{"id":3427,"date":"2025-09-15T03:04:02","date_gmt":"2025-09-15T03:04:02","guid":{"rendered":"https:\/\/172-234-197-23.ip.linodeusercontent.com\/?page_id=3427"},"modified":"2025-09-15T03:04:02","modified_gmt":"2025-09-15T03:04:02","slug":"latent-fusion-for-rf-anomaly-detection","status":"publish","type":"page","link":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/?page_id=3427","title":{"rendered":"Latent Fusion for RF Anomaly Detection"},"content":{"rendered":"\n<div data-wp-interactive=\"core\/file\" class=\"wp-block-file\"><object data-wp-bind--hidden=\"!state.hasPdfPreview\" hidden class=\"wp-block-file__embed\" data=\"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/wp-content\/uploads\/2025\/09\/Latent-Fusion-for-RF-Anomaly-Detection-Benjamin-J-Gilbert-College-of-the-Mainland.pdf\" type=\"application\/pdf\" style=\"width:100%;height:600px\" aria-label=\"Embed of Latent Fusion for RF Anomaly Detection Benjamin J Gilbert College of the Mainland.\"><\/object><a id=\"wp-block-file--media-ea6d2629-8dad-4a04-826b-26ba5ee4afae\" href=\"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/wp-content\/uploads\/2025\/09\/Latent-Fusion-for-RF-Anomaly-Detection-Benjamin-J-Gilbert-College-of-the-Mainland.pdf\">Latent Fusion for RF Anomaly Detection Benjamin J Gilbert College of the Mainland<\/a><a href=\"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/wp-content\/uploads\/2025\/09\/Latent-Fusion-for-RF-Anomaly-Detection-Benjamin-J-Gilbert-College-of-the-Mainland.pdf\" class=\"wp-block-file__button wp-element-button\" download aria-describedby=\"wp-block-file--media-ea6d2629-8dad-4a04-826b-26ba5ee4afae\">Download<\/a><\/div>\n\n\n\n<p class=\"wp-block-paragraph\">We present a single latent aggregator that denoises<br>spectra, reconstructs via ghost imaging, and fuses auxiliary cues<br>(SBI, MWFL). Across SNR regimes it outperforms single-cue<br>baselines and improves calibration.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><a href=\"https:\/\/www.facebook.com\/share\/p\/1b9WEA83m1\/\"><img loading=\"lazy\" decoding=\"async\" width=\"609\" height=\"606\" src=\"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/wp-content\/uploads\/2025\/09\/image-67.png\" alt=\"\" class=\"wp-image-3429\" srcset=\"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/wp-content\/uploads\/2025\/09\/image-67.png 609w, https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/wp-content\/uploads\/2025\/09\/image-67-300x300.png 300w, https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/wp-content\/uploads\/2025\/09\/image-67-150x150.png 150w\" sizes=\"auto, (max-width: 609px) 100vw, 609px\" \/><\/a><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>We present a single latent aggregator that denoisesspectra, reconstructs via ghost imaging, and fuses auxiliary cues(SBI, MWFL). Across SNR regimes it outperforms single-cuebaselines and improves calibration.<\/p>\n","protected":false},"author":2,"featured_media":3429,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"neve_meta_sidebar":"","neve_meta_container":"","neve_meta_enable_content_width":"","neve_meta_content_width":0,"neve_meta_title_alignment":"","neve_meta_author_avatar":"","neve_post_elements_order":"","neve_meta_disable_header":"","neve_meta_disable_footer":"","neve_meta_disable_title":"","footnotes":""},"class_list":["post-3427","page","type-page","status-publish","has-post-thumbnail","hentry"],"_links":{"self":[{"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=\/wp\/v2\/pages\/3427","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=3427"}],"version-history":[{"count":0,"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=\/wp\/v2\/pages\/3427\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=\/wp\/v2\/media\/3429"}],"wp:attachment":[{"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=3427"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}