Proceedings of International Conference on Data Science and Applications : ICDSA 2021, Volume 1 (Lecture Notes in Networks and Systems)

Saraswat, Mukesh (EDT)/ Roy, Sarbani (EDT)/ Chowdhury, Chandreyee (EDT)

Springer Verlag, Singapore（2021/11発売）

• 製本 Paperback:紙装版/ペーパーバック版／ページ数 859 p.
• 言語 ENG
• 商品コード 9789811651199
• DDC分類 006.3

Full Description

This book gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2021), organized by Soft Computing Research Society (SCRS) and Jadavpur University, Kolkata, India, from April 10 to 11, 2021. It covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, and creative computing.

Contents

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.