{"id":1425,"date":"2020-12-02T12:55:55","date_gmt":"2020-12-02T10:55:55","guid":{"rendered":"http:\/\/users.utu.fi\/fahfar\/?page_id=1425"},"modified":"2024-05-17T15:39:59","modified_gmt":"2024-05-17T13:39:59","slug":"projects","status":"publish","type":"page","link":"https:\/\/users.utu.fi\/fahfar\/projects\/","title":{"rendered":"Projects"},"content":{"rendered":"<table style=\"border-collapse: collapse;width: 0%\">\n<tbody>\n<tr>\n<td style=\"width: 25.315391084945333%\">\n<p><figure id=\"attachment_1533\" aria-describedby=\"caption-attachment-1533\" style=\"width: 300px\" class=\"wp-caption alignnone\"><img decoding=\"async\" class=\"wp-image-1533 size-medium lazyload\" data-src=\"https:\/\/users.utu.fi\/fahfar\/wp-content\/uploads\/sites\/31\/2020\/12\/smart_pig-300x216.png\" alt=\"\" width=\"300\" height=\"216\" data-srcset=\"https:\/\/users.utu.fi\/fahfar\/wp-content\/uploads\/sites\/31\/2020\/12\/smart_pig-300x216.png 300w, https:\/\/users.utu.fi\/fahfar\/wp-content\/uploads\/sites\/31\/2020\/12\/smart_pig.png 418w\" data-sizes=\"(max-width: 300px) 100vw, 300px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 300px; --smush-placeholder-aspect-ratio: 300\/216;\" \/><figcaption id=\"caption-attachment-1533\" class=\"wp-caption-text\"><a href=\"https:\/\/www.luke.fi\/en\/projects\/autopig\">Automatic monitoring system of sows and piglets for pose estimation (AutoPig)<\/a><\/figcaption><\/figure><\/td>\n<td style=\"width: 23.96972245584525%\">\n<p><figure id=\"attachment_1464\" aria-describedby=\"caption-attachment-1464\" style=\"width: 275px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/gitlab.com\/farahnakianfahimeh\/deep-convolutional-neural-networked-based-multisensor-fusion-for-autonomous-vehicles\"><img decoding=\"async\" class=\"wp-image-1464 size-full lazyload\" data-src=\"https:\/\/users.utu.fi\/fahfar\/wp-content\/uploads\/sites\/31\/2020\/12\/self-drivinng-car.jpg\" alt=\"\" width=\"275\" height=\"183\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 275px; --smush-placeholder-aspect-ratio: 275\/183;\" \/><\/a><figcaption id=\"caption-attachment-1464\" class=\"wp-caption-text\"><a href=\"https:\/\/gitlab.com\/farahnakianfahimeh\/deep-convolutional-neural-networked-based-multisensor-fusion-for-autonomous-vehicles\">Deep Convolutional Neural Networked-based Multisensor Fusion for Autonomous Cars<\/a><\/figcaption><\/figure><\/td>\n<td style=\"width: 25.315391084945333%\">\n<p><figure id=\"attachment_1470\" aria-describedby=\"caption-attachment-1470\" style=\"width: 300px\" class=\"wp-caption aligncenter\"><img decoding=\"async\" class=\"wp-image-1470 size-medium lazyload\" data-src=\"https:\/\/users.utu.fi\/fahfar\/wp-content\/uploads\/sites\/31\/2020\/12\/DJI_0009-300x225.jpg\" alt=\"\" width=\"300\" height=\"225\" data-srcset=\"https:\/\/users.utu.fi\/fahfar\/wp-content\/uploads\/sites\/31\/2020\/12\/DJI_0009-300x225.jpg 300w, https:\/\/users.utu.fi\/fahfar\/wp-content\/uploads\/sites\/31\/2020\/12\/DJI_0009-1024x767.jpg 1024w, https:\/\/users.utu.fi\/fahfar\/wp-content\/uploads\/sites\/31\/2020\/12\/DJI_0009-768x576.jpg 768w, https:\/\/users.utu.fi\/fahfar\/wp-content\/uploads\/sites\/31\/2020\/12\/DJI_0009-1536x1151.jpg 1536w, https:\/\/users.utu.fi\/fahfar\/wp-content\/uploads\/sites\/31\/2020\/12\/DJI_0009-2048x1535.jpg 2048w\" data-sizes=\"(max-width: 300px) 100vw, 300px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 300px; --smush-placeholder-aspect-ratio: 300\/225;\" \/><figcaption id=\"caption-attachment-1470\" class=\"wp-caption-text\"><a href=\"https:\/\/gitlab.utu.fi\/drone-warehouse\/beam_defect_detection\">Autonomous pallet rack damage inspection and detection<\/a><\/figcaption><\/figure><\/td>\n<td style=\"width: 25.315391084945333%\">\n<p><figure id=\"attachment_1473\" aria-describedby=\"caption-attachment-1473\" style=\"width: 300px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/gitlab.com\/farahnakianfahimeh\/aumak#\"><img decoding=\"async\" class=\"wp-image-1473 size-medium lazyload\" data-src=\"https:\/\/users.utu.fi\/fahfar\/wp-content\/uploads\/sites\/31\/2020\/12\/Screen-Shot-2020-12-02-at-16.07.34-300x216.png\" alt=\"\" width=\"300\" height=\"216\" data-srcset=\"https:\/\/users.utu.fi\/fahfar\/wp-content\/uploads\/sites\/31\/2020\/12\/Screen-Shot-2020-12-02-at-16.07.34-300x216.png 300w, https:\/\/users.utu.fi\/fahfar\/wp-content\/uploads\/sites\/31\/2020\/12\/Screen-Shot-2020-12-02-at-16.07.34.png 418w\" data-sizes=\"(max-width: 300px) 100vw, 300px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 300px; --smush-placeholder-aspect-ratio: 300\/216;\" \/><\/a><figcaption id=\"caption-attachment-1473\" class=\"wp-caption-text\"><a href=\"https:\/\/gitlab.com\/farahnakianfahimeh\/aumak#\">New 3D analytics methods for intelligent ships and machines (AUMAK)<\/a><\/figcaption><\/figure><\/td>\n<\/tr>\n<tr data-wp-editing=\"1\">\n<td style=\"width: 25.315391084945333%\">\n<figure id=\"attachment_1548\" aria-describedby=\"caption-attachment-1548\" style=\"width: 300px\" class=\"wp-caption alignnone\"><a href=\"https:\/\/www.rolls-royce.com\/~\/media\/Files\/R\/Rolls-Royce\/documents\/customers\/marine\/ship-intel\/aawa-whitepaper-210616.pdf)\"><img decoding=\"async\" class=\"wp-image-1548 size-medium lazyload\" data-src=\"https:\/\/users.utu.fi\/fahfar\/wp-content\/uploads\/sites\/31\/2020\/12\/Screen-Shot-2020-12-02-at-16.07.43-1-300x216.png\" alt=\"\" width=\"300\" height=\"216\" data-srcset=\"https:\/\/users.utu.fi\/fahfar\/wp-content\/uploads\/sites\/31\/2020\/12\/Screen-Shot-2020-12-02-at-16.07.43-1-300x216.png 300w, https:\/\/users.utu.fi\/fahfar\/wp-content\/uploads\/sites\/31\/2020\/12\/Screen-Shot-2020-12-02-at-16.07.43-1.png 418w\" data-sizes=\"(max-width: 300px) 100vw, 300px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 300px; --smush-placeholder-aspect-ratio: 300\/216;\" \/><\/a><figcaption id=\"caption-attachment-1548\" class=\"wp-caption-text\">Remote and Autonomous Ships (AAWA)<\/figcaption><\/figure>\n<p>&nbsp;<\/td>\n<td style=\"width: 23.96972245584525%\">\n<p><figure id=\"attachment_1542\" aria-describedby=\"caption-attachment-1542\" style=\"width: 286px\" class=\"wp-caption aligncenter\"><img decoding=\"async\" class=\"wp-image-1542 lazyload\" data-src=\"https:\/\/users.utu.fi\/fahfar\/wp-content\/uploads\/sites\/31\/2020\/12\/Unknown-300x216.png\" alt=\"\" width=\"286\" height=\"206\" data-srcset=\"https:\/\/users.utu.fi\/fahfar\/wp-content\/uploads\/sites\/31\/2020\/12\/Unknown-300x216.png 300w, https:\/\/users.utu.fi\/fahfar\/wp-content\/uploads\/sites\/31\/2020\/12\/Unknown.png 418w\" data-sizes=\"(max-width: 286px) 100vw, 286px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 286px; --smush-placeholder-aspect-ratio: 286\/206;\" \/><figcaption id=\"caption-attachment-1542\" class=\"wp-caption-text\">Anomaly-based Intrusion Detection<\/figcaption><\/figure><\/td>\n<td style=\"width: 25.315391084945333%\">\n<p><figure id=\"attachment_1554\" aria-describedby=\"caption-attachment-1554\" style=\"width: 300px\" class=\"wp-caption alignnone\"><img decoding=\"async\" class=\"wp-image-1554 size-medium lazyload\" data-src=\"https:\/\/users.utu.fi\/fahfar\/wp-content\/uploads\/sites\/31\/2020\/12\/Picture1-3-300x216.png\" alt=\"\" width=\"300\" height=\"216\" data-srcset=\"https:\/\/users.utu.fi\/fahfar\/wp-content\/uploads\/sites\/31\/2020\/12\/Picture1-3-300x216.png 300w, https:\/\/users.utu.fi\/fahfar\/wp-content\/uploads\/sites\/31\/2020\/12\/Picture1-3.png 418w\" data-sizes=\"(max-width: 300px) 100vw, 300px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 300px; --smush-placeholder-aspect-ratio: 300\/216;\" \/><figcaption id=\"caption-attachment-1554\" class=\"wp-caption-text\">Self-supervised depth estimation<\/figcaption><\/figure><\/td>\n<td style=\"width: 25.315391084945333%\">\n<p><figure id=\"attachment_1536\" aria-describedby=\"caption-attachment-1536\" style=\"width: 300px\" class=\"wp-caption alignnone\"><a href=\"https:\/\/gitlab.com\/farahnakianfahimeh\/deep-learning-based-rgb-depth-fusion-for-object-detection\/-\/blob\/master\/README.md\"><img decoding=\"async\" class=\"wp-image-1536 size-medium lazyload\" data-src=\"https:\/\/users.utu.fi\/fahfar\/wp-content\/uploads\/sites\/31\/2020\/12\/Picture2-2-300x216.png\" alt=\"\" width=\"300\" height=\"216\" data-srcset=\"https:\/\/users.utu.fi\/fahfar\/wp-content\/uploads\/sites\/31\/2020\/12\/Picture2-2-300x216.png 300w, https:\/\/users.utu.fi\/fahfar\/wp-content\/uploads\/sites\/31\/2020\/12\/Picture2-2.png 418w\" data-sizes=\"(max-width: 300px) 100vw, 300px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 300px; --smush-placeholder-aspect-ratio: 300\/216;\" \/><\/a><figcaption id=\"caption-attachment-1536\" class=\"wp-caption-text\"><a href=\"https:\/\/gitlab.com\/farahnakianfahimeh\/deep-learning-based-rgb-depth-fusion-for-object-detection\/-\/blob\/master\/README.md\">Deep Learning-based RGB-depth Fusion for Object Detection<\/a><\/figcaption><\/figure><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<div class=\"mceTemp\"><\/div>\n<table style=\"border-collapse: collapse;width: 90.1882%;height: 401px\">\n<tbody>\n<tr style=\"height: 276px\">\n<td style=\"width: 35.3117%;height: 276px\"><img decoding=\"async\" class=\"image lazyload\" data-src=\"https:\/\/www.luke.fi\/sites\/default\/files\/styles\/full_width_mobile\/public\/2022-03\/TP-1.png?itok=0RHuL-WA\" alt=\"MaaTi-hankkeen ty\u00f6paketit -kuva\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" \/><\/td>\n<td style=\"width: 36.9584%;height: 276px\"><img decoding=\"async\" class=\"vc_single_image-img lazyload\" title=\"EIS original logo\" data-src=\"https:\/\/eis-he.eu\/wp-content\/uploads\/2022\/06\/EIS-original-logo-150x150.png\" alt=\"EIS original logo\" width=\"150\" height=\"150\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 150px; --smush-placeholder-aspect-ratio: 150\/150;\" \/><\/td>\n<td style=\"width: 24.993%;height: 276px\"><img decoding=\"async\" class=\"alignnone size-full wp-image-1801 lazyload\" data-src=\"https:\/\/users.utu.fi\/fahfar\/wp-content\/uploads\/sites\/31\/2024\/01\/s34i.jpeg\" alt=\"\" width=\"225\" height=\"225\" data-srcset=\"https:\/\/users.utu.fi\/fahfar\/wp-content\/uploads\/sites\/31\/2024\/01\/s34i.jpeg 225w, https:\/\/users.utu.fi\/fahfar\/wp-content\/uploads\/sites\/31\/2024\/01\/s34i-150x150.jpeg 150w\" data-sizes=\"(max-width: 225px) 100vw, 225px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 225px; --smush-placeholder-aspect-ratio: 225\/225;\" \/><\/td>\n<\/tr>\n<tr style=\"height: 50px\">\n<td style=\"width: 35.3117%;height: 50px\">\n<h1 class=\"hero__title hero__title--h1\"><a href=\"https:\/\/www.luke.fi\/en\/projects\/maati\">Advances in soil information (MAATI)<\/a><\/h1>\n<\/td>\n<td style=\"width: 36.9584%;height: 50px\"><a href=\"https:\/\/eis-he.eu\"><strong>Exploration Information System<\/strong> (EIS)<\/a><\/td>\n<td style=\"width: 24.993%;height: 50px\"><a href=\"https:\/\/s34i.eu\/\"><strong>SECURE AND SUSTAINABLE SUPPLY OF RAW MATERIALS FOR EU INDUSTRY (S34I)<\/strong><\/a><\/td>\n<\/tr>\n<tr style=\"height: 25px\">\n<td style=\"width: 35.3117%;height: 25px\">\n<h1>Artificial Intelligence in Mineral Exploration \u2013 AIMEX<\/h1>\n<\/td>\n<td style=\"width: 36.9584%;height: 25px\"><img decoding=\"async\" class=\"alignnone wp-image-1822 size-medium lazyload\" data-src=\"https:\/\/users.utu.fi\/fahfar\/wp-content\/uploads\/sites\/31\/2024\/04\/LOGO-300x100.png\" alt=\"\" width=\"300\" height=\"100\" data-srcset=\"https:\/\/users.utu.fi\/fahfar\/wp-content\/uploads\/sites\/31\/2024\/04\/LOGO-300x100.png 300w, https:\/\/users.utu.fi\/fahfar\/wp-content\/uploads\/sites\/31\/2024\/04\/LOGO-1024x341.png 1024w, https:\/\/users.utu.fi\/fahfar\/wp-content\/uploads\/sites\/31\/2024\/04\/LOGO-768x256.png 768w, https:\/\/users.utu.fi\/fahfar\/wp-content\/uploads\/sites\/31\/2024\/04\/LOGO.png 1500w\" data-sizes=\"(max-width: 300px) 100vw, 300px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 300px; --smush-placeholder-aspect-ratio: 300\/100;\" \/><\/td>\n<td style=\"width: 24.993%;height: 25px\"><strong>\u00a0<\/strong><\/td>\n<\/tr>\n<tr style=\"height: 50px\">\n<td style=\"width: 35.3117%;height: 50px\">\n<h1><a href=\"https:\/\/www.gtk.fi\/en\/research-project\/artificial-intelligence-in-mineral-exploration-aimex\/\">Artificial Intelligence in Mineral Exploration \u2013 AIMEX<\/a><\/h1>\n<h1 class=\"hero__title hero__title--h1\"><\/h1>\n<\/td>\n<td style=\"width: 36.9584%;height: 50px\"><strong>\u00a0<a href=\"https:\/\/goldenram-project.eu\/\">GoldenRAM<\/a><\/strong><\/td>\n<td style=\"width: 24.993%;height: 50px\"><strong>\u00a0<\/strong><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<div class=\"mceTemp\"><\/div>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>&nbsp; Advances in soil information (MAATI) Exploration Information System (EIS) SECURE AND SUSTAINABLE SUPPLY OF RAW MATERIALS FOR EU INDUSTRY (S34I) Artificial Intelligence in Mineral Exploration \u2013 AIMEX \u00a0 Artificial Intelligence in Mineral Exploration \u2013 AIMEX \u00a0GoldenRAM \u00a0 &nbsp;<\/p>\n","protected":false},"author":31,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1425","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/users.utu.fi\/fahfar\/wp-json\/wp\/v2\/pages\/1425","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/users.utu.fi\/fahfar\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/users.utu.fi\/fahfar\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/users.utu.fi\/fahfar\/wp-json\/wp\/v2\/users\/31"}],"replies":[{"embeddable":true,"href":"https:\/\/users.utu.fi\/fahfar\/wp-json\/wp\/v2\/comments?post=1425"}],"version-history":[{"count":27,"href":"https:\/\/users.utu.fi\/fahfar\/wp-json\/wp\/v2\/pages\/1425\/revisions"}],"predecessor-version":[{"id":1831,"href":"https:\/\/users.utu.fi\/fahfar\/wp-json\/wp\/v2\/pages\/1425\/revisions\/1831"}],"wp:attachment":[{"href":"https:\/\/users.utu.fi\/fahfar\/wp-json\/wp\/v2\/media?parent=1425"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}