ICT Analysis and Applications Proceedings of ICT4SD 2019, Volume 2 / [electronic resource] :
edited by Simon Fong, Nilanjan Dey, Amit Joshi.
- 1st ed. 2020.
- XVIII, 584 p. 278 illus., 192 illus. in color. online resource.
- Lecture Notes in Networks and Systems, 93 2367-3389 ; .
- Lecture Notes in Networks and Systems, 93 .
The Analytical CRM OLAP Analysis Tools and Data Mining -- An Ensemble Framework for Flow based Application lay-er DDoS Attack Detection using Data Mining Techniques -- EM Design of Low RCS Proximity Coupled Patch Array -- A Double-Weighted Parametric Model for Academic Software Project Effort Estimation -- Learner Performance and Preference Meter for Better Career Guidance and Holistic Growth -- Grading of Tuberculosis Bacilli Using Computer Vision Assisted Detection Method for ZN Stained Images of Bright Field Microscopy -- Modeling the Dynamics of Carbon Dioxide over an Educational Institute -- Orthogonalizing Weights in Capsule Network Architecture -- Smart Billing using Content-based Recommender Systems Based on Fingerprint -- Identifying Classification Technique for Medical Diagnosis -- Character Recognition of MODI Script using Distance Classi er Algorithms -- Societal Transformations Through ICT as a Shared Public Infrastructure.
This book proposes new technologies and discusses future solutions for ICT design infrastructures, as reflected in high-quality papers presented at the 4th International Conference on ICT for Sustainable Development (ICT4SD 2019), held in Goa, India, on 5–6 July 2019. The conference provided a valuable forum for cutting-edge research discussions among pioneering researchers, scientists, industrial engineers, and students from all around the world. Bringing together experts from different countries, the book explores a range of central issues from an international perspective.
9789811506307
10.1007/978-981-15-0630-7 doi
Telecommunication. Computational intelligence. Application software. Big data. Communications Engineering, Networks. Computational Intelligence. Computer and Information Systems Applications. Big Data.