Generative AI design for building structures

W Liao, X Lu, Y Fei, Y Gu, Y Huang - Automation in Construction, 2024 - Elsevier
Designing building structures presents various challenges, including inefficient design
processes, limited data reuse, and the underutilization of previous design experience …

Fuzzy control systems: Past, present and future

AT Nguyen, T Taniguchi, L Eciolaza… - IEEE Computational …, 2019 - ieeexplore.ieee.org
More than 40 years after fuzzy logic control appeared as an effective tool to deal with
complex processes, the research on fuzzy control systems has constantly evolved. Mamdani …

Nonsingular fixed-time fault-tolerant fuzzy control for switched uncertain nonlinear systems

D Cui, Z **ang - IEEE Transactions on Fuzzy Systems, 2022 - ieeexplore.ieee.org
This article investigates the adaptive fixed-time fault-tolerant tracking fuzzy control issue for
nonlinear switched systems with dynamic uncertainties. Actuator faults considered in this …

A survey of machine learning techniques applied to self-organizing cellular networks

PV Klaine, MA Imran, O Onireti… - … Surveys & Tutorials, 2017 - ieeexplore.ieee.org
In this paper, a survey of the literature of the past 15 years involving machine learning (ML)
algorithms applied to self-organizing cellular networks is performed. In order for future …

The use of artificial intelligence (AI) methods in the prediction of thermal comfort in buildings: Energy implications of AI-based thermal comfort controls

J Ngarambe, GY Yun, M Santamouris - Energy and Buildings, 2020 - Elsevier
Buildings consume about 40% of globally-produced energy. A notable amount of this energy
is used to provide sufficient comfort levels to the building occupants. Moreover, given recent …

Artificial intelligence/machine learning in energy management systems, control, and optimization of hydrogen fuel cell vehicles

M Fayyazi, P Sardar, SI Thomas, R Daghigh, A Jamali… - Sustainability, 2023 - mdpi.com
Environmental emissions, global warming, and energy-related concerns have accelerated
the advancements in conventional vehicles that primarily use internal combustion engines …

Survey of computational intelligence as basis to big flood management: Challenges, research directions and future work

F Fotovatikhah, M Herrera… - Engineering …, 2018 - Taylor & Francis
Flooding produces debris and waste including liquids, dead animal bodies and hazardous
materials such as hospital waste. Debris causes serious threats to people's health and can …

[PDF][PDF] A survey of artificial intelligence techniques employed for adaptive educational systems within e-learning platforms

K Colchester, H Hagras, D Alghazzawi… - Journal of Artificial …, 2017 - sciendo.com
The adaptive educational systems within e-learning platforms are built in response to the
fact that the learning process is different for each and every learner. In order to provide …

A review on prognostic techniques for non-stationary and non-linear rotating systems

MS Kan, ACC Tan, J Mathew - Mechanical Systems and Signal Processing, 2015 - Elsevier
The field of prognostics has attracted significant interest from the research community in
recent times. Prognostics enables the prediction of failures in machines resulting in benefits …

Small-gain technique-based adaptive neural output-feedback fault-tolerant control of switched nonlinear systems with unmodeled dynamics

L Ma, N Xu, X Zhao, G Zong… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this article, the issue of adaptive neural fault-tolerant control (FTC) is addressed for a class
of uncertain switched nonstrict-feedback nonlinear systems with unmodeled dynamics and …