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amprocessselection

If you use this code, please kindly cite: Qin Y, Qi Q, Scott PJ, Jiang X. An additive manufacturing process selection approach based on fuzzy Archimedean weighted power Bonferroni aggregation operators. Robotics and Computer-Integrated Manufacturing, 2020; 64: 101926. https://doi.org/10.1016/j.rcim.2019.101926.

android-matlab-navigation

Allows for MATLAB real-time visualization/processing of Android IMU/GNSS sensor data.

aosoflivifns

If you use this code, please kindly cite: Qin Y, Cui X, Huang M, Zhong Y, Tang Z, Shi P. Linguistic Interval-Valued Intuitionistic Fuzzy Archimedean Power Muirhead Mean Operators for Multiattribute Group Decision-Making. Complexity, 2020; 2020: 2373762. https://doi.org/10.1155/2020/2373762.

cancer-cells-counting-in-a-co-cultured-image

This algorithm performs automated detection, measurement, and levelling of co-cultured cells. Each cell is identified and characterized by probabilistic hesitant fuzzy set with several local descriptors (entropy, fuzzy index, fuzzy connectivity,etc. ), which are used to define an optimal threshold to segment individual cells.

chefa

Repository for the project CHeFA - Classification by Hesitant Fuzzy Automaton

cnki-download

:frog: 知网(CNKI)文献下载及文献速览爬虫

computer-vision

计算机视觉课程备份代码

deep-learning-for-time-series-data

The examples showcase two ways of using deep learning for classifying time-series data, i.e. ECG data. The first way is using continuous wavelet transform and transfer learning, whereas the second way is using Wavelet Scattering and LSTMs. The explanations of the code are in Chinese. The used data set can be download on：https://github.com/mathworks/physionet_ECG_data/

edge-detection-of-medical-images-using-intuitionsitic-fuzzy-logic

• B.TECH. THESIS PROJECT • Proposed a new divergence measure using intuitionistic fuzzy logic for edge detection. • Compared our proposed model with the method proposed by Chaira model based on the results obtained using Matlab.

fuzz-ieee-2017

Using an Intuitionistic Fuzzy Inference System for Classification Problems

gaps

gengis

GenGIS (pronounced 'Genghis' like Genghis Khan) is a bioinformatics application that allows users to combine digital map data with information about biological sequences collected from the environment. GenGIS provides a 3D graphical interface in which the user can navigate and explore the data, as well as a Python interface that allows easy scripting of statistical analyses using the Rpy libraries.

geodesic_active_contours

Image segmentation with Geodesic Active Contours

gmr_seg

Robust interactive image segmentation via graph-based manifold ranking

gnss

GNSS Labs

gnss-r

Process Piksi data to do GNSS reflectometry

gogps_matlab

goGPS MATLAB is an advanced GNSS observation processing software.

graph_based_image_segmentation

a computer vision project

graph_seg

A matlab implementation of the algorithm described in the paper Efficient Graph-Based Image Segmentation.

hfs_clust

Multiset Hesitant Fuzzy Set Clustering USing Apache Spark

if-todim

Code for the paper "IF-TODIM: An intuitionistic fuzzy TODIM to multi-criteria decision making"

ifcm

The intuitionistic fuzzy c-means algorithm for one sequence values

image_segmentation_using_k-means_clustering

markov-network-based-image-segmentation

Image Segmentation

matlab-codes

MATLAB simulation software for the book Principles of GNSS, Inertial, and Multisensor Integrated Navigation Systems, 2nd edition.

matlab-with-python

Examples using MATLAB and Python together

maximum-entropy-threshold-image-segmentation

mctk

The MODIS Conversion Toolkit plugin for ENVI

mysoftgps

A software-defined GNSS receiver for processing a 'snapshot' of data using collective detection.

ncut-segmentation

Application of the Normalized Cut Image Segmentation algorithm of Jianbo Shi and Jitendra Malik