Results 91 to 100 of about 48,416 (251)

Transfer Learning Approaches in Bioprocess Engineering: Opportunities and Challenges

Biotechnology and Bioengineering, EarlyView.
ABSTRACT Transfer learning (TL) has recently emerged as a promising approach to overcoming one of the key limitations of bioprocess engineering: data scarcity. By leveraging knowledge from one bioprocess to another, TL allows existing models and data sets to be reused efficiently, accelerating process development, improving prediction accuracy, and ...
Daniel Barón Díaz, Anna‐Lena Drommershausen, Alexander Grünberger, Dirk Holtmann   +3 more
wiley   +1 more source

Target Tracking Using SePDAF under Ambiguous Angles for Distributed Array Radar

Sensors, 2016
Distributed array radar can improve radar detection capability and measurement accuracy. However, it will suffer cyclic ambiguity in its angle estimates according to the spatial Nyquist sampling theorem since the large sparse array is undersampling ...
Teng Long, Honggang Zhang, Tao Zeng, Xinliang Chen, Quanhua Liu, Le Zheng   +5 more
doaj   +1 more source

Molecular Dynamics Simulations of γ‐Belite(010)–Water Interfaces With High‐Dimensional Neural Network Potentials

Chemistry – A European Journal, EarlyView.
Several γ$\gamma$‐belite(010)–water interfaces have been studied by molecular dynamics simulations using a high‐dimensional neural network potential. The structure and reactivity of interfacial water have been analyzed and two types of surface defects could be identified, which indicate the possible existence of a wide range of surface structures ...
Bernadeta Prus, Jörg Behler
wiley   +1 more source

Design and Implementation of a Laboratory Course for UWB-Based Positioning via Two-Way Ranging with Kalman Filter Data Fusion [PDF]

E3S Web of Conferences
This article presents an original solution for a laboratory work on the application of Two Way Ranging Ultra-Wide Band positioning methods, designed for courses in technical universities and institutes.
Skliar Natalia, Khelvas Aleksandr, Kostin Roman, Gilya-Zetinov Aleksandr, Alizadeh Ali, Danilov Albert, Saidov Abuk, Severov Dmitry, Pashkov Ruslan, Marinovich Mikhail, Pavlovich Roman   +10 more
doaj   +1 more source

Distributed Kalman filtering

, 2012
In this chapter, the theory and analytical development of distributed Kalman filtering based on various methods are provided. In one method, the weighted averages, based on the Bayesian point of view, yield the best possible estimate of the state at a particular time instant that can be computed from the conditional probability distribution of state x ...
openaire   +1 more source

Application of optical distributed sensing and computation to control of large space structures [PDF]

A real time holographic sensing technique is introduced and its advantages are investigated from the filtering and control point of view. A feature of holographic sensing is its capability to make distributed measurements of the position and velocity of ...
Balakrishnan, A. V.
core   +1 more source

A hidden Markov model and reinforcement learning‐based strategy for fault‐tolerant control

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract This study introduces a data‐driven control strategy integrating hidden Markov models (HMM) and reinforcement learning (RL) to achieve resilient, fault‐tolerant operation against persistent disturbances in nonlinear chemical processes. Called hidden Markov model and reinforcement learning (HMMRL), this strategy is evaluated in two case studies
Tamera Leitao, Debaprasad Dutta, Simant R. Upreti   +2 more
wiley   +1 more source

Sample greedy gossip distributed Kalman filter

Information Fusion, 2020
Abstract This paper investigates the problem of distributed state estimation over a low-cost sensor network and proposes a new sample greedy gossip distributed Kalman filter. The proposed algorithm leverages the information weighted fusion concept and the sample greedy gossip averaging protocol.
Hyo-Sang Shin, Shaoming He, Antonios Tsourdos   +2 more
openaire   +3 more sources

Bayesian inverse ensemble forecasting for COVID‐19

Canadian Journal of Statistics, EarlyView.
Abstract Variations in strains of COVID‐19 have a significant impact on the rate of surges and on the accuracy of forecasts of the epidemic dynamics. The primary goal for this article is to quantify the effects of varying strains of COVID‐19 on ensemble forecasts of individual “surges.” By modelling the disease dynamics with an SIR model, we solve the ...
Kimberly Kroetch, Don Estep
wiley   +1 more source

A Distributed Collaborative Navigation Strategy Based on Adaptive Extended Kalman Filter Integrated Positioning and Model Predictive Control for Global Navigation Satellite System/Inertial Navigation System Dual-Robot

Remote Sensing
In the field of multi-robot cooperative localization and task planning, traditional filtering algorithms encounter synchronization and consistency issues during multi-source data fusion.
Wanqiang Chen, Yunpeng Jing, Shuo Zhao, Lei Yan, Quancheng Liu, Zichang He   +5 more
doaj   +1 more source