{"id":894,"date":"2025-12-20T18:45:08","date_gmt":"2025-12-20T18:45:08","guid":{"rendered":"https:\/\/www.smreza.com\/profile\/?p=894"},"modified":"2026-01-23T19:20:31","modified_gmt":"2026-01-23T19:20:31","slug":"new-publication-at-results-in-engineering-journal","status":"publish","type":"post","link":"https:\/\/www.smreza.com\/profile\/news\/publications\/new-publication-at-results-in-engineering-journal\/","title":{"rendered":"New Publication at Results in Engineering Journal"},"content":{"rendered":"

A recent research study by<\/span>\u00a0D3M Lab members<\/strong> has been <\/span>published in the journal Results in Engineering<\/em><\/strong> (Elsevier).<\/span><\/p>\n

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The article, titled: \u201cComparative Analysis of Deep Learning Models for Defect Detection in Additive Manufacturing Using Thermal Imaging,\u201d <\/strong>presents a comprehensive evaluation of multiple deep learning architectures for detecting defects in additive manufacturing processes using thermal imaging data. The study systematically compares model performance and highlights strengths and limitations across approaches, offering practical insights for improving quality control and reliability in advanced manufacturing systems.<\/p>\n

This work reflects the D3M Lab\u2019s continued focus on data-driven modeling, machine learning, and real-world decision-making applications<\/strong>, particularly at the intersection of AI and engineering systems.<\/p>\n

DOI:<\/strong> https:\/\/doi.org\/10.1016\/j.rineng.2025.108359\u00a0<\/a><\/p>\n

The D3M Lab congratulates the authors on this publication and looks forward to building upon this research in future work on intelligent manufacturing and applied AI.<\/p>\n<\/div>\n

\ud83d\udd16 Citation:<\/strong>
Shah, Sapan, Dhruv Suraj, Sayed Mohsin Reza, Md Abdur Rahman Bin Abdus Salam, Ali Ashraf, and Shiekh Fahad Ferdous. “Comparative Analysis of Deep Learning Models for Defect Detection in Additive Manufacturing using Thermal Imaging.”\u00a0Results in Engineering<\/i> (2025): 108359.\u00a0 https:\/\/doi.org\/10.1016\/j.rineng.2025.108359<\/p>\n

\n","protected":false},"excerpt":{"rendered":"

A recent research study by\u00a0D3M Lab members has been published in the journal Results in Engineering (Elsevier). The article, titled: \u201cComparative Analysis of Deep Learning Models for Defect Detection in Additive Manufacturing Using Thermal Imaging,\u201d presents a comprehensive evaluation of multiple deep learning architectures for detecting defects in additive manufacturing processes using thermal imaging data. […]<\/p>\n","protected":false},"author":1,"featured_media":895,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[28,37,29,4,12,60],"tags":[30,5,46],"class_list":["post-894","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-highlights","category-machine-learning","category-news","category-publications","category-p-research","category-thermal-imaging","tag-news","tag-publications","tag-undergraduate-research"],"rttpg_featured_image_url":{"full":["https:\/\/www.smreza.com\/profile\/wp-content\/uploads\/2026\/01\/rie-journal.png",671,341,false],"landscape":["https:\/\/www.smreza.com\/profile\/wp-content\/uploads\/2026\/01\/rie-journal.png",671,341,false],"portraits":["https:\/\/www.smreza.com\/profile\/wp-content\/uploads\/2026\/01\/rie-journal.png",671,341,false],"thumbnail":["https:\/\/www.smreza.com\/profile\/wp-content\/uploads\/2026\/01\/rie-journal-150x150.png",150,150,true],"medium":["https:\/\/www.smreza.com\/profile\/wp-content\/uploads\/2026\/01\/rie-journal-300x152.png",300,152,true],"large":["https:\/\/www.smreza.com\/profile\/wp-content\/uploads\/2026\/01\/rie-journal.png",671,341,false],"1536x1536":["https:\/\/www.smreza.com\/profile\/wp-content\/uploads\/2026\/01\/rie-journal.png",671,341,false],"2048x2048":["https:\/\/www.smreza.com\/profile\/wp-content\/uploads\/2026\/01\/rie-journal.png",671,341,false]},"rttpg_author":{"display_name":"Sayed Mohsin Reza","author_link":"https:\/\/www.smreza.com\/profile\/author\/smreza\/"},"rttpg_comment":0,"rttpg_category":"Highlights<\/a> Machine Learning<\/a> News<\/a> Publications<\/a> Research<\/a> Thermal Imaging<\/a>","rttpg_excerpt":"A recent research study by\u00a0D3M Lab members has been published in the journal Results in Engineering (Elsevier). The article, titled: \u201cComparative Analysis of Deep Learning Models for Defect Detection in Additive Manufacturing Using Thermal Imaging,\u201d presents a comprehensive evaluation of multiple deep learning architectures for detecting defects in additive manufacturing processes using thermal imaging data.…","_links":{"self":[{"href":"https:\/\/www.smreza.com\/profile\/wp-json\/wp\/v2\/posts\/894","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.smreza.com\/profile\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.smreza.com\/profile\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.smreza.com\/profile\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.smreza.com\/profile\/wp-json\/wp\/v2\/comments?post=894"}],"version-history":[{"count":2,"href":"https:\/\/www.smreza.com\/profile\/wp-json\/wp\/v2\/posts\/894\/revisions"}],"predecessor-version":[{"id":897,"href":"https:\/\/www.smreza.com\/profile\/wp-json\/wp\/v2\/posts\/894\/revisions\/897"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.smreza.com\/profile\/wp-json\/wp\/v2\/media\/895"}],"wp:attachment":[{"href":"https:\/\/www.smreza.com\/profile\/wp-json\/wp\/v2\/media?parent=894"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.smreza.com\/profile\/wp-json\/wp\/v2\/categories?post=894"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.smreza.com\/profile\/wp-json\/wp\/v2\/tags?post=894"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}