Backbones-review: Feature extraction networks for deep learning and deep reinforcement learning approaches

O Elharrouss, Y Akbari, N Almaadeed… - arXiv preprint arXiv …, 2022 - arxiv.org
To understand the real world using various types of data, Artificial Intelligence (AI) is the
most used technique nowadays. While finding the pattern within the analyzed data …

[HTML][HTML] Generative artificial intelligence

L Banh, G Strobel - Electronic Markets, 2023 - Springer
Recent developments in the field of artificial intelligence (AI) have enabled new paradigms
of machine processing, shifting from data-driven, discriminative AI tasks toward …

[HTML][HTML] A survey on diabetic retinopathy lesion detection and segmentation

A Sebastian, O Elharrouss, S Al-Maadeed… - Applied Sciences, 2023 - mdpi.com
Diabetes is a global problem which impacts people of all ages. Diabetic retinopathy (DR) is
a main ailment of the eyes resulting from diabetes which can result in loss of eyesight if not …

[HTML][HTML] Application of variational autoEncoder (VAE) model and image processing approaches in game design

HWL Mak, R Han, HHF Yin - Sensors, 2023 - mdpi.com
In recent decades, the Variational AutoEncoder (VAE) model has shown good potential and
capability in image generation and dimensionality reduction. The combination of VAE and …

Designing human-AI systems for complex settings: ideas from distributed, joint, and self-organising perspectives of sociotechnical systems and cognitive work analysis

N Naikar, A Brady, G Moy, HW Kwok - Ergonomics, 2023 - Taylor & Francis
Real-world events like the COVID-19 pandemic and wildfires in Australia, Europe, and
America remind us that the demands of complex operational settings are met by multiple …

Computational Reverse Engineering Analysis of the Scattering Experiment Method for Interpretation of 2D Small-Angle Scattering Profiles (CREASE-2D)

SVR Akepati, N Gupta, A Jayaraman - JACS Au, 2024 - ACS Publications
Small-angle scattering (SAS) is a widely used characterization technique that provides
structural information in soft materials at varying length scales (nanometers to microns). The …

Backbones-review: Feature extractor networks for deep learning and deep reinforcement learning approaches in computer vision

O Elharrouss, Y Akbari, N Almadeed… - Computer Science …, 2024 - Elsevier
To understand the real world using various types of data, Artificial Intelligence (AI) is the
most used technique nowadays. While finding the pattern within the analyzed data …

[HTML][HTML] GAN-Based Approach for Diabetic Retinopathy Retinal Vasculature Segmentation

A Sebastian, O Elharrouss, S Al-Maadeed… - Bioengineering, 2023 - mdpi.com
Most diabetes patients develop a condition known as diabetic retinopathy after having
diabetes for a prolonged period. Due to this ailment, damaged blood vessels may occur …

3d objects and scenes classification, recognition, segmentation, and reconstruction using 3d point cloud data: A review

O Elharrouss, K Hassine, A Zayyan, Z Chatri… - arXiv preprint arXiv …, 2023 - arxiv.org
Three-dimensional (3D) point cloud analysis has become one of the attractive subjects in
realistic imaging and machine visions due to its simplicity, flexibility and powerful capacity of …

Interpretable decision support system for tower crane layout planning: A deep learning-oriented approach

R Li, J Chen, HL Chi, D Wang, Y Fu - Advanced Engineering Informatics, 2024 - Elsevier
Concerning the deployment of heavy on-site machinery to transport construction
components, tower crane layout planning (TCLP) has an essential impact on construction …