Cable News Network

Cable News Network

Researchers Develop Novel Framework for Identifying Delamination in BFRP Pipes

Researchers from Alexandria University have created a groundbreaking framework for detecting delamination in basalt fiber-reinforced polymer (BFRP) pipes. According to a study published in the International Journal of Lightweight Materials and Manufacture, the team developed a novel framework that combines convolutional neural networks (CNNs) with capacitive sensors to accurately identify

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AI-Powered Cancer Diagnosis: New Research Shows Convolutional Neural Networks Can Improve Diagnostic Accuracy

Researchers from Aarhus University Hospital in Denmark have made a groundbreaking discovery in cancer diagnosis using convolutional neural networks (CNNs). According to the study, CNNs can reduce workload and improve diagnostic accuracy by analyzing all removed lymph nodes microscopically for metastasis. This innovative approach has the potential to revolutionize cancer

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Convolutional Neural Network-assisted Optical Microfiber Interferometer for Refractive Index Measurement

A team of researchers from Nanchang Hangkong University has made significant advancements in the field of optical fiber sensing with the development of a convolutional neural network (CNN)-assisted optical microfiber interferometer. The proposed system has demonstrated high accuracy in measuring surrounding refractive index (RI) with a coefficient of determination