miltoncandela

miltoncandela.github.io

NeuroH

neurohumanities-lab

Code and data for "Real-time EEG-based Emotion Recognition Model using Principal Component Analysis and Tree-based Models for Neurohumanities" (Frontiers in Human Neuroscience, 2024)

ALAS-project

Code and data for "Advanced Learner Assistance System's (ALAS) recent results" (IEEE, 2021) & "Real-time Dual-feature Mental Fatigue State SVM Classification using EEG Delta Bandpower" (BSN, 2023)

data-science-JHU

Johns Hopkins University's (JHU) Data Science specialization on Coursera: A comprehensive 10-course introduction to statistics and machine learning (288 h)

fetal_subplate

highres_subplate

real-time-biofeedback

Code and data for "Real-time Biofeedback System for Interactive Learning using Wearables and IoT" (IEOM, 2021)

rnn-force-prediction

Code and data for "Multi-Output Sequential Deep Learning Model for Athlete Force Prediction on a Treadmill Using 3D Markers" (Applied Sciences, 2022) & "Biomechanics Digital Twin: Markerless Joint Acceleration Prediction Using Machine Learning and Computer Vision" (IEEE, 2023)

STEM-talent-detection

Code and data for "Neurocognitive Insights into STEM Learning" (Elsevier, 2024) & "Detecting Change in Engineering Interest in Children through Machine Learning using Biometric Signals" (IEEE, 2021)