Intelligent decision support systems for sustainable computing : paradigms and applications
This unique book dicusses the latest research, innovative ideas, challenges and computational intelligence (CI) solutions in sustainable computing. It presents novel, in-depth fundamental research on achieving a sustainable lifestyle for society, either from a methodological or from an application p...
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| Other Authors | , , , |
|---|---|
| Format | Electronic eBook |
| Language | English |
| Published |
Cham, Switzerland :
Springer,
2017.
|
| Series | Studies in computational intelligence ;
v. 705. |
| Subjects | |
| Online Access | Full text |
| ISBN | 9783319531533 9783319531526 |
| ISSN | 1860-949X ; |
| Physical Description | 1 online resource (xvi, 289 pages) : illustrations (some color) |
Cover
Table of Contents:
- Intelligent Decision Support Systems for Sustainable Computing
- A Genetic Algorithm based Efficient Load Distribution Strategy for Handling Large Scale Workloads on Sustainable Computing Systems
- Efficiency in Energy Decision Support Systems using Soft Computing Techniques
- Computational Intelligence Based Heuristic Approach for Maximizing Energy Efficiency in Internet of Things
- Distributed Algorithm with Inherent Intelligence for Multi-Cloud Resource Provisioning
- Parameter Optimization methods based on Computational Intelligence Techniques in Context of Sustainable Computing
- The Maximum Power Point tracking using Fuzzy Logic Algorithm for DC Motor based Conveyor System
- Differential Evolution Based Significant Data Region Identification on Large Storage Drives
- A Fuzzy Based Power Switching Selection for Residential Application to beat Peak Time Power Demand
- Energy Saving Using Memorization: A Novel Energy-Efficient and Fault Tolerant Algorithm
- Analyzing Slavic Textual Sentiment using Deep Convolutional Neural Networks
- Intelligent Decision Support System for an Integrated Pest Management in Apple Orchard
- Analysis of Error Propagation in Safety Critical Software Systems: An Approach based on UGF
- A Framework for Analyzing Uncertainty in Data using Computational Intelligence Techniques.