Hydrology Newsletter

Engineering Optimization focuses on developing algorithms and techniques to find the best possible solution for complex engineering problems, such as optimizing the design of structures or processes. On the other hand, Polynomial Neural Networks explore the use of polynomial activation functions in neural networks, which can enhance their learning capabilities and improve their performance in certain tasks. Both areas contribute to advancing the capabilities of artificial intelligence and have significant applications in various industries.  The above video walkthrough tries to demonstrate how to use the advancement of polynomial neural networks in engineering optimization.  For example, in the field of civil engineering, optimization techniques can be applied to design more efficient and cost-effective buildings or bridges. By using algorithms and mathematical models, engineers can analyze different design variables such as material selection, structural configurations, and constructi

Hydroinformatics is a relatively new concept, but it essentially involves the application of data science techniques to water-related problems. Along with data science techniques, it entails the implementation of data extraction and mining, which may aid in the identification of fundamental problems in hydrology, hydraulics, hydropower, and other water resource development and management topics. Although the concept, like data science courses, is new, the popularity of the application area is growing. For example, only ten to fifteen years ago, we had no idea what informatics was, but it is now one of the most popular topics for the year 2022 with respect to people looking for an international degree. Its popularity has grown in the last five years. However, there is a scarcity of courses on informatics-related topics. That is why we must rely on books on the subject. The problem is that no single book will teach you everything you need to know about informatics. You must consult sever