Abstract: Cross-edge video analytics is a technology that involves collaborative processing of video data among multiple edge devices. To handle increasingly complex video analytics tasks on edge ...
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Abstract: An effective method of classifying medical images, particularly for tumor diagnosis, is proposed in this paper using a hybrid system combining convolutional neural networks (CNNs) and graph ...
Abstract: To enhance the precision of wind power forecasting, this paper proposes a model that employs feature selection and secondary decomposition techniques. Initially, the maximal information ...
Abstract: This article presents a multimodal Internet of Things (IoT)-enabled sensing system integrated with a hybrid deep learning framework for predictive fault diagnosis in elevator systems. The ...
Abstract: Fake news continues to be a critical issue in today's era for any citizen concerned about political integrity and the state of governance. The use of internet has experienced exponential ...
Abstract: Convolutional neural networks (CNN) are limited by the local receptive field, making it difficult to capture the shock features of the cross period. In view of this limitation, a ...
Abstract: Epileptic seizure detection from EEG signals is essential for the diagnosis and treatment of neurological conditions. However, this task is difficult because of the complex and fluctuating ...
Abstract: Liability of lung cancer as a primary cancer mortality agent around the world makes it vital to create diagnostic systems that guarantee both accuracy and operational efficiency. This ...
EDITOR’S NOTE: Examining clothes through the ages, Dress Codes investigates how the rules of fashion have influenced different cultural arenas — and your closet. In a windowless room at the ...
New York (CNN) — In a windowless room at the Metropolitan Museum of Art’s Antonio Ratti Textile Center, several swaths of lace hundreds of years old are spread out on a giant expanse of black paper.
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