SOFTWARE DEFECT PREDICTION USING FULLY HOMOMORPHIC ENCRYPTION WITH RANDOM FOREST CLASSIFIER
PANDEY, AYUSHMAAN
SOFTWARE DEFECT PREDICTION USING FULLY HOMOMORPHIC ENCRYPTION WITH RANDOM FOREST CLASSIFIER - 2023 - 68p
THIS THESIS BELONGS TO DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING
005
SOFTWARE DEFECT PREDICTION USING FULLY HOMOMORPHIC ENCRYPTION WITH RANDOM FOREST CLASSIFIER - 2023 - 68p
THIS THESIS BELONGS TO DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING
005