Recent developments in the field of deep learning have led to the widespread integration of
artificial neural networks in various domains of application. Prominent contemporary artificial …

This paper proposes a new adaptive estimation strategy for a nonlinear system with
modeling uncertainties. The extended Kalman filter (EKF) and unscented Kalman filter (UKF) …

In this paper, the design of vehicle door weight is minimized using a newly developed
machine learning algorithm that is referred to as Grey Wolf optimizer (GWO). GWO is a …

In this paper, Chameleon Swarm Algorithm, which is a new metaheuristic algorithm, is used
to design a speed reducer gearbox. The gearbox is used in an autonomous vehicle, and it is …

In this work, a well-known mechanism that is referred to as piston lever mechanism is design
to control the wing's flange. The design targets the mechanism components and their …

Estimating the states of a manipulator is a challenging task as it consists of sinusoidal
functions that cannot be represented by a simple, linear model. In such cases, the well …

Spring-mass-damper (SMD) systems are considered a benchmark setup in vibration-based
systems. The system is considered linear for certain ranges during an excitation. For a …

In the rapidly evolving realm of machine learning, the integration of the Open Neural
Network Exchange (ONNX) has become increasingly significant, particularly in image …

Originally developed for aerospace engineering, the Kalman Filter, a mathematical
algorithm, has proven to have a novel application in mental health, providing a potential …

The paper researches a utilization of the Salp Swarm Algorithm (SSA), a bio-mimetic
optimization technique, to improve path planning in Unmanned Ground Vehicles (UGVs) …