Skip to main content

An App to promote your new data science technology for achieving SDG


As researchers, we often develop new techniques or discover interesting methods while reviewing the literature in our field that we would like to share with our peers to enhance its reach. However, in the current situation, platforms where both the sharer and the members are from similar fields of research are quite rare. Besides ResearchGate, Academia.edu, and a few others, as researchers in sustainable engineering or science, we lack a specific platform to share our research output, especially when we innovate or invent a new technique or recommend a method that could be useful for our peers, students, and scholars.

A dedicated platform for sharing new techniques in data science and informatics that are suitable for applications in research related to sustainable engineering or science is not only rare but urgently needed.

By new techniques in data science and informatics, I refer to methods that include subjects such as Multi-Criteria Decision Making Methods (MCDM), Artificial Neural Network Algorithms (ANN), Nature-Inspired Optimization Techniques (NIOT), Image Processing and Classification Techniques (IP), and the Internet of Things (IoT).

These techniques are applied to solve the problems of various Engineering and Scientific research. But we want to concentrate on those techniques which are applied to solve the problems of Sustainable Engineering, Design and Science. For example, if you have applied or developed a new MCDM technique to select the best mitigation practice for the upgradation of the condition of watersheds then that technique can be shared by the platform.

A digital platform for sharing data science and informatics techniques to solve sustainability problems is crucial for accelerating innovation, fostering collaboration, and ensuring the efficient use of resources, ultimately leading to more impactful and sustainable solutions.


Click here to learn more



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 2023.1 https://notionpress.com/read/hydro-geek-newsletter-edition-2023-1 Introduction to Model Development for Prediction, Simulation, and Optimization. https://imojo.in/1DJDUzm

Popular posts from this blog

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 :

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...