Comprehensive review on machine learning methodologies for modeling dye removal processes in wastewater
A wide range of dyes are being disposed in water bodies from several industrial runoff and
the quantity is rapidly increasing over the years. From an environmental safety point of view …
the quantity is rapidly increasing over the years. From an environmental safety point of view …
Advances in soft sensors for wastewater treatment plants: A systematic review
The on-line monitoring of wastewater treatment plant (WWTP) operations is a challenge due
to interference and breakdown from the harsh conditions endured by sensors in wastewater …
to interference and breakdown from the harsh conditions endured by sensors in wastewater …
Hybrid approach based on response surface methodology and artificial neural networks coupled with genetic algorithm (RSM-GA-ANN) for the Prediction and …
R Pravina, H Uthayakumar, A Sivasamy - Journal of the Taiwan Institute of …, 2023 - Elsevier
Background Semiconductor solar photocatalysis is an AOP methodology used for
mineralizing chromatophores in waste effluent which is cost effective and sustainable …
mineralizing chromatophores in waste effluent which is cost effective and sustainable …
Evolution of neural network to deep learning in prediction of air, water pollution and its Indian context
The scenario of developed and developing countries nowadays is disturbed due to modern
living style which affects environment, wildlife and natural habitat. Environmental quality has …
living style which affects environment, wildlife and natural habitat. Environmental quality has …
Artificial neural network modeling of photocatalytic degradation of pollutants: a review of photocatalyst, optimum parameters and model topology
In the modern world, wastewater treatment is a critical responsibility for both residential and
commercial processes. This article compiled and discussed the photocatalytic degradation …
commercial processes. This article compiled and discussed the photocatalytic degradation …
[图书][B] Modeling and control of uncertain nonlinear systems with fuzzy equations and Z-number
An original, systematic-solution approach to uncertain nonlinear systems control and
modeling using fuzzy equations and fuzzy differential equations There are various numerical …
modeling using fuzzy equations and fuzzy differential equations There are various numerical …
Applications of fuzzy logic, artificial neural network and neuro-fuzzy in industrial engineering
Artificial intelligence methods namely artificial neural network, fuzzy logic, and neuro-fuzzy
have been effectively utilized in different applications like business, marketing, control …
have been effectively utilized in different applications like business, marketing, control …
Leakage detection in pipeline based on second order extended Kalman filter observer
In this chapter, a new technique is proposed in order to detect, locate, as well as
approximate the fluid leaks in a straight pipeline (without branching) by taking into …
approximate the fluid leaks in a straight pipeline (without branching) by taking into …
Electrochemical deposition of copper using a modified electrode with polyaniline film: experimental analysis and ANN-based prediction
DE Millán-Ocampo, J Porcayo-Calderón… - Journal of the Taiwan …, 2021 - Elsevier
Wastewater from the electronics manufacturing industry contains relatively large amounts of
dissolved copper in low concentrations (≤ 1000 mg L− 1). Its discharge to the environment …
dissolved copper in low concentrations (≤ 1000 mg L− 1). Its discharge to the environment …
Deep Learning for Pipeline Damage Detection: an Overview of the Concepts and a Survey of the State-of-the-Art
Pipelines have been extensively implemented to transfer oil as well as gas products at wide
distances as they are safe, and suitable. However, numerous sorts of damages may happen …
distances as they are safe, and suitable. However, numerous sorts of damages may happen …