A low-latency edge computation offloading scheme for trust evaluation in finance-level artificial intelligence of things
The finance-level Artificial Intelligence of Things (AIoT) is going to become a novel media in
the 6G-driven digital society. Inside the financial AIoT environment, large-scale crowd credit …
the 6G-driven digital society. Inside the financial AIoT environment, large-scale crowd credit …
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 …
A vehicle-road urban sensing framework for collaborative content delivery in freeway-oriented vehicular networks
X Zhu, Q Hua, W Yan, Z Guo, K Yu - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
Urban sensing provides a fundamental computing environment for smart cities, in which
ubiquitous vehicular networks are an important component. Due to the limitation of urban …
ubiquitous vehicular networks are an important component. Due to the limitation of urban …
A Deep Learning-Based Data Management Scheme for Intelligent Control of Wastewater Treatment Processes Under Resource-Constrained IoT Systems
Y Shen, X Zhu, Z Guo, K Yu, O Alfarraj… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Effective data management schemes have always been the major demand in universal
industrial Internet of Things (IoT) systems, especially in resource-constrained scenarios. In …
industrial Internet of Things (IoT) systems, especially in resource-constrained scenarios. In …
Exposing deepfakes using dual-channel network with multi-axis attention and frequency analysis
This paper proposes a dual-channel network for DeepFake detection. The network
comprises two channels: one using a stacked Maxvit block to process the downsampled …
comprises two channels: one using a stacked Maxvit block to process the downsampled …
Synthesizing black-box anti-forensics deepfakes with high visual quality
DeepFake, an AI technology for creating facial forgeries, has garnered global attention.
Amid such circumstances, forensics researchers focus on developing defensive algorithms …
Amid such circumstances, forensics researchers focus on developing defensive algorithms …
C2BNet: a deep learning architecture with coupled composite backbone for parasitic EGG detection in microscopic images
Internet of Medical Things (IoMT) enabled by artificial intelligence (AI) technologies can
facilitate automatic diagnosis and management of chronic diseases (eg, intestinal parasitic …
facilitate automatic diagnosis and management of chronic diseases (eg, intestinal parasitic …
A Cross-Field Deep Learning-based Fuzzy Spamming Detection Approach Via Collaboration of Behavior Modeling and Sentiment Analysis
Intelligent detection techniques for Online spamming have been a hot concern in academia.
Although much technical progress has been achieved in recent years, two aspects of …
Although much technical progress has been achieved in recent years, two aspects of …
Attacking identity semantics in deepfakes via deep feature fusion
DeepFake is now widely known for forging and fabricating falsified faces. In recent years,
forensic researchers have built many algorithms as countermeasures against DeepFake …
forensic researchers have built many algorithms as countermeasures against DeepFake …
Counter-act against GAN-based attacks: A collaborative learning approach for anti-forensic detection
The massive success of deep learning allows us to forge images in more perfect manners
for ethical and even unethical purposes. Several forensic methods have been proposed to …
for ethical and even unethical purposes. Several forensic methods have been proposed to …