INTEGRATING MACHINE LEARNING AND BLOCKCHAIN TO DEVELOP A SYSTEM TO VETO THE FORGERIES AND PROVIDE EFFICIENT RESULTS IN EDUCATION SECTOR

Integrating machine learning and blockchain to develop a system to veto the forgeries and provide efficient results in education sector

Abstract Although the education sector is improving more quickly than ever with the help of advancing technologies, there are still many areas yet to be discovered, and there will always be room for further enhancements.Two of the most disruptive technologies, machine learning (ML) and blockchain, have helped replace conventional approaches used in

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Estimation of immune cell densities in immune cell conglomerates: an approach for high-throughput quantification.

BackgroundDetermining the correct number of positive immune cells in immunohistological sections of colorectal cancer and other tumor entities is emerging as an important clinical predictor and therapy selector for an individual patient.This task is usually obstructed by cell conglomerates of various sizes.We here show that at least in colorectal c

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Detection of pine wilt disease infected pine trees using YOLOv5 optimized by attention mechanisms and loss functions

Pine Wilt Disease (PWD) is one of the most dangerous and destructive disease in the global forest ecosystems.Based on a dataset of pine wilt disease infected trees that we collected and produced, we developed new technology derived from YOLOv5s to promote the detection performance of the PWD infected trees in this Edible Paints work, in which atten

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