Cybersecurity for Industry 5.0: trends and gaps
Industry 5.0 promises to revolutionize the industry by focusing on human-centric,
sustainability, and resilience empowered by emerging technologies such as Artificial …
sustainability, and resilience empowered by emerging technologies such as Artificial …
Federated Learning Frameworks in Smart e-Healthcare: A Systematic Literature Review with Bias Evaluation
In recent years, Federated learning has become the popular model training approach for
healthcare applications. FL is essential in executing collaborative model training, which …
healthcare applications. FL is essential in executing collaborative model training, which …
Sustainable fog-assisted intelligent monitoring framework for consumer electronics in industry 5.0 applications
SS Tripathy, S Bebortta… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The fifth era of the industry (Industry 5.0) has been marked by the reformation witnessed in
consumer electronics sector by bringing forth technology that could enhance efficiency …
consumer electronics sector by bringing forth technology that could enhance efficiency …
XCR-Net: a computer aided framework to detect COVID-19
AM Alvi, MJ Khan, NT Manami, ZA Miazi… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Coronavirus disease (COVID-19) has been the most challenging public health issue during
the past years. The current computer-aided methods of COVID19 detection face difficulty to …
the past years. The current computer-aided methods of COVID19 detection face difficulty to …
Enhancing Network Privacy through Secure Multi-Party Computation in Cloud Environments
SEVS Pillai, K Polimetla - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
Secure multi-party computation (SMPC) in cloud environments is an efficient method for
preserving customer privacy in networked applications. Secure Multi-Party Computation …
preserving customer privacy in networked applications. Secure Multi-Party Computation …
[HTML][HTML] Sustainable collaboration: Federated learning for environmentally conscious forest fire classification in green internet of things (IoT)
Forests are an invaluable natural resource, playing a crucial role in the regulation of both
local and global climate patterns. Additionally, they offer a plethora of benefits such as …
local and global climate patterns. Additionally, they offer a plethora of benefits such as …
An explainable multi-modal model for advanced cyber-attack detection in industrial control systems
Abstract The convergence of Industrial Control Systems (ICS) and intelligent Internet of
Things (IoT) technologies has rendered ICS more vulnerable to a growing range of cyber …
Things (IoT) technologies has rendered ICS more vulnerable to a growing range of cyber …
Efficient lung cancer detection using computational intelligence and ensemble learning
Lung cancer emerges as a major factor in cancer-related fatalities in the current generation,
and it is predicted to continue having a long-term impact. Detecting symptoms early …
and it is predicted to continue having a long-term impact. Detecting symptoms early …
Privacy-preserving and trustworthy deep learning for medical imaging
The shift towards efficient and automated data analysis through Machine Learning (ML) has
notably impacted healthcare systems, particularly Radiomics. Radiomics leverages ML to …
notably impacted healthcare systems, particularly Radiomics. Radiomics leverages ML to …
Advancing Secure and Privacy-Preserved Decision-Making in IoT-Enabled Consumer Electronics via Multimodal Data Fusion
This study investigates the integration and utilization of diverse data forms within consumer
electronics, with a particular emphasis on Internet of Things (IoT) technologies. We introduce …
electronics, with a particular emphasis on Internet of Things (IoT) technologies. We introduce …