Also known as suboptimal maximum likelihood detection using a predictive Viterbi algorithm

Process Matlab code into a solid block of compact and unreadable but functionally equivalent code.

Creation and analysis of biochemical constraint-based models: the COBRA Toolbox v3.0

WETON: Javanese calendar

当サンプルモデルは、モデル予測制御（MPC）の設計と実装のワークフローを分かりやすく紹介するための資料です。 設計後、コード生成を行い、マイクロコントローラに実装するまでの流れを詳しくまとめています。

This piece of code contains the source code for canonical variate analysis.

You can learn how to detect and localize anomalies on image using Variational Autoencoder

G1 and G2 fitting with clothoids, circle and biarc

This is a sample code that uses the Yolo v2 model to detect people wearing or not wearing helmets.

Use pre-trained AlexNet and 1-class SVM for anomaly detection

You can learn how to detect and localize anomalies on image using Convolutional Auto Encoder.

This is a novel global optimization algorithm called Lichtenberg Algorithm (LA).

This book was written to aid in research into signal processing algorithms with application to trading.

The nanogrid consists of Wind Turbine as a power source, Battery as a storage element, and a variable
resistive load.

Imports and exports data files in seismological format "mini-SEED"

An interactive phase plotter with GUI for 1st and 2nd order ODE.

sklearn counterpart in matlab language to facilitate coding of machine learning.

Simulink model for Quaternion based Satellite Attitude dynamics and control

Phase portrait plot for SECOND and THIRD order ODE