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Smart home energy management systems: Research challenges and survey
(Elsevier B.V., 2024-04)
Electricity is establishing ground as a means of energy, and its proportion will continue to rise in the next generations. Home energy usage is expected to increase by more than 40% in the next 20 years. Therefore, to ...
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 ...
Wireless Charging for Electric Vehicles: A Survey and Comprehensive Guide
(Multidisciplinary Digital Publishing Institute (MDPI), 2024-03)
This study compiles, reviews, and discusses the relevant history, present status, and growing trends in wireless electric vehicle charging. Various reported concepts, technologies, and available literature are discussed ...
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. ...
Machine Learning and Deep Learning Techniques for Internet of Things Network Anomaly Detection—Current Research Trends
(Multidisciplinary Digital Publishing Institute (MDPI), 2024-03)
With its exponential growth, the Internet of Things (IoT) has produced unprecedented levels of connectivity and data. Anomaly detection is a security feature that identifies instances in which system behavior deviates from ...
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 ...
Jordanian banknote data recognition: A CNN-based approach with attention mechanism
(King Saud bin Abdulaziz University, 2024-04)
Identifying counterfeit banknotes is crucial in financial transactions, as the process of identification cannot be handled by ATMs or vending machines. The recent developments in technology, particularly the smart systems ...
Expedited re-design of multi-band passive microwave circuits using orthogonal scaling directions and gradient-based tuning
(Nature Research, 2024-12)
Geometry scaling of microwave circuits is an essential but challenging task. In particular, the employment of a given passive structure in a different application area often requires re-adjustment of the operating ...