Technological developments over the past two decades have resulted in the development of
more accurate and lightweight low-cost magnetic and inertial measurement units (MIMUs) …

The main goal of the paper is to achieve a highly accurate measurement of yaw/heading
without the support of the Global Positioning System (GPS) and magnetometer by using a …

The paper's main goal is to accomplish a high accuracy of yaw/heading by Machine
Learning approach when the motion range of vehicle/device calibration is limited. The …

Smart sensors, transducers, and sensor networks are undergoing, in recent years, a
profound transformation thanks to the spread of new communication protocols based on the …

Accelerometer of the Microelectromechanical systems (MEMS) based inertial measurement
units (IMUs) is key to inclination measurement in the industry 4.0. However, external …

The paper works on the new combination between the No Motion No Integration filter
(NMNI) and the Kalman Filter (KF) to optimize the conducted vibration for orientation angles …

Stability is the key to maintain and control the drone, which is challenged by significant noise
from drone motors during operation. The paper presents the Kalman filter and …

The article presents a research of angular orientation based on a microelectromechanical
system (MEMS) accelerometer by using machine learning (ML) and deep learning (DL) …

The sophistication and high accuracy of Deep Neural Networks have gotten significant
attention in recent years, with a wide range of applications making use of their capabilities …

In the heavy industry, high-quality inclinometer has been required in terms of accuracy,
stability, and safety function for durable use in harsh environments. This paper proposes a …