From 299aac5cec08527a60a7d4efdc33de7a25e21424 Mon Sep 17 00:00:00 2001 From: Bouchaira Neirouz <neirouz.bouchaira@etu.ec-lyon.fr> Date: Mon, 20 Jan 2025 17:29:48 +0000 Subject: [PATCH] Update 9 files - /AI_for_electric_batteries.pdf - /AI_diagnosis_integrated_circuits.pdf - /Database_management_system_project.pdf - /DATA_DRIVEN_VC_AND_PE.pdf - /2- Data Science for Electric Battery Performance.pdf - /1- AI for Integrated Electronic Circuit Diagnostics.pdf - /3- Data Management: Blue Jeans Factory.pdf - /4- Data-Driven Methods for PE and VC.pdf - /README.md --- ...egrated Electronic Circuit Diagnostics.pdf | Bin ...ience for Electric Battery Performance.pdf | Bin ...3- Data Management: Blue Jeans Factory.pdf | Bin ...> 4- Data-Driven Methods for PE and VC.pdf | Bin README.md | 35 +++++++++++++++++- 5 files changed, 33 insertions(+), 2 deletions(-) rename AI_diagnosis_integrated_circuits.pdf => 1- AI for Integrated Electronic Circuit Diagnostics.pdf (100%) rename AI_for_electric_batteries.pdf => 2- Data Science for Electric Battery Performance.pdf (100%) rename Database_management_system_project.pdf => 3- Data Management: Blue Jeans Factory.pdf (100%) rename DATA_DRIVEN_VC_AND_PE.pdf => 4- Data-Driven Methods for PE and VC.pdf (100%) diff --git a/AI_diagnosis_integrated_circuits.pdf b/1- AI for Integrated Electronic Circuit Diagnostics.pdf similarity index 100% rename from AI_diagnosis_integrated_circuits.pdf rename to 1- AI for Integrated Electronic Circuit Diagnostics.pdf diff --git a/AI_for_electric_batteries.pdf b/2- Data Science for Electric Battery Performance.pdf similarity index 100% rename from AI_for_electric_batteries.pdf rename to 2- Data Science for Electric Battery Performance.pdf diff --git a/Database_management_system_project.pdf b/3- Data Management: Blue Jeans Factory.pdf similarity index 100% rename from Database_management_system_project.pdf rename to 3- Data Management: Blue Jeans Factory.pdf diff --git a/DATA_DRIVEN_VC_AND_PE.pdf b/4- Data-Driven Methods for PE and VC.pdf similarity index 100% rename from DATA_DRIVEN_VC_AND_PE.pdf rename to 4- Data-Driven Methods for PE and VC.pdf diff --git a/README.md b/README.md index f586ee6..7ba6854 100644 --- a/README.md +++ b/README.md @@ -1,3 +1,34 @@ -# AI & Data Research Reports +# Research Projects on AI and Data -This repository contains reports from my research projects focused on Artificial Intelligence and Data Science. +This repository contains reports from various research projects focusing on Artificial Intelligence and Data Science. The reports cover a range of topics, from applying machine learning to battery performance to developing data management systems and using AI for electronic circuit diagnostics. +**Please note that the paper was translated to English from French for sharing purposes. All the original work was done in French.** + +## Reports +* **1- AI for Integrated Electronic Circuit Diagnostics (May 2023)** + + * **Abstract:** This research project explores using artificial intelligence for fault diagnosis in integrated electronic circuits. It specifically focuses on applying machine learning models based on convolutional neural networks. The industrial goal is to identify the position and nature of faults from a series of tests on a faulty circuit, especially intermittent faults, which are not addressed by current industrial tools. This study proposes a fault diagnosis method using convolutional neural networks that accounts for intermittent faults and evaluates the models' performance against standard industrial diagnostic tools. + +* **2- Data Science for Electric Battery Performance (August 2023)** + + * **Abstract:** This report details an internship project within the Materials Center of Excellence (CoE) that explored using machine learning algorithms to simulate battery performance. The project aimed to identify new business opportunities for Hexagon through battery innovation. This exploratory phase focused on research using available databases. The report summarizes the approach, challenges, simulation results, and their potential implications. The incubation studies suggest the viability of using AI and machine learning for battery performance research at Hexagon. The simulations show promise as a cost-effective way to test innovative concepts for advanced battery materials. + +* **3- Data Management: Blue Jeans Factory (December 20, 2024)** + + * **Description:** This project focuses on creating a data management system and a Streamlit application for "Cotton Blue," a jeans manufacturing plant. The system manages data related to production and workday employees, including their activities, production numbers, salaries, attendance, and bonuses. The project addresses specific business rules related to late arrivals, overtime, and annual bonuses. + + +* **4- Data-Driven Methods for PE and VC (June 2023)** + + * **Description:** This project investigates how web scraping and data enrichment techniques can improve the efficiency and scope of startup sourcing and evaluation for Private Equity (PE) and Venture Capital (VC) firms, overcoming the limitations of traditional, manual methods. + +## Usage + +Each report is contained within its own directory (or file). You can navigate to the specific report you are interested in to view the full document. + +## Contributing + +This repository is primarily for archiving completed research reports. Contributions are not currently being accepted. + +## License + +[Insert License Here - e.g., MIT, Apache 2.0, etc. or specify if it's private] \ No newline at end of file -- GitLab