Sustainability Cases and Studies in Using Operations Research and Management Science Methods /
| Korporacja: | |
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| Kolejni autorzy: | , |
| Streszczenie: | X, 451 p. 1 illus. text |
| Język: | angielski |
| Wydane: |
Cham :
Springer International Publishing : Imprint: Springer,
2023.
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| Wydanie: | 1st ed. 2023. |
| Seria: | International Series in Operations Research & Management Science,
333 |
| Hasła przedmiotowe: | |
| Dostęp online: | https://doi.org/10.1007/978-3-031-16620-4 |
| Format: | Elektroniczne Książka |
Spis treści:
- Sustainability. Cases and Studies in Using Operations Research and Management Science Methods
- What is Sustainability? A Layman Perspective
- Sustainable Supply Chain Management: Definition, Bibliometrics, Applications and Future Directions
- Applications of Machine Learning Algorithms in Data Sciences
- The machine learning model for identifying bogus profiles in social networking sites
- Support Vector Machine and K-fold cross validation to detect false alarms in wind turbines
- A Hybrid Neural Network Model Based on Convolutional Cascade Neural Networks: An Application for Image Inspection in Production
- A multi-objective sustainable traffic signal control for smart cities under uncertainty
- Multi Criteria Decision Making for Sustainable Transport: A Case Study on Traffic Flow Prediction Using Spatial-Temporal Traffic Sequence
- A Robust Prognostic Indicator for Renewable Energy Fuel Cells: A Hybrid Data-Driven Prediction Approach
- An Assessment of Electricity Markets in Turkey: Price Mechanisms, Regulations, and Methods
- The role of DevOps in Sustainable Enterprise Development
- Practices and indicators of waste and resource management in commercial buildings
- A descriptive comprehension study on solar energy, solar products, and solar product marketing in Indian context
- Precision Livestock Farming (PLF) Systems – Improving Sustainability and Efficiency of Animal Production
- Environmental Assessment of Rural Road Construction in India
- Perspectives on the sustainable steel production process: a critical review of the carbon dioxide (CO2) to methane (CH4) conversion process
- Exergy, Anergy and Sustainability
- Simulating complex relationships between pollutants and the environment using regression splines: A case study for landfill leachate.