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Real-time monitor and web admin for Celery distributed task queue
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
A prototype indoor localization system based on CNN.
Using CNN to predicting the 3 Dimensional location of an object
Intrusion Detection System using Machine Learning and Deep Learning
Solutions to kdd99 dataset with Decision tree and Neural network by scikit-learn
Machine Learning with the NSL-KDD dataset for Network Intrusion Detection
Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15
本项目提出了一种基于深度学习的室内导航方法，该方法结合了深度学习和传统的定位技术，可以提高室内导航的准确性和可靠性，为用户提供精准的导引服务。
Scalable Representation of RSSIs for Multi-Building and Multi-Floor Indoor Localization Based on Deep Neural Networks
This is an open-source project that employs deep learning to enhance indoor positioning using WiFi Channel State Information (CSI). This project aims to harness the detailed data from CSI, such as …
Project for finding beacon location using Angle of Arrival (AoA) signal. The Direction of Arrival estimation is based on the MUltiple SIgnal Classification (MUSIC) algorithm here.
Estimation of direction of arrivals (DOA) using the MUSIC algorithm
Finding Direction of arrival (DOA) of small UAVs using Sparse Denoising Autoencoders and Deep Neural Networks.
A set of MATLAB functions for direction-of-arrival (DOA) estimation in array signal processing.