Showing results for identifies Vector
GitHub Repo
https://github.com/byukan/Marketing-Data-Science
byukan/Marketing-Data-Science
Analytics and data science business case studies to identify opportunities and inform decisions about products and features. Topics include Markov chains, A/B testing, customer segmentation, and machine learning models (logistic regression, support vector machines, and quadratic discriminant analysis).
GitHub Repo
https://github.com/jm4474/SVARIV
jm4474/SVARIV
This repository contains a Matlab suite to construct weak-instrument robust confidence intervals for impulse response coefficients in Structural Vector Autoregressions identified with an external instrument. See "Inference in Structural Vector Autoregressions identified by an external instrument" by J.L Montiel Olea, J. H. Stock, and M. W. Watson (2018) .
GitHub Repo
https://github.com/metinaktas/Acoustic-direction-finding-using-single-acoustic-vector-sensor-under-high-reverberation
metinaktas/Acoustic-direction-finding-using-single-acoustic-vector-sensor-under-high-reverberation
We propose a novel and robust method for acoustic direction finding, which is solely based on acoustic pressure and pressure gradient measurements from single Acoustic Vector Sensor (AVS). We do not make any stochastic and sparseness assumptions regarding the signal source and the environmental characteristics. Hence, our method can be applied to a wide range of wideband acoustic signals including the speech and noise-like signals in various environments. Our method identifies the “clean” time frequency bins that are not distorted by multipath signals and noise, and estimates the 2D-DOA angles at only those identified bins. Moreover, the identification of the clean bins and the corresponding DOA estimation are performed jointly in one framework in a computationally highly efficient manner. We mathematically and experimentally show that the false detection rate of the proposed method is zero, i.e., none of the time-frequency bins with multiple sources are wrongly labeled as single-source, when the source directions do not coincide. Therefore, our method is significantly more reliable and robust compared to the competing state-of-the-art methods that perform the time-frequency bin selection and the DOA estimation separately. The proposed method, for performed simulations, estimates the source direction with high accuracy (less than 1 degree error) even under significantly high reverberation conditions.
GitHub Repo
https://github.com/SatyamGaba/Speaker-Recognition
SatyamGaba/Speaker-Recognition
Speaker recognition system with various identifiers such as GMM, GMM-UBM and i-vector.
GitHub Repo
https://github.com/anisham25/parkinsons-QSVM
anisham25/parkinsons-QSVM
9-qubit quantum support vector machine to identify Parkinson's disease based upon speech indicators.
GitHub Repo
https://github.com/KeygraphHQ/shannon
KeygraphHQ/shannon
Shannon Lite is an autonomous, white-box AI pentester for web applications and APIs. It analyzes your source code, identifies attack vectors, and executes real exploits to prove vulnerabilities before they reach production.
GitHub Repo
https://github.com/wangwl/epiVIA
wangwl/epiVIA
Identify vector integration site with both bulk and single-cell epigenomic assays
GitHub Repo
https://github.com/theghostshinobi/waf-stressor
theghostshinobi/waf-stressor
Production-grade Web Application Firewall testing tool. Detects Cloudflare, AWS WAF, Akamai & more. Identifies bypass vectors via URL normalization. Perfect for bug bounty & pentesting.
GitHub Repo
https://github.com/PotatoSpudowski/RUL-and-SOH-estimation-of-Lithium-ion-satellite-power-systems-using-support-vector-regression
PotatoSpudowski/RUL-and-SOH-estimation-of-Lithium-ion-satellite-power-systems-using-support-vector-regression
Pipeline to identify remaining useful life of Li-ion batteries using SVR to forecast end of life.
GitHub Repo
https://github.com/brianwarehime/goldphish