{"id":38118,"date":"2024-05-11T22:28:44","date_gmt":"2024-05-11T19:28:44","guid":{"rendered":"https:\/\/repository.qu.edu.iq\/?p=38118"},"modified":"2025-09-13T13:58:36","modified_gmt":"2025-09-13T10:58:36","slug":"%d8%a7-%d9%85-%d9%85%d8%ad%d9%85%d8%af-%d8%ad%d9%85%d8%b2%d8%a9-%d8%b9%d8%a8%d8%af","status":"publish","type":"post","link":"https:\/\/repository.qu.edu.iq\/?p=38118","title":{"rendered":"\u0627.\u0645.\u0645\u062d\u0645\u062f \u062d\u0645\u0632\u0629 \u0639\u0628\u062f"},"content":{"rendered":"\r\n<p class=\"wp-block-paragraph\" dir=\"ltr\">1-<a href=\"https:\/\/repository.qu.edu.iq\/wp-content\/uploads\/sites\/31\/2024\/05\/Hilbert_Convex_Similarity_for_Highly_Secure_Random_Distribution.pdf\">Hilbert Convex Similarity for Highly Secure Random Distribution of Patient Privacy Steganography<\/a><\/p>\r\n<p dir=\"ltr\"><a href=\"https:\/\/www.nature.com\/articles\/s41598-024-61444-1\">2- An effective ensemble learning approach for classification of glioma grades based on novel MRI features<\/a><\/p>\r\n<p dir=\"ltr\"><a href=\"https:\/\/pdf.sciencedirectassets.com\/320039\/1-s2.0-S2590005625X00035\/1-s2.0-S2590005625001213\/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjEMv%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJHMEUCIQDX9jfEHu7NYDBnyCUo8y4rFo4oNOr8W9EYjdghf03pXwIgY3yzKkrBv38Q%2BjN6X%2BW0MY5Zctux%2BGZB7%2FHiDqJI%2BDwqswUIQxAFGgwwNTkwMDM1NDY4NjUiDFoUVWM3I6uEg55HTyqQBaS%2BGL6cDCZBtqxYg3HjTwjgvcoGRWYYycO0WBXb6BqTxbVdU43vw%2BXUwLYbpAOy2YosvsTWs9RQuN0C9NGN3PYtDVYpdQp885nLVnjkCP7w3WBDZUOxubeD6RgsVPn1WRRAEwBlIX6Y3vojvLlUFLEuolU6%2FTMpXgcAtNsePu6W7csKOlLl76EWN%2BIBQzPcI6BVFE72M6%2B6fF0gKkqqoBx81ItE%2BhPXjXPDgk2wDhnR6EgLXiVwgfmzC19QEvfaZq5Ovn1tGd3UPgxgf885RRGmiMVge59qqwCUohkpSW%2B0EjCUS8t4bmsb22EaNjJ%2F76c56bXczw43C66vqht83M4u6sIG1rBrOCqhEO3tBY3vxul1Rsvf4tovPXW%2BnidFv69lv8Qh9wcJe2xryrXq1FREXQdZogGJsZ6o9uF7Nza1Wm%2FoLECb1CjqkEMcM6xi5EQkuiEY2RGU5lKcqzpguja3E4X8FzYHXbXWb5Gji10GL4EgVR0ek%2Be%2BXbEb%2Bw6p6b3SFEJjBGKOArwdw1385cXLDbB9j3dBtTCQjSfaPAHoDaOoFhSIQZ14iBAv56nAEbBtrcy7DkIpLLGHYSheoK%2B45WEhTDIcZleo3hcO12Yu6Tp4Jmnhst8IEdXrkFNBnu7t%2BbBjk6wdMukgREwbrhGF79agB9tssWpGxzrJOcgmWQfDjooYKyW6C0ujtv1L2gddyLtGrRH%2Fs2tokizhDelaKV%2F%2FHEK2N%2BZ61h71DBG5GQ%2FrF4GZn410izh6YdXE1mInKWvfbx6Qv15dUjKQlnmtA2Tya18eaJLLJ0IhN1o2XHwNSo%2BCos8LnhZhLgPNXyuZPWMtP2foEHYXDvE60Biv%2BAxRlKSvdOPQX6viTEqRML%2BGlcYGOrEBrcbU4wv%2BBkOE%2FI5pWlG8efBFGmwO6d7VIEl272ol1F%2FSAv6UkRgilSuun5gDJCz0oIdI5abejuOFCcuIw7IqdmwS9O7YrQBA5EzkNeadbeg%2Bx3MlwhsvzoOL5Qq2v32dfBDa0%2F6U%2BD280remOVw7LCwoLYyH4Js21UmH3r6mS86lt088ZwF3XKYwVGOWGrDh5oS6vSSrJX%2FB8hWzCIHm3OVFXehgOBLbN9fkMNE23rgA&amp;X-Amz-Algorithm=AWS4-HMAC-SHA256&amp;X-Amz-Date=20250913T104737Z&amp;X-Amz-SignedHeaders=host&amp;X-Amz-Expires=300&amp;X-Amz-Credential=ASIAQ3PHCVTYYIXOLMS5%2F20250913%2Fus-east-1%2Fs3%2Faws4_request&amp;X-Amz-Signature=219e816199ff94db5cc8081cbc626904b425090a7e4585c961012cd6410ce37c&amp;hash=0b67d921cb42514230e81c8907c6ec618b9507c42848432744a73db2b2be37f7&amp;host=68042c943591013ac2b2430a89b270f6af2c76d8dfd086a07176afe7c76c2c61&amp;pii=S2590005625001213&amp;tid=spdf-8b0d2789-dacd-4ced-a770-1d7ef17a60d9&amp;sid=726ace1a9030654799294e2180c34904a1bdgxrqb&amp;type=client&amp;tsoh=d3d3LnNjaWVuY2VkaXJlY3QuY29t&amp;rh=d3d3LnNjaWVuY2VkaXJlY3QuY29t&amp;ua=13135d5600545e5f5657&amp;rr=97e711485dfbb69b&amp;cc=iq\">3- Spoof speech classification using deep speaker embeddings and machine learning models<\/a><\/p>\r\n<p dir=\"ltr\"><a href=\"https:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?tp=&amp;arnumber=11097280\">4- Effect of Noises and GSM Codings on Pre-Trained Speaker Embedding Models in Forensic Voice Comparison<\/a><\/p>\r\n<p dir=\"ltr\"><a href=\"https:\/\/acta.bibl.u-szeged.hu\/78411\/\">5- Effects of emotional speech on forensic voice comparison using deep speaker embeddings<\/a><\/p>\r\n<p dir=\"ltr\">\u00a0<\/p>\r\n","protected":false},"excerpt":{"rendered":"<p>1-Hilbert Convex Similarity for Highly Secure Random Distribution of Patient Privacy Steganography 2- An effective ensemble learning approach for classification &#8230; <a class=\"cz_readmore\" href=\"https:\/\/repository.qu.edu.iq\/?p=38118\"><i class=\"fa fa-sign-out\" aria-hidden=\"true\"><\/i><span>\u0642\u0631\u0627\u0621\u0629 \u0627\u0644\u0645\u0632\u064a\u062f<\/span><\/a><\/p>\n","protected":false},"author":72,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[19],"tags":[],"class_list":["post-38118","post","type-post","status-publish","format-standard","hentry","category-19"],"_links":{"self":[{"href":"https:\/\/repository.qu.edu.iq\/index.php?rest_route=\/wp\/v2\/posts\/38118","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/repository.qu.edu.iq\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/repository.qu.edu.iq\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/repository.qu.edu.iq\/index.php?rest_route=\/wp\/v2\/users\/72"}],"replies":[{"embeddable":true,"href":"https:\/\/repository.qu.edu.iq\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=38118"}],"version-history":[{"count":4,"href":"https:\/\/repository.qu.edu.iq\/index.php?rest_route=\/wp\/v2\/posts\/38118\/revisions"}],"predecessor-version":[{"id":40523,"href":"https:\/\/repository.qu.edu.iq\/index.php?rest_route=\/wp\/v2\/posts\/38118\/revisions\/40523"}],"wp:attachment":[{"href":"https:\/\/repository.qu.edu.iq\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=38118"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/repository.qu.edu.iq\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=38118"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/repository.qu.edu.iq\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=38118"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}