Published in Microplastics, the study titled “Canonical Spectral Transformation for Raman Spectra Enables High Accuracy AI Identification of Marine Microplastics” introduces a novel data processing ...

Land cover maps are widely used in climate modeling, biodiversity conservation, environmental assessment, and policy design. However, many existing products are created independently each year, which ...

ABSTRACT: Automatic detection of cognitive distortions from short written text could support large-scale mental-health screening and digital cognitive-behavioural therapy (CBT). Many recent approaches ...

Abstract: The aim of this paper is to construct a typhoon classification and path prediction system based on XGBoost and random forest model to improve the accuracy of typhoon prediction and disaster ...

Iran has been battling its worst drought in more than six decades. A blaze in the north has now eaten through parts of the old treasure. By Erika Solomon and Sanam Mahoozi A wildfire burning for more ...

ABSTRACT: Predicting knowledge of tuberculosis (TB) could imply several significant changes in the management, control and prevention of this disease. These would be based on advanced technological ...

This project basically aims to provide a visual representation and comparative analysis of close price data related to different company ticker. It involves an interactive dashboard for users to ...

Implemented and compared Random Forest, Decision Tree, KNN, SVM, and Logistic Regression outcomes with a confusion matrix. Concluded that Random Forest achieved the highest accuracy of 85% to predict ...