{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T20:11:43Z","timestamp":1784232703424,"version":"3.55.0"},"reference-count":44,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100001809","name":"NSFC","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Expert Systems with Applications"],"published-print":{"date-parts":[[2027,1]]},"DOI":"10.1016\/j.eswa.2026.133568","type":"journal-article","created":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T16:13:30Z","timestamp":1784132010000},"page":"133568","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"PC","title":["Capacity-bounded expansion: Transferability-driven mixture of experts for continual process monitoring"],"prefix":"10.1016","volume":"332","author":[{"given":"Yihui","family":"Wang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-1229-8590","authenticated-orcid":false,"given":"Zixuan","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-5253-1596","authenticated-orcid":false,"given":"Qinzhe","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Keying","family":"Ding","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3553-3424","authenticated-orcid":false,"given":"Keke","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9863-5404","authenticated-orcid":false,"given":"Xiu","family":"Su","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4756-0609","authenticated-orcid":false,"given":"Chang","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3770-9887","authenticated-orcid":false,"given":"Chunhua","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.eswa.2026.133568_bib0001","series-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision","first-page":"11506","article-title":"Towards realistic evaluation of industrial continual learning scenarios with an emphasis on energy consumption and computational footprint","author":"Chavan","year":"2023"},{"key":"10.1016\/j.eswa.2026.133568_bib0002","doi-asserted-by":"crossref","DOI":"10.1016\/j.compind.2025.104313","article-title":"A multiscale process-aware retention network for fault prediction in mixed-model production","volume":"170","author":"Chen","year":"2025","journal-title":"Computers in Industry"},{"key":"10.1016\/j.eswa.2026.133568_bib0003","doi-asserted-by":"crossref","first-page":"16664","DOI":"10.52202\/068431-1212","article-title":"Adaptformer: Adapting vision transformers for scalable visual recognition","volume":"vol. 35","author":"Chen","year":"2022","journal-title":"Advances in Neural Information Processing Systems"},{"key":"10.1016\/j.eswa.2026.133568_bib0004","series-title":"Loss of plasticity in deep continual learning","first-page":"768","volume":"vol. 632","author":"Dohare","year":"2024"},{"key":"10.1016\/j.eswa.2026.133568_bib0005","series-title":"International Conference on Learning Representations","article-title":"An image is worth 16x16 words: Transformers for image recognition at scale","author":"Dosovitskiy","year":"2025"},{"key":"10.1016\/j.eswa.2026.133568_bib0006","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2024.125135","article-title":"APM: Adaptive parameter multiplexing for class incremental learning","volume":"vol. 258","author":"Gao","year":"2024","journal-title":"Expert Systems with Applications"},{"key":"10.1016\/j.eswa.2026.133568_bib0007","doi-asserted-by":"crossref","first-page":"1789","DOI":"10.1007\/s11263-021-01453-z","article-title":"Knowledge Distillation: A Survey","volume":"129","author":"Gou","year":"2021","journal-title":"International Journal of Computer Vision"},{"key":"10.1016\/j.eswa.2026.133568_bib0008","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2022.119004","article-title":"Online continual learning via the knowledge invariant and spread-out properties","volume":"vol. 213","author":"Han","year":"2023","journal-title":"Expert Systems with Applications"},{"key":"10.1016\/j.eswa.2026.133568_bib0009","article-title":"Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey","author":"Han","year":"2024","journal-title":"Transactions on Machine Learning Research"},{"key":"10.1016\/j.eswa.2026.133568_bib0010","series-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision","first-page":"8340","article-title":"The many faces of robustness: A critical analysis of out-of-distribution generalization","author":"Hendrycks","year":"2021"},{"key":"10.1016\/j.eswa.2026.133568_bib0011","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"15262","article-title":"Natural adversarial examples","author":"Hendrycks","year":"2021"},{"key":"10.1016\/j.eswa.2026.133568_bib0012","series-title":"Adaptive mixtures of local experts","first-page":"79","volume":"3","author":"Jacobs","year":"1991"},{"key":"10.1016\/j.eswa.2026.133568_bib0013","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2025.128739","article-title":"Advances in continual learning: A comprehensive review","volume":"vol. 294","author":"Jiang","year":"2025","journal-title":"Expert Systems with Applications"},{"key":"10.1016\/j.eswa.2026.133568_bib0014","first-page":"22443","article-title":"Achieving forgetting prevention and knowledge transfer in continual learning","volume":"vol. 34","author":"Ke","year":"2021","journal-title":"Advances in Neural Information Processing Systems"},{"key":"10.1016\/j.eswa.2026.133568_bib0015","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"11930","article-title":"Achieving a better stability-plasticity trade-off via auxiliary networks in continual learning","author":"Kim","year":"2023"},{"key":"10.1016\/j.eswa.2026.133568_bib0016","series-title":"Proceedings of the National Academy of Sciences","first-page":"3521","article-title":"Overcoming catastrophic forgetting in neural networks","volume":"114","author":"Kirkpatrick","year":"2017"},{"key":"10.1016\/j.eswa.2026.133568_bib0017","series-title":"Learning multiple layers of features from tiny images","author":"Krizhevsky","year":"2009"},{"key":"10.1016\/j.eswa.2026.133568_bib0018","series-title":"Continual learning with knowledge distillation: A survey","first-page":"9798","volume":"36","author":"Li","year":"2024"},{"key":"10.1016\/j.eswa.2026.133568_bib0019","article-title":"DUKAE: DUal-level Knowledge Accumulation and Ensemble for pre-trained model-based continual learning","author":"Li","year":"2026","journal-title":"Pattern Recognition"},{"key":"10.1016\/j.eswa.2026.133568_bib0020","series-title":"Variational data-free knowledge distillation for continual learning","first-page":"12618","volume":"45","author":"Li","year":"2023"},{"key":"10.1016\/j.eswa.2026.133568_bib0021","series-title":"Forty-second International Conference on Machine Learning","article-title":"Optimal task order for continual learning of multiple tasks","author":"Li","year":"2025"},{"key":"10.1016\/j.eswa.2026.133568_bib0022","series-title":"Learning without forgetting","first-page":"2935","volume":"vol. 40","author":"Li","year":"2017"},{"key":"10.1016\/j.eswa.2026.133568_bib0023","series-title":"Nonlinear MPC based on elastic autoregressive fuzzy neural network with roasting process application","first-page":"120012","volume":"vol. 224","author":"Liang","year":"2023"},{"key":"10.1016\/j.eswa.2026.133568_bib0024","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"23638","article-title":"Inflora: Interference-free low-rank adaptation for continual learning","author":"Liang","year":"2024"},{"key":"10.1016\/j.eswa.2026.133568_bib0025","series-title":"International Conference on Machine Learning","first-page":"21078","article-title":"Theory on forgetting and generalization of continual learning","author":"Lin","year":"2023"},{"key":"10.1016\/j.eswa.2026.133568_bib0026","article-title":"Federated class-incremental learning with prompting","author":"Luo","year":"2025","journal-title":"Expert Systems with Applications"},{"key":"10.1016\/j.eswa.2026.133568_bib0027","series-title":"Incremental methods in face recognition: A survey","first-page":"253","volume":"vol. 54","author":"Madhavan","year":"2021"},{"key":"10.1016\/j.eswa.2026.133568_bib0028","series-title":"Sigmoid gating is more sample efficient than softmax gating in mixture of experts","first-page":"118357","volume":"vol. 37","author":"Nguyen","year":"2024"},{"key":"10.1016\/j.eswa.2026.133568_bib0029","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2026.115599","article-title":"Neuro-Symbolic Continual Learning with Replay and Elastic Weight Consolidation: A Case Study in Mental Health Risk Assessment","author":"Pal","year":"2026","journal-title":"Knowledge-Based Systems"},{"key":"10.1016\/j.eswa.2026.133568_bib0030","first-page":"67459","article-title":"C-LoRA: Contextual low-rank adaptation for uncertainty estimation in large language models","volume":"vol. 38","author":"Rahmati","year":"2026","journal-title":"Advances in Neural Information Processing Systems"},{"key":"10.1016\/j.eswa.2026.133568_bib0031","series-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","first-page":"2001","article-title":"iCarl: Incremental classifier and representation learning","author":"Rebuffi","year":"2017"},{"key":"10.1016\/j.eswa.2026.133568_bib0032","series-title":"Catastrophic forgetting, rehearsal and pseudorehearsal","first-page":"123","volume":"vol. 7","author":"Robins","year":"1995"},{"key":"10.1016\/j.eswa.2026.133568_bib0033","series-title":"Advances in Neural Information Processing Systems","article-title":"Experience replay for continual learning","volume":"vol. 32","author":"Rolnick","year":"2019"},{"key":"10.1016\/j.eswa.2026.133568_bib0034","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"11909","article-title":"Coda-prompt: Continual decomposed attention-based prompting for rehearsal-free continual learning","author":"Smith","year":"2023"},{"key":"10.1016\/j.eswa.2026.133568_bib0035","series-title":"Proceedings of the ACM Symposium on Cloud Computing","first-page":"26","article-title":"Continuum: A platform for cost-aware, low-latency continual learning","author":"Tian","year":"2018"},{"key":"10.1016\/j.eswa.2026.133568_bib0036","unstructured":"van de Ven, G. M., & Tolias, A. S. (2019). Three scenarios for continual learning. arXiv preprint arXiv: 1904.07734."},{"key":"10.1016\/j.eswa.2026.133568_bib0037","series-title":"Proceedings of the Computer Vision and Pattern Recognition Conference","first-page":"10087","article-title":"Self-expansion of pre-trained models with mixture of adapters for continual learning","author":"Wang","year":"2025"},{"key":"10.1016\/j.eswa.2026.133568_bib0038","series-title":"European Conference on Computer Vision","first-page":"254","article-title":"Coscl: Cooperation of small continual learners is stronger than a big one","author":"Wang","year":"2022"},{"key":"10.1016\/j.eswa.2026.133568_bib0039","series-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence","first-page":"5362","article-title":"A comprehensive survey of continual learning: Theory, method and application","volume":"vol. 46","author":"Wang","year":"2024"},{"key":"10.1016\/j.eswa.2026.133568_bib0040","series-title":"European Conference on Computer Vision","first-page":"631","article-title":"Dualprompt: Complementary prompting for rehearsal-free continual learning","author":"Wang","year":"2022"},{"key":"10.1016\/j.eswa.2026.133568_bib0041","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"139","article-title":"Learning to prompt for continual learning","author":"Wang","year":"2022"},{"key":"10.1016\/j.eswa.2026.133568_bib0042","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"23219","article-title":"Boosting continual learning of vision-language models via mixture-of-experts adapters","author":"Yu","year":"2024"},{"key":"10.1016\/j.eswa.2026.133568_bib0043","unstructured":"Zhai, X., Puigcerver, J., Kolesnikov, A., Ruyssen, P., Riquelme, C., Lucic, M., Djolonga, J., Pinto, A. S., Neumann, M., Dosovitskiy, A., & others (2019). A large-scale study of representation learning with the visual task adaptation benchmark. arXiv preprint arXiv: 1910.04867."},{"key":"10.1016\/j.eswa.2026.133568_bib0044","series-title":"Revisiting class-incremental learning with pre-trained models: Generalizability and adaptivity are all you need","first-page":"1012","volume":"vol. 133","author":"Zhou","year":"2025"}],"container-title":["Expert Systems with Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0957417426024772?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0957417426024772?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T19:43:26Z","timestamp":1784231006000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0957417426024772"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2027,1]]},"references-count":44,"alternative-id":["S0957417426024772"],"URL":"https:\/\/doi.org\/10.1016\/j.eswa.2026.133568","relation":{},"ISSN":["0957-4174"],"issn-type":[{"value":"0957-4174","type":"print"}],"subject":[],"published":{"date-parts":[[2027,1]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Capacity-bounded expansion: Transferability-driven mixture of experts for continual process monitoring","name":"articletitle","label":"Article Title"},{"value":"Expert Systems with Applications","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.eswa.2026.133568","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"133568"}}