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เชิญร่วมสัมมนา: AI Empowerment for Autonomous Robotics with MATLAB ร่วมค้นพบโลกของหุ่นยนต์ที่ขับเคลื่อนด้วย AI กับ MATLAB และ Simulink ที่เติบโตอย่างรวดเร็ว

Learn how you can analyze and model data using interactive tools in MATLAB. Through live demonstrations and examples, you will see how you can solve many steps in a data analysis workflow without writing...

Learn how to streamline Field-Oriented Control implementation with Simulink and get the most out of motor drives. Tips and tricks included!

In this session you will learn the basics of Simulink for modeling, simulating, and analyzing multi-domain dynamical systems. You will see how to build models using Simulink’s block diagramming interface...

In this webinar, we will show how Simscape and MATLAB can be used to develop data center cooling systems and how we can map computational tools to different stages of a technology development cycle. We...

In this webinar, we will show how Simscape and MATLAB can be used to develop data center cooling systems and how we can map computational tools to different stages of a technology development cycle. We will show how to....

In this webinar, we'll discuss the evolving demands on power amplifiers and transmitters, focusing on increased capacity requirements. We'll showcase how MATLAB simplifies the generation of wireless waveforms, signal modeling, and receiver-side analysis. Join us to explore trends in power amplifier architecture and optimization techniques to enhance key metrics for wireless waveforms.

Artificial Intelligence, particularly deep learning, is revolutionizing automation and business processes. It excels in solving intricate challenges related to images, signals, text, and controls, delivering human-like accuracy in tasks such as object recognition and path optimization. However, it involves assembling vast datasets, building neural networks, training and evaluating models, often requiring specialized hardware and complex theoretical understanding.

Learn the BMS operation by gaining insight into its cell behaviour, exploring multi domain modelling to define BMS algorithm. Apply parameterization for SOC and SOH estimation, thermal analysis, etc. Evaluate system behaviour through simulation, verification, and validation. Generate code and apply hardware in the loop testing.