[{"user_id":"257451","date_created":"2025-11-24T10:25:13Z","publication":"Mathematics","volume":13,"type":"journal_article","date_updated":"2026-03-17T15:29:29Z","author":[{"first_name":"Kanat","full_name":"Suleimenov, Kanat","last_name":"Suleimenov"},{"orcid":"0000-0003-3700-6214","full_name":"Kapsalyamov, Akim","last_name":"Kapsalyamov","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0003-3700-6214/work/197758764","first_name":"Akim","id":"257451"},{"last_name":"Abdikenov","full_name":"Abdikenov, Beibit","first_name":"Beibit"},{"last_name":"Ozhikenova","full_name":"Ozhikenova, Aiman","first_name":"Aiman"},{"last_name":"Igembay","full_name":"Igembay, Yerbolat","first_name":"Yerbolat"},{"first_name":"Kassymbek","full_name":"Ozhikenov, Kassymbek","last_name":"Ozhikenov"}],"article_number":"3669","citation":{"ieee":"K. Suleimenov, A. Kapsalyamov, B. Abdikenov, A. Ozhikenova, Y. Igembay, and K. Ozhikenov, “Comparative Analysis of Model-Based and Data-Driven Control for Tendon-Driven Robotic Fingers,” <i>Mathematics</i>, vol. 13, no. 22, 2025.","apa":"Suleimenov, K., Kapsalyamov, A., Abdikenov, B., Ozhikenova, A., Igembay, Y., &#38; Ozhikenov, K. (2025). Comparative Analysis of Model-Based and Data-Driven Control for Tendon-Driven Robotic Fingers. <i>Mathematics</i>, <i>13</i>(22). <a href=\"https://doi.org/10.3390/math13223669\">https://doi.org/10.3390/math13223669</a>","short":"K. Suleimenov, A. Kapsalyamov, B. Abdikenov, A. Ozhikenova, Y. Igembay, K. Ozhikenov, Mathematics 13 (2025).","bibtex":"@article{Suleimenov_Kapsalyamov_Abdikenov_Ozhikenova_Igembay_Ozhikenov_2025, title={Comparative Analysis of Model-Based and Data-Driven Control for Tendon-Driven Robotic Fingers}, volume={13}, DOI={<a href=\"https://doi.org/10.3390/math13223669\">10.3390/math13223669</a>}, number={223669}, journal={Mathematics}, publisher={MDPI AG}, author={Suleimenov, Kanat and Kapsalyamov, Akim and Abdikenov, Beibit and Ozhikenova, Aiman and Igembay, Yerbolat and Ozhikenov, Kassymbek}, year={2025} }","alphadin":"<span style=\"font-variant:small-caps;\">Suleimenov, Kanat</span> ; <span style=\"font-variant:small-caps;\">Kapsalyamov, Akim</span> ; <span style=\"font-variant:small-caps;\">Abdikenov, Beibit</span> ; <span style=\"font-variant:small-caps;\">Ozhikenova, Aiman</span> ; <span style=\"font-variant:small-caps;\">Igembay, Yerbolat</span> ; <span style=\"font-variant:small-caps;\">Ozhikenov, Kassymbek</span>: Comparative Analysis of Model-Based and Data-Driven Control for Tendon-Driven Robotic Fingers. In: <i>Mathematics</i> Bd. 13, MDPI AG (2025), Nr. 22","mla":"Suleimenov, Kanat, et al. “Comparative Analysis of Model-Based and Data-Driven Control for Tendon-Driven Robotic Fingers.” <i>Mathematics</i>, vol. 13, no. 22, 3669, MDPI AG, 2025, doi:<a href=\"https://doi.org/10.3390/math13223669\">10.3390/math13223669</a>.","ama":"Suleimenov K, Kapsalyamov A, Abdikenov B, Ozhikenova A, Igembay Y, Ozhikenov K. Comparative Analysis of Model-Based and Data-Driven Control for Tendon-Driven Robotic Fingers. <i>Mathematics</i>. 2025;13(22). doi:<a href=\"https://doi.org/10.3390/math13223669\">10.3390/math13223669</a>","chicago":"Suleimenov, Kanat, Akim Kapsalyamov, Beibit Abdikenov, Aiman Ozhikenova, Yerbolat Igembay, and Kassymbek Ozhikenov. “Comparative Analysis of Model-Based and Data-Driven Control for Tendon-Driven Robotic Fingers.” <i>Mathematics</i> 13, no. 22 (2025). <a href=\"https://doi.org/10.3390/math13223669\">https://doi.org/10.3390/math13223669</a>."},"issue":"22","doi":"10.3390/math13223669","publication_identifier":{"eissn":["2227-7390"]},"project":[{"name":"Institut für Systemdynamik und Mechatronik","_id":"beb248c8-cd75-11ed-b77c-e432b4711f7b"}],"title":"Comparative Analysis of Model-Based and Data-Driven Control for Tendon-Driven Robotic Fingers","_id":"6315","publisher":"MDPI AG","year":"2025","intvolume":"        13","publication_status":"published","status":"public","language":[{"iso":"eng"}]},{"doi":"10.3390/math12172663","publication_identifier":{"eissn":["2227-7390"]},"citation":{"apa":"Weller, J., Migenda, N., Naik, Y., Heuwinkel, T., Kühn, A., Kohlhase, M., … Dumitrescu, R. (2024). Reference Architecture for the Integration of Prescriptive Analytics Use Cases in Smart Factories. <i>Mathematics</i>, <i>12</i>(17). <a href=\"https://doi.org/10.3390/math12172663\">https://doi.org/10.3390/math12172663</a>","ieee":"J. Weller <i>et al.</i>, “Reference Architecture for the Integration of Prescriptive Analytics Use Cases in Smart Factories,” <i>Mathematics</i>, vol. 12, no. 17, 2024.","chicago":"Weller, Julian, Nico Migenda, Yash Naik, Tim Heuwinkel, Arno Kühn, Martin Kohlhase, Wolfram Schenck, and Roman Dumitrescu. “Reference Architecture for the Integration of Prescriptive Analytics Use Cases in Smart Factories.” <i>Mathematics</i> 12, no. 17 (2024). <a href=\"https://doi.org/10.3390/math12172663\">https://doi.org/10.3390/math12172663</a>.","ama":"Weller J, Migenda N, Naik Y, et al. Reference Architecture for the Integration of Prescriptive Analytics Use Cases in Smart Factories. <i>Mathematics</i>. 2024;12(17). doi:<a href=\"https://doi.org/10.3390/math12172663\">10.3390/math12172663</a>","alphadin":"<span style=\"font-variant:small-caps;\">Weller, Julian</span> ; <span style=\"font-variant:small-caps;\">Migenda, Nico</span> ; <span style=\"font-variant:small-caps;\">Naik, Yash</span> ; <span style=\"font-variant:small-caps;\">Heuwinkel, Tim</span> ; <span style=\"font-variant:small-caps;\">Kühn, Arno</span> ; <span style=\"font-variant:small-caps;\">Kohlhase, Martin</span> ; <span style=\"font-variant:small-caps;\">Schenck, Wolfram</span> ; <span style=\"font-variant:small-caps;\">Dumitrescu, Roman</span>: Reference Architecture for the Integration of Prescriptive Analytics Use Cases in Smart Factories. In: <i>Mathematics</i> Bd. 12, MDPI AG (2024), Nr. 17","short":"J. Weller, N. Migenda, Y. Naik, T. Heuwinkel, A. Kühn, M. Kohlhase, W. Schenck, R. Dumitrescu, Mathematics 12 (2024).","bibtex":"@article{Weller_Migenda_Naik_Heuwinkel_Kühn_Kohlhase_Schenck_Dumitrescu_2024, title={Reference Architecture for the Integration of Prescriptive Analytics Use Cases in Smart Factories}, volume={12}, DOI={<a href=\"https://doi.org/10.3390/math12172663\">10.3390/math12172663</a>}, number={172663}, journal={Mathematics}, publisher={MDPI AG}, author={Weller, Julian and Migenda, Nico and Naik, Yash and Heuwinkel, Tim and Kühn, Arno and Kohlhase, Martin and Schenck, Wolfram and Dumitrescu, Roman}, year={2024} }","mla":"Weller, Julian, et al. “Reference Architecture for the Integration of Prescriptive Analytics Use Cases in Smart Factories.” <i>Mathematics</i>, vol. 12, no. 17, 2663, MDPI AG, 2024, doi:<a href=\"https://doi.org/10.3390/math12172663\">10.3390/math12172663</a>."},"issue":"17","author":[{"first_name":"Julian","last_name":"Weller","full_name":"Weller, Julian"},{"orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0002-7223-1735/work/167155079","first_name":"Nico","id":"218473","orcid":"0000-0002-7223-1735","full_name":"Migenda, Nico","last_name":"Migenda"},{"full_name":"Naik, Yash","last_name":"Naik","first_name":"Yash"},{"full_name":"Heuwinkel, Tim","last_name":"Heuwinkel","first_name":"Tim"},{"last_name":"Kühn","full_name":"Kühn, Arno","first_name":"Arno"},{"last_name":"Kohlhase","full_name":"Kohlhase, Martin","orcid":"0009-0002-9374-0720","id":"226669","first_name":"Martin","orcid_put_code_url":"https://api.orcid.org/v2.0/0009-0002-9374-0720/work/167155080"},{"id":"224375","first_name":"Wolfram","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0003-3300-2048/work/167155081","last_name":"Schenck","full_name":"Schenck, Wolfram","orcid":"0000-0003-3300-2048"},{"last_name":"Dumitrescu","full_name":"Dumitrescu, Roman","first_name":"Roman"}],"quality_controlled":"1","date_updated":"2026-06-24T11:59:39Z","article_number":"2663","oa":"1","publication":"Mathematics","date_created":"2024-09-10T07:26:47Z","user_id":"245729","type":"journal_article","volume":12,"main_file_link":[{"open_access":"1"}],"language":[{"iso":"eng"}],"status":"public","intvolume":"        12","publication_status":"published","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"project":[{"_id":"beb248c8-cd75-11ed-b77c-e432b4711f7b","name":"Institut für Systemdynamik und Mechatronik"},{"name":"Institute for Data Science Solutions","_id":"f432a2ee-bceb-11ed-a251-a83585c5074d"}],"title":"Reference Architecture for the Integration of Prescriptive Analytics Use Cases in Smart Factories","_id":"4913","year":"2024","publisher":"MDPI AG"},{"status":"public","language":[{"iso":"eng"}],"_id":"2774","year":"2023","title":"A Survey on Active Learning: State-of-the-Art, Practical Challenges and Research Directions","publisher":"MDPI AG","project":[{"name":"Institut für Systemdynamik und Mechatronik","_id":"beb248c8-cd75-11ed-b77c-e432b4711f7b"}],"tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"publication_status":"published","intvolume":"        11","issue":"4","citation":{"apa":"Tharwat, A., &#38; Schenck, W. (2023). A Survey on Active Learning: State-of-the-Art, Practical Challenges and Research Directions. <i>Mathematics</i>, <i>11</i>(4). <a href=\"https://doi.org/10.3390/math11040820\">https://doi.org/10.3390/math11040820</a>","ieee":"A. Tharwat and W. Schenck, “A Survey on Active Learning: State-of-the-Art, Practical Challenges and Research Directions,” <i>Mathematics</i>, vol. 11, no. 4, 2023.","ama":"Tharwat A, Schenck W. A Survey on Active Learning: State-of-the-Art, Practical Challenges and Research Directions. <i>Mathematics</i>. 2023;11(4). doi:<a href=\"https://doi.org/10.3390/math11040820\">10.3390/math11040820</a>","chicago":"Tharwat, Alaa, and Wolfram Schenck. “A Survey on Active Learning: State-of-the-Art, Practical Challenges and Research Directions.” <i>Mathematics</i> 11, no. 4 (2023). <a href=\"https://doi.org/10.3390/math11040820\">https://doi.org/10.3390/math11040820</a>.","short":"A. Tharwat, W. Schenck, Mathematics 11 (2023).","alphadin":"<span style=\"font-variant:small-caps;\">Tharwat, Alaa</span> ; <span style=\"font-variant:small-caps;\">Schenck, Wolfram</span>: A Survey on Active Learning: State-of-the-Art, Practical Challenges and Research Directions. In: <i>Mathematics</i> Bd. 11, MDPI AG (2023), Nr. 4","bibtex":"@article{Tharwat_Schenck_2023, title={A Survey on Active Learning: State-of-the-Art, Practical Challenges and Research Directions}, volume={11}, DOI={<a href=\"https://doi.org/10.3390/math11040820\">10.3390/math11040820</a>}, number={4820}, journal={Mathematics}, publisher={MDPI AG}, author={Tharwat, Alaa and Schenck, Wolfram}, year={2023} }","mla":"Tharwat, Alaa, and Wolfram Schenck. “A Survey on Active Learning: State-of-the-Art, Practical Challenges and Research Directions.” <i>Mathematics</i>, vol. 11, no. 4, 820, MDPI AG, 2023, doi:<a href=\"https://doi.org/10.3390/math11040820\">10.3390/math11040820</a>."},"publication_identifier":{"eissn":["2227-7390"]},"doi":"10.3390/math11040820","type":"journal_article","main_file_link":[{"open_access":"1","url":"https://www.mdpi.com/2227-7390/11/4/820"}],"volume":11,"user_id":"231260","date_created":"2023-04-18T21:54:19Z","publication":"Mathematics","department":[{"_id":"103"}],"article_number":"820","oa":"1","date_updated":"2026-07-07T08:35:29Z","quality_controlled":"1","author":[{"last_name":"Tharwat","full_name":"Tharwat, Alaa","id":"238549","first_name":"Alaa"},{"first_name":"Wolfram","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0003-3300-2048/work/177802462","id":"224375","full_name":"Schenck, Wolfram","orcid":"0000-0003-3300-2048","last_name":"Schenck"}]},{"_id":"2775","publisher":"MDPI AG","year":"2022","title":"A Novel Low-Query-Budget Active Learner with Pseudo-Labels for Imbalanced Data","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"publication_status":"published","intvolume":"        10","status":"public","language":[{"iso":"eng"}],"volume":10,"type":"journal_article","main_file_link":[{"open_access":"1","url":"https://www.mdpi.com/2227-7390/10/7/1068"}],"user_id":"231260","date_created":"2023-04-18T21:54:20Z","publication":"Mathematics","oa":"1","article_number":"1068","date_updated":"2026-07-06T06:13:09Z","quality_controlled":"1","author":[{"first_name":"Alaa","id":"238549","full_name":"Tharwat, Alaa","last_name":"Tharwat"},{"last_name":"Schenck","full_name":"Schenck, Wolfram","orcid":"0000-0003-3300-2048","id":"224375","first_name":"Wolfram","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0003-3300-2048/work/177802451"}],"issue":"7","citation":{"alphadin":"<span style=\"font-variant:small-caps;\">Tharwat, Alaa</span> ; <span style=\"font-variant:small-caps;\">Schenck, Wolfram</span>: A Novel Low-Query-Budget Active Learner with Pseudo-Labels for Imbalanced Data. In: <i>Mathematics</i> Bd. 10, MDPI AG (2022), Nr. 7","short":"A. Tharwat, W. Schenck, Mathematics 10 (2022).","mla":"Tharwat, Alaa, and Wolfram Schenck. “A Novel Low-Query-Budget Active Learner with Pseudo-Labels for Imbalanced Data.” <i>Mathematics</i>, vol. 10, no. 7, 1068, MDPI AG, 2022, doi:<a href=\"https://doi.org/10.3390/math10071068\">10.3390/math10071068</a>.","bibtex":"@article{Tharwat_Schenck_2022, title={A Novel Low-Query-Budget Active Learner with Pseudo-Labels for Imbalanced Data}, volume={10}, DOI={<a href=\"https://doi.org/10.3390/math10071068\">10.3390/math10071068</a>}, number={71068}, journal={Mathematics}, publisher={MDPI AG}, author={Tharwat, Alaa and Schenck, Wolfram}, year={2022} }","ama":"Tharwat A, Schenck W. A Novel Low-Query-Budget Active Learner with Pseudo-Labels for Imbalanced Data. <i>Mathematics</i>. 2022;10(7). doi:<a href=\"https://doi.org/10.3390/math10071068\">10.3390/math10071068</a>","chicago":"Tharwat, Alaa, and Wolfram Schenck. “A Novel Low-Query-Budget Active Learner with Pseudo-Labels for Imbalanced Data.” <i>Mathematics</i> 10, no. 7 (2022). <a href=\"https://doi.org/10.3390/math10071068\">https://doi.org/10.3390/math10071068</a>.","ieee":"A. Tharwat and W. Schenck, “A Novel Low-Query-Budget Active Learner with Pseudo-Labels for Imbalanced Data,” <i>Mathematics</i>, vol. 10, no. 7, 2022.","apa":"Tharwat, A., &#38; Schenck, W. (2022). A Novel Low-Query-Budget Active Learner with Pseudo-Labels for Imbalanced Data. <i>Mathematics</i>, <i>10</i>(7). <a href=\"https://doi.org/10.3390/math10071068\">https://doi.org/10.3390/math10071068</a>"},"publication_identifier":{"eissn":["2227-7390"]},"doi":"10.3390/math10071068"},{"main_file_link":[{"url":"https://doi.org/10.3390/math10060932","open_access":"1"}],"volume":10,"type":"journal_article","user_id":"33976","publication":"Mathematics","date_created":"2022-03-15T19:14:22Z","article_number":"932","oa":"1","date_updated":"2026-06-24T10:32:19Z","quality_controlled":"1","author":[{"full_name":"Leserri, David","last_name":"Leserri","first_name":"David"},{"last_name":"Grimmelsmann","orcid":"0000-0002-4864-4978","full_name":"Grimmelsmann, Nils","id":"214493","first_name":"Nils"},{"orcid":"0000-0002-8958-0931","full_name":"Mechtenberg, Malte","last_name":"Mechtenberg","first_name":"Malte","id":"218573"},{"last_name":"Meyer","orcid":"0000-0003-2454-3897","full_name":"Meyer, Hanno Gerd","id":"231466","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0003-2454-3897/work/218623225","first_name":"Hanno Gerd"},{"last_name":"Schneider","full_name":"Schneider, Axel","orcid":"0000-0002-6632-3473","id":"213480","first_name":"Axel","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0002-6632-3473/work/218623226"}],"issue":"6","citation":{"apa":"Leserri, D., Grimmelsmann, N., Mechtenberg, M., Meyer, H. G., &#38; Schneider, A. (2022). Evaluation of sEMG Signal Features and Segmentation Parameters for Limb Movement Prediction Using a Feedforward Neural Network. <i>Mathematics</i>, <i>10</i>(6). <a href=\"https://doi.org/10.3390/math10060932\">https://doi.org/10.3390/math10060932</a>","ieee":"D. Leserri, N. Grimmelsmann, M. Mechtenberg, H. G. Meyer, and A. Schneider, “Evaluation of sEMG Signal Features and Segmentation Parameters for Limb Movement Prediction Using a Feedforward Neural Network,” <i>Mathematics</i>, vol. 10, no. 6, 2022.","ama":"Leserri D, Grimmelsmann N, Mechtenberg M, Meyer HG, Schneider A. Evaluation of sEMG Signal Features and Segmentation Parameters for Limb Movement Prediction Using a Feedforward Neural Network. <i>Mathematics</i>. 2022;10(6). doi:<a href=\"https://doi.org/10.3390/math10060932\">10.3390/math10060932</a>","chicago":"Leserri, David, Nils Grimmelsmann, Malte Mechtenberg, Hanno Gerd Meyer, and Axel Schneider. “Evaluation of SEMG Signal Features and Segmentation Parameters for Limb Movement Prediction Using a Feedforward Neural Network.” <i>Mathematics</i> 10, no. 6 (2022). <a href=\"https://doi.org/10.3390/math10060932\">https://doi.org/10.3390/math10060932</a>.","mla":"Leserri, David, et al. “Evaluation of SEMG Signal Features and Segmentation Parameters for Limb Movement Prediction Using a Feedforward Neural Network.” <i>Mathematics</i>, vol. 10, no. 6, 932, MDPI AG, 2022, doi:<a href=\"https://doi.org/10.3390/math10060932\">10.3390/math10060932</a>.","short":"D. Leserri, N. Grimmelsmann, M. Mechtenberg, H.G. Meyer, A. Schneider, Mathematics 10 (2022).","alphadin":"<span style=\"font-variant:small-caps;\">Leserri, David</span> ; <span style=\"font-variant:small-caps;\">Grimmelsmann, Nils</span> ; <span style=\"font-variant:small-caps;\">Mechtenberg, Malte</span> ; <span style=\"font-variant:small-caps;\">Meyer, Hanno Gerd</span> ; <span style=\"font-variant:small-caps;\">Schneider, Axel</span>: Evaluation of sEMG Signal Features and Segmentation Parameters for Limb Movement Prediction Using a Feedforward Neural Network. In: <i>Mathematics</i> Bd. 10, MDPI AG (2022), Nr. 6","bibtex":"@article{Leserri_Grimmelsmann_Mechtenberg_Meyer_Schneider_2022, title={Evaluation of sEMG Signal Features and Segmentation Parameters for Limb Movement Prediction Using a Feedforward Neural Network}, volume={10}, DOI={<a href=\"https://doi.org/10.3390/math10060932\">10.3390/math10060932</a>}, number={6932}, journal={Mathematics}, publisher={MDPI AG}, author={Leserri, David and Grimmelsmann, Nils and Mechtenberg, Malte and Meyer, Hanno Gerd and Schneider, Axel}, year={2022} }"},"publication_identifier":{"eissn":["2227-7390"]},"doi":"10.3390/math10060932","publisher":"MDPI AG","_id":"1730","year":"2022","title":"Evaluation of sEMG Signal Features and Segmentation Parameters for Limb Movement Prediction Using a Feedforward Neural Network","project":[{"name":"TransCareTech - Transformation in Care & Technology","_id":"edf53067-b368-11ed-bde2-9f34a4102af5"},{"name":"CareTech OWL - Zentrum für Gesundheit, Soziales und Technologie","_id":"72dfeb62-b436-11ed-9513-f39505d26204"},{"_id":"beb248c8-cd75-11ed-b77c-e432b4711f7b","name":"Institut für Systemdynamik und Mechatronik"}],"tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"publication_status":"published","intvolume":"        10","status":"public","language":[{"iso":"eng"}]},{"language":[{"iso":"eng"}],"keyword":["Gaussian process regression","design of experiments","static process models","industrial processes","stepwise experimental design"],"status":"public","intvolume":"         9","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"publication_status":"published","year":"2021","_id":"3717","publisher":"MDPI AG","title":"Incremental DoE and Modeling Methodology with Gaussian Process Regression: An Industrially Applicable Approach to Incorporate Expert Knowledge","doi":"10.3390/math9192479","publication_identifier":{"eissn":["2227-7390"]},"citation":{"ama":"Voigt T, Kohlhase M, Nelles O. Incremental DoE and Modeling Methodology with Gaussian Process Regression: An Industrially Applicable Approach to Incorporate Expert Knowledge. <i>Mathematics</i>. 2021;9(19). doi:<a href=\"https://doi.org/10.3390/math9192479\">10.3390/math9192479</a>","chicago":"Voigt, Tim, Martin Kohlhase, and Oliver Nelles. “Incremental DoE and Modeling Methodology with Gaussian Process Regression: An Industrially Applicable Approach to Incorporate Expert Knowledge.” <i>Mathematics</i> 9, no. 19 (2021). <a href=\"https://doi.org/10.3390/math9192479\">https://doi.org/10.3390/math9192479</a>.","mla":"Voigt, Tim, et al. “Incremental DoE and Modeling Methodology with Gaussian Process Regression: An Industrially Applicable Approach to Incorporate Expert Knowledge.” <i>Mathematics</i>, vol. 9, no. 19, 2479, MDPI AG, 2021, doi:<a href=\"https://doi.org/10.3390/math9192479\">10.3390/math9192479</a>.","short":"T. Voigt, M. Kohlhase, O. Nelles, Mathematics 9 (2021).","bibtex":"@article{Voigt_Kohlhase_Nelles_2021, title={Incremental DoE and Modeling Methodology with Gaussian Process Regression: An Industrially Applicable Approach to Incorporate Expert Knowledge}, volume={9}, DOI={<a href=\"https://doi.org/10.3390/math9192479\">10.3390/math9192479</a>}, number={192479}, journal={Mathematics}, publisher={MDPI AG}, author={Voigt, Tim and Kohlhase, Martin and Nelles, Oliver}, year={2021} }","alphadin":"<span style=\"font-variant:small-caps;\">Voigt, Tim</span> ; <span style=\"font-variant:small-caps;\">Kohlhase, Martin</span> ; <span style=\"font-variant:small-caps;\">Nelles, Oliver</span>: Incremental DoE and Modeling Methodology with Gaussian Process Regression: An Industrially Applicable Approach to Incorporate Expert Knowledge. In: <i>Mathematics</i> Bd. 9, MDPI AG (2021), Nr. 19","apa":"Voigt, T., Kohlhase, M., &#38; Nelles, O. (2021). Incremental DoE and Modeling Methodology with Gaussian Process Regression: An Industrially Applicable Approach to Incorporate Expert Knowledge. <i>Mathematics</i>, <i>9</i>(19). <a href=\"https://doi.org/10.3390/math9192479\">https://doi.org/10.3390/math9192479</a>","ieee":"T. Voigt, M. Kohlhase, and O. Nelles, “Incremental DoE and Modeling Methodology with Gaussian Process Regression: An Industrially Applicable Approach to Incorporate Expert Knowledge,” <i>Mathematics</i>, vol. 9, no. 19, 2021."},"issue":"19","date_updated":"2026-08-03T15:24:44Z","alternative_id":["1477"],"author":[{"id":"220691","first_name":"Tim","last_name":"Voigt","full_name":"Voigt, Tim"},{"first_name":"Martin","orcid_put_code_url":"https://api.orcid.org/v2.0/0009-0002-9374-0720/work/222606627","id":"226669","full_name":"Kohlhase, Martin","orcid":"0009-0002-9374-0720","last_name":"Kohlhase"},{"first_name":"Oliver","last_name":"Nelles","full_name":"Nelles, Oliver"}],"article_number":"2479","oa":"1","user_id":"256529","date_created":"2023-11-14T10:52:17Z","publication":"Mathematics","volume":9,"type":"journal_article","main_file_link":[{"open_access":"1","url":"https://www.mdpi.com/2227-7390/9/19/2479"}]}]