Backbones-review: Feature extraction networks for deep learning and deep reinforcement learning approaches
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 …
most used technique nowadays. While finding the pattern within the analyzed data …
Artificial intelligence in endodontics: Fundamental principles, workflow, and tasks
SAH Ourang, F Sohrabniya… - International …, 2024 - Wiley Online Library
The integration of artificial intelligence (AI) in healthcare has seen significant advancements,
particularly in areas requiring image interpretation. Endodontics, a specialty within dentistry …
particularly in areas requiring image interpretation. Endodontics, a specialty within dentistry …
Generative artificial intelligence
Recent developments in the field of artificial intelligence (AI) have enabled new paradigms
of machine processing, shifting from data-driven, discriminative AI tasks toward …
of machine processing, shifting from data-driven, discriminative AI tasks toward …
Application of variational autoEncoder (VAE) model and image processing approaches in game design
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 …
capability in image generation and dimensionality reduction. The combination of VAE and …
A survey on diabetic retinopathy lesion detection and segmentation
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 …
a main ailment of the eyes resulting from diabetes which can result in loss of eyesight if not …
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 …
America remind us that the demands of complex operational settings are met by multiple …
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 …
components, tower crane layout planning (TCLP) has an essential impact on construction …
Gwlz: A group-wise learning-based lossy compression framework for scientific data
The rapid expansion of computational capabilities and the evergrowing scale of modern
HPC systems present formidable challenges in managing exascale scientific data. Faced …
HPC systems present formidable challenges in managing exascale scientific data. Faced …
Computational Reverse Engineering Analysis of the Scattering Experiment Method for Interpretation of 2D Small-Angle Scattering Profiles (CREASE-2D)
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 …
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
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 …
most used technique nowadays. While finding the pattern within the analyzed data …