iseenh

Channel-Estimation-OFDM-

-Investigated the efficiency of different estimators to estimate and track channel parameters based on the Mean Squared Error (MSE) performance. The estimators employed in the simulation are LS and MMSE estimators and their performance in the transfer domain was evaluated. MATLAB was used for the simulation of the communication link and analyzing the error between the estimated channel parameters and actual modeled channel parameters.

deep-learning-channel-estimation

Simulation code for “Channel Estimation in Massive MIMO under Hardware Non-Linearities: Bayesian Methods versus Deep Learning,” by Özlem Tugfe Demir, Emil Björnson, IEEE Open Journal of the Communications Society, To appear.

LDAMP_based-Channel-estimation

This code is for the following paper: H. He, C. Wen, S. Jin, and G. Y. Li, “Deep learning-based channel estimation for beamspace mmwave massive MIMO systems,” IEEE Wireless Commun. Lett., vol. 7, no. 5, pp. 852–855, Oct. 2018.

Channel-Estimation

Simulates an FBMC and OFDM transmission over a doubly-selective channel. Allows to reproduce all figures from "Doubly-Selective Channel Estimation in FBMC-OQAM and OFDM Systems", IEEE VTC Fall, 2018

5gm-data

Datasets and code for machine learning in 5G mmWave MIMO systems involving mobility (5GMdata)

CapsNet-Covid19-X-Ray-Detection

COVID-19 Detection on Chest X-Ray Dataset with Capsule Neural Network.

comp137-dnn-20f-assignments

comp135-20f-assignments

Public-facing repository for starter code related to in-class demos, homeworks, and projects in Tufts' Intro to ML course for fall 2020

handson-ml2

https://github.com/ageron/handson-ml2

da-rnn

Dual-Stage Attention-Based Recurrent Neural Net for Time Series Prediction

Neuron-Network3layer_from-scratch

Siraj raval challenge

fly-trajectory-mining

A fighter fly out trajectory time series data mining demo, I use agnes and k-means to clustering the flyout data samples into left, straight and right categories. This app includes a fly out trajectory generation program which was developed by matlab and simulink

tianchi-trajectory-data-mining

天池DCIC2020船只轨迹数据挖掘比赛算法阶段Rank 3解决方案：

Pattern-mining-in-DiDi-trajectory-data

Trajectory period: 01/05/15- 05/05/15

GPS-Data-Mining

Simple data-mining practice based on Taxi Service Trajectory. Here is a set of assignments for a data mining course during a semester.

mobility-modes-awareness-from-trajectory

Code for trajectory mining, including three parts: 1) trajectory preprocessing, 2) OD points clustering for route patterns discovery, and 3) CNN based method for mobility modes identification.

trajminer

Trajectory Mining Library

AI_2017

Hurricane Trajectory using Recurrent Neural Networks. In our model, the inputs to the Recurrent Neural Network (RNN) are wind speed, pressure, and aggregated features of direction, distance, and grid identification. The distance and direction values were calculated from the latitude and longitude points given by the Unisys dataset. Our RNN is learning from all these features and it is predicting which grid location the hurricane will be moving to next.

pyBHC

Bayesian Hierarchical clustering in python

cluster-analysis

K-Means++(HCM), Fuzzy C-Means(FCM), Hierarchical Clustering, DBscan

OPTICS-Automatic-Clustering

automatic hierarchical clustering of OPTICS reachability plots implemented in Python

Hierarchical-Clustering

Hierarchical Clustering Python Implementation

calculate-accessibility

Calculate accessibility from OD matrix on Python

taxi

Taxi Route Analysis for T-Drive trajectory data sample

atc

Master Thesis - Trajectories Analysis

trackintel

trackintel is a framework for spatio-temporal analysis of movement trajectory and mobility data.

Trajectory-Analysis-and-Classification-in-Python-Pandas-and-Scikit-Learn

Formed trajectories of sets of points.Experimented on finding similarities between trajectories based on DTW (Dynamic Time Warping) and LCSS (Longest Common SubSequence) algorithms.Modeled trajectories as strings based on a Grid representation.Benchmarked KNN, Random Forest, Logistic Regression classification algorithms to classify efficiently trajectories.

OD-MatrixEstimation

this is a project about estimating OD-Matrix Using Optimization and Sparse reconstruction

OD

Origin-destination matrix estimation by deep learning using maps

NURBS-Python

Object-oriented pure Python B-Spline and NURBS library