Results 161 to 170 of about 26,219 (311)

Reducing Quantitative Fluctuation of Laser-Induced Breakdown Spectroscopy by Kalman Filtering

, 2013
Laser-induced breakdown spectroscopy (LIBS) is excellent for its potential of online compositional analysis. Large signal fluctuation is the major obstacle of LIBS for quantitative analysis application.
Qi LF(齐立峰), Cong ZB(丛智博), Li Y(李洋), Sun LX(孙兰香), Xin Y(辛勇)   +4 more
core  

Heat Tolerance Limits in Indoor Environments: Prolonged Fixed‐Condition Exposure Versus Humidity‐Ramp Protocols

Safety Science and Technology, EarlyView.
Fast ramp humidity protocols systematically underestimate human heat tolerance by failing to match physiological equilibration timescales. Prolonged fixed‐condition exposures reveal substantially higher sustainable wet‐bulb limits, supporting their use as the gold standard and motivating slower, equilibration‐based ramp designs for accurate heat risk ...
Fèlix Faming Wang, Yi Xu, Wentao Wu
wiley   +1 more source

Intelligent Advisor System for Prescriptive Maintenance of Engineered Assets Using Failure Modes, Effects and Criticality Analysis, Knowledge Graph and Machine Learning

Artificial Intelligence for Engineering, EarlyView.
This paper presents an intelligent advisor for prescriptive maintenance that integrates FMECA, machine learning, and knowledge graphs to support fault diagnosis and root‐cause analysis. Validated on a linear actuator, the framework enhances diagnostic interpretability and traceability, linking sensor‐level anomalies to transparent knowledge‐driven ...
Hongyi Lin, Agusmian Partogi Ompusunggu
wiley   +1 more source

Data privacy model using blockchain reinforcement federated learning approach for scalable internet of medical things

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha, Mohammad Kamrul Hasan, Shayla Islam, Shailesh Khapre, Salwani Abdullah, Taher M. Ghazal, Ahmed Ibrahim Alzahrani, Nasser Alalwan, Nguyen Vo, Md Akhtaruzzaman   +9 more
wiley   +1 more source

Adaptive filtering applications to satellite navigation

, 2010
PhDDifferential Global Navigation Satellite Systems employ the extended Kalman filter to estimate the reference position error. High accuracy integrated navigation systems have the ability to mix traditional inertial sensor outputs with navigation ...
Zhahir, Md Amzari
core  

Graph neural network‐based attack prediction for communication‐based train control systems

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract The Advanced Persistent Threats (APTs) have emerged as one of the key security challenges to industrial control systems. APTs are complex multi‐step attacks, and they are naturally diverse and complex. Therefore, it is important to comprehend the behaviour of APT attackers and anticipate the upcoming attack actions.
Junyi Zhao, Tao Tang, Bing Bu, Qichang Li   +3 more
wiley   +1 more source

Combining kernelised autoencoding and centroid prediction for dynamic multi‐objective optimisation

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Evolutionary algorithms face significant challenges when dealing with dynamic multi‐objective optimisation because Pareto optimal solutions and/or Pareto optimal fronts change. The authors propose a unified paradigm, which combines the kernelised autoncoding evolutionary search and the centroid‐based prediction (denoted by KAEP), for solving ...
Zhanglu Hou, Juan Zou, Gan Ruan, Yuan Liu, Yizhang Xia   +4 more
wiley   +1 more source

Evolutionary Dynamic Multiobjective Optimisation Assisted by Inverse Regression Tree Predictor

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Dynamic multiobjective optimisation problems (DMOPs) are optimisation problems with multiple conflicting objectives that can change over time. Most dynamic multiobjective optimisation evolutionary algorithms (DMOEAs) attempt to estimate Pareto‐optimal sets (PS) directly in the decision space.
Kai Gao, Lihong Xu
wiley   +1 more source

A Dynamic Correlation‐Information‐Fusion‐Based Spatiotemporal Network for Traffic Flow Forecasting

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Traffic Flow Forecasting (TFF) is a foundational task in the development of Intelligent Transport Systems (ITSs). The primary challenge is to undertake a comprehensive exploration of the intrinsic dynamic spatiotemporal correlations of the road network, unveiling the long‐term evolutionary traffic trends.
Dawen Xia, Zhan Lin, Xingyan Wang, Ruixi Huang, Jinhui Hu, Yang Hu, Huaqing Li   +6 more
wiley   +1 more source

Application of adaptive Kalman filter in rocket impact point estimation

Journal of Measurement Science and Instrumentation, 2015
In order to measure the parameters of flight rocket by using radar,rocket impact point was estimated accurately for rocket trajectory correction.The Kalman filter with adaptive filter gain matrix was adopted.According to the particle trajectory model,the
YAN Xiao-long, CHEN Guo-guang, BAI Dun-zhuo   +2 more
doaj