ALDRIDGE, Susan and Vojtěch STEHEL. Intelligent vehicular networks, deep learning-based sensing technologies, and big data-driven algorithmic decision-making in smart transportation systems. Contemporary Readings in Law and Social Justice. New York, USA: Addleton Academic Publishers, 2021, vol. 13, No 2, p. 107-120. ISSN 1948-9137. |
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@article{61621, author = {Aldridge, Susan and Stehel, Vojtěch}, article_location = {New York, USA}, article_number = {2}, keywords = {algorithmic decision-making; smart transportation; deep learning; intelligent vehicular network; big data; sensing technologies}, language = {eng}, issn = {1948-9137}, journal = {Contemporary Readings in Law and Social Justice}, title = {Intelligent vehicular networks, deep learning-based sensing technologies, and big data-driven algorithmic decision-making in smart transportation systems}, url = {https://www.ceeol.com/search/journal-detail?id=642}, volume = {13}, year = {2021} }
TY - JOUR ID - 61621 AU - Aldridge, Susan - Stehel, Vojtěch PY - 2021 TI - Intelligent vehicular networks, deep learning-based sensing technologies, and big data-driven algorithmic decision-making in smart transportation systems JF - Contemporary Readings in Law and Social Justice VL - 13 IS - 2 SP - 107-120 EP - 107-120 PB - Addleton Academic Publishers SN - 19489137 KW - algorithmic decision-making KW - smart transportation KW - deep learning KW - intelligent vehicular network KW - big data KW - sensing technologies UR - https://www.ceeol.com/search/journal-detail?id=642 N2 - The authors analyze the outcomes of an exploratory review of the current research on intelligent vehicular networks, deep learning-based sensing technologies, and big data-driven algorithmic decision-making in smart transportation systems. ER -
ALDRIDGE, Susan and Vojtěch STEHEL. Intelligent vehicular networks, deep learning-based sensing technologies, and big data-driven algorithmic decision-making in smart transportation systems. \textit{Contemporary Readings in Law and Social Justice}. New York, USA: Addleton Academic Publishers, 2021, vol.~13, No~2, p.~107-120. ISSN~1948-9137.
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