Machine Learning–Enabled Web Development for Manufacturing Delivers 70% Increase in User Subscriptions

Using Python, web scraping, and advanced algorithms, the solution aggregates real-time data from marketplaces to deliver ...

Vaibhav Tummalapalli- Targeting The EV-Ready: Inside The AI Models Doubling Conversion Rates For Auto Brands

Vaibhav Tummalapalli is using AI-driven models and scalable data platforms to help auto brands identify and convert ...

AACR: New platform uses machine learning to predict responses in patients with lung cancer

An artificial intelligence (AI) model developed by researchers at The University of Texas MD Anderson Cancer Center ...
IEEE

A Model-free Predictive Current Control-Based Fault-Tolerant Scheme for Dual Three-Phase PMSM Drives with Minimized Copper Loss

Abstract: This paper presents a model-free predictive current control (MFPCC) strategy for dual three-phase permanent magnet synchronous motor (DTP-PMSM) drives that specifically aims to minimize ...
IEEE

Model Predictive Fault-Tolerant Control Strategy for Two-Phase Open-Circuit Faults in Five-Phase FTPMM Based on Indirect Optimization Method

Abstract: This article proposes a model predictive fault-tolerant control (MPFTC) strategy for a five-phase fault-tolerant permanent magnet motor (FTPMM) under two-phase open-circuit (OC) faults.