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Link to original content: https://dblp.org/rec/conf/iccspa/ElGhanamHO22.bib
@inproceedings{DBLP:conf/iccspa/ElGhanamHO22, author = {Eiman ElGhanam and Mohamed S. Hassan and Ahmed H. Osman}, title = {Machine Learning-Based Electric Vehicle Charging Demand Prediction Using Origin-Destination Data: {A} {UAE} Case Study}, booktitle = {5th International Conference on Communications, Signal Processing, and their Applications, {ICCSPA} 2022, Cairo, Egypt, December 27-29, 2022}, pages = {1--6}, publisher = {{IEEE}}, year = {2022}, url = {https://doi.org/10.1109/ICCSPA55860.2022.10019107}, doi = {10.1109/ICCSPA55860.2022.10019107}, timestamp = {Fri, 02 Aug 2024 08:05:14 +0200}, biburl = {https://dblp.org/rec/conf/iccspa/ElGhanamHO22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }