Cite Article
Cite Article
MLA
Scherrer, Romane, et al. "Boat Detection in Marina Using Time-Delay Analysis and Deep Learning." IJDWM vol.18, no.2 2022: pp.1-16. http://doi.org/10.4018/IJDWM.298006
APA
Scherrer, R., Aulnette, E., Quiniou, T., Kasarherou, J., Kolb, P., & Selmaoui-Folcher, N. (2022). Boat Detection in Marina Using Time-Delay Analysis and Deep Learning. International Journal of Data Warehousing and Mining (IJDWM), 18 (2), 1-16. http://doi.org/10.4018/IJDWM.298006
Chicago
Scherrer, Romane, et al. "Boat Detection in Marina Using Time-Delay Analysis and Deep Learning," International Journal of Data Warehousing and Mining (IJDWM) 18, no.2: 1-16. http://doi.org/10.4018/IJDWM.298006
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International Journal of Data Warehousing and Mining (IJDWM) The International Journal of Data Warehousing and Mining (IJDWM) a featured IGI Global Core Journal Title, disseminates the latest international research findings in the areas of data management and analyzation. This journal is a forum for state-of-the-art developments, research, and current innovative activities focusing on the integration between the fields of data warehousing and data mining. Featured in prestigious indices including Web of Science® Citation Index Expanded®, Scopus®, Compendex®, INSPEC®, and more, this scholarly journal is led by a leading IGI Global editor and contains research from a growing list of more than 1,500+ industry-leading contributors. This journal is an ideal resource for academic researchers and practicing IT professionals looking for double-blind peer-reviewed articles that provide solutions to ongoing challenges, and new developments within this field.
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