Code samples for my book "Neural Networks and Deep Learning"

The State of charge (SOC) is an important parameter to find the capacity of state. It is equivalent to the fuel gauge for a battery pack in a battery electric vehicle. There are different general m…

This repository contains the code used in the video tutorial-"elasticsearch in python"

Simulation of performance and efficinecy of a hybrid electric vehicle

4 different recommendation engines for the MovieLens dataset.

This repo will house all our course material and code snippets from the Introduction to Machine Learning Class

Movie Recommender Systems

Hands-On Recommendation Systems with Python published by Packt

A Machine Learning Case Study for Recommendation System of movies based on collaborative filtering and content based filtering.

It is a content based recommender system that uses tf-idf and cosine similarity for N Most SImilar Items from a dataset

PyTorch experiments, demos and tutorials

Working with and analyzing Wikipedia Data

Collaborative filtering recommendation system using individual user ratings data to recommend new items for individual users.

Battery Charging and Discharging Simulink

Various machine learning algorithms have been used to estimate state-of-charge (SOC) of calendar-aged lithium-ion pouch cells. Calendar life data was generated by applying galvanostatic charge/disc…

We try to fit a Neural Network model based on simulation data of batteries, and use it for real-time battery degradation assessment and optimal control.

The understanding of the aging mechanism is crucial to predict the state-of-health of lithium-ion batteries (LIBs), a LIBs is developed to investigate the evolution of internal parameters, and a de…

The dataset is generated by P2D model for Li-ion battery, the out put will be the degradation of battery during charging.

Sample project modeling battery storage and dispatch

Implementation of a model that predicts the SoH of batteries using the NASA Battery Dataset

Modelling of an E-bike for a battery estimation on a given track. MATLAB/SIMULINK

This is a model I made to predict electric vehicle charger power consumption. The model uses the LSTM algorithm.

SmartCharge: An intelligent system for plug-in electric vehicle charging

Binary classifier development for electric vehicle detection

Implementation of "Detection of Deep Network Generated Images Using Disparities in Color Components"

Multiobjective Based Large-Scale Electric Vehicle Charging Behaviours Analysis

This project develops an optimal scheduling algorithm to minimize the total cost for charging and discharging of electric vehicles.

Repository for electric vehicle charge scheduling with a fully-observable Markov Decision Process