Hybrid modeling techniques for predicting chemical oxygen demand in wastewater treatment: a stacking ensemble learning approach with neural networks DOI

S Ramya,

S Srinath,

Pushpa Tuppad

et al.

Environmental Monitoring and Assessment, Journal Year: 2024, Volume and Issue: 196(12)

Published: Nov. 27, 2024

Language: Английский

Enhancing e-waste management: a novel light gradient AdaBoost support vector classification approach DOI
G. Annapoorani,

K. Uma Maheswari,

R. Kavitha

et al.

Environmental Monitoring and Assessment, Journal Year: 2025, Volume and Issue: 197(3)

Published: Feb. 27, 2025

Language: Английский

Citations

0
A systematic parametrization procedure for PID controller applied on quarter suspension system using the giant armadillo optimization algorithm DOI Creative Commons
Felipe Rebelo Lopes, Caio Santos, Paulo Jefferson Dias de Oliveira Evald

et al.

Transactions of the Institute of Measurement and Control, Journal Year: 2025, Volume and Issue: unknown

Published: March 11, 2025

Active suspension is an automotive technology that controls the vertical movements of car wheels through electronically controlled force actuation system. This kind system deals with security and comfort driver passengers simultaneously. Therefore, a digital controller required to regulate dynamics properly. In literature, proportional–integral controllers are often used or combined other techniques stabilize car. However, obtaining optimal gains from this highly dependent on designer’s experience. addition, there some methods for determining gains. these do not ensure Taking into consideration, work presents systematic procedure parametrization active using meta-heuristic optimization algorithm. The optimizer giant armadillo algorithm, which bioinspired in hunting behavior armadillos move towards prey positions digging termite mounds. Numerical simulations indicate feasibility proposed its superiority relation Ziegler & Nichols method, providing reduction 36.36% 39.34% mean absolute error root squared error, respectively.

Language: Английский

Citations

0
Letter: Why consider quantum instead classical pattern recognition techniques? DOI
Artur Gomes Barreto, F. F. Fanchini, João Paulo Papa

et al.

Applied Soft Computing, Journal Year: 2024, Volume and Issue: 165, P. 112096 - 112096

Published: Aug. 12, 2024

Language: Английский

Citations

2
Hybrid modeling techniques for predicting chemical oxygen demand in wastewater treatment: a stacking ensemble learning approach with neural networks DOI

S Ramya,

S Srinath,

Pushpa Tuppad

et al.

Environmental Monitoring and Assessment, Journal Year: 2024, Volume and Issue: 196(12)

Published: Nov. 27, 2024

Language: Английский

Citations

0