Space vector modulation (SVM) is a sophisticated digital control technique that improves three-phase inverter performance over traditional sinusoidal PWM (SPWM). SVM’s higher DC bus utilization ...

According to Andrew Ng (@AndrewYNg), the new Agentic AI course on deeplearning.ai teaches practical skills for building AI agents, a rapidly growing area in the job market. The curriculum covers four ...

Abstract: Code smells violate best practices in software development that make code difficult to understand and maintain. Code smell detection tools help practitioners detect maintainability issues ...

In this tutorial, we will discover how to harness the power of an advanced AI Agent, augmented with both Python execution and result-validation capabilities, to tackle complex computational tasks. By ...

This project explores the mathematical and practical implementation of Support Vector Machines (SVMs) optimized using Stochastic Gradient Descent (SGD). It includes a theoretical foundation, algorithm ...

In this tutorial, we demonstrate how to evaluate the quality of LLM-generated responses using Atla’s Python SDK, a powerful tool for automating evaluation workflows with natural language criteria.

Chief Minister Shri Pushkar Singh Dhami officially announced the implementation of the Uniform Civil Code (UCC) in Uttarakhand, declaring the day as historic not only for the state but also for the ...

The aim of this enhancement is to improve the SVM model's training efficiency by incorporating an early stopping mechanism to prevent overfitting, as well as to provide a detailed performance ...

Abstract: For high-power wind power converters, space vector modulation (SVM) methods can improve the utilization rate of DC voltage, lower switching losses, but conventional SVM is complicated to ...