Seven Techniques that you will learn when you enrol forMTech in Hydroinformatics Engineering

Hydro informatics is the study of the application of data science and information technology to the development of water resources. The Master's program is a two-year interdisciplinary degree that accepts applications from Civil, Electrical, Mechanical, and other disciplines. Admission is available via CCMT 2023 and DASA 2023.

After completing the course, you will have learned the following techniques:

Techniques for Multi-Criteria Decision Making such as AHP, ANP, ELECTRE, PROMETHEE, and others.

River Surveyor, Micro ADV, and Multi-Parameter Water Quality Sensor are examples of water-related instruments.

Algorithms Based on Decision Trees

Image Processing and Geographical Information System

Optimization Methods, including Bio-Inspired Optimisation Methods

Polynomial Neural Networks are a type of Artificial Neural Network (ANN).

The Internet of Things (IoT)

and their applications in the development of water resources.

The program also includes a one-year real-world project opportunity.

Seven Most Tenable Application of Artificial Intelligence on Water Resource Management Problems

AI or Artificial Intelligence is a pioneering technique that has enabled the creation of intelligent machines. or smart machines which have the power to self adapt based on the situation presented to them. It requires situations whose response is known and based on this training data set it learns the problems which it has to solve when it is ready. Due to the alarming success with AI in robotics, electronics, etc fields the same technique is now used to solve the problems of water resource management. This ppt shows the seven most notable use of AI in water resources-based problems where satisfactory improvement has encouraged the further application of the technique. View the Presentation Dr.Mrinmoy Majumder, My ResearchGate Id : Mrinmoy_Majumder Home Page: http://www.mrinmoymajumder.com Author of: Lecture Notes on MCDM Indian Link ; Global Link :

Simple tutorial on Weighted Sum and Weighted Product Method

Learn about WSM and WPM methods. Visit this link for WSM and WPM tutorials. @Innovate for Sustainability baipatra.ws Subscribe Me

Introduction to Glowworm Optimization Algorithm

Overview of the Glow Worm Algorithm Explanation of the original Glow Worm Algorithm The Hybrid Glow Worm Algorithm is an important algorithm to study and understand because of its ability to effectively solve complex optimization problems. By combining the strengths of different algorithms, it offers a flexible and adaptable solution approach that can be applied to various domains. Understanding this algorithm can help researchers and practitioners in developing efficient and effective optimization strategies for their specific problem instances. The original Glow Worm Algorithm is a swarm intelligence-based optimization algorithm inspired by the behavior of glow worms in nature. It involves a population of virtual glow worms that interact with each other and their environment to find optimal solutions. The algorithm uses a combination of local and global search strategies, allowing the glow worms to explore and exploit the search space effectively. Additionally, the a...