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[HTML][HTML] Towards federated learning and multi-access edge computing for air quality monitoring: Literature review and assessment
Systems for monitoring air quality are essential for reducing the negative consequences of
air pollution, but creating real-time systems encounters several challenges. The accuracy …
air pollution, but creating real-time systems encounters several challenges. The accuracy …
Analysis and prediction of virtual machine boot time on virtualized computing environments
Starting a virtual machine (VM) is a common operation in cloud computing platforms. In
order to achieve better management of resource provisioning, a cloud platform needs to …
order to achieve better management of resource provisioning, a cloud platform needs to …
Privacy-Preserving Tools and Technologies: Government Adoption and Challenges
Understanding the landscape of privacy protection in governmental systems is crucial for
ensuring the trustworthiness of public services and safeguarding citizens' sensitive data from …
ensuring the trustworthiness of public services and safeguarding citizens' sensitive data from …
CNN Pruning for Edge Computing-Based Corn Disease Detection with a Novel NG-Mean Accuracy Loss Optimization
Plant disease detection studies disease attacks in plants detected on the leaves using
computer vision. However, some plant disease detection solutions still utilize cloud …
computer vision. However, some plant disease detection solutions still utilize cloud …
MDI and PI XGBoost regression-based methods: regional best pricing prediction for logistics services
The logistics industry in Indonesia, with PT Pos Indonesia as the dominant player, is
confronted with intense price competition. The challenge lies in establishing the most …
confronted with intense price competition. The challenge lies in establishing the most …
CNN-LSTM for MFCC-based Speech Recognition on Smart Mirrors for Edge Computing Command
Smart mirrors are conventional mirrors that are augmented with embedded system
capabilities to provide comfort and sophistication for users, including introducing the speech …
capabilities to provide comfort and sophistication for users, including introducing the speech …
[PDF][PDF] Smart Lighting Systems: State-of-the-Art in the Adoption of the EdgeML Computing Paradigm
G Paolone, R Paesani, F Pilotti, J Camplone, A Piazza… - Future Internet, 2025 - preprints.org
Lighting Systems (LSs) play a fundamental role in almost every aspect of human activities.
Since the advent of light, both academia and industry are engaged in raising the quality of …
Since the advent of light, both academia and industry are engaged in raising the quality of …
NearCount for Model Compression on Edge Computing-Based Smart Lighting with Product-of-Sum Function
Edge computing is an emerging concept in the Internet of Things (IoT), where some
processing, such as artificial intelligence (AI), is carried out on the end device, not in the …
processing, such as artificial intelligence (AI), is carried out on the end device, not in the …
PCA-SVM for a Lightweight ASL Hand Gesture Image Recognition
Other studies have previously researched creating a new dataset called Gesture Modified
National Institute of Standards and Technology (MNIST Gesture), similar to the MNIST …
National Institute of Standards and Technology (MNIST Gesture), similar to the MNIST …
Pearson Correlation for Efficient Network Anomaly Detection with Quantization on the UNSW-NB15 Dataset
Advances in intrusion detection systems (IDS) leverage deep learning to comprehend
complex patterns in data and improve network security performance. However, datasets …
complex patterns in data and improve network security performance. However, datasets …