A higher prediction accuracy–based alpha–beta filter algorithm using the feedforward artificial neural network
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 …
example, navigation and target tracking systems. To improve the dynamic performance of …
A review of Kalman filter with artificial intelligence techniques
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 …
many cases, it is not easy to estimate the exact state of the system due to many reasons …
Optimization or architecture: How to hack kalman filtering
I Greenberg, N Yannay… - Advances in Neural …, 2024 - proceedings.neurips.cc
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 …
networks to the standard linear Kalman Filter (KF). We observe that this mixes the evaluation …
Ann based learning to kalman filter algorithm for indoor environment prediction in smart greenhouse
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 …
improving the accuracy of prediction algorithms in dynamic conditions. The proposed model …
Ensemble prediction approach based on learning to statistical model for efficient building energy consumption management
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 …
becomes an essential aspect of resource planning and operations. In the last few decades …
Artificial neural network and adaptive neuro-fuzzy interface system modelling to predict thermal performances of thermoelectric generator for waste heat recovery
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 …
adaptive neuro-fuzzy interface system (ANFIS) to predict the thermal performances of the …
Experimental study of outdoor UAV localization and tracking using passive RF sensing
U Bhattacherjee, E Ozturk, O Ozdemir… - Proceedings of the 15th …, 2022 - dl.acm.org
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 …
concerns among individuals and communities. In this context, detection and localization of …
Experimental study for artificial neural network modeling on thermal and flow performances of electric traction motor with oil spray cooling
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 …
generation electric traction motor. The performance of oil spray cooling needs to be mapped …
An improved alpha beta filter using a deep extreme learning machine
This paper introduces new learning to the prediction model to enhance the prediction
algorithms' performance in dynamic circumstances. We have proposed a novel technique …
algorithms' performance in dynamic circumstances. We have proposed a novel technique …
[Retracted] E‐Commerce Logistics Inspection System Based on Artificial Intelligence Technology in the Context of Big Data
X Chen - Security and Communication Networks, 2022 - Wiley Online Library
With the development of science and technology, the logistics industry has generally
introduced information technology, and the construction of intelligent warehouse …
introduced information technology, and the construction of intelligent warehouse …