{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,26]],"date-time":"2025-11-26T22:07:39Z","timestamp":1764194859227,"version":"3.40.5"},"reference-count":34,"publisher":"Cambridge University Press (CUP)","license":[{"start":{"date-parts":[[2024,5,10]],"date-time":"2024-05-10T00:00:00Z","timestamp":1715299200000},"content-version":"unspecified","delay-in-days":130,"URL":"https:\/\/www.cambridge.org\/core\/terms"}],"content-domain":{"domain":["cambridge.org"],"crossmark-restriction":true},"short-container-title":["AIEDAM"],"published-print":{"date-parts":[[2024]]},"abstract":"<jats:title>Abstract<\/jats:title>\n\t  <jats:p>This study aims to develop a multidisciplinary artificial hybrid machine learning (AHML) approach to reduce the scanning time (ST) of the human wrist and improve the accuracy of 3D scanning for anthropometric data collection. A systematic AHML approach was deployed to scan the human wrist distal end optimally using a portable SENSE 2.0 3D scanner. A central composite design (CCD) matrix was developed for three input variables; light intensity (LI\u00a0=\u00a012\u201320\u00a0W\/m<jats:sup>2<\/jats:sup>), capture angle (CA\u00a0=\u00a010\u00b0\u201350\u00b0), and scanning distance (SD\u00a0=\u00a010\u201320 inches) for executing the experimental runs. For accuracy evaluation, the wrist perimeter on the distal end was checked using CREO Parametric software for wrist perimeter error (WPE). Various AHML tools were developed using: response surface methodology (RSM), multi-objective genetic algorithm RSM, and multi-objective genetic algorithm neural networking (MOGANN). The optimal process parameters recommended by the hybrid tools were experimentally validated for their prediction accuracy. The MOGANN approach combined with the Bayesian regularization algorithm (trainabr) provided the best mutual combination of optimal ST\u00a0=\u00a020.072\u00a0sec and WPE\u00a0=\u00a00.375\u00a0cm corresponding to LI\u00a0=\u00a012.001\u00a0W\/m<jats:sup>2<\/jats:sup>, CA\u00a0=\u00a029.428\u00b0, and SD\u00a0=\u00a018.214 inch, with a significant percentage reduction of 55.83% in WPE. Executing 3D scanning of the human wrist over the optimized process parameters predicted by AHML tools will ensure the availability of precise scans for the rapid prototyping of customized orthotic devices in a reliable manner.<\/jats:p>","DOI":"10.1017\/s0890060424000064","type":"journal-article","created":{"date-parts":[[2024,5,10]],"date-time":"2024-05-10T06:53:51Z","timestamp":1715324031000},"update-policy":"https:\/\/doi.org\/10.1017\/policypage","source":"Crossref","is-referenced-by-count":2,"title":["Hybrid machine learning approach for accurate and expeditious 3D scanning to enhance rapid prototyping reliability in orthotics using RSM-RSMOGA-MOGANN"],"prefix":"10.1017","volume":"38","author":[{"given":"Ashwani","family":"Kumar","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3738-0153","authenticated-orcid":false,"given":"Deepak","family":"Chhabra","sequence":"additional","affiliation":[]}],"member":"56","published-online":{"date-parts":[[2024,5,10]]},"reference":[{"key":"S0890060424000064_r28","doi-asserted-by":"publisher","DOI":"10.1186\/1757-1146-3-19"},{"key":"S0890060424000064_r14","doi-asserted-by":"publisher","DOI":"10.3390\/rs3102207"},{"key":"S0890060424000064_r33","doi-asserted-by":"publisher","DOI":"10.1016\/S0010-4485(01)00209-3"},{"key":"S0890060424000064_r34","first-page":"408","article-title":"Influences of surface parameters on laser 3D scanning","author":"Zaimovic-Uzunovic","year":"2010","journal-title":"10th International Symposium on Measurement and Quality Control 2010, ISMQC 2010"},{"key":"S0890060424000064_r7","doi-asserted-by":"publisher","DOI":"10.1016\/j.biortech.2019.121789"},{"key":"S0890060424000064_r18","doi-asserted-by":"publisher","DOI":"10.1016\/j.clet.2022.100559"},{"key":"S0890060424000064_r17","doi-asserted-by":"publisher","DOI":"10.1108\/RPJ-01-2021-0009"},{"key":"S0890060424000064_r9","doi-asserted-by":"publisher","DOI":"10.1186\/s13047-020-00442-8"},{"volume-title":"Industry 4.0 and Advanced Manufacturing: Proceedings of I-4AM 2022","year":"2022","author":"Chakrabarti","key":"S0890060424000064_r5"},{"key":"S0890060424000064_r31","doi-asserted-by":"publisher","DOI":"10.22306\/atec.v6i1.74"},{"key":"S0890060424000064_r8","doi-asserted-by":"publisher","DOI":"10.1097\/BCR.0b013e31818b9e97"},{"key":"S0890060424000064_r30","doi-asserted-by":"publisher","DOI":"10.1111\/j.1601-6343.2008.01435.x"},{"key":"S0890060424000064_r4","first-page":"310","volume-title":"Proceedings of International Conference on 3-D Digital Imaging and Modeling, 3DIM","author":"Boehnen","year":"2005"},{"key":"S0890060424000064_r27","doi-asserted-by":"publisher","DOI":"10.1111\/j.1556-4029.2010.01380.x"},{"key":"S0890060424000064_r26","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0184498"},{"key":"S0890060424000064_r10","doi-asserted-by":"publisher","DOI":"10.1016\/j.procir.2020.02.248"},{"volume-title":"Service Robotics","year":"2020","author":"Nayak","key":"S0890060424000064_r22"},{"key":"S0890060424000064_r3","first-page":"1","article-title":"Automatic planning for scanning: Optimizing 3D laser scanning operations using BIM and TLS","volume":"46","author":"Biswas","year":"2019","journal-title":"IAENG International Journal of Computer Science"},{"key":"S0890060424000064_r19","doi-asserted-by":"publisher","DOI":"10.1017\/S0890060422000142"},{"key":"S0890060424000064_r24","doi-asserted-by":"publisher","DOI":"10.1108\/RPJ-01-2019-0009"},{"key":"S0890060424000064_r1","doi-asserted-by":"publisher","DOI":"10.1155\/2017\/4134205"},{"key":"S0890060424000064_r15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCMSO58359.2022.00074"},{"key":"S0890060424000064_r2","doi-asserted-by":"publisher","DOI":"10.3390\/biom10010124"},{"key":"S0890060424000064_r23","doi-asserted-by":"publisher","DOI":"10.3390\/rs3010167"},{"key":"S0890060424000064_r12","doi-asserted-by":"publisher","DOI":"10.1016\/j.cegh.2018.05.006"},{"key":"S0890060424000064_r21","unstructured":"Leme\u0161, S and Zaimovi\u0107-Uzunovi\u0107, N (2009) Study of ambient light influence on laser 3D scanning. In Slabe JM, Grum J and Kuzman K (eds), 7th International Conference on Industrial Tools and Material Processing Technologies (ICIT & MPT). 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