{"id":1232,"date":"2026-01-21T12:00:36","date_gmt":"2026-01-21T12:00:36","guid":{"rendered":"http:\/\/hria.utcluj.ro\/?page_id=1232"},"modified":"2026-05-12T09:55:50","modified_gmt":"2026-05-12T09:55:50","slug":"rezultate","status":"publish","type":"page","link":"https:\/\/hria.utcluj.ro\/en\/rezultate\/","title":{"rendered":"Results"},"content":{"rendered":"<div class=\"wp-block-query is-layout-flow wp-block-query-is-layout-flow\"><ul class=\"wp-block-post-template is-layout-flow wp-block-post-template-is-layout-flow\"><li class=\"wp-block-post post-1835 post type-post status-publish format-standard hentry category-rezultate\">\n<h2 class=\"wp-block-post-title\"><a href=\"https:\/\/hria.utcluj.ro\/en\/modele-transformer-si-agentic-digital-twins-pentru-prognoza-si-managementul-energiei-distribuite\/\" target=\"_self\" >Modele Transformer \u0219i Agentic Digital Twins pentru prognoza \u0219i managementul energiei distribuite<\/a><\/h2>\n\n\n\n<div class=\"wp-block-post-excerpt\"><p class=\"wp-block-post-excerpt__excerpt\">Cercet\u0103rile vizeaz\u0103 g\u0103sirea de solu\u021bii bazate pe AI \u0219i concepte de Digital Twin pentru a rezolva problemele complexe de prognoz\u0103 a re\u021belelor de energie distribuite (Smart Grids). Provoc\u0103rile prognozei \u0219i arhitectura Digital Twin Arhitectura representation-augmented Temporal Fusion Transformer (TFT) Aceast\u0103 abordare hibrid\u0103 \u00eenva\u021b\u0103 reprezent\u0103ri temporale stabilizate pe care le condi\u021bioneaz\u0103 cu informa\u021bii structurale, oferind o&hellip; <\/p><\/div>\n\n\n<hr class=\"wp-block-separator has-css-opacity\"\/>\n\n<\/li><li class=\"wp-block-post post-1822 post type-post status-publish format-standard hentry category-rezultate\">\n<h2 class=\"wp-block-post-title\"><a href=\"https:\/\/hria.utcluj.ro\/en\/sisteme-avansate-de-robotica-medicala-localizarea-athena-estimarea-fortei-sensorless-si-navigatie-dentara-markerless\/\" target=\"_self\" >Sisteme avansate de robotic\u0103 medical\u0103: localizarea ATHENA, estimarea for\u021bei sensorless \u0219i naviga\u021bie dentar\u0103 markerless<\/a><\/h2>\n\n\n\n<div class=\"wp-block-post-excerpt\"><p class=\"wp-block-post-excerpt__excerpt\">Cercet\u0103rile vizeaz\u0103 g\u0103sirea de solu\u021bii inovatoare pentru chirurgia minim invaziv\u0103 \u0219i implantologia robotizat\u0103, elimin\u00e2nd necesitatea senzorilor hardware complec\u0219i prin utilizarea tehnicilor avansate de Computer Vision. Localizarea \u0219i pozi\u021bionarea automat\u0103 a robotului ATHENA Estimarea for\u021bei \u201esensorless\u201d \u00een chirurgia minim invaziv\u0103 Percep\u021bie \u201emarkerless\u201d pentru naviga\u021bia \u00een implantologia dentar\u0103 <\/p><\/div>\n\n\n<hr class=\"wp-block-separator has-css-opacity\"\/>\n\n<\/li><li class=\"wp-block-post post-1815 post type-post status-publish format-standard hentry category-rezultate\">\n<h2 class=\"wp-block-post-title\"><a href=\"https:\/\/hria.utcluj.ro\/en\/deep-learning-in-imagistica-medicala-segmentare-multimodala-si-diagnostic-asistat\/\" target=\"_self\" >Deep learning \u00een imagistica medical\u0103: segmentare multimodal\u0103 \u0219i diagnostic asistat<\/a><\/h2>\n\n\n\n<div class=\"wp-block-post-excerpt\"><p class=\"wp-block-post-excerpt__excerpt\">Cercet\u0103rile recente din cadrul HRIA, realizate \u00een parteneriat cu universit\u0103\u021bi de medicin\u0103, vizeaz\u0103 \u00eembun\u0103t\u0103\u021birea preciziei diagnosticului prin arhitecturi neurale optimizate pentru diverse tipuri de scan\u0103ri (CT, RMN, X-ray, OCT). Segmentarea Re\u021belelor Vasculare \u0219i Analiza Radiografiilor Sunt introduse \u00eembun\u0103t\u0103\u021biri structurale modelelor standard pentru a cre\u0219te sensibilitatea \u00een detectarea structurilor anatomice fine: Angio-OCT (Re\u021bele Retiniene): S-a utilizat&hellip; <\/p><\/div>\n\n\n<hr class=\"wp-block-separator has-css-opacity\"\/>\n\n<\/li><li class=\"wp-block-post post-1811 post type-post status-publish format-standard hentry category-rezultate\">\n<h2 class=\"wp-block-post-title\"><a href=\"https:\/\/hria.utcluj.ro\/en\/clasificarea-si-monitorizarea-solului-din-imagini-satelitare\/\" target=\"_self\" >Clasificarea \u0219i monitorizarea solului din imagini satelitare<\/a><\/h2>\n\n\n\n<div class=\"wp-block-post-excerpt\"><p class=\"wp-block-post-excerpt__excerpt\">Procesarea imaginilor satelitare cu ajutorul inteligen\u021bei artificiale ofer\u0103 noi oportunit\u0103\u021bi pentru analiza \u0219i monitorizarea mediului, \u00een special \u00een domeniul agricol. Acest demers se concentreaz\u0103 pe dezvoltarea unor metode automate pentru clasificarea solului \u0219i extragerea de informa\u021bii relevante din date satelitare. Crearea \u0219i extinderea seturilor de date Un prim pas esen\u021bial \u00eel reprezint\u0103 construirea \u0219i \u00eembun\u0103t\u0103\u021birea&hellip; <\/p><\/div>\n\n\n<hr class=\"wp-block-separator has-css-opacity\"\/>\n\n<\/li><li class=\"wp-block-post post-1798 post type-post status-publish format-standard hentry category-rezultate\">\n<h2 class=\"wp-block-post-title\"><a href=\"https:\/\/hria.utcluj.ro\/en\/detectarea-obiectelor-spatiale-cu-inteligenta-artificiala\/\" target=\"_self\" >Detectarea obiectelor spa\u021biale folosind inteligen\u021b\u0103 artificial\u0103<\/a><\/h2>\n\n\n\n<div class=\"wp-block-post-excerpt\"><p class=\"wp-block-post-excerpt__excerpt\">Monitorizarea spa\u021biului cosmic devine din ce \u00een ce mai important\u0103 \u00een contextul cre\u0219terii num\u0103rului de sateli\u021bi \u0219i al riscurilor asociate cu resturile spa\u021biale. Este propus\u0103 o abordare bazat\u0103 pe inteligen\u021b\u0103 artificial\u0103 pentru detectarea \u0219i analiza obiectelor spa\u021biale utiliz\u00e2nd instrumente optice. Scopul principal al acestui demers este dezvoltarea unor metode eficiente pentru: Sistemul este conceput pentru&hellip; <\/p><\/div>\n\n\n<hr class=\"wp-block-separator has-css-opacity\"\/>\n\n<\/li><li class=\"wp-block-post post-1790 post type-post status-publish format-standard hentry category-rezultate\">\n<h2 class=\"wp-block-post-title\"><a href=\"https:\/\/hria.utcluj.ro\/en\/agrobots-inteligenta-artificiala-pentru-monitorizarea-culturilor-agricole-cu-roboti-mobili\/\" target=\"_self\" >AgroBots: Inteligen\u021b\u0103 Artificial\u0103 pentru monitorizarea culturilor agricole cu robo\u021bi mobili<\/a><\/h2>\n\n\n\n<div class=\"wp-block-post-excerpt\"><p class=\"wp-block-post-excerpt__excerpt\">Inteligen\u021ba artificial\u0103 este utlizat\u0103 \u00een monitorizarea mediului agricol, prin integrarea robo\u021bilor mobili \u0219i a imaginilor aeriene. Scopul principal este dezvoltarea unor solu\u021bii automate pentru analiza culturilor, cu accent pe detec\u021bia timpurie a bolilor \u0219i \u00een\u021belegerea structurii plantelor. Agricultura modern\u0103 necesit\u0103 metode eficiente \u0219i scalabile pentru monitorizarea s\u0103n\u0103t\u0103\u021bii culturilor. Utilizarea dronelor \u0219i a robo\u021bilor mobili permite&hellip; <\/p><\/div>\n\n\n<hr class=\"wp-block-separator has-css-opacity\"\/>\n\n<\/li><li class=\"wp-block-post post-1778 post type-post status-publish format-standard hentry category-rezultate\">\n<h2 class=\"wp-block-post-title\"><a href=\"https:\/\/hria.utcluj.ro\/en\/perceptia-si-intelegerea-scenelor-3d-din-imagini-aeriene\/\" target=\"_self\" >Percep\u021bia \u0219i \u00een\u021belegerea scenelor 3D din imagini aeriene<\/a><\/h2>\n\n\n\n<div class=\"wp-block-post-excerpt\"><p class=\"wp-block-post-excerpt__excerpt\">Cercet\u0103rile desf\u0103\u0219urate vizeaz\u0103 crearea unui cadru unitar pentru interpretarea datelor vizuale captate de platforme aeriene (UAV), trec\u00e2nd de la procesarea pixelilor la reprezent\u0103ri semantice \u0219i structurale complexe. Arhitectura de percep\u021bie pe trei niveluri Sistemul este organizat ierarhic pentru a transforma datele brute \u00een decizii fundamentate: Dataset-ul sintetic ClaraVid Pentru a antrena modele capabile s\u0103 gestioneze&hellip; <\/p><\/div>\n\n\n<hr class=\"wp-block-separator has-css-opacity\"\/>\n\n<\/li><li class=\"wp-block-post post-1776 post type-post status-publish format-standard hentry category-rezultate\">\n<h2 class=\"wp-block-post-title\"><a href=\"https:\/\/hria.utcluj.ro\/en\/nlp-si-speech-processing-de-la-grafuri-de-cunoastere-la-sinteza-vocala-si-securitatea-embedding-urilor\/\" target=\"_self\" >NLP \u0219i Speech Processing: de la grafuri de cunoa\u0219tere la sintez\u0103 vocal\u0103 \u0219i securitatea embedding-urilor<\/a><\/h2>\n\n\n\n<div class=\"wp-block-post-excerpt\"><p class=\"wp-block-post-excerpt__excerpt\">Advances in Natural Language and Speech Processing Cercet\u0103rile recente din cadrul Hub-ului Rom\u00e2n de IA vizeaz\u0103 eficientizarea sistemelor de recomandare, securitatea modelelor de limbaj \u0219i avansul tehnologiilor de sintez\u0103 vocal\u0103 pentru limba rom\u00e2n\u0103. Sisteme de Recomandare bazate pe Knowledge Graphs (TRL 3) Este propus un sistem de recomandare a re\u021betelor culinare, utiliz\u00e2nd o arhitectur\u0103 hibrid\u0103&hellip; <\/p><\/div>\n\n\n<hr class=\"wp-block-separator has-css-opacity\"\/>\n\n<\/li><li class=\"wp-block-post post-1733 post type-post status-publish format-standard hentry category-rezultate\">\n<h2 class=\"wp-block-post-title\"><a href=\"https:\/\/hria.utcluj.ro\/en\/modele-multimodale-neuro-simbolice-image-captioning-si-kblam-in-domeniul-medical\/\" target=\"_self\" >Modele Multimodale Neuro-Simbolice: Image Captioning \u0219i KBLaM \u00een Domeniul Medical<\/a><\/h2>\n\n\n\n<div class=\"wp-block-post-excerpt\"><p class=\"wp-block-post-excerpt__excerpt\">Medical Image Captioning: Arhitecturi ImageHRM \u0219i ImageTRM Cercetarea se concentreaz\u0103 pe dezvoltarea unor modele avansate pentru generarea de descrieri precise ale imaginilor medicale, utiliz\u00e2nd structuri ierarhice \u0219i recursive. ImageHRM (Hierarchical Reasoning Model) ImageTRM (Tiny Recursive Model) Knowledge Base Augmented Language Models (KBLaM) Transferabile Este explorat\u0103 portabilitatea modelelor de limbaj augmentate cu baze de cuno\u0219tin\u021be \u00eentre&hellip; <\/p><\/div>\n\n\n<hr class=\"wp-block-separator has-css-opacity\"\/>\n\n<\/li><li class=\"wp-block-post post-1726 post type-post status-publish format-standard hentry category-rezultate\">\n<h2 class=\"wp-block-post-title\"><a href=\"https:\/\/hria.utcluj.ro\/en\/arhitecturi-agentice-si-modele-de-deep-learning-in-cadrul-romanian-ai-hospital\/\" target=\"_self\" >Romanian AI Hospital &#8211; arhitecturi agentice \u0219i modele de deep learning<\/a><\/h2>\n\n\n\n<div class=\"wp-block-post-excerpt\"><p class=\"wp-block-post-excerpt__excerpt\">Agentic AI: Video Segmentation for Polyp Detection (Gastro Clinic) Implementarea vizeaz\u0103 optimizarea detec\u021biei polipilor prin segmentare video \u00een timp real, utiliz\u00e2nd un agent colonoscopic bazat pe arhitecturi SOTA (State-of-the-Art). Arhitectur\u0103 \u0219i Metodologie Performan\u021b\u0103 \u0219i Validare Automatic Invoice Management &amp; Resident Support System Sistemul integreaz\u0103 procesarea documentelor administrative \u0219i suportul academic prin metode neuro-simbolice \u0219i ontologii.&hellip; <\/p><\/div>\n\n\n<hr class=\"wp-block-separator has-css-opacity\"\/>\n\n<\/li><\/ul><\/div>","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":0,"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":"on","_themeisle_gutenberg_block_has_review":false,"footnotes":""},"class_list":["post-1232","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/hria.utcluj.ro\/en\/wp-json\/wp\/v2\/pages\/1232","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/hria.utcluj.ro\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/hria.utcluj.ro\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/hria.utcluj.ro\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/hria.utcluj.ro\/en\/wp-json\/wp\/v2\/comments?post=1232"}],"version-history":[{"count":2,"href":"https:\/\/hria.utcluj.ro\/en\/wp-json\/wp\/v2\/pages\/1232\/revisions"}],"predecessor-version":[{"id":1746,"href":"https:\/\/hria.utcluj.ro\/en\/wp-json\/wp\/v2\/pages\/1232\/revisions\/1746"}],"wp:attachment":[{"href":"https:\/\/hria.utcluj.ro\/en\/wp-json\/wp\/v2\/media?parent=1232"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}