Pattern Recognition

COS 226 Pattern Recognition Assignment.  Object detection in image using particle swarm optimization

COS 226 Pattern Recognition Assignment

Python Programming

Indian Capital Technology Center

Theoretical Computer Science

Python Programming - Assignment

Perform statistical analysis on bin file using Python. Explore different algorithms like KD Tree, SVM Algorithm, CNN Algorithm. Methodology, findings, and conclusion.

Data Science and Big Data

Classification - Python

This paper presents a fuzzy multi-objective optimization model for designing a sustainable reverse logistics network. The model considers environmental, social, and economic aspects and their indicators. Fuzzy mathematical programming is used to deal with uncertain parameters, and a customized multi-objective particle swarm optimization algorithm is applied to obtain solutions on the Pareto front. The proposed model is implemented in a medical syringe recycling system to demonstrate its applicability and practicality.

A fuzzy multi-objective optimization model for sustainable reverse logistics network design

This report proposes the method of machine learning using Python for the detection of cyberbullying by creating the usage of linear classifier exploitation of the numerous feature sets. The report focuses on experimenting and analyzing the extraction of features and detection of cyberbullying within social sites using NLP tools and machine learning algorithms in Python.

COS 226 Pattern Recognition Assignment