Search Constraints
Search Results
Select an image to start the slideshow
Anomaly Detection in Time Series Brain Data Collected Using Functional Near-Infrared Spectroscopy
1 of 21
Exploring Machine Learning Methods for Nuclear Export Sequence Identification
2 of 21
Towards a More Inclusive World: Enhanced Augmentative and Alternative Communication For People With Disabilities UsingAI and NLP
3 of 21
Developing Models to Visualize and Analyze User Interaction for Financial Technology Websites
4 of 21
Applying HCI Design Practices to the Development of the BrainEx User-Interface to Facilitate fNIRS Research
5 of 21
Developing Models to Visualize & Analyze User Interaction for Financial Technology Websites
6 of 21
Applying HCI Design Practices to the Design of the BrainEx User-Interface to facilitate fNIRS Research
7 of 21
NirsAutoML: Building an automated classification platform for fNIRS data
8 of 21
Brain Wave Analysis
9 of 21
BrainEx: Visual Exploration and Discovery in Time Series Data
10 of 21
Creating an App for Audio Journal's Print Disabled Listeners
11 of 21
App for Audio Journal
12 of 21
Development and Assessment of a Mindfulness-Based Stress Reduction Mobile Application
13 of 21
Advancement of 3D Printed Aluminum Alloys for the Aerospace Industry Using Machine Learning
14 of 21
Audio Journal App Continuation
15 of 21
Cleaning On Demand with a Recommender System (CODeRS)
16 of 21
Nanomechanical Method Development for UNiT: Universal Nanoindentation Toolkit
17 of 21
Automatizing Inspection and Defect Detection for Metal Additive Manufacturing Using Deep Learning Techniques
18 of 21
UNiT: a universal toolkit for nanoindentation exploration
19 of 21
NAML : An Easy-to-Deploy Application for Time Series Analysis
20 of 21
Automatizing Inspection and Defect Detection for Metal Additive Manufacturing Using Deep Learning Techniques
21 of 21
