Develo** a national data-driven construction safety management framework with interpretable fatal accident prediction
Occupational accidents are frequent in the construction industry, containing significant risks
in the working environment. Therefore, early designation, taking preventive actions, and …
in the working environment. Therefore, early designation, taking preventive actions, and …
On distributed computing continuum systems
This article presents our vision on the need of develo** new managing technologies to
harness distributed “computing continuum” systems. These systems are concurrently …
harness distributed “computing continuum” systems. These systems are concurrently …
The selection of industry 4.0 technologies through Bayesian networks: an operational perspective
Many manufacturing firms today are considering whether to adopt one or more technologies
associated with the Industry 4.0 vision. Yet, neither academic nor practitioner literature …
associated with the Industry 4.0 vision. Yet, neither academic nor practitioner literature …
An efficient Bayesian network structure learning algorithm based on structural information
Bayesian networks (BNs) are probabilistic graphical models regarded as some of the most
compelling theoretical models in the field of representation and reasoning under uncertainty …
compelling theoretical models in the field of representation and reasoning under uncertainty …
Does supply chain matter for environmental firm performance: mediating role of financial development in China
W Zhao, ZS Luo, Q Liu - Economic Change and Restructuring, 2023 - Springer
The purpose of this research is to understand the impact of technological innovation on
corporate social responsibility and corporate environmental performance, as well as the …
corporate social responsibility and corporate environmental performance, as well as the …
A novel population robustness-based switching response framework for solving dynamic multi-objective problems
In this paper, a novel population robustness-based switching response framework (PR-SRF)
is proposed to develop effective dynamic multi-objective optimization algorithm (DMOA) …
is proposed to develop effective dynamic multi-objective optimization algorithm (DMOA) …
Multi-Agent Genetic Algorithm for Bayesian networks structural learning
Bayesian networks (BNs) are a powerful probabilistic graphical tool for modeling
relationships between random variables in an interpretable way. The relationships among …
relationships between random variables in an interpretable way. The relationships among …
[PDF][PDF] Self-Awakened Particle Swarm Optimization BN Structure Learning Algorithm Based on Search Space Constraint.
K Liu, P Li, Y Zhang, J Ren, X Wang… - Computers, Materials & …, 2023 - cdn.techscience.cn
To obtain the optimal Bayesian network (BN) structure, researchers often use the hybrid
learning algorithm that combines the constraint-based (CB) method and the score-and …
learning algorithm that combines the constraint-based (CB) method and the score-and …
Real-time water demand pattern estimation using an optimized extended Kalman filter
This study presents a hybrid approach for the estimation of real-time water demand
multipliers using the Kalman filter (KF) and extended Kalman filter (EKF). Multiple Linear …
multipliers using the Kalman filter (KF) and extended Kalman filter (EKF). Multiple Linear …
[HTML][HTML] Higher Education in China during the Pandemic: Analyzing Online Self-Learning Motivation Using Bayesian Networks
J Li, Y Chang, S Liu, C Cai, Q Zhou, X Cai, W Lai, J Qi… - Sustainability, 2024 - mdpi.com
The COVID-19 pandemic has led to an unprecedented shift towards online learning,
compelling university students worldwide to engage in self-directed learning within remote …
compelling university students worldwide to engage in self-directed learning within remote …