ASTM International’s Additive Manufacturing Center of Excellence (AM CoE) has published a free guide for qualifying and certifying 3D printed parts for defence. The 'Strategic Guide to Certification ...
BY JULA MAE E. BESEOS, PhD in Agricultural Engineering/ Central Mindanao University faculty FOOD SAFETY remains one of the ...
Coffee growers who produce the robusta species (Conilon) have sought to increase productivity and drink quality by improving production techniques. Artificial vision systems can assist in increasing ...
We present a supervised, probabilistic taxonomic classification of asteroid reflectance spectra from Gaia Data Release 3 (DR3). Using high-quality Gaia DR3 spectra and a reference set of spectra from ...
Abstract: The recently proposed principal component analysis network (PCANet) has performed well with respect to the classification of 2-D images. However, feature extraction may perform less well ...
Near-infrared (NIR) spectroscopy is a promising tool for optimizing seed analyses quickly and assertively. The aim of this study was to investigate the viability of NIR in association with chemometric ...
Liver cancer, including hepatocellular carcinoma (HCC), is a leading cause of cancer-related deaths globally, emphasizing the need for accurate and early detection methods. LiverCompactNet classifies ...
Marshall, a Mississippi native, is a dedicated IT and cybersecurity expert with over a decade of experience. Along with Techopedia, his articles can be found… This mapping is done through kernel ...
The basic principles required to solve classification tasks with neural networks are used as building blocks in more complicated deep learning problems such as object detection and instance ...
Abstract: Principal component analysis network (PCANet) is a feature learning algorithm that is widely used in face recognition and object classification. However, original PCANet still has some ...
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