A review of machine learning methods applied to structural dynamics and vibroacoustic
Abstract The use of Machine Learning (ML) has rapidly spread across several fields of
applied sciences, having encountered many applications in Structural Dynamics and …
applied sciences, having encountered many applications in Structural Dynamics and …
Evolutionary computation modelling for structural health monitoring of critical infrastructure
Monitoring of critical infrastructure for Structural Health Monitoring (SHM) is vital for the
detection of structural damage (cracks or voids) at an initial stage, thus increasing the …
detection of structural damage (cracks or voids) at an initial stage, thus increasing the …
Vehicular traffic simulation software: A systematic comparative analysis
MR Ullah, KS Khattak, ZH Khan… - Pakistan Journal of …, 2021 - journals.uol.edu.pk
With increasing urbanization, the importance of intelligent transportation system (ITS) has
become paramount for devising future smart cities. ITSs encompassing policy, planning …
become paramount for devising future smart cities. ITSs encompassing policy, planning …
A DEA-ANN-based analytical framework to assess and predict the efficiency of Canadian universities in a service supply chain context
Purpose This research is about embedding service-based supply chain management (SCM)
concepts in the education sector. Due to Canada's competitive education sector, the authors …
concepts in the education sector. Due to Canada's competitive education sector, the authors …
Used cars price prediction using machine learning with optimal features
M Asghar, K Mehmood, S Yasin… - Pakistan Journal of …, 2021 - journals.uol.edu.pk
We all are needed the personal vehicle that could help us to travel from home to office and
travel to vocations means we need the personal vehicle for traveling for this we purchase the …
travel to vocations means we need the personal vehicle for traveling for this we purchase the …
A hybrid clustering-based type-2 adaptive neuro-fuzzy forecasting model for smart control systems
The practical applicability of smart control systems suffers from the existence of uncertainty
in the physical parameters, sensor measurements and external excitations. Effective …
in the physical parameters, sensor measurements and external excitations. Effective …
Rolling-optimized model predictive vibration controller for offshore platforms subjected to random waves and winds under uncertain sensing delay
H Ma, Y Zhang, SQ Wang, J Xu, H Su - Ocean Engineering, 2022 - Elsevier
In this paper, we investigate the vibration control problem in an offshore platform control
structure. A model predictive controller is designed under internal model principle (IMP) and …
structure. A model predictive controller is designed under internal model principle (IMP) and …
Model Predictive Control Coupled with Artificial Intelligence for Eddy Current Dynamometers
The recent studies on Artificial Intelligence (AI) accompanied by enhanced computing
capabilities supports increasing attention into traditional control methods coupled with AI …
capabilities supports increasing attention into traditional control methods coupled with AI …
[PDF][PDF] A generalized ANFIS controller for vibration mitigation of uncertain building structure
A novel combinatorial type-2 adaptive neuro-fuzzy inference system (T2-ANFIS) and robust
proportional integral derivative (PID) control framework for intelligent vibration mitigation of …
proportional integral derivative (PID) control framework for intelligent vibration mitigation of …
PSO and NNPC-based integrative control allocation for dynamic positioning ships with thruster constraints
F Deng, H Zhang, Q Ding, S Zhang, Z Du, H Yang - Ocean Engineering, 2024 - Elsevier
In order to overcome the issues of thrust saturation, uneven energy consumption and
suboptimal control associated with the traditional hierarchical control strategy employed in …
suboptimal control associated with the traditional hierarchical control strategy employed in …