MATHEMATICAL modelsVALUES (Ethics)Kalman Filter (KF) that is also known as linear quadratic estimation filter estimates current states of a system through time as recursive using input measurements in mathematical process model. Thus algorithm is implemented in two steps: in the prediction step an ...
The math for implementing the Kalman filter appears pretty scary and opaque in most places you find on Google. That’s a bad state of affairs, because the Kalman filter is actually super simple and easy to understand if you look at it in the right way. Thus it makes a great article top...
A review on the state-of-the-art technologies of electric vehicle, its impacts and prospects Renew. Sustain. Energy Rev., 49 (2015), pp. 365-385 View PDFView articleView in ScopusGoogle Scholar [33] D.B. Richardson Electric vehicles and the electric grid: a review of modeling approaches...
Although computational models were successfully completed, no experimental validation was given. A dynamic analysis was conducted on the NDZ problem by122 to investigate the impact of the accelerating gain K and the parameters Cfo on the NDZ mapping and size. The range of Qf values for which the...
Computational methods, such as machine learning and mathematical models, can help doctors and scientists to predict the likely course of a patient’s disease, such as tumour growth in a person with cancer. These methods rely on various kinds of data, e.g. imaging, but these data are collecte...
2Review The following literature review provides important landmarks for the EnKF novice. State-space models and the filtering problem have been investigated since the 1960s. Early results include the Kalman filter (KF) [2] as algorithm for linear systems and the Bayesian filtering equations [15...
Review on smart grid load forecasting for smart energy management using machine learning and deep learning techniques 2024, Energy Reports Citation Excerpt : Such imbalances, observed in numerous case studies, can lead to disruptions in the network (Aftab et al., 2021), manifesting as voltage fluct...
In this paper, we present a comprehensive review of the development and recent advances in deep learning for trajectory computing (DL4Traj). We first define trajectory data and provide a brief overview of widely-used deep learning models. Systematically, we explore deep learning applications in ...
However, there are few research literatures on vibration control strategies of aircraft hydraulic pipeline. Combining with the development trend of aircraft hydraulic pipeline system and the requirement of vibration control technologies, this paper provides a detailed review on the current vibration control...
We focused the review on the following: (1) methodologies employed to assess the validity and reliability of wearables for running gait assessment; (2) the application of wearables to assess running gait (i.e. aims, participants, environment, sensor type/location, protocol); (3) commonly ...