Advancements in Generative AI: A Comprehensive Review of GANs, GPT, Autoencoders, Diffusion Model, and Transformers.
The launch of ChatGPT in 2022 garnered global attention, marking a significant milestone in
the Generative Artificial Intelligence (GAI) field. While GAI has been in effect for the past …
the Generative Artificial Intelligence (GAI) field. While GAI has been in effect for the past …
Leveraging generative AI for urban digital twins: a sco** review on the autonomous generation of urban data, scenarios, designs, and 3D city models for smart city …
The digital transformation of modern cities by integrating advanced information,
communication, and computing technologies has marked the epoch of data-driven smart city …
communication, and computing technologies has marked the epoch of data-driven smart city …
Variational autoencoders for data augmentation in clinical studies
D Papadopoulos, VD Karalis - Applied Sciences, 2023 - mdpi.com
Featured Application Variational autoencoders, which are a type of neural network, are
introduced in this study as a means to virtually increase the sample size of clinical studies …
introduced in this study as a means to virtually increase the sample size of clinical studies …
Improvement of the performance of scattering suppression and absorbing structure depth estimation on transillumination image by deep learning
The development of optical sensors, especially with regard to the improved resolution of
cameras, has made optical techniques more applicable in medicine and live animal …
cameras, has made optical techniques more applicable in medicine and live animal …
[HTML][HTML] Exploring the Potential of Generative Adversarial Networks in Enhancing Urban Renewal Efficiency
Y Lin, M Song - Sustainability, 2024 - mdpi.com
As Chinese cities transition into a stage of stock development, the revitalization of industrial
areas becomes increasingly crucial, serving as a pivotal factor in urban renewal. The …
areas becomes increasingly crucial, serving as a pivotal factor in urban renewal. The …
[HTML][HTML] A Deep Learning-Based Method for Bearing Fault Diagnosis with Few-Shot Learning
Y Li, X Gu, Y Wei - Sensors, 2024 - mdpi.com
To tackle the issue of limited sample data in small sample fault diagnosis for rolling bearings
using deep learning, we propose a fault diagnosis method that integrates a KANs-CNN …
using deep learning, we propose a fault diagnosis method that integrates a KANs-CNN …
Deep Error-Correcting Output Codes
Ensemble learning, online learning and deep learning are very effective and versatile in a
wide spectrum of problem domains, such as feature extraction, multi-class classification and …
wide spectrum of problem domains, such as feature extraction, multi-class classification and …
The application of artificial intelligence-assisted technology in cultural and creative product design
J Liang - Scientific Reports, 2024 - nature.com
This study proposes a novel artificial intelligence (AI)-assisted design model that combines
Variational Autoencoders (VAE) with reinforcement learning (RL) to enhance innovation and …
Variational Autoencoders (VAE) with reinforcement learning (RL) to enhance innovation and …
Stylized facts of metaverse non-fungible tokens
Abstract Non-Fungible Tokens (NFTs) within the metaverse represent a rapidly emerging
sector in the digital asset space. This paper provides a comprehensive review of the …
sector in the digital asset space. This paper provides a comprehensive review of the …
Research on designers' behavioral intention toward Artificial Intelligence-Aided Design: integrating the Theory of Planned Behavior and the Technology Acceptance …
J Jiao, X Cao - Frontiers in Psychology, 2024 - frontiersin.org
Artificial Intelligence-Aided Design (AIAD) has numerous advantages and tremendous
benefits for designers. However, not all designers are keen to integrate AIAD into their …
benefits for designers. However, not all designers are keen to integrate AIAD into their …