The alpha–beta filter algorithm has been widely researched for various applications, for
example, navigation and target tracking systems. To improve the dynamic performance of …

Kalman filter (KF) is a widely used estimation algorithm for many applications. However, in
many cases, it is not easy to estimate the exact state of the system due to many reasons …

A Bayes filter is a widely used estimation algorithm, but it has inherent limitations.
Performance can degrade when the dynamics are highly nonlinear or when the probability …

In non-linear filtering, it is traditional to compare non-linear architectures such as neural
networks to the standard linear Kalman Filter (KF). We observe that this mixes the evaluation …

In this article, we have proposed a learning to prediction based novel approach for
improving the accuracy of prediction algorithms in dynamic conditions. The proposed model …

With the development of modern power systems (smart grid), energy consumption prediction
becomes an essential aspect of resource planning and operations. In the last few decades …

The oil spray cooling is emerging as advanced thermal management technique for next
generation electric traction motor. The performance of oil spray cooling needs to be mapped …

Extensive use of unmanned aerial vehicles (UAVs) is expected to raise privacy and security
concerns among individuals and communities. In this context, detection and localization of …

The present study elaborates the suitability of the artificial neural network (ANN) and
adaptive neuro-fuzzy interface system (ANFIS) to predict the thermal performances of the …

The limitations of existing commercial indirect liquid cooling have drawn attention to direct
liquid cooling for battery thermal management in next-generation electric vehicles. To …