Sponsored By IEEE Madras Section
2019 IEEE 9th International Advance Computing Conference
| TIME | ID | TITLE | AUTHORS |
|---|---|---|---|
| 2.50 | 15 | A Robust Model for Churn Prediction using Supervised Machine Learning | Anurag Bhatnagar and Dr Sumit Srivastava |
| 3.02 | 45 | A Novel User Clustering Based Beamspace MIMO-NOMA | Varsha Kamble, Sujata Kadam and Somdotta Choudhury |
| 3.14 | 50 | Development Environment for Hybrid Applications on Heterogeneous Clusters | Deepika H V and Mangala N |
| 3.26 | 27 | Semi-automated detection of airbases in Google Earth images using YOLO v3 deep CNN | Prateek Jain, Shashikant Ghangare, Dr. Jv Satyanarayana and G Venkat Reddy |
| 3.38 | 95 | Email Spam Detection : An Empirical Comparative Study of Different ML and Ensemble Classifiers | Shubhangi Suryawanshi, Anurag Goswami and Pramod Patil |
| 3.50 | 99 | Predictive Risk Analysis for Liver Transplant Patients - eHealth Model under the National Liver Transplant Program, Uruguay | Parag Chatterjee, Ofelia Noceti, Josemaria Menendez, Solange Gerona, Natalia Harguindeguy, Melina Noelia Toribio Conde, Leandro J. Cymberknop and Ricardo Armentano |
| 4.02 | 97 | Predicting Damage to Buildings Caused by Earthquakes Using Machine Learning Techniques | Kuldeep Chaurasia, Samiksha Kanse, Aishwarya Yewale, Vivek Singh, Bhavnish Sharma and B R Dattu |
| 4.14 | 105 | Blockchain-based Remote Patient Monitoring in Healthcare 4.0 | Rajesh Gupta, Jigna Hathaliya, Priyanka Sharma and Sudeep Tanwar |