Abstract: With the numerous Internet of Things (IoT) devices, the cloud-centric data processing fails to meet the requirement of all IoT applications. The limited computation and communication ...
Abstract: This work proposes an improved analytical model and a novel location method for irreversible demagnetization (ID). The analytical model accounts for the nonlinearities from the ...
Abstract: Electroencephalography (EEG) has been a staple method for identifying certain health conditions in patients since its discovery. Due to the many different types of classifiers available to ...
Abstract: The adaptive fuzzy control method has been widely used in the control of nonlinear systems. The system state is required to stay in a compact set for the effectiveness of the fuzzy logic ...
Abstract: We propose a deep convolutional neural network architecture codenamed Inception that achieves the new state of the art for classification and detection in the ImageNet Large-Scale Visual ...
Abstract: Digital Twin technology is an emerging concept that has become the centre of attention for industry and, in more recent years, academia. The advancements in industry 4.0 concepts have ...
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