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manufacturing-process

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Data Mining in Industrial Processes: Evaluation of different machine learning models for product quality prediction. Evaluated model types are Random Forest, Naive Gaussian Bayes, Logistic Regression, K Nearest Neighbour and Support Vector Machine. Comparision of non time based state based approach with time series based approach. Final result i…

  • Updated May 13, 2020

Worked in an engineering startup in Singapore as an Electronics Design Engineer. Used PCB Design (EAGLE CAD), MATLAB Programming, Arduino & Circuit Simulation (LTSpice) for sensors development.

  • Updated Mar 21, 2022

This repository contains the project on mechanical characterization of Aluminium Alloy AA5083(O) reinforced with recycled ceramic powder. The goal is to develop a metal matrix composite (MMC) with enhanced properties for aviation, defense, marine, and automotive applications.

  • Updated Apr 27, 2025

Study on faults of knitted fabrics covering identification, causes, and preventive measures. Includes defects like holes, barre, slubs, dropped stitches, yarn faults, and fabric distortion. Analyzes yarn quality, machine settings, and process parameters with solutions to improve fabric quality and production efficiency in textile manufacturing.

  • Updated May 29, 2026

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