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Lieferstatus:	i.d.R. innert 7-14 Tagen versandfertig
Veröffentlichung:	Januar 2023
Genre:	Naturwissensch., Medizin, Technik
ISBN:	9783031166198
EAN-Code:	9783031166198
Verlag:	Springer
Einband:	Gebunden
Sprache:	English
Dimensionen:	H 241 mm / B 160 mm / D 31 mm
Gewicht:	857 gr
Seiten:	464
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

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.