A review of genetic algorithm approaches for wildfire spread prediction calibration
Wildfires are complex natural events that cause significant environmental and property
damage, as well as human losses, every year throughout the world. In order to aid in their …
damage, as well as human losses, every year throughout the world. In order to aid in their …
A Review of Energy and Sustainability KPI-Based Monitoring and Control Methodologies on WWTPs
Humanity faces serious problems related to water supply, which will be aggravated by
population growth. The water used in human activities must be treated to make it available …
population growth. The water used in human activities must be treated to make it available …
Adaptive LSSVM based iterative prediction method for NOx concentration prediction in coal-fired power plant considering system delay
Y Zhai, X Ding, X Jin, L Zhao - Applied Soft Computing, 2020 - Elsevier
Obtaining accurate and real-time value of the pollution concentration is fundamental to
effective and energy-saving operation for pollution controlling in coal-fired power plants …
effective and energy-saving operation for pollution controlling in coal-fired power plants …
Automatic forest fire danger rating calibration: Exploring clustering techniques for regionally customizable fire danger classification
Effective wildfire management begins with fire prevention and the assessment of the local
fire danger. Typical approaches to fire danger classification rely heavily on manual analysis …
fire danger. Typical approaches to fire danger classification rely heavily on manual analysis …
A new TS fuzzy model predictive control for nonlinear processes
In this paper, a novel fuzzy Generalized Predictive Control (GPC) is proposed for discrete-
time nonlinear systems via Takagi-Sugeno system based Kernel Ridge Regression (TS …
time nonlinear systems via Takagi-Sugeno system based Kernel Ridge Regression (TS …
Electrical vehicle modeling: A fuzzy logic model for regenerative braking
This paper presents a fuzzy logic model of regenerative braking (FLmRB) for modeling EVs'
regenerative braking systems (RBSs). The model has the vehicle's acceleration and jerk …
regenerative braking systems (RBSs). The model has the vehicle's acceleration and jerk …
An adaptive ensemble of on-line extreme learning machines with variable forgetting factor for dynamic system prediction
A demand for predictive models for on-line estimation of variables is increasing in industry.
As industrial processes are time-varying, on-line learning algorithms should be adaptive to …
As industrial processes are time-varying, on-line learning algorithms should be adaptive to …
Indirect adaptive fuzzy control for industrial robots: a solution for contact applications
Robots have been increasingly used in uncertain environments where direct contact with the
surrounding environment exists. A design procedure of an adaptive fuzzy control, which can …
surrounding environment exists. A design procedure of an adaptive fuzzy control, which can …
Multi-agent distributed model predictive control with fuzzy negotiation
In this work, a multi-agent distributed model predictive control (DMPC) including fuzzy
negotiation has been developed. A novel fuzzy inference system is introduced as a …
negotiation has been developed. A novel fuzzy inference system is introduced as a …
Monitoring of weld joint penetration during variable polarity plasma arc welding based on the keyhole characteristics and PSO-ANFIS
In this paper, a simple and flexible vision sensor system was developed for acquiring the
keyhole images from the back-side of the work plate. The keyhole variation mechanism …
keyhole images from the back-side of the work plate. The keyhole variation mechanism …