The US Food and Drug Administration will take steps to streamline the process to develop generic versions of complex ...

Abstract: Polarimetric synthetic aperture radar (PolSAR) image classification is an important task in remote sensing. However, due to its complex scattering mechanism and high-dimensional features, ...

Abstract: Magnetic resonance imaging (MRI) is an important tool for brain cancer diagnosis and classification. Combined with modern convolutional neural network (CNN) technology, it can effectively ...

Abstract: The advancement of technology and innovation in universities is essential for promoting sustainable development. At Universiti Sultan Zainal Abidin (UniSZA), this commitment is reflected in ...

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Abstract: Deep learning finds use in many fields, including security, marketing, and healthcare; gender classification has drawn a lot of interest in all of them. This paper uses an open-source Kaggle ...

College of Information Science and Technology, Gansu Agricultural University, Lanzhou, China Introduction: Accurate identification of maize seed varieties is essential for enhancing crop yield and ...

Abstract: Convolutional neural network (CNN)- and Transformer-based models have achieved remarkable success in hyperspectral image (HSI) classification tasks due to their outstanding ability to ...

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Abstract: This paper presents a novel lightweight Convolutional Neural Network (CNN) for domestic animal sound classification, optimized for deployment on Raspberry Pi Internet of Things (IoT) like ...