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Abstract: A robust approach for brain tumor classification is being developed using deep convolutional neural networks (CNNs). This study leverages an open-source dataset derived from the MRI ...

Abstract: Feature selection in a traditional binary classification algorithm is always used in the stage of dataset preprocessing, which makes the obtained features not necessarily the best ones for ...

I noticed a file named "filtered_feature_bc_matrix.h5" in the DLFPC dataset you provided, which appears to be a preprocessed file. However, public datasets used in other studies (downloaded from ...

A new technical paper titled “VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation” was published by researchers at the University of Florida.

The phenomenon, in which travelers choose vacation destinations based on beloved, sometimes dark, TV series and films, has become one of the biggest trends in travel. By Danial Adkison This article is ...

End-to-end customer churn analysis with EDA, ML prediction (XGBoost, Random Forest), and interactive React dashboard. Built on Telco dataset (7,043 customers). Developed an interactive machine ...