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 …
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 …
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 …
Personalized Federated Learning for Goods Classification in Wireless Sensor-Assisted Smart Warehouses
P Li, Z Liu, J Peng, L Zhou, T Liu, Y Wu… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
With the rapid development of the smart warehouse domain, there is a growing need for
data privacy protection and accurate decision-making. This urgent need promotes the wide …
data privacy protection and accurate decision-making. This urgent need promotes the wide …
Privacy-Preserving and Trustworthy Deep Learning for Medical Imaging
K Sedghighadikolaei, AA Yavuz - arXiv preprint arXiv:2407.00538, 2024 - arxiv.org
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 …
Optimizing Tumor Classification Through Transfer Learning and Particle Swarm Optimization-Driven Feature Extraction
Brain tumors pose a significant threat, especially when not detected early. The Inception v3
machine learning model has found extensive applications in computer vision and related …
machine learning model has found extensive applications in computer vision and related …
Dual Modality Reverse Re-Ranking (DM-RR) based image retrieval framework
Retrieval of a product with desired modifications from a vast inventory of online industrial
platforms is frequently encountered in our daily life. This study presents a specialized …
platforms is frequently encountered in our daily life. This study presents a specialized …
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 …