Results 101 to 110 of about 95,139 (292)

Adaptive Model Prediction of Unmanned Agricultural Machinery for Tracking Control in Mountain Environment

IEEE Access
In order to improve the trajectory tracking accuracy and body stability of unmanned agricultural machinery in mountainous environment, this paper designs the adaptive forgetting factor related to the driving state of the agricultural machinery, and then ...
Fuchao Liu, Wenjue Chen, Hailin Zhao
doaj   +1 more source

A Novel Deep Temporal Feature Enhanced Just‐in‐Time Learning Framework for Predicting Rare Earth Component Content

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Real‐time online detection of rare earth element component contents is a crucial link in ensuring the stable production of the rare earth extraction and separation industry and improving the quality of rare earth products. The traditional methods for predicting the content of rare earth element components based on just‐in‐time learning fail to
Zhaohui Huang, Liangfang Liao, Chunfa Liao, Hui Zhang, Tao Qi, Rongxiu Lu, Wenhao Dai   +6 more
wiley   +1 more source

Real‐Time Parameter Identification and State of Charge Estimation of Electric Vehicle Batteries

Engineering Reports
Accurate determination of the state of charge (SOC) is crucial for carrying out a range of battery management tasks. Meanwhile, for figuring out the SOC, it is crucial to determine the battery model parameters as they can vary based on the operating ...
A. Maheshwari, S. Nageswari, R. Palanisamy, B. Karthikeyan, Mohamed Metwally Mahmoud, Daniel Eutyche Mbadjoun Wapet, Ali M. El‐Rifaie, Ezzeddine Touti, Ahmed I. Omar   +8 more
doaj   +1 more source

Impact of Early Antimalarial Adherence on Future Acute Care Utilization and Cost Among Patients With Rheumatoid Arthritis and Systemic Lupus Erythematosus: A Population‐Based Study

Arthritis &Rheumatology, EarlyView.
Objective To assess the association between early antimalarial adherence and future acute care utilization and cost in a population‐based cohort of incident rheumatoid arthritis (RA) and systemic lupus erythematosus (SLE). Methods All patients with incident RA/SLE and new antimalarial use in British Columbia, Canada, between January 1997 and March 2022
Md Rashedul Hoque, Diane Lacaille, J. Antonio Aviña‐Zubieta, Mary A. De Vera, Yi Qian, Lawrence McCandless, John M. Esdaile, Hui Xie   +7 more
wiley   +1 more source

Research of Slope Shift Strategy for Vehicle Automatic Transmission based on Slope and Vehicle Mass Identification

Jixie chuandong, 2017
The slope and vehicle mass are identified in real time by using the variable forgetting factor least square method which have strong adaptability and good following performance.
Xia Guang, Tu Botao, Tang Xiwen, Sun Baoqun   +3 more
doaj  

Development of interactive MRI‐based 3D visualization tools for neuroanatomy education in Latin America

Anatomical Sciences Education, EarlyView.
Abstract The study of neuroanatomy is fundamental in many scientific fields. Despite this, it is a challenging subject for students. As technology evolves, it is being increasingly incorporated into educational methods, including the teaching of neuroanatomy. Three‐dimensional (3D) visualizations are well suited for displaying neuroanatomy.
Merlin J. Fair, Diego Cureño, Alejandro De León Cuevas, Paola Ocampo Luna, Marta Bianciardi, María G. García‐Gomar   +5 more
wiley   +1 more source

An Adaptive Hammerstein Model for FES-Induced Torque Prediction Based on Variable Forgetting Factor Recursive Least Squares Algorithm

IEEE Transactions on Neural Systems and Rehabilitation Engineering
Modeling the muscle response to functional electrical stimulation (FES) is an important step during model-based FES control system design. The Hammerstein structure is widely used in simulating this nonlinear biomechanical response.
Qinlian Yang, Yingqi Li, You Li, Manxu Zheng, Rong Song   +4 more
doaj   +1 more source

Moving beyond neurophobia to cultivate the neuroquisitive learner

Anatomical Sciences Education, EarlyView.
Abstract “Neurophobia,” a pervasive fear of the neurological sciences, poses a significant barrier in medical education, affecting learners and physicians worldwide. Its consequences are far‐reaching, contributing to a limited neurology workforce and diminished confidence among non‐specialists in managing neurological conditions.
Joanna R. Appel, Kirsten A. Porter‐Stransky   +1 more
wiley   +1 more source

DNN-Based ADNMPC of an Industrial Pickling Cold-Rolled Titanium Process via Field Enhancement Heat Exchange

International Journal of Chemical Engineering, 2015
The dynamic neural network based adaptive direct nonlinear model predictive control is designed to control an industrial microwave heating pickling cold-rolled titanium process. The identifier of the direct adaptive nonlinear model identification and the
Biao Yang, Jinhui Peng, Wei Li, Youling Li, Huilong Luo, Zhuming Zhang, Shenghui Guo, Shimin Zhang, Hezhou Su, Yaming Shi   +9 more
doaj   +1 more source

Context‐centric proactive information delivery for Knowledge Work support: Opportunities, challenges, and directions. An Annual Review of Information Science and Technology (ARIST)

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Context‐centric proactive information delivery (PID) is a relatively underexplored domain within recommender systems (RS) aimed at enhancing Knowledge Workers' productivity by proactively providing relevant information during digital tasks.
Mahta Bakhshizadeh, Christian Jilek, Markus Schröder, Heiko Maus, Andreas Dengel   +4 more
wiley   +1 more source