書(shū)目名稱Guide to Maritime Informatics影響因子(影響力)學(xué)科排名
書(shū)目名稱Guide to Maritime Informatics網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱Guide to Maritime Informatics網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱Guide to Maritime Informatics被引頻次
書(shū)目名稱Guide to Maritime Informatics被引頻次學(xué)科排名
書(shū)目名稱Guide to Maritime Informatics年度引用
書(shū)目名稱Guide to Maritime Informatics年度引用學(xué)科排名
書(shū)目名稱Guide to Maritime Informatics讀者反饋
書(shū)目名稱Guide to Maritime Informatics讀者反饋學(xué)科排名
作者: 評(píng)論性 時(shí)間: 2025-3-21 23:40
Society and Politics in Mediaeval Italyhe syntax of the widespread relational database management system . and its spatial extension ., which are an established and standard-based combination for spatial data representation and querying. Along the chapter, the reader is guided to experience the spatio-temporal features offered by the dat作者: rectum 時(shí)間: 2025-3-22 03:05 作者: Altitude 時(shí)間: 2025-3-22 07:17
The Juge-Auditeur and Hearing the People,calculus defines then directly the output of the algorithm and the result presented to the user. In this chapter, we dissect six classical Uncertainty Representation and Reasoning Techniques (URRTs), each solving the problem of track to route association. In their basic form, the URRTs are framed in作者: Mingle 時(shí)間: 2025-3-22 11:07
The Problem of Political Representationnamely cargo and bulk, showing that larger ports and links are more diversified. Lastly, what are the substructures or geographic patterns underlying the distribution of maritime flows? To answer this, we examine the influence of physical distance on connectivity and on the emergence of subnetworks.作者: 抵制 時(shí)間: 2025-3-22 14:36 作者: 抵制 時(shí)間: 2025-3-22 17:31 作者: 太空 時(shí)間: 2025-3-23 00:12
Online Mobility Tracking Against Evolving Maritime Trajectoriesstreaming positions that convey salient . (stop, change in speed or heading, slow motion, etc.) detected when the motion pattern of a given vessel changes significantly. Finally, we discuss a qualitative comparison of maritime-specific synopses along with trajectory approximations obtained from gene作者: 充足 時(shí)間: 2025-3-23 03:07 作者: travail 時(shí)間: 2025-3-23 06:25 作者: defenses 時(shí)間: 2025-3-23 13:06 作者: recede 時(shí)間: 2025-3-23 17:01 作者: frivolous 時(shí)間: 2025-3-23 21:27
Composite Maritime Event Recognitional language. For effective recognition, the presented maritime patterns have been developed in close collaboration with domain experts, and evaluated with the use of real-world Automatic Identification System (AIS) datasets.作者: lactic 時(shí)間: 2025-3-23 22:12 作者: moratorium 時(shí)間: 2025-3-24 05:27
https://doi.org/10.1007/978-1-349-27016-3ls solely with the economics and analytics of bulk shipping (i.e. bulk carriers or tankers) as it represents the purest case of a perfectly competitive market where observed changes in supply and demand should have some bearing on the economic outcomes.作者: pacific 時(shí)間: 2025-3-24 07:11 作者: 側(cè)面左右 時(shí)間: 2025-3-24 13:19
Shipping Economics and Analyticsls solely with the economics and analytics of bulk shipping (i.e. bulk carriers or tankers) as it represents the purest case of a perfectly competitive market where observed changes in supply and demand should have some bearing on the economic outcomes.作者: Veneer 時(shí)間: 2025-3-24 18:17 作者: TIA742 時(shí)間: 2025-3-24 21:13 作者: 具體 時(shí)間: 2025-3-25 00:15
The Uncertain in Gender Relations discovery relevant to the maritime domain, focusing on spatial and spatio-temporal data. Due to the processing-intensive nature of the link discovery task over voluminous data, several techniques for efficient processing are presented together with examples on real-world data from the maritime domain.作者: bizarre 時(shí)間: 2025-3-25 06:47
Maritime Data Analytics clean, transform, compress and partition long GPS traces into meaningful portions of movement. Finally, we overview some representative maritime knowledge discovery techniques, such as trajectory clustering, group behaviour identification, hot-spot analysis, frequent route or network discovery and data-driven predictive analytics methods.作者: 木質(zhì) 時(shí)間: 2025-3-25 08:34 作者: Myocyte 時(shí)間: 2025-3-25 11:38
The Chief Minister: Policies and Critics,hange information through radio reports. This information is used to provide data for multiple purposes including search and rescue, vessel traffic services, prevention of marine pollution and many more. In reality though researchers and scientists are finding out that these data sets provide a new 作者: 茁壯成長(zhǎng) 時(shí)間: 2025-3-25 17:39 作者: Conquest 時(shí)間: 2025-3-25 23:02
Society and Politics in Mediaeval Italydealing with average-size and known in advance geographic data that can be represented in tabular form. This chapter explores off-line maritime data processing in such relational databases and provides a step-by-step guide to build a maritime database for investigating maritime traffic and vessel be作者: 不能逃避 時(shí)間: 2025-3-26 01:27 作者: Platelet 時(shí)間: 2025-3-26 07:02
https://doi.org/10.1007/978-3-030-56481-0ne interactive, human-controllable visual displays with interactive operations for data querying and filtering, data transformations, calculation of derived data, and application of computational techniques for analysis and modelling. We demonstrate the use of visual analytics techniques and procedu作者: BIDE 時(shí)間: 2025-3-26 11:34 作者: cocoon 時(shí)間: 2025-3-26 14:37
The Uncertain in Gender Relationsnate from different data sources. Essentially, link discovery is a step towards data integration, which enables interlinking data from disparate sources. As a typical example, vessel trajectories need to be enriched with various types of information: weather conditions, events, contextual data. In t作者: outrage 時(shí)間: 2025-3-26 19:56 作者: Glossy 時(shí)間: 2025-3-26 23:45
The Juge-Auditeur and Hearing the People,, as correlating their output allows detecting inconsistencies in vessels’ behaviour. In particular, detecting the route followed by vessels, and identifying off-route vessels is a challenging problem which requires a first characterisation of maritime routes (the normalcy) and secondly the associat作者: nonplus 時(shí)間: 2025-3-27 04:03 作者: defeatist 時(shí)間: 2025-3-27 07:03 作者: insurgent 時(shí)間: 2025-3-27 09:44 作者: conspicuous 時(shí)間: 2025-3-27 14:57 作者: 逃避系列單詞 時(shí)間: 2025-3-27 18:58 作者: ablate 時(shí)間: 2025-3-28 00:37
Maritime Data Analyticson the maritime domain, this relates to several challenging use-case scenarios, such as discovering valuable behavioural patterns of moving objects, identifying different types of activities in a region of interest, estimating fishing pressure or environmental fingerprint, etc. In this chapter, we f作者: 確定 時(shí)間: 2025-3-28 04:55 作者: BROW 時(shí)間: 2025-3-28 06:51 作者: 職業(yè)拳擊手 時(shí)間: 2025-3-28 12:44
Link Discovery for Maritime Monitoringnate from different data sources. Essentially, link discovery is a step towards data integration, which enables interlinking data from disparate sources. As a typical example, vessel trajectories need to be enriched with various types of information: weather conditions, events, contextual data. In t作者: Palpitation 時(shí)間: 2025-3-28 15:50 作者: 嚴(yán)厲批評(píng) 時(shí)間: 2025-3-28 21:34 作者: obstruct 時(shí)間: 2025-3-29 01:45
Maritime Network Analysis: Connectivity and Spatial Distributionop 50 European ports in 2017. Such methods help to detect the main topological and geographic structures of this network in order to answer three main questions. First, why are certain port nodes better connected than others? Such a level of hierarchy is best approached by testing the scale-free and作者: 我說(shuō)不重要 時(shí)間: 2025-3-29 06:31
Shipping Economics and Analytics the limitations of using AIS data alone for economic analysis soon become apparent, though it remains a very useful tool. In this chapter we review how AIS data can be used for data-driven market analysis in shipping. In particular, we outline how AIS data can be used to track commodity flows and k作者: LINE 時(shí)間: 2025-3-29 07:38 作者: Expediency 時(shí)間: 2025-3-29 13:54 作者: 拉開(kāi)這車(chē)床 時(shí)間: 2025-3-29 15:41
