Proceedings of International Conference on Data Science and Applications

Chapter 1. A Deep Learning-based Approach with Image-driven Active Contour Loss for Medical Image Segmentation.- Chapter 2. QoS Parameter Analysis of TCP and UDP Traffic over Open flow Enabled Software Defined Network.- Chapter 3. The Challenges of Data Analytics Implementations: A Preliminary Literature Review.- Chapter 4. In depth opinion mining and sentiment analysis of Twitter data.- Chapter 5. An Extensive Review on: Low Noise Amplifier for Millimeter and Radio Frequency Waves.- Chapter 6. UWB applications and bird eye view on high frequency LNA applications.- Chapter 7. Ocean Wave Modeling from Satellite images using Data Assimilation.- Chapter 8. Design of a Laser Projection System for Intelligent Learning Environments.- Chapter 9. Medical Image Enhancement: A Review.- Chapter 10. A Computer Vision Approach Towards Maturity Stage Classification of Tomatoes Using Second Order Wavelet Features.- Chapter 11. Vigorous deep learning models for identifying tomato leaf diseases.- Chapter 12. Automatic distres analysis using Text Mining.- Chapter 13. Prediction of student's performance in an academic using data science and machine learning.- Chapter 14. Performance Enhancement by Tuning Hyperparameters of Random Forest Classifier for Hardware Trojan Detection.- Chapter 15. Low Complexity Hybrid Beamforming Technique for Massive MIMO System.

Dr. Mukesh Saraswat is Associate Professor at Jaypee Institute of Information Technology, Noida, India. Dr. Saraswat has obtained his Ph.D. in Computer Science and Engineering from ABV-IIITM Gwalior, India. He has more than 18 years of teaching and research experience. He has guided 02 Ph.D. students and more than 50 M.Tech. and B.Tech. dissertations and is presently guiding 05 Ph.D. students. He has published more than 40 journal and conference papers in the area of image processing, pattern recognition, data mining, and soft computing. He was the part of successfully completed DRDE-funded project on image analysis and is currently running two projects funded by SERB-DST (New Delhi) on Histopathological Image Analysis and Collaborative Research Scheme (CRS), under TEQIP III (RTU-ATU) on Smile. He has been an active member of many organizing committees of various conferences and workshops. He was also Guest Editor of the journal of Swarm Intelligence. He is Active Member of IEEE, ACM, CSI Professional Bodies. His research areas include image processing, pattern recognition, mining, and soft computing.