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BioniChaos @UCCNBUsRwWl-J4di-GIZG16A@youtube.com

829 subscribers - no pronouns :c

I focus on advanced biomedical research and EEG data analysi


10:07
Exploring ChatGPT's Canvas Tool: Real-Time Code Reviews, Bug Fixes, and Optimizations!
18:42
Exploring BioniChaos Tools: Optical Illusions, Eye Tracking, and EEG Seizure Detection
02:03
Fixing Brain Region Detection in Semiology Tools | Seizure Zone Update on BioniChaos
03:41
Exploring BioniChaos.com: Building Tools with ChatGPT and GitHub Copilot | Try Them Now!
09:50
Exploring Seizure Semiology and Brain Mapping with 3D Models | SeizureZone on BioniChaos
03:38
Free Eye Tracking Software Demo | Custom Python Tools for Eye and Video Editing
04:21
AI-Powered Seizure Detection: Training a CNN with Spectrogram Data | 96.6% Accuracy Achieved!
02:03
Testing Eye Tracking Web App | Help Us Improve Tools on BioniChaos.com
32:08
Debugging EEG Data Viewer: Fixing Flask App Spectrogram Rendering Challenges
21:54
Fixing AUC Calculations: Debugging Interpolation and ROC Curve Issues in Real Time
03:40
Fixing Python Scripts in Blender: Creating Realistic 3D Head Models - No Luck
01:53
Relax with Interactive Particle Motion | How Your Brain Handles Chaos | BioniChaos Tools
23:55
Improving CardioROC: Calculating AUC for Accurate ECG Performance Metrics
04:56
AI for Seizure Detection: Spectrogram Analysis with Neural Networks (96.67% Accuracy)
17:22
Enhancing Website Tools: Python Scripts, Error Detection, and Real AI Training at BioniChaos
07:07
Exploring Real-Time Speech Analysis & Eye Tracking for Interactive Live Streams | BioniChaos Tools
23:22
Mastering Dynamic ROC Curves in CardioROC: Real-Time ECG Analysis Game Explained!
07:19
Optimizing Brain3D on BioniChaos: Faster Medical Imaging with NIfTI Loader.js and 3D Visualization
01:20
Neural Network Training Demo on EEG Spectrograms for Seizure Detection | Biomedical AI Explained
14:52
Dynamic EEG Data Viewer: Debugging & Enhancing with Flask and JavaScript
01:56
Experience Visual Impairments Like Never Before with VisionSim | Empathy Through Technology
02:16
Master ECG Analysis with CardioROC: Gamified Learning & Real-Time Feedback!
04:57
Seizure Detection AI with 96% Accuracy: Exploring Spectrogram Analysis and Ground Truth Insights
22:04
Exploring CardioROC: A Game-Based Approach to ROC Curve Visualization and Improvement
11:28
EEG Seizure Detection: Comparing Two Model Runs with Key Insights and Metrics (96.67% Accuracy)
02:22
VisionSim Tool: Real-Time Vision Impairment Simulator Performance Testing
15:13
Building EEG Spectrogram Models for Seizure Detection: Code Debugging & Model Insights
01:25
Explore Our Cochlear Implant Simulator: Adjust Filters, Detect Features, and Learn How It Works!
10:23
Improving EEG Seizure Detection: Python Updates, JavaScript Integration, and Optical Illusions
05:05
Achieving 96.6% Accuracy in Seizure Detection with Optimized Training: Confusion Matrix Insights
09:14
Improving EEG Model Accuracy: A Deep Dive into Random Seeds, Shuffling, and Learning Rates
07:02
Achieving High Accuracy in Seizure Detection: Analyzing Confusion Matrices and Training Logs
13:47
Train Machine Learning Models with Confusion Matrices & Data Visualization Using Python and Plotly
03:58
Seizure Detection Models: Confusion Matrix, Interactive Visuals & Tracking Model Performance
10:48
Exploring EEG Data Analysis Tool: Real-Time Biomedical Model Training & Performance on BioniChaos
05:19
Tracking Model Training Time, Augmentation Effects & Misclassification Insights in Machine Learning
02:39
Evaluating Model Performance: Training, Validation Metrics, and Comparison with Original Research
02:54
Exploring Real-Time Biomedical Data Science and Gesture-Driven Music Generation | BioniChaos
04:02
Model Stability: Techniques to Address Training Fluctuations, Validation Accuracy & Overfitting
08:44
AI Model Optimization: From Chance-Level Performance to 86% Accuracy
12:05
Convolutional Neural Networks for Seizure Detection: Challenges, Insights & Data Strategies
14:44
Seizure Detection in EEG Data with a Flask-Powered Convolutional Neural Network Model Visualisation
28:14
Building a Machine Learning Model for Seizure Detection with EEG Data | TensorFlow, CNN, Flask
16:16
Interactive EEG Seizure Detection with RhythmScan: Exploring Machine Learning & Biomedical Data
03:45
Interactive Brain3D: Volumetric Brain Imaging, Loading Optimization & 3D Rendering Improvements
03:53
Building Interactive Biomedical Apps with CardioBot: Real-Time EEG, Waveform, and Data Visualization
05:17
Mastering CardioBot & CardioQuest: Advanced ECG Analysis & Real-Time ROC Curve Insights
02:26
Exploring 3D Brain Imaging & Data Manipulation: Performance, Loading, and Optimization Challenges
02:27
Life Simulation Experiment: Optimizing Touchscreen Design for Efficient Life Generation
04:17
Optimizing Python Code & Cache Settings for Faster Loading Times | Fixing Volumetric Data Delays!
15:48
Optimizing 3D Brain Imaging Tools: Reducing Load Times, CPU Usage, and Data Management Issues
03:03
Interactive Brain 3D Model Exploration: Real-Time Rendering, Optimization & Viewer Feedback
29:24
EEG Data Visualization Optimization: HTML, JavaScript Fixes, UI Tweaks, and Performance Boosts
12:25
Explore EEG & ECG Data Tools: Spectrogram Analysis & Biomedical Signal Processing
30:42
Exploring EEG & Biomedical Data Analysis: Accessing and Managing Datasets Efficiently
58:14
Enhancing EEG Signal Analysis: Fuzzy Logic, Real-Time Controls & Color Coding Explained
01:22
Why Incomplete Data Availability Hurts Research | Insights on MRI Data & Replication Issues
26:10
Exploring CRISPR Simulations, Optical Illusions & Fuzzy Logic in Biomedical Data
55:49
Exploring Fuzzy Logic for EEG Data Analysis | Interactive Tools & Live Debugging
28:04
Fuzzy Logic Meets EEG Analysis: A Deep Dive into Dynamic Chart Handling and Artifact Detection