Exemplary student achievements in academia, research and industry are a testament to the excellence nurtured at the SRM University-AP. Mr Anwar Faizaan Reza, 2nd year B.Tech. student from the Department of Computer Science and Engineering has published his research paper in the prestigious Q1 journal Desalination. His paper titled “Multi-Layer Perceptron (MLP) Models for Water Treatment and Desalination Processes” provides a comprehensive review of Multi-Layer Perceptron (MLP) models as innovative tools in water treatment and desalination processes.
With the growing global water scarcity due to increasing population and urbanisation, the study emphasises the need for advanced technologies to optimise water management. Mr Reza discusses how MLPs, a type of artificial neural network, can effectively handle complex, non-linear data, making them suitable for predicting water quality and treatment efficiency.
The paper compares MLPs with traditional models, highlighting their advantages in adaptability and accuracy. It also addresses the limitations of MLPs, such as their dependence on high-quality training data and susceptibility to overfitting. Additionally, the research identifies existing gaps in the application of MLPs in real-world scenarios and suggests future opportunities for integration with other AI techniques and real-time data analysis.
In his paper, Mr Anwar Reza proposes that MLPs can significantly enhance decision-making in water treatment by providing accurate forecasts and optimizing operational processes. He also discusses the importance of developing user-friendly cost estimation tools for desalination projects and advocates for using MLPs in techno-economic assessments. Overall, the paper underscores the potential of MLPs to revolutionise water treatment and desalination, presenting them as vital components in addressing the challenges posed by water scarcity and quality management.