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Performance Analysis of Energy-Efficient Path Planning for Sustainable Transportation
1. Introduction The transport sector is a significant contributor to global energy consumption and greenhouse gas emissions. As urban populations continue to grow, the need for sustainable and efficient transportation solutions becomes increasingly critical. In this context, energy-efficient vehicle path planning for sustainable transportation emerges as a promising approach for reducing reliance on fossil fuels and promoting the adoption of electric vehicles.
Assessment of the real‐time pattern recognition capability of machine learning algorithms
REFERENCES 1, , , , , , , , , , , , , , , , , , , , , and . Tensorflow: A system for large-scale machine learning. 2016. 2, , , and . A framework for clustering evolving data streams. 2003. 3, , and . A survey of distance/similarity measures for categorical data. 2014. 4, Introduction to machine learning, MIT Press, Cambridge, 2020. 5, , and , Online learning of complex prediction problems using simultaneous projections, J. Mach. Learn. Res. 9 (2008), 1399–1435.
How to motivate employees towards organizational energy conservation: Insights based on employees perceptions and an IoT-enabled gamified IS intervention - PubMed
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