{"id":1631,"date":"2025-05-27T17:48:24","date_gmt":"2025-05-27T08:48:24","guid":{"rendered":"https:\/\/www.comm.tcu.ac.jp\/masuda-lab\/?page_id=1631"},"modified":"2025-05-27T17:48:24","modified_gmt":"2025-05-27T08:48:24","slug":"works-2","status":"publish","type":"page","link":"https:\/\/www.comm.tcu.ac.jp\/masuda-lab\/en\/works-2","title":{"rendered":"Reseach"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\">Reserach works<\/h2>\n\n\n\n<h4 class=\"wp-block-heading\">Supervisor&#8217;s works<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/orcid.org\/0000-0002-5633-7249\">ORCID<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/researchmap.jp\/satoshi.masuda\">Researchmap<\/a><\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\">Students&#8217; works<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Conference presentations:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>&#8220;Parallel-processed Hyperparameter Tuning for Higher Accuracy of Malware Detection,&#8221; Gakuto Sangawa, Satoshi Masuda, 2025 10th International Conference on Intelligent Information Technology (ICIIT 2025), February 2025.<\/li>\n\n\n\n<li> &#8220;Enhancing Malware Detection Accuracy through Parallel-processed Hyperparameter Tuning,&#8221; Gakuto Sangawa, Satoshi Masuda, Joint Conference of the 106th Computer Security and the 56th Security Psychology and Trust, July 23, 2024.<\/li>\n\n\n\n<li>&#8220;Evaluation of AlphaCode Source Code Using Cyclomatic Complexity,&#8221; Gakuto Sangawa, Satoshi Masuda, 85th National Convention of the Information Processing Society of Japan, March 4, 2023.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>List of graduation research topics<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Research topics for March 2025 graduates<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Investigation of traffic congestion and collisions during highway merging using a traffic flow simulator.<\/li>\n\n\n\n<li>Improving classification accuracy of Western confectionery images using deep neural networks.<\/li>\n\n\n\n<li>Development of a dog bark classification model and application system using deep neural networks.<\/li>\n\n\n\n<li>Investigation of intersections considering pedestrian movement using a traffic flow simulator.<\/li>\n\n\n\n<li>Enhancing the accuracy of source code generated by large language models through prompt engineering.<\/li>\n\n\n\n<li>Method for distinguishing straight neck using skeletal detection technology focusing on head position.<\/li>\n\n\n\n<li>Creation of an image classification model with data augmentation for mixed-breed dog identification.<\/li>\n\n\n\n<li>Facial image analysis for emotion prediction in remote environments.<\/li>\n\n\n\n<li>Investigation of software for translating multilingual song lyrics into a single language.<\/li>\n\n\n\n<li>Investigation of uncertainty in human estimation in object recognition technology.<\/li>\n\n\n\n<li>Performance evaluation and improvement of neural vocoders using GANs in AI music covers.<\/li>\n\n\n\n<li>Investigation of causes of traffic accidents and congestion using a traffic flow simulator.<\/li>\n\n\n\n<li>Analysis of sign language videos focusing on finger joints using skeletal detection technology.<\/li>\n\n\n\n<li>Construction of a music transformation system using color names with AI music generation.<\/li>\n\n\n\n<li>Improvement of food image classification accuracy and application system development using deep neural networks.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Research topics for March 2024 graduates<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Verification of communication characteristics during network video transmission using NDI.<\/li>\n\n\n\n<li>Investigation of efficient methods for generating voice clones.<\/li>\n\n\n\n<li>Construction of a simple work schedule management system using OSS.<\/li>\n\n\n\n<li>Medical cost prediction and regional difference analysis using machine learning.<\/li>\n\n\n\n<li>Enhancing malware detection accuracy through parallel-processed hyperparameter tuning.<\/li>\n\n\n\n<li>Analysis of source code automatically generated by large language models.<\/li>\n\n\n\n<li>Investigation of individual and group attractiveness using AI-generated facial images.<\/li>\n\n\n\n<li>Form analysis in darts using skeletal detection technology.<\/li>\n\n\n\n<li>Estimation of the number of people in a restaurant using object detection technology for calculating wait times.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Reserach works Supervisor&#8217;s works Students&#8217; works Conference presentations: List of graduation research topics Research topics&hellip;<\/p>\n","protected":false},"author":10,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_lmt_disableupdate":"","_lmt_disable":"","_locale":"en_US","_original_post":"https:\/\/www.comm.tcu.ac.jp\/masuda-lab\/?page_id=1600","footnotes":""},"class_list":["post-1631","page","type-page","status-publish","hentry","en-US"],"_links":{"self":[{"href":"https:\/\/www.comm.tcu.ac.jp\/masuda-lab\/wp-json\/wp\/v2\/pages\/1631","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.comm.tcu.ac.jp\/masuda-lab\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.comm.tcu.ac.jp\/masuda-lab\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.comm.tcu.ac.jp\/masuda-lab\/wp-json\/wp\/v2\/users\/10"}],"replies":[{"embeddable":true,"href":"https:\/\/www.comm.tcu.ac.jp\/masuda-lab\/wp-json\/wp\/v2\/comments?post=1631"}],"version-history":[{"count":1,"href":"https:\/\/www.comm.tcu.ac.jp\/masuda-lab\/wp-json\/wp\/v2\/pages\/1631\/revisions"}],"predecessor-version":[{"id":1633,"href":"https:\/\/www.comm.tcu.ac.jp\/masuda-lab\/wp-json\/wp\/v2\/pages\/1631\/revisions\/1633"}],"wp:attachment":[{"href":"https:\/\/www.comm.tcu.ac.jp\/masuda-lab\/wp-json\/wp\/v2\/media?parent=1631"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}