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 …
A privacy-preserving social computing framework for health management using federated learning
Currently, health management driven by intelligent means is a general demand of social
systems. Although a number of researchers have paid attention to such areas, they have …
systems. Although a number of researchers have paid attention to such areas, they have …
Impact of GAN artifacts for simulating mammograms on identifying mammographically occult cancer
J Lee, T Mustafaev… - Journal of medical …, 2023 - spiedigitallibrary.org
Purpose Generative adversarial networks (GANs) can synthesize various feasible-looking
images. We showed that a GAN, specifically a conditional GAN (CGAN), can simulate breast …
images. We showed that a GAN, specifically a conditional GAN (CGAN), can simulate breast …
Machine learning pipeline for the automated prediction of microvascularinvasion in hepatocellularcarcinomas
Background: Microvascular invasion (MVI) is a necessary step in the metastatic evolution of
hepatocellular carcinoma liver tumors. Predicting the onset of MVI in the initial stages of the …
hepatocellular carcinoma liver tumors. Predicting the onset of MVI in the initial stages of the …
A deep neural network-based intelligent detection model for manufacturing defects of automobile parts
W Xu, G Liu, M Wang - Journal of Circuits, Systems and Computers, 2023 - World Scientific
Image defect detection of casting parts is a key part of the production process in the
machinery manufacturing industry. The traditional methods are ineffective because …
machinery manufacturing industry. The traditional methods are ineffective because …
Multiview Deep Learning-based Efficient Medical Data Management for Survival Time Forecasting
K Yu, L Quan, C Chakraborty, Y Shen… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
In recent years, data-driven remote medical management has received much attention,
especially in application of survival time forecasting. By monitoring the physical …
especially in application of survival time forecasting. By monitoring the physical …
Energy Efficiency Maximization in UAV-Assisted Intelligent Autonomous Transport System for 6G Networks With Energy Harvesting
J Huang, T Yu, X Zhu, F Yang, X Lai… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The unmanned aerial vehicle-assisted 6G supported intelligent transportation systems (UAV-
assisted 6G-ITS) have great potential to make transportation systems efficient, smart, and …
assisted 6G-ITS) have great potential to make transportation systems efficient, smart, and …
Cooperative Interaction Observer-Based Security Control for TS Fuzzy Cyber-Physical Systems Against Sensor and Actuator Attacks
X Huang, C Chang, J Li, S Xiao… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The article investigates security control problems of Takagi-Sugeno (TS) fuzzy cyber-
physical systems (CPSs) against cyber-attacks on sensor measurement and actuator input …
physical systems (CPSs) against cyber-attacks on sensor measurement and actuator input …
Decentralized switching-type adaptive event-triggered-based non-recursive control for interconnected cyber-physical systems against multiple cyber attacks
H Sun, Y Cui, L Hou, T Jiao - IEEE Transactions on Industrial …, 2024 - ieeexplore.ieee.org
This study addresses a decentralized switching-type adaptive event-triggered-based non-
recursive security controller design for interconnected cyber-physical systems under multiple …
recursive security controller design for interconnected cyber-physical systems under multiple …
A Hybrid Neural Network-Based Intelligent Forecasting Approach for Capacity of Photovoltaic Electricity Generation
Y Zhang, Y Wang - Journal of Circuits, Systems and Computers, 2023 - World Scientific
In recent years, photovoltaic power generation technology has become the key planning
direction of the country. It is important to effectively predict photovoltaic (PV) electricity …
direction of the country. It is important to effectively predict photovoltaic (PV) electricity …