Pinned Repositories
Concastle-IIT-Indore
In this short project, compressive strength is predicted for any given mix design. It will help to obtain a safe design mix that minimizes cost while meeting specific requirements.
Crack-Detection-App
This app aims to detect cracks in the wall, with the help of Deep learning framework
ECG-SHAP
Fault-Detection-and-Diagnosis-with-XAI
This python script developed approach which uses various Explainable AI techniques to interpret the results given by fault detection and diagnosis model for Air Handling Units.
FDD-Scheme-for-AHUs-considering-undefined-faults
FDD Scheme is developed with Deep neural network, undefined faults are identified with Supervised Auto-encoders.
FDD-with-Decision-Tree
In this project, fault detection and diagnosis model with decision tree is developed based on ASHRAE RP 1312 data. Rules generated by decision tree can be verified with domain expertise.
L_T_EduTech_Hackathon_at_SHAASTRA_IITM
Cracks in bridges is major concern. This project uses deep learning framework with transfer learning to develop crack detection model.
XAI-Based-ECG-Diagnostics
In this project, deep learning model for ECG signal classification is developed. Using SHAP, outputs given by model are explained.
Prasad179's Repositories
Prasad179/Fault-Detection-and-Diagnosis-with-XAI
This python script developed approach which uses various Explainable AI techniques to interpret the results given by fault detection and diagnosis model for Air Handling Units.
Prasad179/ECG-SHAP
Prasad179/L_T_EduTech_Hackathon_at_SHAASTRA_IITM
Cracks in bridges is major concern. This project uses deep learning framework with transfer learning to develop crack detection model.
Prasad179/XAI-Based-ECG-Diagnostics
In this project, deep learning model for ECG signal classification is developed. Using SHAP, outputs given by model are explained.
Prasad179/Concastle-IIT-Indore
In this short project, compressive strength is predicted for any given mix design. It will help to obtain a safe design mix that minimizes cost while meeting specific requirements.
Prasad179/Crack-Detection-App
This app aims to detect cracks in the wall, with the help of Deep learning framework
Prasad179/FDD-Scheme-for-AHUs-considering-undefined-faults
FDD Scheme is developed with Deep neural network, undefined faults are identified with Supervised Auto-encoders.
Prasad179/FDD-with-Decision-Tree
In this project, fault detection and diagnosis model with decision tree is developed based on ASHRAE RP 1312 data. Rules generated by decision tree can be verified with domain expertise.