Review of Energy-Related Machine Learning Applications in Drying Processes
D Đaković, M Kljajić, N Milivojević, Đ Doder… - Energies, 2023 - mdpi.com
Drying processes are among the most energy-intensive industrial processes. There is a
need for development of the efficient methods needed for estimating, measuring, and …
need for development of the efficient methods needed for estimating, measuring, and …
Multilevel nonlinear mixed-effects model and machine learning for predicting the volume of Eucalyptus spp. trees
Volumetric equations is one of the main tools for quantifying forest stand production, and is
the basis for sustainable management of forest plantations. This study aimed to assess the …
the basis for sustainable management of forest plantations. This study aimed to assess the …
Computer-aided controller design for a nonlinear process using a Lagrangian-based state transition algorithm
R Murugesan, J Solaimalai, K Chandran - Circuits, Systems, and Signal …, 2020 - Springer
Abstract Model parameter estimation and controller tuning of the nonlinear clarification
process are primary issues in the sugar industry. This paper proposes a Lagrangian-based …
process are primary issues in the sugar industry. This paper proposes a Lagrangian-based …
Nonlinear system parameter estimation of drying process using modified state transition algorithm in cloud environment
K Chandran, M Ramasamy… - International …, 2020 - inderscienceonline.com
The parameter estimation optimisation with constraints for the nonlinear complex system
requires a serious of computation. This paper introduced a novel constrained optimisation …
requires a serious of computation. This paper introduced a novel constrained optimisation …