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Found 3 papers, 1 papers with code
Machine Learning Techniques to Identify Hand Gestures amidst Forearm Muscle Signals
This study investigated the use of forearm EMG data for distinguishing eight hand gestures, employing the Neural Network and Random Forest algorithms on data from ten participants.
Analyzing Brain Activity During Learning Tasks with EEG and Machine Learning
This study aimed to analyze brain activity during various STEM activities, exploring the feasibility of classifying between different tasks.
A hybrid machine learning framework for clad characteristics prediction in metal additive manufacturing
The framework resolves many challenges of conventional modeling methods in MAM by solving t the issue of data scarcity using a hybrid approach and introducing an efficient, accurate, and scalable platform for clad characteristics prediction and optimization.
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