Researchers have developed an integrated framework for estimating battery state of health, or SOH, by combining incremental ...
Six-month, CTEL-led programme blends machine learning, deep learning and generative AI with hands-on projects and a three-day ...
Abstract: The fast spread of the Internet of Things (IoT) and the approaching deployment of 6G networks have presented hitherto unheard-of possibilities and problems in network security. IoT devices ...
CNN 10 is a daily news show for students over 13 and other viewers who want to learn about current events and global issues ...
Abstract: Lung cancer, the leading cause of cancer-related mortality worldwide, is often diagnosed at advanced stages, limiting treatment efficiency. This paper introduces a hybrid system integrating ...
Abstract: Traditional climate prediction methods are limited by the processing capacity of nonlinear and complex climate systems, while machine learning algorithms show significant advantages in ...
Abstract: This study presents a hybrid framework for detecting black leaf spot disease in oil palm seedlings caused by Curvularia infection by combining deep learning with classical machine learning ...
Abstract: Facial expression recognition (FER) is the key to understanding human emotions and feelings. It is an active area of research since human thoughts can be collected, processed, and used in ...
Abstract: When used as an image processing method, convolutional neural networks (CNNs) cannot verify conditions that can achieve high performance; however, they show sufficiently high performance and ...
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