[HTML][HTML] Machine learning for advanced emission monitoring and reduction strategies in fossil fuel power plants

Z Zuo, Y Niu, J Li, H Fu, M Zhou - Applied Sciences, 2024 - mdpi.com
Fossil fuel power plants are a significant contributor to global carbon dioxide (CO2) and
nitrogen oxide (NOx) emissions. Accurate monitoring and effective reduction of these …

Machine Learning for Spectrum Sharing: A Survey

FRV Guimarães, JMB da Silva Jr… - … and Trends® in …, 2024 - nowpublishers.com
Abstract The 5th generation (5G) of wireless systems is being deployed with the aim to
provide many sets of wireless communication services, such as low data rates for a massive …

An Optimal Control Approach for Inverse Problems with Deep Learnable Regularizers

W Bian - arXiv preprint arXiv:2409.00498, 2024 - arxiv.org
This paper introduces an optimal control framework to address the inverse problem using a
learned regularizer, with applications in image reconstruction. We build upon the concept of …

Scaling Up Task Execution on Resource-Constrained Systems

Y Luo - 2023 - search.proquest.com
The ubiquity of executing machine learning tasks on embedded systems with constrained
resources has made efficient execution of neural networks on these systems under the CPU …

Intelligent Spectrum Coexistence in UAV-Enabled NextG Networks: Algorithms and Testing Framework

J Hu - 2024 - search.proquest.com
Abstract Unmanned Aerial Vehicles (UAVs) are envisioned as pivotal technologies for the
next generation of wireless networks due to their rapid deployment, high mobility, and …

Transmitter Localization and Optimizing Initial State in Classical/Quantum Sensor Networks

C Zhan - 2024 - search.proquest.com
In shared spectrum systems, it is important to be able to localize simultaneously present
multiple intruders (unauthorized transmitters) to effectively protect a shared spectrum from …

[图书][B] Algorithms and Applications of Explainable Machine Learning

Z Chen - 2023 - search.proquest.com
The field of machine learning (ML) has achieved remarkable success over the past few
decades and has become an integral part of our daily lives, powering various applications …