{ "id": 244219, "date": "2023-02-24T15:51:22", "date_gmt": "2023-02-24T08:51:22", "guid": { "rendered": "https:\/\/mte.usk.ac.id\/?p=244219" }, "modified": "2023-08-23T17:19:16", "modified_gmt": "2023-08-23T10:19:16", "slug": "__trashed", "status": "publish", "type": "post", "link": "https:\/\/mte.usk.ac.id\/en\/?p=244219", "title": { "rendered": "Student’s Research on Obesity recognition is presented at IEEE Conference" }, "content": { "rendered": "[et_pb_section fb_built=”1″ _builder_version=”4.16″ global_colors_info=”{}”][et_pb_row _builder_version=”4.16″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.20.0″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]

On 20-23 February 2023, one of Master of Electrical Engineering<\/span> (MTE) students, Hendrik Leo, attended the 5th International Conference on Artificial Intelligence in Information and Communication (ICAIIC 2023) in Bali, Indonesia. This Conference was organized by the Korean Institute of Communications and Information Sciences (KICS) and technically co-sponsored by IEEE Communications Society (ComsoC) and IEICE-CS). Hendrik presented his research in an oral session: Medical Diagnosis and E-Health session titled: “A Mobile Application for Obesity Early Diagnosis Using CNN-Based Thermogram Classification”. In his presentation, Hendrik introduced a mobile application that can predict the individual body conditions between obesity and normal by integrating thermal imaging and deep learning Convolutional Neural Network methods.<\/p>[\/et_pb_text][dsm_masonry_gallery gallery_ids=”244222,244227,244226,244224,244225,244223,244221,244220″ use_lightbox=”on” _builder_version=”4.20.0″ _module_preset=”default” global_colors_info=”{}”][\/dsm_masonry_gallery][\/et_pb_column][\/et_pb_row][\/et_pb_section]", "protected": false }, "excerpt": { "rendered": "

On 20-23 February 2023, one of Master of Electrical Engineering (MTE) students, Hendrik Leo, attended the 5th International Conference on Artificial Intelligence in Information and Communication (ICAIIC 2023) in Bali, Indonesia. This Conference was organized by the Korean Institute of Communications and Information Sciences (KICS) and technically co-sponsored by IEEE Communications Society (ComsoC) and IEICE-CS). […]<\/p>", "protected": false }, "author": 2, "featured_media": 244974, "comment_status": "closed", "ping_status": "closed", "sticky": false, "template": "", "format": "standard", "meta": { "_et_pb_use_builder": "on", "_et_pb_old_content": "\n

On 20-23 February 2023, one of Magister Teknik Elektro (MTE) students, Hendrik Leo, attended the 5th International Conference on Artificial Intelligence in Information and Communication (ICAIIC 2023) in Bali, Indonesia. This Conference was organized by the Korean Institute of Communications and Information Sciences (KICS) and technically co-sponsored by IEEE Communications Society (ComsoC) and IEICE-CS). Hendrik presented his research in an oral session: Medical Diagnosis and E-Health session titled: \"A Mobile Application for Obesity Early Diagnosis Using CNN-Based Thermogram Classification\". In his presentation, Hendrik introduced a mobile application that can predict the individual body conditions between obesity and normal by integrating thermal imaging and deep learning Convolutional Neural Network methods.<\/p>\n\n\n\n

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