{"id":3450,"date":"2026-06-16T16:08:48","date_gmt":"2026-06-16T14:08:48","guid":{"rendered":"https:\/\/eannconf.org\/2026\/user-videos\/"},"modified":"2026-06-16T16:08:48","modified_gmt":"2026-06-16T14:08:48","slug":"user-videos","status":"publish","type":"page","link":"https:\/\/eannconf.org\/2026\/user-videos\/","title":{"rendered":"User Videos"},"content":{"rendered":"\r\n
\r\n \r\n \r\n
\r\n \r\n
\r\n
\n \"AI-Driven\n \n <\/svg><\/a> \n
\n
\n AI-Driven Early Detection of Biological Threats Using Public Health Data<\/a> <\/div>\n \n \n \n \n \n \n\n \n \n <\/div> \n<\/div> \r\n <\/div> \r\n \r\n
\r\n
\n \"Chaotic\n \n <\/svg><\/a> \n
\n
\n Chaotic Explorers: Boosting Jaya\u2019s Diversity to Escape Premature Convergence in Multimodal Optimization<\/a> <\/div>\n \n \n \n \n \n \n\n \n \n <\/div> \n<\/div> \r\n <\/div> \r\n \r\n
\r\n
\n \"Comparative\n \n <\/svg><\/a> \n
\n
\n Comparative Evaluation of Recommendation Bagging Algorithms: Combining Collaborative Filtering and Deep Learning<\/a> <\/div>\n \n \n \n \n \n \n\n \n \n <\/div> \n<\/div> \r\n <\/div> \r\n \r\n
\r\n
\n \"Context-Aware\n \n <\/svg><\/a> \n
\n
\n Context-Aware Embeddings of System Events via LLMs Towards Fine-Grained Threat Detection<\/a> <\/div>\n \n \n \n \n \n \n\n \n \n <\/div> \n<\/div> \r\n <\/div> \r\n \r\n
\r\n
\n \"Decision-Aware\n \n <\/svg><\/a> \n
\n
\n Decision-Aware and Interpretable Machine Learning for Cardiovascular Risk Screening<\/a> <\/div>\n \n \n \n \n \n \n\n \n \n <\/div> \n<\/div> \r\n <\/div> \r\n \r\n
\r\n
\n \"Deep\n \n <\/svg><\/a> \n
\n
\n Deep Learning-Based Ripeness Detection for Smart Refrigerators<\/a> <\/div>\n \n \n \n \n \n \n\n \n \n <\/div> \n<\/div> \r\n <\/div> \r\n \r\n
\r\n
\n \"Downside\n \n <\/svg><\/a> \n
\n
\n Downside risk assessment: an approach based on neural network Lee-Carter model<\/a> <\/div>\n \n \n \n \n \n \n\n \n \n <\/div> \n<\/div> \r\n <\/div> \r\n \r\n
\r\n
\n \"Generation\n \n <\/svg><\/a> \n
\n
\n Generation of Independent Velocity Spaces through Spatiotemporal Asymmetric Neural Networks<\/a> <\/div>\n \n \n \n \n \n \n\n \n \n <\/div> \n<\/div> \r\n <\/div> \r\n \r\n
\r\n
\n \"HASTE:\n \n <\/svg><\/a> \n
\n
\n HASTE: Enhancing Fraud Detection in Financial Time Series with the novel Ensemble Hierarchical Transformer Framework<\/a> <\/div>\n \n \n \n \n \n \n\n \n \n <\/div> \n<\/div> \r\n <\/div> \r\n \r\n
\r\n
\n \"Health\n \n <\/svg><\/a> \n
\n
\n Health Alert Detection in Outdoor Environments Using Fog Computing, Embedded Machine Learning and Federated Learning with Model Poisoning Mitigation<\/a> <\/div>\n \n \n \n \n \n \n\n \n \n <\/div> \n<\/div> \r\n <\/div> \r\n \r\n
\r\n
\n \"Leveraging\n \n <\/svg><\/a> \n
\n
\n Leveraging AI for Enhanced Breast Cancer Detection: A Focus on Dimensionality Reduction and Imbalanced Learning<\/a> <\/div>\n \n \n \n \n \n \n\n \n \n <\/div> \n<\/div> \r\n <\/div> \r\n \r\n
\r\n
\n \"Logic-Driven\n \n <\/svg><\/a> \n
\n
\n Logic-Driven Cybersecurity: A Novel Framework for System Log Anomaly Detection using Answer Set Programming<\/a> <\/div>\n \n \n \n \n \n \n\n \n \n <\/div> \n<\/div> \r\n <\/div> \r\n <\/div>\r\n \r\n
1<\/span>2<\/a>»<\/a><\/div>
Page 1 of 2<\/div><\/aiovg-pagination><\/div>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"_links":{"self":[{"href":"https:\/\/eannconf.org\/2026\/wp-json\/wp\/v2\/pages\/3450"}],"collection":[{"href":"https:\/\/eannconf.org\/2026\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/eannconf.org\/2026\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/eannconf.org\/2026\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/eannconf.org\/2026\/wp-json\/wp\/v2\/comments?post=3450"}],"version-history":[{"count":0,"href":"https:\/\/eannconf.org\/2026\/wp-json\/wp\/v2\/pages\/3450\/revisions"}],"wp:attachment":[{"href":"https:\/\/eannconf.org\/2026\/wp-json\/wp\/v2\/media?parent=3450"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}