Results 51 to 60 of about 186,344 (275)
Graph‐based imitation and reinforcement learning for efficient Benders decomposition
AIChE Journal, EarlyView.Abstract This work introduces an end‐to‐end graph‐based agent for accelerating the computational efficiency of Benders Decomposition. The agent's policy is parameterized by a graph neural network, which takes as input a bipartite graph representation of the master problem and proposes a candidate solution.
Bernard T. Agyeman +3 more
wiley +1 more source
IMPLEMENTASI DAN PENGUJIAN ALGORITMA PARALLEL KALMAN FILTER PADA PLATFORM KOMPUTER MULTICORE
Komputika, 2021 Kalman filter merupakan algoritma penting dalam dunia pemrograman yang penggunaannya sangat luas. Dari mulai penggunaan pada pemrosesan gambar hingga ke kontrol navigasi pesawat terbang.
Arkan Muhammad Irsyad Sadeli
doaj
Toward Environmentally Friendly Hydrogel‐Based Flexible Intelligent Sensor Systems
Advanced Intelligent Discovery, EarlyView.This review summarizes environmentally and biologically friendly hydrogel‐based flexible sensor systems focusing on physical, chemical, and physiological sensors. Furthermore, device concepts moving forward for the practical application are discussed about wireless integration, the interface between hydrogel and dry electronics, automatic data analysis
Sudipta Kumar Sarkar, Kuniharu Takei
wiley +1 more source
FILTERING FEATURES FOR TRACKING OF SPIRALING REENTRY VEHICLES
Доклады Белорусского государственного университета информатики и радиоэлектроники, 2019 The target dynamics model for tracking of spiraling reentry vehicles is considered. The features of Extended Kalman filter modification and Unscented Kalman filter are listed.
A. S. Solonar, P. A. Khmarski
doaj
Study on Application and Development of Composite Kalman Filter in Geomagnetic Navigation [PDF]
Hangkong bingqiGeomagnetic navigation, as an autonomous, passive, and highly concealed navigation method, has garnered significant attention in recent years within the fields of aerospace and underwater navigation.
You Gaoyun, Li Xinsan, Qin Weiwei, Li Ting, Shen Qiang, Li Can, Liao Shouyi
doaj +1 more source
Online identification of a two-mass system in frequency domain using a Kalman filter [PDF]
, 2016 Some of the most widely recognized online parameter estimation techniques used in different servomechanism are the extended Kalman filter (EKF) and recursive least squares (RLS) methods.
Derammelaere, Stijn +6 more
core +3 more sources
Advanced Intelligent Discovery, EarlyView.Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin +4 more
wiley +1 more source
Considering spatiotemporal evolutionary information in dynamic multi‐objective optimisation
CAAI Transactions on Intelligence Technology, EarlyView., 2023 Abstract Preserving population diversity and providing knowledge, which are two core tasks in the dynamic multi‐objective optimisation (DMO), are challenging since the sampling space is time‐ and space‐varying. Therefore, the spatiotemporal property of evolutionary information needs to be considered in the DMO.
Qinqin Fan +3 more
wiley +1 more source
Energies, 2023 Research on batteries’ State of Charge (SOC) estimation for equivalent circuit models based on the Kalman Filter (KF) framework and machine learning algorithms remains relatively limited.
Hongyuan Yuan +3 more
doaj +1 more source
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.It is a fact that slippage causes tracking errors in both longitudinal and lateral directions which results to have less travel distance in tracking a reference trajectory. Less travel distance means having energy loss of the battery and carrying loads less than planned.
Gokhan Bayar +2 more
wiley +1 more source