Abstract: Heart diseases (CVDs) persist a precede cause of fatality rate worldwide, necessitating accurate and explainable prediction model for early diagnosis and intercession. This study inquire the ...

Objective: To develop an auxiliary diagnostic tool for schizophrenia based on multiple test variables using different machine learning algorithms. Results: Arg, TP, ALP, HDL, UA, and LDL were ...

There is indeed a vast literature on the design and analysis of decision tree algorithms that aim at optimizing these parameters. This paper contributes to this important line of research: we propose ...

Abstract: The purpose of this research is to evaluate the effectiveness of SVM and Decision Tree techniques in the context of hydroponic tomato cultivation using the Deep Water Culture (DWC) method.

OKLAHOMA CITY (KFOR) – Oklahoma City residents are already scooping up mulch for their gardens thanks to the City of Oklahoma City’s tree recycling service. “I get a little bag a day,” said Cheryl ...

ABSTRACT: This paper proposes a hybrid AI framework that integrates technical indicators, fundamental data, and financial news sentiment into a stacked ensemble learning model. The ensemble combines ...