3 citations · 4 across the 4 of their papers we have counts for
5 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…
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…