Deep learning based vessel arrivals monitoring via autoregressive statistical control charts

IF 2.4 Q3 TRANSPORTATION WMU Journal of Maritime Affairs Pub Date : 2024-07-01 DOI:10.1007/s13437-024-00342-9
Sara El Mekkaoui, Ghait Boukachab, L. Benabbou, A. Berrado
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通过自回归统计控制图进行基于深度学习的船舶到港监测
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来源期刊
CiteScore
4.90
自引率
4.50%
发文量
34
期刊介绍: WMU Journal of Maritime Affairs Aims and Scope The WMU Journal of Maritime Affairs (JOMA) is an internationally peer-reviewed journal that covers such subject areas as maritime safety, maritime energy, maritime administration, management and operations, and marine environment protection and gives special attention to human factors, impacts of technology, and policy-making in this context. JOMA is for academics, researchers and professionals in the maritime industry. It aims at serving the international maritime community by presenting current thinking and evidence-based arguments on those subjects of topical interest, reporting on relevant research findings and addressing inter-relationships among those subjects in a multi-disciplinary manner to improve the efficacy of maritime transport.  The Journal accepts articles and book reviews for publication. Articles should be conceptually reasoned and/or empirically data-driven. Articles reviewing relevant literature in a systematic manner are also considered for publication. Reviewing recently published books in the field is welcomed for publication. JOMA has a section dedicated to the activities of the International Association of Maritime Universities (IAMU). The IAMU Section is focused on maritime education and training (MET). Articles and book reviews to be accepted for publication in the IAMU Section follow the Journal’s guidelines. Issues of Contemporary Interest, Reports and Comments in the field of MET are not always covered by traditional research; however, valuable lessons could be learned from best practices or critical discussions from a perspective of practitioners. IAMU and JOMA encourage experts in the field to submit their views to the IAMU Section. Authoritative voices and leading figures in the Journal domains are occasionally invited to submit an article as an Invited Paper. A well prepared proposal for a Special Issue is also welcome. More can be obtained from the editor-in-chief.
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