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A New Hybrid Forecasting Model Based on Dual Series Decomposition with Long-Term Short-Term Memory
(Wiley-Hindawi, 2023)
In recent years, ozone (O3) has gradually become the primary pollutant plaguing urban air quality. Accurate and efficient ozone prediction is of great significance to the prevention and control of ozone pollution. The air ...
A New ANN Technique for Short-Term Wind Speed Prediction Based on SCADA System Data in Turkey
(Multidisciplinary Digital Publishing Institute (MDPI), 2023-10)
The restored interest now receives renewable energy due to the global decline in greenhouse gas emanations and fossil fuel combustion. The fasted growing energy source, wind energy generation, is recognized as a clean ...
Towards explainability for AI-based edge wireless signal automatic modulation classification
(Springer Science and Business Media Deutschland GmbH, 2024-12)
With the development of artificial intelligence technology and edge computing technology, deep learning-based automatic modulation classification (AI-based AMC) deployed at edge devices using centralised or distributed ...
Hybrid Climate Forecasting: Variational Mode Decomposition and Convolutional Neural Network with Long-Term Short Memory
(HARD Publishing Company, 2024)
Ozone (O3) pollution has surfaced as a significant threat to urban air quality in contemporary years. The precise and efficient forecast of ozone levels is fundamental in the mitigation and management of ozone pollution. ...
A Meta-Heuristic Sustainable Intelligent Internet of Things Framework for Bearing Fault Diagnosis of Electric Motor under Variable Load Conditions
(Multidisciplinary Digital Publishing Institute (MDPI), 2023-12)
The study introduces an Intelligent Diagnosis Framework (IDF) optimized using the Grasshopper Optimization Algorithm (GOA), an advanced swarm intelligence method, to enhance the precision of bearing defect diagnosis in ...
Enhancing lung cancer diagnosis with data fusion and mobile edge computing using DenseNet and CNN
(Springer Science and Business Media Deutschland GmbH, 2024-12)
The recent advancements in automated lung cancer diagnosis through the application of Convolutional Neural Networks (CNN) on Computed Tomography (CT) scans have marked a significant leap in medical imaging and diagnostics. ...