IEEE

An Adaptive Framework for Low-Rate DDoS Detection in Cloud Environments Using Decision Tree Machine Learning Algorithm

Abstract: An adaptive detection framework to identify low-rate Distributed Denial of Service (DDoS) attacks in cloud environments. Leveraging the Decision Tree machine learning algorithm, the ...
Frontiers

A clinical prediction model for schizophrenia based on machine learning algorithms

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 ...
IEEE

Research on Multidimensional Data Analysis and Decision Making Based on Multiple Machine Learning Algorithms

Abstract: Focusing on multidimensional data analysis, this study applies a variety of machine learning algorithms for an in-depth exploration of decision preferences and influencing factors. A ...
Microsoft

Decision Trees with Short Explainable Rules

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 ...
East Bay Times

Child injured after tree crashes onto North Bay home

A 3-year-old Guerneville child was taken to the hospital early Wednesday with a minor injury after a fierce windstorm sent a tree crashing down onto their home, according to authorities. Is California ...
SciELO

Predicting compressive strength of concrete with fly ash, metakaolin and silica fume by using machine learning techniques

The compressive strength (CS) is the most important parameter in the design codes of reinforced concrete structures. The development of simple mathematical equations for the prediction of CS of ...