Abstract: Local Outlier Factor (LOF) algorithm is a typical machine learning algorithm and has good accuracy in novelty detection for detecting global and local outlier. However, the LOF algorithm ...

IntroductionThe UK water industry faces significant challenges in ensuring the accuracy and quality of the vast amounts of ...

This code example demonstrates how to run through the ModusToolbox™ machine learning (ModusToolbox™-ML) development flow with PSoC™ 6 MCU, where the end user has a pre-trained neural network (NN) ...

Here a machine learning algorithm will be trained to predict a liver disease in patients using a data-set collected from North East of Andhra Pradesh, India. Using machine learning models to predict ...

Impact Statement: Integrating quantum computing and machine learning techniques into brain-computer interface ... The promising results obtained from applying the proposed quantum algorithm, which ...

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...

algorithm and the extreme learning machine (ELM), is proposed in this study, and the stresses of AZ80 magnesium alloy are predicted by the model through a 812-record dataset. The predicting results ...

A combined sewer community can leverage the following from machine learning: Algorithm speed can provide a result in ... Figure 2: Roadmap for the development of a ML solution for CSO monitoring An ...

Then they trained a collection of machine learning surrogate models for each radiation detector and used an offline optimization algorithm to determine the voltage settings for reducing radiation ...

In this video/post, we break down supervised learning with a simple, real-world example to help you understand this key concept in machine learning. Whether you're a beginner or brushing up on AI ...

Azure Machine Learning supports automated machine learning (AutoML) by providing a framework that enables users to build high-quality models with minimal manual intervention. AutoML in Azure ML ...