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XAI4Wind
Supplementary data for utilising knowledge graph databases towards explainable decision support in wind turbines.WindTurbine-QAKG
Automated Question-Answering Over Knowledge Graphs in O&M of Wind TurbinesDeepLearning-Tensorflow-Basics
This repository contains basic Python code for learning to use Tensorflow, along with its basic syntactic and operational intricacies, as a solid foundation for other complex Deep Learning projects.Vedic-Binary-Multiplier
The project involved design of a Binary Multiplier which is highly efficient in terms of computation time and used the centuries old Urdhava-Tiryakbham algorithm. Structural Coding was used to first design a 2 bit Vedic Binary Multiplier in VHDL using Half Adders. Then, generic adders along with the 2 bit multiplier blocks designed initially was used to simulate a 4 bit Vedic Binary Multiplier.TurbineSCADACausality
Supplementary material for our TORQUE 2020 Submission "Temporal Causal Inference in Wind Turbine SCADA Data Using Deep Learning for Explainable AI"ScientometricReview-AI
Data for our paper "Scientometric Review of Artificial Intelligence for Operations & Maintenance of Wind Turbines: The Past, Present and Future".Love Open Source and this site? Check out how you can help us