1. Load the dataset into a DataFrame and explore its contents to understand the data structure. 2.Separate the dataset into independent (X) and dependent (Y) variables, and split them into training ...
This repository provides a brief introduction and Python implementations of various regression techniques applied to noisy and nonlinear time series data. The main objective is to evaluate the ...
ABSTRACT: Liver cancer is one of the most prevalent and lethal forms of cancer, making early detection crucial for effective treatment. This paper introduces a novel approach for automated liver tumor ...
Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
Offering a bit of light during our community's darkest days is Callie Ann Stetler and her window murals throughout the Hill Country. Stetler, a longtime artist and entrepreneur, has painted dozens of ...
Modernizing clinical trial accessibility: Integrating the AI-powered LookUpTrials app into the CTN program. Nursing Lack of a protocol for home administration of bortezomib Educational materials, ...
Learn how to compare ML models using bootstrap resampling with a hands-on sklearn implementation. Trump promised lower grocery prices ‘on Day One.’ Here’s what happened Disturbance in the Atlantic has ...
1 Institute of Geology and Geophysics, Ministry of Science and Education, Baku, Azerbaijan 2 School of Mining and Geosciences, Nazarbayev University, Astana, Kazakhstan In recent years, seismological ...
Abstract: Traditional linear scaling artificial neural network (ANN)-based compact models face significant challenges in achieving high accuracy for device modeling. To overcome this limitation, a ...
Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the naive Bayes regression technique, where the goal is to predict a single numeric value. Compared to other ...
Abstract: This paper presents a pulse-arrival-time (PAT) estimation scheme using Extreme Gradient Boosting (XGBoost) regression and its implementation with hardware description language (HDL). PAT is ...
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