquib Sohail, Yassine Himeur, Hamza Kheddar +5
The 3D point cloud (3DPC) has significantly evolved and benefited from the advance of deep learning (DL). However, the latter faces various issues, including the lack of data or an…
DASEE A Synthetic Database of Domestic Acoustic Scenes and Events in Dementia Patients Environment
Abigail Copiaco, Christian Ritz, Stefano Fasciani +1
Access to informative databases is a crucial part of notable research developments. In the field of domestic audio classification, there have been significant advances in recent ye…