In an era dominated by social media, misinformation has become an all too familiar foe, infiltrating our feeds and sowing seeds of doubt and confusion. With more than half of social media users across ...

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

A learning algorithm is a mathematical framework or procedure that calculates the best output given a particular set of data. It does this by updating the calculation based on the difference between ...

Start by setting the counter to the middle position in the list. If the value held there is a match, the search ends. If the value at the midpoint is less than the value to be found, the list is ...

How machine intelligence changes the rules of business by Marco Iansiti and Karim R. Lakhani In 2019, just five years after the Ant Financial Services Group was launched, the number of consumers using ...

Abstract: Sliding mode observer (SMO) in the sensorless control system of permanent magnet synchronous motor (PMSM) results in chattering and high-frequency noise, reducing the accuracy of the back ...

A compact single PCB-based sensorless system for analyzing the performance of Brushless DC (BLDC) motors, fully designed and developed in EasyEDA Pro. The system integrates an Electronic Speed ...

This research paper is about developing a closed-loop control system for brushless DC (BLDC) motors. It focuses on developing a field-oriented control (FOC) algorithm to accurately control the speed ...