[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-144388-105":59,"doc-detail-144388-en":131},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":124,"head_meta":126,"extra_data":128,"updated_unix":130},105,"en","artificial-intelligence-and-machine-learning-session-technical-paper-session","Artificial Intelligence and Machine Learning Session - Technical Paper Session","","The document presents a technical paper session schedule focused on Artificial Intelligence and Machine Learning. It lists multiple research contributions across subtopics such as reinforcement learning performance inconsistency, transformer-based solar power prediction, deep learning 3D object detection benchmarking on NVIDIA Jetson, and cyber-attack behavior forecasting. Additional entries cover machine learning for diabetes prediction, Covid-19 classification with data imbalance analysis, robotic manipulation via reinforcement learning, neural signal recovery in interference environments, and graph neural networks for scene change detection, classification, and vision-driven tasks.",{"@graph":69,"@context":123},[70,84,106],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/artificial-intelligence-and-machine-learning-session-technical-paper-session/144388/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/artificial-intelligence-and-machine-learning-session-technical-paper-session/144388.png","ImageObject",300,407,{"name":92,"@type":93},"Quinn","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-17","2026-08-25",true,{"@type":102,"interactionType":103,"userInteractionCount":105},"InteractionCounter",{"@type":104},"ViewAction",11,{"@type":107,"mainEntity":108},"FAQPage",[109,115,119],{"name":110,"@type":111,"acceptedAnswer":112},"What topics are covered in the Artificial Intelligence and Machine Learning sessions?","Question",{"text":113,"@type":114},"The session includes topics such as reinforcement learning, transformer-based prediction, deep learning object detection, cybersecurity forecasting, and multiple applications in vision and healthcare.","Answer",{"name":116,"@type":111,"acceptedAnswer":117},"How does the session organize the listed papers?",{"text":118,"@type":114},"Each entry is organized by session group (e.g., Artificial Intelligence and Machine Learning I/II/Ⅲ) and includes a paper number and paper title.",{"name":120,"@type":111,"acceptedAnswer":121},"What kinds of research applications appear in the schedule?",{"text":122,"@type":114},"The schedule includes applications like solar power generation forecasting, diabetes prediction, Covid-19 dataset classification, robotic manipulation, interference prediction and resource allocation for URLLC, and scene change detection using graph neural networks.","https://schema.org",{"og:url":83,"og:type":125,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":127,"canonical":83},"index,follow",{"doc_id":129,"site_id":62},144388,1787701047,{"code":4,"msg":5,"data":132},{"doc_id":129,"user_id":133,"nickname":92,"user_avatar":134,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":135,"file_id":136,"file_url":137,"file_type":138,"file_size":139,"view_count":105,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":140,"language":141,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":142,"faqs":143,"seo_title":144,"seo_description":67,"update_tm":130,"read_time":145},962075114765,"https://ap-avatar.wpscdn.com/davatar_a8503ba1806abce46bf441b54a3ca4cd","| Session\u003Cbr>NO. | Session Name | Paper No. | Title | Authors with affiliation and country |\n| --- | --- | --- | --- | --- |\n| 1A | Artificial Intelligence and Machine Learning Ⅰ | 1570740078 | A Case Study: Characterization of\u003Cbr>Performance Inconsistency Reinforcement Learning on Bird Game\u003Cbr>for Flappy | Aidar Shakerimov, Dmitriy Li and Jurn-Gyu Park (Nazarbayev University, Kazakhstan) |\n| 1A | Artificial Intelligence and Machine Learning Ⅰ | 1570746086 | Transformer based prediction method for solar power generation data | Nacwoo Kim, HyunYong Lee, Jungi Lee and Byung Tak Lee (ETRI, Korea (South)) |\n| 1A | Artificial Intelligence and Machine Learning Ⅰ | 1570748537 | Benchmark Analysis of Deep Learning-based 3D Object Detectorson NVIDIA Jetson Platforms | Minjae Choe (University of Illinois at Urbana-Champaign (UIUC), USA); Sukjun Lee (Korea Electronics Technology Institute (KETI), Korea (South)); Nak-Myoung Sung (Korea Electronics Technology Institute, Korea (South)); Sungwook Jung and Chungjae Choe (Korea Electronics Technology Institute (KETI), Korea (South)) |\n| 1A | Artificial Intelligence and Machine Learning Ⅰ | 1570749724 | Performance evaluation method of cyber attack behaviour forecasting based on mitigation | Changhee Choi (Agency For Defense Development, Korea (South)); SungUk Shin (Agency for Defense Development, Korea (South)); Chanho Shin (Agency For Defense Development, Korea (South)) |\n| 1A | Artificial Intelligence and Machine Learning Ⅰ | 1570751100 | Machine Learning for Diabetes Prediction | Usman Ahmed and Chunxiao Li (Yangzhou University, China) |\n| 1A | Artificial Intelligence and Machine Learning Ⅰ | 1570754616 | A Comprehensive Data Imbalance Analysis in Covid-19 Classification dataset | Zineb Tissir (Gachon University\u003Cbr>& Communications Technology\u003Cbr>(IITP), Korea (South))\u003Cbr>& Institute of Information\u003Cbr>Planning & Evaluation |\n| 1B | Artificial Intelligence and Machine Learning Ⅱ | 1570737634 | Reward Shaping to Learn Natural Object Manipulation With an Anthropomorphic Robotic Hand and Hand Pose Priors via On-Policy Reinforcement Learning | Patricio Rivera (Kyung Hee University, Korea (South)); Jiheon Oh (Kyung Hee University, USA); Edwin Valarezo, Gahyeon Ryu, Hwanseok Jung and Jin Hyunk Lee (Kyung Hee University, Korea (South)); Jin Gyun Jeong (Kyung Hee University, USA); Tae-Seong Kim (Kyung Hee University, Korea (South)) |\n| 1B | Artificial Intelligence and Machine Learning Ⅱ | 1570740636 | A Floyd-Warshall-based Reoptimization of Q Matrix on the Single DVRPPD with On-demand Cancellations | Jasper Kyle Catapang (University of Birmingham, United Kingdom (Great Britain)); Geoffrey A. Solano (University of the Philippines Manila, Philippines) |\n| 1B | Artificial Intelligence and Machine Learning Ⅱ | 1570740698 | Signal Recovery Technique Using Recurrent Neural Network in Interference Environment | Haesik Kim (VTT Technical Research Centre of Finland, Finland) |\n| 1B | Artificial Intelligence and Machine Learning Ⅱ | 1570748959 | A Nonlinear Autoregressive Neural Network for Interference Prediction and Resource Allocation in URLLC Scenarios | Christian Padilla, Ramin Hashemi, Nurul Huda Mahmood and Matti Latva-aho (University of Oulu, Finland) |\n| 1B | Artificial Intelligence and Machine Learning Ⅱ | 1570750107 | Graph Neural Network based Scene\u003Cbr>Change Detection Using Embedding with Hybrid Loss\u003Cbr>Scene Graph Classification | Soyeon Kim and Kyungno Joo (KAIST, Korea (South)); Chan-Hyun Youn (Korea Advanced Institute of Science and Technology, Korea (South)) |\n\n\n| Session\u003Cbr>NO. | Session Name | Paper No. | Title | Authors with affiliation and country |\n| --- | --- | --- | --- | --- |\n| 1B | Artificial Intelligence and Machine Learning Ⅱ | 1570754688 | HEp-2 Cell Classification Using an Ensemble of Convolutional Neural Networks | Payam Hosseinzadeh Kasani (Kangwon & Kangwon National University Hospital, Sara Hosseinzadeh Kasani (University of Canada); Han Wool Kim (Seoul National\u003Cbr>National","cbCairaxkFdRU2Wl","https://ap.wps.com/l/cbCairaxkFdRU2Wl","pdf",352913,46,"English","# Session NO. and Session Name\n## Artificial Intelligence and Machine Learning I\n## Artificial Intelligence and Machine Learning II\n## Artificial Intelligence and Machine Learning Ⅲ","[{\"question\":\"What topics are covered in the Artificial Intelligence and Machine Learning sessions?\",\"answer\":\"The session includes topics such as reinforcement learning, transformer-based prediction, deep learning object detection, cybersecurity forecasting, and multiple applications in vision and healthcare.\"},{\"question\":\"How does the session organize the listed papers?\",\"answer\":\"Each entry is organized by session group (e.g., Artificial Intelligence and Machine Learning I/II/Ⅲ) and includes a paper number and paper title.\"},{\"question\":\"What kinds of research applications appear in the schedule?\",\"answer\":\"The schedule includes applications like solar power generation forecasting, diabetes prediction, Covid-19 dataset classification, robotic manipulation, interference prediction and resource allocation for URLLC, and scene change detection using graph neural networks.\"}]","Artificial Intelligence and Machine Learning Session - Technical Paper Session | PDF",116]