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<span style="font-size:10.0pt;font-family:"Verdana",sans-serif;color:black">The </span><b><i><u><span style="font-size:10.0pt;font-family:"Verdana",sans-serif;color:#0563C1"><a href="https://academic.oup.com/icesjms" target="_blank"><span style="color:#0563C1">ICES
Journal of Marine Science</span></a></span></u></i></b><span style="font-size:10.0pt;font-family:"Verdana",sans-serif;color:black"> (ICES JMS) strives to advance marine science by making judicious use of themed article sets (TSs). TS’s are series of coordinated
contributions – introduced by a synthetic overview - on a selected topic.<o:p></o:p></span></p>
<p class="MsoNormal" style="margin-bottom:0in;margin-bottom:.0001pt;line-height:normal;background:white">
<span style="font-size:10.0pt;font-family:"Verdana",sans-serif;color:black"><o:p> </o:p></span></p>
<p class="MsoNormal" style="margin-bottom:0in;margin-bottom:.0001pt;line-height:normal;background:white">
<i><span style="font-size:10.0pt;font-family:"Verdana",sans-serif;color:black">We invite you to participate in a
<a name="_Hlk526970644">TS on ”<b>Applications of machine learning and artificial intelligence in marine science</b></a></span></i><span style="mso-bookmark:_Hlk526970644"></span><span style="font-size:10.0pt;font-family:"Verdana",sans-serif;color:black">”<i>.</i><o:p></o:p></span></p>
<p class="MsoNormal" style="margin-bottom:0in;margin-bottom:.0001pt;line-height:normal;background:white">
<span style="font-size:10.0pt;font-family:"Verdana",sans-serif;color:black"><o:p> </o:p></span></p>
<p class="MsoNormal" style="margin-bottom:0in;margin-bottom:.0001pt;line-height:normal;background:white">
<span style="font-size:10.0pt;font-family:"Verdana",sans-serif;color:black">The objective of this TS is to bring together contributions on the broad theme of the applications of machine learning, artificial intelligence, deep learning and advanced data systems
(e.g. block chains) to research, monitoring and management of marine organisms and ecosystems. We welcome contributions on the following topics, among others:<o:p></o:p></span></p>
<p class="MsoNormal" style="margin-bottom:0in;margin-bottom:.0001pt;line-height:normal;background:white">
<span style="font-size:10.0pt;font-family:"Verdana",sans-serif;color:black"> <o:p></o:p></span></p>
<ul style="margin-top:0in" type="disc">
<li class="MsoNormal" style="color:black;margin-bottom:0in;margin-bottom:.0001pt;line-height:normal;mso-list:l0 level1 lfo1;background:white">
<span style="font-size:10.0pt;font-family:"Verdana",sans-serif">Automatic marine ecosystem monitoring based on visual and/or acoustic data<o:p></o:p></span></li><li class="MsoNormal" style="color:black;margin-bottom:0in;margin-bottom:.0001pt;line-height:normal;mso-list:l0 level1 lfo1;background:white">
<span style="font-size:10.0pt;font-family:"Verdana",sans-serif">Automatic fish detection<o:p></o:p></span></li><li class="MsoNormal" style="color:black;margin-bottom:0in;margin-bottom:.0001pt;line-height:normal;mso-list:l0 level1 lfo1;background:white">
<span style="font-size:10.0pt;font-family:"Verdana",sans-serif">Automatic coral reef state detection (e.g. health, dead/alive)<o:p></o:p></span></li><li class="MsoNormal" style="color:black;margin-bottom:0in;margin-bottom:.0001pt;line-height:normal;mso-list:l0 level1 lfo1;background:white">
<span style="font-size:10.0pt;font-family:"Verdana",sans-serif">Underwater measurement of fish length<o:p></o:p></span></li><li class="MsoNormal" style="color:black;margin-bottom:0in;margin-bottom:.0001pt;line-height:normal;mso-list:l0 level1 lfo1;background:white">
<span style="font-size:10.0pt;font-family:"Verdana",sans-serif">Automatic fish counting, e.g. to analyze the effect of global warming<o:p></o:p></span></li><li class="MsoNormal" style="color:black;margin-bottom:0in;margin-bottom:.0001pt;line-height:normal;mso-list:l0 level1 lfo1;background:white">
<span style="font-size:10.0pt;font-family:"Verdana",sans-serif">Automatic fish tracking (e.g. swimming speeds and trajectories)<o:p></o:p></span></li><li class="MsoNormal" style="color:black;margin-bottom:0in;margin-bottom:.0001pt;line-height:normal;mso-list:l0 level1 lfo1;background:white">
<span style="font-size:10.0pt;font-family:"Verdana",sans-serif">Automatic fish species classification/recognition/identification<o:p></o:p></span></li><li class="MsoNormal" style="color:black;margin-bottom:0in;margin-bottom:.0001pt;line-height:normal;mso-list:l0 level1 lfo1;background:white">
<span style="font-size:10.0pt;font-family:"Verdana",sans-serif">Characterizing interactions between fish (e.g. predator-prey relationships)<o:p></o:p></span></li><li class="MsoNormal" style="color:black;margin-bottom:0in;margin-bottom:.0001pt;line-height:normal;mso-list:l0 level1 lfo1;background:white">
<span style="font-size:10.0pt;font-family:"Verdana",sans-serif">Fine-grained automatic object recognition in underwater visual data (e.g. substrate classification, planktons)<o:p></o:p></span></li><li class="MsoNormal" style="color:black;margin-bottom:0in;margin-bottom:.0001pt;line-height:normal;mso-list:l0 level1 lfo1;background:white">
<span style="font-size:10.0pt;font-family:"Verdana",sans-serif">Applications of block chain technology/systems<o:p></o:p></span></li><li class="MsoNormal" style="color:black;margin-bottom:0in;margin-bottom:.0001pt;line-height:normal;mso-list:l0 level1 lfo1;background:white">
<span style="font-size:10.0pt;font-family:"Verdana",sans-serif">Automatic detection/classification of Marine Animals Acoustics (e.g. whales, dolphins)<o:p></o:p></span></li><li class="MsoNormal" style="color:black;margin-bottom:0in;margin-bottom:.0001pt;line-height:normal;mso-list:l0 level1 lfo1;background:white">
<span style="font-size:10.0pt;font-family:"Verdana",sans-serif">Automatic systems for <a href="https://agu.confex.com/agu/os18/preliminaryview.cgi/Paper301941.html" target="_blank"><span style="color:black;text-decoration:none">fisheries management</span></a><o:p></o:p></span></li></ul>
<p class="MsoNormal" style="margin-bottom:0in;margin-bottom:.0001pt;line-height:normal;background:white">
<span style="font-size:10.0pt;font-family:"Verdana",sans-serif;color:black"><o:p> </o:p></span></p>
<p class="MsoNormal" style="margin-bottom:0in;margin-bottom:.0001pt;line-height:normal;background:white">
<span style="font-size:10.0pt;font-family:"Verdana",sans-serif;color:black">Manuscripts should<o:p></o:p></span></p>
<p class="MsoNormal" style="margin-bottom:0in;margin-bottom:.0001pt;line-height:normal;background:white">
<span style="font-size:10.0pt;font-family:"Verdana",sans-serif;color:black"> <o:p></o:p></span></p>
<ul style="margin-top:0in" type="disc">
<li class="MsoNormal" style="color:black;margin-bottom:0in;margin-bottom:.0001pt;line-height:normal;mso-list:l1 level1 lfo2;background:white">
<span style="font-size:10.0pt;font-family:"Verdana",sans-serif">present case studies of the implementation of systems that apply machine learning/deep learning algorithms;<o:p></o:p></span></li><li class="MsoNormal" style="color:black;margin-bottom:0in;margin-bottom:.0001pt;line-height:normal;mso-list:l1 level1 lfo2;background:white">
<span style="font-size:10.0pt;font-family:"Verdana",sans-serif">be novel in terms of the tool/software/user interface presented, which should be something that marine scientists can use in their work, although not necessarily novel in terms of the methodology
itself;<o:p></o:p></span></li><li class="MsoNormal" style="color:black;margin-bottom:0in;margin-bottom:.0001pt;line-height:normal;mso-list:l1 level1 lfo2;background:white">
<span style="font-size:10.0pt;font-family:"Verdana",sans-serif">include big real-life (underwater) data, that were collected over months/years and analysis of which cannot reasonably be performed manually by humans;<o:p></o:p></span></li><li class="MsoNormal" style="color:black;margin-bottom:0in;margin-bottom:.0001pt;line-height:normal;mso-list:l1 level1 lfo2;background:white">
<span style="font-size:10.0pt;font-family:"Verdana",sans-serif">be a synthetic review that investigates the existing methods for the given topics but also proposes future directions such that machine learning, big data analysis methods can be used.<o:p></o:p></span></li></ul>
<p class="MsoNormal" style="margin-bottom:0in;margin-bottom:.0001pt;line-height:normal;background:white">
<span style="font-size:10.0pt;font-family:"Verdana",sans-serif;color:black"><o:p> </o:p></span></p>
<p class="MsoNormal" style="margin-bottom:0in;margin-bottom:.0001pt;line-height:normal;background:white">
<span style="font-size:10.0pt;font-family:"Verdana",sans-serif;color:black">Manuscripts should not be exclusively descriptions of methods unaccompanied by a case study application.
</span><span style="font-size:10.0pt;font-family:"Verdana",sans-serif;color:black">In addition to original research articles, contributions can take the form of a review, a “Food for Thought” essay in which you present a thought-provoking or controversial issue,
or a “Quo Vadimus” essay in which you describe what you see as the future of the field, question or issue.</span><span style="font-size:10.0pt;font-family:"Verdana",sans-serif;color:black"><o:p></o:p></span></p>
<p class="MsoNormal" style="margin-bottom:0in;margin-bottom:.0001pt;line-height:normal;background:white">
<span style="font-size:10.0pt;font-family:"Verdana",sans-serif;color:black"><o:p> </o:p></span></p>
<p class="MsoNormal" style="margin-bottom:0in;margin-bottom:.0001pt;line-height:normal;background:white">
<b><i><span style="font-size:10.0pt;font-family:"Verdana",sans-serif;color:black">The deadline for submissions is 6 May 2019.</span></i></b><i><span style="font-size:10.0pt;font-family:"Verdana",sans-serif;color:black"> For more information regarding the call,
submission and review process, please refer to: </span></i><span class="MsoHyperlink"><i><span style="font-size:10.0pt;font-family:"Verdana",sans-serif"><a href="https://www.dropbox.com/s/xw3r1tfx1jw3cjt/Invitation%20to%20contribute%20to%20a%20TS%20on%20applications%20of%20machine%20learning_Final.pdf?dl=0">https://www.dropbox.com/s/xw3r1tfx1jw3cjt/Invitation%20to%20contribute%20to%20a%20TS%20on%20applications%20of%20machine%20learning_Final.pdf?dl=0</a></span></i></span><i><span style="font-size:10.0pt;font-family:"Verdana",sans-serif;color:black"><o:p></o:p></span></i></p>
<p class="MsoNormal" style="margin-bottom:0in;margin-bottom:.0001pt;line-height:normal;background:white">
<span style="font-size:10.0pt;font-family:"Verdana",sans-serif;color:black"> <o:p></o:p></span></p>
<p class="MsoNormal" style="margin-bottom:0in;margin-bottom:.0001pt;line-height:normal;background:white">
<span style="font-size:10.0pt;font-family:"Verdana",sans-serif;color:black">Yours sincerely,<o:p></o:p></span></p>
<p class="MsoNormal" style="margin-bottom:0in;margin-bottom:.0001pt;line-height:normal;background:white">
<span style="font-size:10.0pt;font-family:"Verdana",sans-serif;color:black"> <o:p></o:p></span></p>
<p class="MsoNormal" style="margin-bottom:0in;margin-bottom:.0001pt;line-height:normal;background:white">
<span style="font-size:10.0pt;font-family:"Verdana",sans-serif;color:black">Cigdem Beyan and Howard Browman<o:p></o:p></span></p>
<p class="MsoNormal" style="margin-bottom:0in;margin-bottom:.0001pt;line-height:normal;background:white">
<span style="font-size:10.0pt;font-family:"Verdana",sans-serif;color:black">Editors, ICES JMS<o:p></o:p></span></p>
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