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Generative AI design for building structures
Designing building structures presents various challenges, including inefficient design
processes, limited data reuse, and the underutilization of previous design experience …
processes, limited data reuse, and the underutilization of previous design experience …
Fuzzy control systems: Past, present and future
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 …
complex processes, the research on fuzzy control systems has constantly evolved. Mamdani …
Nonsingular fixed-time fault-tolerant fuzzy control for switched uncertain nonlinear systems
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 …
nonlinear switched systems with dynamic uncertainties. Actuator faults considered in this …
A survey of machine learning techniques applied to self-organizing cellular networks
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 …
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
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 …
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
Environmental emissions, global warming, and energy-related concerns have accelerated
the advancements in conventional vehicles that primarily use internal combustion engines …
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
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 …
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
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 …
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 …
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
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 …
of uncertain switched nonstrict-feedback nonlinear systems with unmodeled dynamics and …