Results 191 to 200 of about 144,645 (228)

Remaining Useful Life Prediction for Heterogeneous-Wearing Cutting Tools Based on Gamma Process and Bayesian Inference

2022 4th International Conference on System Reliability and Safety Engineering (SRSE), 2022
Accurate prediction of tool remaining useful life (RUL) is essential to ensure high product quality and machine reliability. Considering that the tool wearing processes are stochastic and heterogeneous, this paper proposes a RUL prediction method for ...
Yihang Wang, Ke Zou, Nan Sun, Biao Lu
semanticscholar   +1 more source

Joint Stochastic Prediction of Vessel Kinematics and Destination based on a Maritime Traffic Graph

2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), 2022
Maritime traffic increases every year, and therefore also the amount of traffic data from the Automatic Identification System (AIS). Utilizing these data on traffic patterns and possible destinations for long-term vessel prediction is here an important ...
Trym Tengesdal, Leonardo M. Millefiori, P. Braca, E. Brekke   +3 more
semanticscholar   +1 more source

Scalable Soft Sensor for Nonlinear Industrial Big Data via Bagging Stochastic Variational Gaussian Processes

IEEE transactions on industrial electronics (1982. Print), 2021
Traditional Gaussian process regression suffers from the cubic complexity and excessive computation burdens for industrial big data. To get rid of such defect, this work proposes a scalable soft sensor called bagging stochastic variational GP regression (
Jinlin Zhu, Muyun Jiang, Guohao Peng, Le Yao, Zhiqiang Ge   +4 more
semanticscholar   +1 more source

Managing Networked IoT Assets Using Practical and Scalable Traffic Inference

arXiv.org, 2023
The Internet has recently witnessed unprecedented growth of a class of connected assets called the Internet of Things (IoT). Due to relatively immature manufacturing processes and limited computing resources, IoTs have inadequate device-level security ...
Arman Pashamokhtari
semanticscholar   +1 more source

PPISB: A Novel Network-Based Algorithm of Predicting Protein-Protein Interactions With Mixed Membership Stochastic Blockmodel

IEEE/ACM Transactions on Computational Biology & Bioinformatics, 2022
Protein-protein interactions (PPIs) play an essential role for most of biological processes in cells. Many computational algorithms have thus been proposed to predict PPIs.
Xiao-juan Wang, Wen Yang, Yue Yang, Y. He, Jun Zhang, Lusheng Wang, Lun Hu   +6 more
semanticscholar   +1 more source

A Bayesian multivariate model using Hamiltonian Monte Carlo inference to estimate total organic carbon content in shale

Geophysics, 2022
Prediction of total organic carbon (TOC) content using geophysical logs is one of the key steps in shale reservoir characterization. Various empirical relations have previously been utilized for the estimation of TOC content from well logs; however ...
S. Ganguli, M. Kadri, Akash Debnath, S. Sen   +3 more
semanticscholar   +1 more source

A combined statistical and machine learning approach for spatial prediction of extreme wildfire frequencies and sizes

Extremes, 2021
Motivated by the Extreme Value Analysis 2021 (EVA 2021) data challenge, we propose a method based on statistics and machine learning for the spatial prediction of extreme wildfire frequencies and sizes.
D. Cisneros, Yan Gong, Rishikesh Yadav, A. Hazra, Raphaël Huser   +4 more
semanticscholar   +1 more source

Bayesian inference of a physical seismological model for earthquake strong-motion in south Iceland

, 2020
Earthquake ground motion prediction in Iceland where strong-motion data is scarce poses a challenge as empirical ground motion models (GMM) developed from data in other regions systematically fail to capture the consistently large near-fault peak ...
T. Sonnemann, B. Halldorsson, B. Hrafnkelsson, S. Jónsson   +3 more
semanticscholar   +1 more source