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Creating colored flower decorations using resin

Creating colored flower decorations using resin is a craft activity that combines coloring techniques, molding, and resin casting to produce aesthetically pleasing floral decor pieces The mass media’s ...
Scientific Research Publishing

Sporadic Hemiplegic Migraine Case Study and Classification Using Machine Learning ()

1 San Juan Bautista School of Medicine, Caguas, PR, USA. 2 Independent Researcher, Monmouth County, NJ, USA. There are two types of hemiplegic migraines: sporadic hemiplegic migraine (SHM) and ...
National Academies of Sciences%2c Engineering%2c and Medicine

Making Machine Learning Safer in High-Stakes Settings

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
SDxCentral

Telstra tests quantum machine learning for network automation

Telstra has completed a trial with Silicon Quantum Computing (SQC) that sought to apply quantum machine learning to boost network automation. The 12-month trial saw the pair leverage Watermelon, SQC’s ...
IEEE

Machine Learning Techniques to Improve the Cognitive Workload Classification Using Multimodal Sensors’ Data

Abstract: Using machine learning applied to multimodal physiological data allows the classification of cognitive workload (low, moderate, or high load) during task performance. However, current ...
Rochester Institute of Technology

RIT researchers use machine learning to better understand the pathways of disease

Cancer, Alzheimer’s, and other diseases follow a pathway in the human body. It starts at the molecular and cellular levels, and through a series of complex interactions can lead to the development and ...
Medical Xpress

Machine learning can help mental health patients get better outcomes, research shows

Debate continues over the role of artificial intelligence in treating mental health conditions, but new research shows that machine learning models can help predict whether a person might benefit from ...
Journal of Medical Internet Research

Classification of Individuals With COVID-19 and Post–COVID-19 Condition and Healthy Controls Using Heart Rate Variability: Machine Learning Study With a Near–Real-Time ...

Classification models were developed using supervised machine learning algorithms (decision tree, support vector machines, k-nearest neighbor, and neural networks) and evaluated through ...
IEEE

Accurate and Efficient Fluid Flow Regime Classification Using Localized Texture Descriptors and Machine Learning

Abstract: This paper presents an image-based framework for classifying fluid flow regimes into low and high-speed states by utilizing spatially localized texture features combined with machine ...
Frontiers

Artificial liver classifier: a new alternative to conventional machine learning models

1 Department of Computer Science, University of Technology, Baghdad, Iraq 2 Department of Computer Science and Engineering, Artificial Intelligence and Innovation Centre (AIIC), University of ...