BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Europe/Skopje BEGIN:DAYLIGHT DTSTART:20220327T030000 TZOFFSETFROM:+0100 TZOFFSETTO:+0200 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZNAME:CEST END:DAYLIGHT BEGIN:STANDARD DTSTART:20221030T020000 TZOFFSETFROM:+0200 TZOFFSETTO:+0100 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:CET END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20220826T122710Z UID:E8052120-FFED-4FE3-A498-4F8D12F08B80 DTSTART;TZID=Europe/Skopje:20220624T110000 DTEND;TZID=Europe/Skopje:20220624T130000 DESCRIPTION:Deep learning applications to remote sensing and medicine\n\nFi rstly\, professor António Cunha will present some ongoing works on the gr oup.\n\n1) SAR Interferometry techniques are used for detecting and monito ring ground deformation all over the planet\, such as earthquakes.\n\nWe p resent deep learning vision transformer models to automatically detect sei smic deformation in SAR interferograms.\n\n2) The grapevine variety plays an important role in wine chain production\, thus identifying it is crucia l for control activities. However\, the specialists responsible for identi fying the different varieties are disappearing. We present a study allowin g the assessment of removing background regions from the grapevine images in the improvement grapevine variety classification using DL models.\n\n3) Glaucoma is a silent disease that leads to vision loss or irreversible bl indness. Current deep learning methods can help glaucoma screening by exte nding it to larger populations using retinal images. Low-cost lenses attac hed to mobile devices can increase the frequency of screening and alert pa tients earlier for a more thorough evaluation. We explored and compared th e performance of classification and segmentation methods for glaucoma scre ening with retinal images acquired by both retinography and mobile devices \n\nBiomimetics of nests – Sustainable construction material\n\nSandra P ereira will present the work on biomimetics of nests.\n\nAsian wasp nest m ay be an interesting construction in terms of building materials\, archite cture\, structure and building process. Learning about this natural constr uction can give guidance to real constructions\, about the solutions and m aterials\, its thermal\, acoustic and ventilation behaviour. Asian wasp ne st may be an interesting construction in terms of building materials\, arc hitecture\, structure and building process. Learning about this natural co nstruction can give guidance to real constructions\, about the solutions a nd materials\, its thermal\, acoustic and ventilation behaviour.\n\nSpeake r(s): António Cunha\, PhD\, Sandra Pereira\, PhD\n\nAgenda: \nPart 1 - Re search group presentation\n\nPart 2 - Deep learning applications to remote sensing and medicine\n\nPart 3 - Biomimetics of nests – Sustainable con struction material\n\nVirtual: https://events.vtools.ieee.org/m/317676 LOCATION:Virtual: https://events.vtools.ieee.org/m/317676 ORGANIZER:katarina.trojacanec@finki.ukim.mk SEQUENCE:5 SUMMARY:Invited Lecture: Deep learning applications to remote sensing and m edicine / Biomimetics of nests – Sustainable construction material URL;VALUE=URI:https://events.vtools.ieee.org/m/317676 X-ALT-DESC:Description: <br /><div><strong style="font-family: -apple-syste m\, BlinkMacSystemFont\, 'Segoe UI'\, Roboto\, Oxygen\, Ubuntu\, Cantarell \, 'Open Sans'\, 'Helvetica Neue'\, sans-serif\;">Deep learning applicatio ns to remote sensing and medicine</strong></div>\n<div>\n<p>Firstly\, prof essor Ant&oacute\;nio Cunha will present some ongoing works on the group.< /p>\n<p>&nbsp\;</p>\n</div>\n<div>\n<p>1) SAR Interferometry techniques ar e used for detecting and monitoring ground deformation all over the planet \, such as earthquakes.</p>\n</div>\n<div>\n<p>We present&nbsp\;deep learn ing vision transformer models to automatically detect seismic deformation in SAR interferograms.</p>\n</div>\n<div>\n<p>&nbsp\;</p>\n</div>\n<p>2) T he grapevine variety plays an important role in wine chain production\, th us identifying it is crucial for control activities. However\, the special ists responsible for identifying the different varieties&nbsp\;are disappe aring. We present a study allowing the assessment of removing background r egions from the grapevine images in the improvement grapevine variety&nbsp \;classification using DL models.</p>\n<div>\n<p>&nbsp\;</p>\n<div>\n<p>3) Glaucoma is a silent disease that leads to vision loss or irreversible bl indness. Current deep learning methods can help glaucoma screening by exte nding it to larger populations using retinal images. Low-cost lenses attac hed to mobile devices can increase the frequency of screening and alert pa tients earlier for a more thorough evaluation. We explored and compared th e performance of classification and segmentation methods for glaucoma scre ening with retinal images acquired by both retinography and mobile devices &nbsp\;&nbsp\;</p>\n</div>\n<div>\n<p>&nbsp\;</p>\n<div>\n<div>\n<div>\n<d iv>\n<p><strong>Biomimetics of nests &ndash\; Sustainable construction mat erial</strong></p>\n</div>\n<div>\n<p>Sandra Pereira will present the work on biomimetics of nests.</p>\n</div>\n<div>\n<p><span lang="en-GB">Asian wasp nest may be an interesting construction in terms of building material s\, architecture\, structure and building process. Learning about this nat ural construction can give guidance to real constructions\, about the solu tions and materials\, its thermal\, acoustic and ventilation behaviour.</s pan><span lang="en-GB">&nbsp\;Asian wasp nest may be an interesting constr uction in terms of building materials\, architecture\, structure and build ing process. Learning about this natural construction can give guidance to real constructions\, about the solutions and materials\, its thermal\, ac oustic and ventilation behaviour.</span></p>\n</div>\n</div>\n</div>\n</di v>\n</div>\n</div><br /><br />Agenda: <br /><div>\n<p>Part 1 - Research gr oup presentation</p>\n</div>\n<div>\n<p>Part 2 -&nbsp\; Deep learning appl ications to remote sensing and medicine</p>\n</div>\n<div>\n<div>\n<div>\n <div>\n<div>\n<div>\n<p>Part 3 - Biomimetics of nests &ndash\; Sustainable construction material</p>\n</div>\n<div>&nbsp\;</div>\n<div>\n<p>&nbsp\;< /p>\n</div>\n</div>\n</div>\n</div>\n</div>\n</div> END:VEVENT END:VCALENDAR