Title Statements
- Full title :Intelligence enabled research : DoSIER 2020 / Siddhartha Bhattacharyya, Paramartha Dutta, Kakali Datta, editors.
Summary
This book gathers extended versions of papers presented at DoSIER 2020 (the Second Doctoral Symposium on Intelligence Enabled Research, held at Visva-Bharati University, Santiniketan, West Bengal, India, during 1213 August 2020). The papers address the rapidly expanding research area of computational intelligence, which, no longer limited to specific computational fields, has since made inroads in signal processing, smart manufacturing, predictive control, robot navigation, smart cities, and sensor design, to name but a few. Presenting chapters written by experts active in these areas, the book offers a valuable reference guide for researchers and industrial practitioners alike and inspires future studies.
Read More ↓Edition Statements
- Publication Date:2021
Publication Statements
- Publisher(s):Springer
- Place of Publication:Singapore
- Language:eng
- Publication Date:2021
Notes
International conference proceedings.
Conference held online due to the COVID-19 pandemic.
The Physical Object
- Description:1 online resource (134 pages).
Edition Identifiers
- ISBN:9789811592904, 981159290X
- DOI:10.1007/978-981-15-9290-4
- oclc:on1311350633
- LC Classification:Q342
- Dewey Decimal:006.3
Table of Contents
Intro -- Preface -- DoSEIR 2020 Committees -- Contents -- Editors and Contributors -- DEBM: Differential Evolution-Based Block Matching Algorithm -- 1 Introduction -- 2 Related Works -- 2.1 Block Matching Algorithm -- 2.2 Differential Evolution Algorithm (DE) -- 3 Proposed Algorithm -- 3.1 BM Based on DE -- 4 Experimental Results -- 4.1 Experimental Settings -- 5 Conclusion -- References -- Multi-modality of Occupants' Actions for Multi-Objective Building Energy Management -- 1 Introduction -- 2 Building Energy Management Framework and Its Optimization Problem
3 Performance on Real-World Data -- 4 Conclusion -- References -- A Novel Self-adaptive Salp Swarm Algorithm for Dynamic Optimization Problems -- 1 Introduction -- 2 Self-adaptive SSA Algorithm -- 2.1 Mathematical Model -- 2.2 Self-adaptive Techniques in SSA -- 3 Experiments and Computational Analysis -- 3.1 Setup of the Experimental Environment -- 3.2 Benchmark Problems on Real Space -- 3.3 Parameter Settings and Testing Procedures -- 4 Results and Discussion -- 5 Conclusion -- References -- Digital ID Generation and Management Framework Using Blockchain -- 1 Introduction -- 2 Related Work
3 System Overview -- 3.1 Partici…
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