A systematic review of data-driven approaches to fault diagnosis and early warning
As an important stage of life cycle management, machinery PHM (prognostics and health
management), an emerging subject in mechanical engineering, has seen a huge amount of …
management), an emerging subject in mechanical engineering, has seen a huge amount of …
Demand forecasting for fashion products: A systematic review
K Swaminathan, R Venkitasubramony - International Journal of Forecasting, 2024 - Elsevier
Fashion is one of the most challenging categories for forecasting demand. Our study
provides a systematic literature review of the different forecasting techniques used in the …
provides a systematic literature review of the different forecasting techniques used in the …
Exploring the power of machine learning to predict carbon dioxide trapping efficiency in saline aquifers for carbon geological storage project
Carbon geological sequestration (CGS) in saline aquifers is an effective carbon utilization
approach to decrease the effect of greenhouse gases on the atmosphere. However, the …
approach to decrease the effect of greenhouse gases on the atmosphere. However, the …
Modeling the SOFC by BP neural network algorithm
S Song, X Xiong, X Wu, Z Xue - International Journal of Hydrogen Energy, 2021 - Elsevier
Solid oxide fuel cells (SOFCs) are complex systems in which electrochemistry,
thermophysics and ion conduction occur simultaneously. The coupling of the multi-physics …
thermophysics and ion conduction occur simultaneously. The coupling of the multi-physics …
Injury severity prediction of traffic crashes with ensemble machine learning techniques: A comparative study
A better understanding of injury severity risk factors is fundamental to improving crash
prediction and effective implementation of appropriate mitigation strategies. Traditional …
prediction and effective implementation of appropriate mitigation strategies. Traditional …
Application of robust intelligent schemes for accurate modelling interfacial tension of CO2 brine systems: Implications for structural CO2 trapping
Given the current global climate change, renewable energy sources, carbon capture,
utilization, and storage (CCUS) are being considered as a potential solutions to this critical …
utilization, and storage (CCUS) are being considered as a potential solutions to this critical …
Determining the critical risk factors for predicting the severity of ship collision accidents using a data-driven approach
H Lan, X Ma, W Qiao, W Deng - Reliability Engineering & System Safety, 2023 - Elsevier
Ship collision accidents often result in serious casualties and property losses. Predicting the
severity of ship collisions is beneficial to improve maritime transport safety. Therefore, this …
severity of ship collisions is beneficial to improve maritime transport safety. Therefore, this …
Development of exact and heuristic optimization methods for safety improvement projects at level crossings under conflicting objectives
A significant number of accidents occur each year at level crossings globally. Substantial
efforts are being made by different railway authorities and other stakeholders to prevent …
efforts are being made by different railway authorities and other stakeholders to prevent …
Risk prediction and early warning for air traffic controllers' unsafe acts using association rule mining and random forest
R Xu, F Luo - Safety science, 2021 - Elsevier
In the context of big data, scientific judgment of the future trend or state of unsafe acts of air
traffic controllers (ATCers) plays an important role in the prevention of unsafe incidents …
traffic controllers (ATCers) plays an important role in the prevention of unsafe incidents …
A trust aware security mechanism to detect sinkhole attack in RPL-based IoT environment using random forest–RFTRUST
K Prathapchandran, T Janani - Computer Networks, 2021 - Elsevier
Abstract The Internet of Things (IoT) plays a vital role in many application domains like
battlefield surveillance, wildlife monitoring, disaster response, medical care, transportation …
battlefield surveillance, wildlife monitoring, disaster response, medical care, transportation …