Search Results - "The Maritimes"

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    Splendors of Quanzhou, Past and Present by Brown, William N.

    Published 2023
    Table of Contents: “…Quanzhou at a Glance -- The Story of Zaytun -- Exploring Quanzhou Maritime Museum -- Exploring the Ancient Maritime Silk Road in Today's Quanzhou -- Quanzhou: Home of Miraculous Chinese Puppets!.…”
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    The Future of the Law of the Sea Bridging Gaps Between National, Individual and Common Interests /

    Published 2017
    Table of Contents: “…Martin Perez, The environmental legal framework for the development of blue energy in Europe -- Monserrat Abad Castellos, The Black Sea and Blue Energy: challenges, opportunities and the role of the European Union -- Part II - The national and international response to maritime crimes: Giorgia Bevilacqua, Exploring the Ambiguity of Operation Sophia between Military and Search and Rescue Activities -- Jasenko Marin, Miso Mudric and Robert Mikac, Private Maritime Security Contractors and Use of Lethal Force in Maritime Domain -- Magne Frostad, United Nations authorized Embargoes and Maritime Interdiction: a Special Focus on Somalia -- Pirjo Kleemola-Juntunen, The Right of Innocent Passage: The Challenge of the Proliferation Security Initiative and the Implications for the Territorial Waters of the Åland Islands.…”
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    Multiple-Aspect Analysis of Semantic Trajectories First International Workshop, MASTER 2019, Held in Conjunction with ECML-PKDD 2019, Würzburg, Germany, September 16, 2019, Proceed...

    Published 2020
    Table of Contents: “…Learning from our Movements - The Mobility Data Analytics Era -- Uncovering hidden concepts from AIS data: A network abstraction of maritime traffic for anomaly detection -- Nowcasting Unemployment Rates with Smartphone GPS data -- Online long-term trajectory prediction based on mined route patterns -- EvolvingClusters: Online Discovery of Group Patterns in Enriched Maritime Data -- Prospective Data Model and Distributed Query Processing for Mobile Sensing Data Streams -- Predicting Fishing Effort and Catch Using Semantic Trajectories and Machine Learning -- A Neighborhood-augmented LSTM Model for Taxi-Passenger Demand Prediction -- Multi-Channel Convolutional Neural Networks for Handling Multi-Dimensional Semantic Trajectories and Predicting Future Semantic Locations.…”
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    Electronic eBook