Five Most Used Machine Learning Techniques in Hydroinformatics
Hydroinformatics is the engineering of how AI,ML and data science can be utilized in water resources.
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1) ELECTRE : ELIMINATION AND CHOICE TRANSLATING REALITY 2)FMAE : FAILURE MODE EFFECTS ANALYSIS 3)MAUT : MULTI ATTRIBUTE UTILITY THEORY 4&5)PROMETHEE : PREFERENCE RANKING ORGANIZATION METHOD FOR ENRICHMENT EVALUATION (One and Two) 6)RA : RELIABILITY ANALYSIS 7)WSM : WEIGHTED SUM METHOD 8)WPM : WEIGHTED PRODUCT METHOD 9)DELPHI Method All these are free video tutorials. For case studies and project ideas please upgrade to Paid Member. Click here to procure in INR: Other than INR : Click here You may also like : HydroGeek: The newsletter for researchers of water resources https://hydrogeek.substack.com/ Baipatra VSC: Enroll for online courses for Free http://baipatra.ws Energy in Style: Participate in Online Internships for Free http://energyinstyle.website Innovate S: Online Shop for Water Researchers https://baipatra.stores.instamojo.com/ Call for Paper: International Journal of HydroClimatic Engineering http://energyinstyle.website/journals/ Hydro Geek Newsletter Edition...
Click here to download Dr. Mrinmoy Majumder’s Hydrology for Beginners: A Video Book is an ambitious attempt to make introductory hydrology more accessible through a combination of concise reading materials and video-based instruction. Instead of presenting hydrology solely through equations and descriptive text, the book adopts a multimedia format intended to help learners observe calculations, diagrams and problem-solving procedures in a guided manner. This makes the work particularly relevant to undergraduate students, early-stage researchers and practising engineers who need a structured introduction or rapid refresher. Content and organisation The book addresses several foundational areas of engineering hydrology. The associated learning series includes methods for estimating mean precipitation, testing rainfall-data consistency, correcting and estimating missing rainfall records, analysing hydrological risk, understanding floods, interpreting hydrographs and performing reservoir ...
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