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TechSource Events

Learn best practices of MATLAB and Simulink products, get answers from domain experts
and network with your peers through our events

สัมมนาออนไลน์: : AI ช่วยวินิจฉัยรูปภาพทางการแพทย์

September 11, 2024

เข้าร่วมสัมมนาออนไลน์เกี่ยวกับ AI ในการวินิจฉัยรูปภาพทางการแพทย์ด้วย MATLAB และ Simulink เรียนรู้การประมวลผลภาพ คอมพิวเตอร์วิทัศน์ และการเรียนรู้เชิงลึก พร้อมนำอัลกอริทึมไปใช้งานจริงผ่าน Zoom

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Mastering Image Processing: Enhance, Analyze and Transform your Data

June 25, 2024

Explore cutting-edge advancements in image processing and how these techniques are transforming various industries.

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Explore, Preprocess, and Extract Feature Engineering from Signals with MATLAB Made Easy

June 12, 2024

Discover how our interactive tools can expedite preprocessing, analysis, and information extraction, all while automatically generating functions within applications for seamless signal management

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Data Science, AI and Image Analysis for Oil & Gas

May 30, 2024

Learn how to leverage MATLAB for AI applications across Downstream, Midstream and Upstream operations.

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Workshop: Automated Vision Inspection Using Deep Learning

September 7, 2023

In this hands-on workshop, participants will learn how to apply principles of AI (machine learning, deep learning, domain-specific preprocessing) to visual inspection workflows.

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MathWorks Medical Devices Webinar Series

August 10, 2023

MathWorks medical devices webinar series introduces the best practices in developing medical devices. Our experts will showcase and discuss the latest trends and capabilities in the areas of medical device research, prototyping, verification, and compliance with FDA/MDR regulations for device certification using MATLAB® and Simulink®.

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Anomaly Detection using Image Processing and Deep Learning

December 7, 2022

This session demonstrates an end-to-end MATLAB workflow for developing anomaly detection models in the context of a pill production quality control data set comprising a large collection of images. The objective is to verify the quality of pills using automated visual inspection techniques.

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