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Vertical Slice Architecture solution template in .NET 8
Torchhd is a Python library for Hyperdimensional Computing and Vector Symbolic Architectures
Voice stress analysis (VSA) aims to differentiate between stressed and non-stressed outputs in response to stimuli (e.g., questions posed), with high stress seen as an indication of deception. In this work, we propose a deep learning-based psychological stress detection model using speech signals. With increasing demands for communication between humans and intelligent systems, automatic stress detection is becoming an interesting research topic. Stress can be reliably detected by measuring the level of specific hormones (e.g., cortisol), but this is not a convenient method for the detection of stress in human- machine interactions. The proposed algorithm first extracts Mel- filter bank coefficients using pre-processed speech data and then predicts the status of stress output using a binary decision criterion (i.e., stressed or unstressed) using CNN (Convolutional Neural Network) and dense fully connected layer networks.
Golang RADIUS library with server/client support
Holographic Reduced Representations
Video streaming web application [VSA], through HLS, using AES-128 encryption
Thesis project on the development of a framework for Value-Set Analysis
Publications by Peter Overmann
"VSA, Analogy, and Dynamic Similarity" presentation given at the Workshop on Developments in Hyperdimensional Computing and Vector Symbolic Architectures, Heidelberg, Germany, 2020-03-16.
An extended note on using Vector Symbolic Architectures to implement Next Generation Reservoir Computing
WORK IN PROGRESS: Python bindings/functions to interact with Kaseya VSA's REST API
Keynote presentation for the Midnight Sun Workshop on Vector Symbolic Architectures
This project aims to develop a very basic Vector Symbolic Architecture model to use as a default model in my other VSA projects.
Source code of the slides for the lecture "Analogical Reasoning" given on 2021-10-06 as Module 6 of Neuroscience 299: Computing with High-Dimensional Vectors at the Redwood Center for Theoretical Neuroscience, University of California, Berkeley
Research to use Vector Symbolic Architectures to implement altitude hold in a simulated multicopter.
Generate a website that demonstrates the action of Vector Symbolic Architecture operators by projecting the hypervectors to the surface of a sphere.
Official Evader game website. Hosted with github pages. NOT THE ACTUAL GAME.