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Public record of test subject anomaly Mule 6
Simple codes to numerically simulate laser/ultrasound-induced inertial cavitation bubble dynamics in soft materials
Resources for Book: Deep Learning for EEG-based Brain-Computer Interface: Representations, Algorithms and Applications
Low Cost Electroencephalogram Based Brain-Computer-Interface
Steady-state Visual Evoked Potentials (SSVEP) BCI Classification Algorithms on a 12-Class SSVEP Public Dataset
MATLAB toolbox for Brain-Computer Interfacing (BCI)
Prior approaches to realizing mixed-initiative human–computer referential communication have adopted information-state or collaborative problem-solving approaches. In this paper, we argue for a new…
Uses the PoseNet human pose estimation deep learning model to help users learn dance moves with the help of a reference video.
Our project integrates advanced human and face detection into a drone platform using the DJI Tello drone, the YOLO object detection model, and face recognition technology. The system identifies hum…
Deep Learning is a new subfield of machine learning that focuses on learning deep hierarchical models of data. It is inspired by the human brain's apparent deep (layered, hierarchical) architecture…
A System Reference Document for Human–AI Collaboration in the Age of Language Models
Model to demonstrate transfer learning on a horse vs human dataset using an Inception model as reference.
A music streaming on demand system based on the Publisher - Broker - Consumer archetype with the use of consistent hashing written with Java 8
UbuntuMart embraces the Caregiver archetype, focusing on nurturing, supporting, and improving the well-being of the community. The brand reflects compassion and the desire to help others prosper th…
Implementations of basic Hercules data consumer archetypes: stream handler, stream mover, etc.
We may see an exponential increase in multimedia content such as films and photographs in cyberspace because there are many affordable digital smart devices such as computers, cellular phones, tabl…
Data duplication technology usually identifies redundant data quickly and correctly by using file checksum technique. A checksum can determine whether there is redundant data. However, there are th…
GPT VectorDB app using meta inference and CBT to compute alternate futures in thought, emotion, and behavior while eliminating cognitive distortion
Use historical exchange rate futures and time series modeling to determine predictable behavior. Use Scikit-Learn linear regression modeling to predict Yen futures returns with lagged Yen futures r…
Static page for Behavioral Probability Diversified Futures product
Humanizing Mixed Reality—Spatial Behavior Computation based on AR Media Workshop (DigitalFUTURES2024)
End‑to‑end ML pipeline that produces the first global map of land‑subsidence rates, built from 46k+ labeled points with 23 predictors, estimating >6.3 M km² affected, including 231k km² of urban/de…