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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. ...
Improving Robot-Assisted Virtual Teaching Using Transformers, GANs, and Computer Vision
(IGI Global, 2024-01-17)
This study aims to enhance the efficacy of personalized learning paths by amalgamating transformer models, generative adversarial networks (GANs), and reinforcement learning techniques. To refine personalized learning ...
Multiobjective and Coordinated Reconfiguration and Allocation of Photovoltaic Energy Resources in Distribution Networks Using Improved Clouded Leopard Optimization Algorithm
(Wiley-Hindawi, 2024)
In this paper, a multiobjective framework for simultaneous reconfiguration and allocation of photovoltaic (PV) energy resources in radial distribution networks is performed for minimizing the power losses, lowering network ...
CP_DeepNet: a novel automated system for COVID-19 and pneumonia detection through lung X-rays
(Springer, 2024)
In recent years, the COVID-19 outbreak has affected humanity across the globe. The frequent symptoms of COVID-19 are identical to the normal flu, such as fever and cough. COVID-19 disseminates rapidly, and it has become a ...
Advanced series decomposition with a gated recurrent unit and graph convolutional neural network for non-stationary data patterns
(Springer Science and Business Media Deutschland GmbH, 2024-12)
In this study, we present the EEG-GCN, a novel hybrid model for the prediction of time series data, adept at addressing the inherent challenges posed by the data's complex, non-linear, and periodic nature, as well as the ...
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. ...
Securing synthetic faces: A GAN-blockchain approach to privacy-enhanced facial recognition
(King Saud bin Abdulaziz University, 2024-04)
In recent years, facial recognition technology has become increasingly integrated into society, making privacy protection crucial. Previous techniques offered minimal secrecy safeguards through simple obscuration methods. ...
Role of activity-based learning and ChatGPT on students' performance in education
(Elsevier B.V., 2024-06)
Purpose: This study investigates the impact of activity-based learning and the utilization of ChatGPT on students' academic performance within the educational framework. Objectives: The study aims to assess the effectiveness ...
Enhancing patient healthcare with mobile edge computing and 5G: challenges and solutions for secure online health tools
(Springer Science and Business Media Deutschland GmbH, 2024-12)
Patient-focused healthcare applications are important to patients because they offer a range of advantages that add value and improve the overall healthcare experience. The 5G networks, along with Mobile Edge Computing ...