Issues
| S.No | Title of The Paper | Page No | Download |
|---|---|---|---|
| 1 | A NOVEL MACHINE LEARNING APPROACH FOR ANDROID MALWARE DETECTION BASED ON THE CO-EXISTENCE OF FEATURES Author(s): R. BHAVANI SANKAR, PALLAPU YESURAJU DOI : https://ijpast.in/.2024.v14.i02.pp01-16 |
1-16 |  |
| 2 | An Ensemble Learning Based Intrusion Detection Model for Industrial IoT Security Author(s): R. BHAVANI SANKAR, DOGUPARTHI. RAMYA SRI DOI : https://ijpast.in/.2024.v14.i02.pp01-14 |
1-14 | |
| 3 | Autonomous landing scene recognition based on transfer learning for drones Author(s): R.BHAVANI SANKAR, LACHI.KRISHNA GANESH DOI : https://ijpast.in/.2024.v14.i02.pp01-13 |
1-13 | |
| 4 | CA-YOLO: Model Optimization for Remote Sensing Image Object Detection Author(s): R. BHAVANI SANKAR, VADALASETTY VENKATA SAI KRISHNA DOI : https://ijpast.in/.2024.v14.i02.pp01-14 |
1-14 | |
| 5 | DETECTION OF TOMATO LEAF DISEASES FOR AGRO-BASED INDUSTRIES USING NOVEL PCA DEEPNET Author(s): NAKKALA MOUNIKA, PITTU BHUVANESHWARA REDDY DOI : https://ijpast.in/.2024.v14.i02.pp01-19 |
1-19 | |
| 6 | Effective Feature Engineering Technique for Heart Disease Prediction with Machine Learning Author(s): K. RAMESH BABU, NARAHARI ANITHA DOI : https://ijpast.in/.2024.v14.i02.pp01-15 |
1-15 | |
| 7 | FRAUD DETECTION IN BANKING DATA BY MACHINE LEARNING TECHNIQUES Author(s): N.MOULALI, VADLAMUDI VENKATA MOUNIKA DOI : https://ijpast.in/.2024.v14.i02.pp01-13 |
1-13 | |
| 8 | Multi-Class Retinal Diseases Detection Using Deep CNN with Minimal Memory Consumption Author(s): P. SIVA PRASAD, VALLAMSETTY KRISHNA TEJA DOI : https://ijpast.in/.2024.v14.i02.pp01-15 |
1-15 | |
| 9 | NIGHT TIME PEDESTRIAN DETECTION BASED ON A FUSION OF VISUAL INFORMATION AND MILLIMETER-WAVE RADAR Author(s): SK. JILANI, PRUDHIVI SIVA VAMSI DOI : https://ijpast.in/.2024.v14.i02.pp01-15 |
1-15 | |
| 10 | SOLAR CELL SURFACE DEFECT DETECTION BASED ON IMPROVED YOLO V5 Author(s): G. SRUJAN KUMAR, PULUGU VENKATESH REDDY DOI : https://ijpast.in/.2024.v14.i02.pp01-14 |
1-14 | |
| 11 | Time Series Forecasting and Modeling of Food Demand Supply Chain Based on Regressors Analysis Author(s): NAKKALA MOUNIKA, KOKKILIGADDA NAVEEN DOI : https://ijpast.in/.2024.v14.i02.pp01-14 |
1-14 | |