Machine learning models are designed to take in data, to find patterns or relationships within those data, and to use what ...
Abstract: This study focuses on accurately predicting the excitation current in synchronous motors using a hybrid machine learning algorithm. Given the critical role of excitation current in ...
MOTORISTS face paying £100 more a year if Chancellor Rachel Reeves hikes fuel duty in the Budget, new research warns. Household budgets across the country would be drained by a staggering £7.3 ...
From chatbots such as ChatGPT to self-driving cars, artificial intelligence (AI) is transforming the world, and students at Carlmont aren’t just watching from the sidelines. Carlmont’s AI and Machine ...
Abstract: BLDC motor failures, which are widely used in industry, can cause work disruption and occupational accidents. The aim of this study is to provide early diagnosis of bearing failures in BLDC ...