{"id":4235,"date":"2023-03-30T15:54:18","date_gmt":"2023-03-30T12:54:18","guid":{"rendered":"https:\/\/en.sc.uobaghdad.edu.iq\/?p=4235"},"modified":"2023-03-30T15:54:18","modified_gmt":"2023-03-30T12:54:18","slug":"drones-identification-and-classification-using-yolov4-advanced-cnn","status":"publish","type":"post","link":"https:\/\/en.sc.uobaghdad.edu.iq\/?p=4235","title":{"rendered":"Drones identification and classification using YOLOv4 advanced CNN"},"content":{"rendered":"<h3><!--more--><\/h3>\n<h3 style=\"text-align: center;\">As a result of the rapid development of information technology, drone detection systems are very important today, which led to the presence of two sides to this topic, the positive side is the multiple uses of drones, most notably security, geographical matters, and communication, while the negative side of this topic is the exploitation of drones in issues of illegal activities, such as spying, tracking individuals, and terrorist attacks. Therefore, the need to develop systems for detecting drones arose.<\/h3>\n","protected":false},"excerpt":{"rendered":"As a result of the rapid development of information technology, drone detection systems are very important today, which led to","protected":false},"author":82,"featured_media":4236,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_lmt_disableupdate":"","_lmt_disable":"","footnotes":""},"categories":[48,42],"tags":[],"class_list":["post-4235","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-college-news","category-computer-news"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.8 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Drones identification and classification using YOLOv4 advanced CNN - College of Science<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/en.sc.uobaghdad.edu.iq\/?p=4235\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Drones identification and classification using YOLOv4 advanced CNN - 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