{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T14:11:27Z","timestamp":1779372687757,"version":"3.53.1"},"reference-count":65,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Expert Systems with Applications"],"published-print":{"date-parts":[[2026,9]]},"DOI":"10.1016\/j.eswa.2026.132650","type":"journal-article","created":{"date-parts":[[2026,5,7]],"date-time":"2026-05-07T15:31:47Z","timestamp":1778167907000},"page":"132650","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Diff-MEF: An efficient frequency domain-based diffusion model for multi-exposure image fusion"],"prefix":"10.1016","volume":"327","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-2680-1698","authenticated-orcid":false,"given":"Kai","family":"Diao","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-5161-3412","authenticated-orcid":false,"given":"Lisi","family":"Wei","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-8314-3740","authenticated-orcid":false,"given":"Xihang","family":"Hu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8412-4956","authenticated-orcid":false,"given":"Xiaoli","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.eswa.2026.132650_bib0001","series-title":"Proceedings of the IEEE\/CVF international conference on computer vision (ICCV)","first-page":"7251","article-title":"Retinex-MEF: Retinex-based glare effects aware unsupervised multi-exposure image fusion","author":"Bai","year":"2025"},{"issue":"4","key":"10.1016\/j.eswa.2026.132650_bib0002","doi-asserted-by":"crossref","first-page":"2049","DOI":"10.1109\/TIP.2018.2794218","article-title":"Learning a deep single image contrast enhancer from multi-exposure images","volume":"27","author":"Cai","year":"2018","journal-title":"IEEE Transactions on Image Processing"},{"key":"10.1016\/j.eswa.2026.132650_bib0003","first-page":"29114","article-title":"Hierarchical integration diffusion model for realistic image deblurring","volume":"36","author":"Chen","year":"2024","journal-title":"Advances in Neural Information Processing Systems"},{"key":"10.1016\/j.eswa.2026.132650_bib0004","first-page":"1","article-title":"UniFusion: A lightweight unified image fusion network","volume":"70","author":"Cheng","year":"2021","journal-title":"IEEE Transactions on Instrumentation and Measurement"},{"key":"10.1016\/j.eswa.2026.132650_bib0005","series-title":"Recovering high dynamic range radiance maps from photographs","author":"Debevec","year":"2023"},{"key":"10.1016\/j.eswa.2026.132650_bib0006","series-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition","first-page":"10021","article-title":"Implicit diffusion models for continuous super-resolution","author":"Gao","year":"2023"},{"key":"10.1016\/j.eswa.2026.132650_bib0007","first-page":"2672","article-title":"Generative adversarial nets","volume":"27","author":"Goodfellow","year":"2014","journal-title":"Advances in Neural Information Processing Systems"},{"issue":"11","key":"10.1016\/j.eswa.2026.132650_bib0008","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1145\/3422622","article-title":"Generative adversarial networks","volume":"63","author":"Goodfellow","year":"2020","journal-title":"Communications of the ACM"},{"issue":"2","key":"10.1016\/j.eswa.2026.132650_bib0009","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1109\/99.388960","article-title":"An introduction to wavelets","volume":"2","author":"Graps","year":"1995","journal-title":"IEEE Computational Science and Engineering"},{"key":"10.1016\/j.eswa.2026.132650_bib0010","doi-asserted-by":"crossref","first-page":"248","DOI":"10.1016\/j.inffus.2021.10.006","article-title":"Multi-exposure image fusion via deep perceptual enhancement","volume":"79","author":"Han","year":"2022","journal-title":"Information Fusion"},{"key":"10.1016\/j.eswa.2026.132650_bib0011","first-page":"6840","article-title":"Denoising diffusion probabilistic models","volume":"33","author":"Ho","year":"2020","journal-title":"Advances in Neural Information Processing Systems"},{"key":"10.1016\/j.eswa.2026.132650_bib0012","doi-asserted-by":"crossref","first-page":"8581","DOI":"10.1109\/TMM.2024.3379883","article-title":"OFPF-MEF: An optical flow guided dynamic multi-exposure image fusion network with progressive frequencies learning","volume":"26","author":"Hong","year":"2024","journal-title":"IEEE Transactions on Multimedia"},{"key":"10.1016\/j.eswa.2026.132650_bib0013","doi-asserted-by":"crossref","DOI":"10.1016\/j.inffus.2024.102534","article-title":"Leveraging a self-adaptive mean teacher model for semi-supervised multi-exposure image fusion","volume":"112","author":"Huang","year":"2024","journal-title":"Information Fusion"},{"key":"10.1016\/j.eswa.2026.132650_bib0014","doi-asserted-by":"crossref","first-page":"7058","DOI":"10.1109\/TMM.2024.3359769","article-title":"WaveDM: Wavelet-based diffusion models for image restoration","volume":"26","author":"Huang","year":"2024","journal-title":"IEEE Transactions on Multimedia"},{"issue":"6","key":"10.1016\/j.eswa.2026.132650_bib0015","first-page":"1","article-title":"Low-light image enhancement with wavelet-based diffusion models","volume":"42","author":"Jiang","year":"2023","journal-title":"ACM Transactions on Graphics (TOG)"},{"key":"10.1016\/j.eswa.2026.132650_bib0016","series-title":"Proceedings of the IEEE\/CVF international conference on computer vision (ICCV)","first-page":"10542","article-title":"MEFLUT: Unsupervised 1D lookup tables for multi-exposure image fusion","author":"Jiang","year":"2023"},{"key":"10.1016\/j.eswa.2026.132650_bib0017","first-page":"23593","article-title":"Denoising diffusion restoration models","volume":"35","author":"Kawar","year":"2022","journal-title":"Advances in Neural Information Processing Systems"},{"key":"10.1016\/j.eswa.2026.132650_bib0018","series-title":"2nd international conference on learning representations, ICLR 2014","article-title":"Auto-encoding variational Bayes","author":"Kingma","year":"2014"},{"key":"10.1016\/j.eswa.2026.132650_bib0019","series-title":"2018 25th IEEE international conference on image processing (ICIP)","first-page":"1737","article-title":"A multi-exposure image fusion based on the adaptive weights reflecting the relative pixel intensity and global gradient","author":"Lee","year":"2018"},{"key":"10.1016\/j.eswa.2026.132650_bib0020","first-page":"1","article-title":"GalFusion: Multi-exposure image fusion via a global-local aggregation learning network","volume":"72","author":"Lei","year":"2023","journal-title":"IEEE Transactions on Instrumentation and Measurement"},{"key":"10.1016\/j.eswa.2026.132650_bib0021","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1016\/j.neucom.2022.01.029","article-title":"SRDIFF: Single image super-resolution with diffusion probabilistic models","volume":"479","author":"Li","year":"2022","journal-title":"Neurocomputing"},{"key":"10.1016\/j.eswa.2026.132650_bib0022","article-title":"FusionDiff: Multi-focus image fusion using denoising diffusion probabilistic models","volume":"238","author":"Li","year":"2024","journal-title":"Expert Systems with Applications"},{"issue":"3","key":"10.1016\/j.eswa.2026.132650_bib0023","doi-asserted-by":"crossref","first-page":"1243","DOI":"10.1109\/TIP.2017.2651366","article-title":"Detail-enhanced multi-scale exposure fusion","volume":"26","author":"Li","year":"2017","journal-title":"IEEE Transactions on Image Processing"},{"issue":"8","key":"10.1016\/j.eswa.2026.132650_bib0024","doi-asserted-by":"crossref","first-page":"5026","DOI":"10.1109\/TCSVT.2022.3144455","article-title":"Attention-guided global-local adversarial learning for detail-preserving multi-exposure image fusion","volume":"32","author":"Liu","year":"2022","journal-title":"IEEE Transactions on Circuits and Systems for Video Technology"},{"key":"10.1016\/j.eswa.2026.132650_bib0025","doi-asserted-by":"crossref","first-page":"237","DOI":"10.1016\/j.inffus.2023.02.027","article-title":"Holoco: Holistic and local contrastive learning network for multi-exposure image fusion","volume":"95","author":"Liu","year":"2023","journal-title":"Information Fusion"},{"key":"10.1016\/j.eswa.2026.132650_bib0026","series-title":"Proceedings of the AAAI conference on artificial intelligence","first-page":"1710","article-title":"EMEF: Ensemble multi-exposure image fusion","volume":"vol. 37","author":"Liu","year":"2023"},{"key":"10.1016\/j.eswa.2026.132650_bib0027","doi-asserted-by":"crossref","first-page":"208","DOI":"10.1016\/j.jvcir.2015.06.021","article-title":"Dense SIFT for ghost-free multi-exposure fusion","volume":"31","author":"Liu","year":"2015","journal-title":"Journal of Visual Communication and Image Representation"},{"key":"10.1016\/j.eswa.2026.132650_bib0028","unstructured":"Liu, Z., Liu, J., Wu, G., Fan, X., & Liu, R. (2023c). Embracing compact and robust architectures for multi-exposure image fusion. arXiv: 2305.12236."},{"key":"10.1016\/j.eswa.2026.132650_bib0029","doi-asserted-by":"crossref","first-page":"1529","DOI":"10.1109\/TIP.2023.3242824","article-title":"Multi-exposure image fusion via deformable self-attention","volume":"32","author":"Luo","year":"2023","journal-title":"IEEE Transactions on Image Processing"},{"issue":"1","key":"10.1016\/j.eswa.2026.132650_bib0030","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1109\/TCI.2017.2786138","article-title":"Multi-exposure image fusion by optimizing a structural similarity index","volume":"4","author":"Ma","year":"2017","journal-title":"IEEE Transactions on Computational Imaging"},{"issue":"5","key":"10.1016\/j.eswa.2026.132650_bib0031","doi-asserted-by":"crossref","first-page":"2519","DOI":"10.1109\/TIP.2017.2671921","article-title":"Robust multi-exposure image fusion: A structural patch decomposition approach","volume":"26","author":"Ma","year":"2017","journal-title":"IEEE Transactions on Image Processing"},{"key":"10.1016\/j.eswa.2026.132650_bib0032","series-title":"2015 IEEE International conference on image processing (ICIP)","first-page":"1717","article-title":"Multi-exposure image fusion: A patch-wise approach","author":"Ma","year":"2015"},{"issue":"11","key":"10.1016\/j.eswa.2026.132650_bib0033","doi-asserted-by":"crossref","first-page":"3345","DOI":"10.1109\/TIP.2015.2442920","article-title":"Perceptual quality assessment for multi-exposure image fusion","volume":"24","author":"Ma","year":"2015","journal-title":"IEEE Transactions on Image Processing"},{"issue":"7","key":"10.1016\/j.eswa.2026.132650_bib0034","doi-asserted-by":"crossref","first-page":"674","DOI":"10.1109\/34.192463","article-title":"A theory for multiresolution signal decomposition: The wavelet representation","volume":"11","author":"Mallat","year":"1989","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"10.1016\/j.eswa.2026.132650_bib0035","series-title":"Proceedings of the IEEE international conference on computer vision","first-page":"2794","article-title":"Least squares generative adversarial networks","author":"Mao","year":"2017"},{"key":"10.1016\/j.eswa.2026.132650_bib0036","first-page":"409","article-title":"Ghosting-free DCT based multi-exposure image fusion","volume":"78","author":"Martorell","year":"2019","journal-title":"Signal Processing: Image Communication"},{"key":"10.1016\/j.eswa.2026.132650_bib0037","series-title":"15th Pacific conference on computer graphics and applications (PG\u201907)","first-page":"382","article-title":"Exposure fusion","author":"Mertens","year":"2007"},{"key":"10.1016\/j.eswa.2026.132650_bib0038","series-title":"Proceedings of the 31st ACM international conference on multimedia","first-page":"2985","article-title":"Little strokes fell great oaks: Boosting the hierarchical features for multi-exposure image fusion","author":"Mu","year":"2023"},{"key":"10.1016\/j.eswa.2026.132650_bib0039","series-title":"International conference on machine learning","first-page":"8162","article-title":"Improved denoising diffusion probabilistic models","author":"Nichol","year":"2021"},{"issue":"8","key":"10.1016\/j.eswa.2026.132650_bib0040","doi-asserted-by":"crossref","first-page":"10346","DOI":"10.1109\/TPAMI.2023.3238179","article-title":"Restoring vision in adverse weather conditions with patch-based denoising diffusion models","volume":"45","author":"\u00d6zdenizci","year":"2023","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"issue":"10","key":"10.1016\/j.eswa.2026.132650_bib0041","doi-asserted-by":"crossref","DOI":"10.1142\/S0218126616501231","article-title":"Multi-exposure and multi-focus image fusion in gradient domain","volume":"25","author":"Paul","year":"2016","journal-title":"Journal of Circuits, Systems and Computers"},{"key":"10.1016\/j.eswa.2026.132650_bib0042","series-title":"Proceedings of the AAAI conference on artificial intelligence","first-page":"11908","article-title":"FFA-Net: Feature fusion attention network for single image dehazing","volume":"vol. 34","author":"Qin","year":"2020"},{"key":"10.1016\/j.eswa.2026.132650_bib0043","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2023.119909","article-title":"AIM-MEF: Multi-exposure image fusion based on adaptive information mining in both spatial and frequency domains","volume":"223","author":"Qu","year":"2023","journal-title":"Expert Systems with Applications"},{"key":"10.1016\/j.eswa.2026.132650_bib0044","series-title":"Proceedings of the IEEE international conference on computer vision","first-page":"4714","article-title":"DeepFuse: A deep unsupervised approach for exposure fusion with extreme exposure image pairs","author":"Ram Prabhakar","year":"2017"},{"key":"10.1016\/j.eswa.2026.132650_bib0045","series-title":"Proceedings of the IEEE\/CVF international conference on computer vision","first-page":"10721","article-title":"Multiscale structure guided diffusion for image deblurring","author":"Ren","year":"2023"},{"key":"10.1016\/j.eswa.2026.132650_bib0046","series-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition","first-page":"10684","article-title":"High-resolution image synthesis with latent diffusion models","author":"Rombach","year":"2022"},{"issue":"4","key":"10.1016\/j.eswa.2026.132650_bib0047","first-page":"4713","article-title":"Image super-resolution via iterative refinement","volume":"45","author":"Saharia","year":"2022","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"10.1016\/j.eswa.2026.132650_bib0048","series-title":"International conference on learning representations","first-page":"1","article-title":"Denoising diffusion implicit models","author":"Song","year":"2021"},{"issue":"1","key":"10.1016\/j.eswa.2026.132650_bib0049","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1109\/TIP.2011.2157514","article-title":"Probabilistic exposure fusion","volume":"21","author":"Song","year":"2011","journal-title":"IEEE Transactions on Image Processing"},{"key":"10.1016\/j.eswa.2026.132650_bib0050","doi-asserted-by":"crossref","first-page":"5310","DOI":"10.1109\/TIP.2023.3315123","article-title":"Deep multi-exposure image fusion for dynamic scenes","volume":"32","author":"Tan","year":"2023","journal-title":"IEEE Transactions on Image Processing"},{"issue":"8","key":"10.1016\/j.eswa.2026.132650_bib0051","doi-asserted-by":"crossref","first-page":"2418","DOI":"10.1109\/TCSVT.2019.2919310","article-title":"Detail-enhanced multi-scale exposure fusion in YUV color space","volume":"30","author":"Wang","year":"2019","journal-title":"IEEE Transactions on Circuits and Systems for Video Technology"},{"key":"10.1016\/j.eswa.2026.132650_bib0052","series-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition","first-page":"25796","article-title":"SinSR: Diffusion-based image super-resolution in a single step","author":"Wang","year":"2024"},{"key":"10.1016\/j.eswa.2026.132650_bib0053","series-title":"Proceedings of the IEEE\/CVF international conference on computer vision","first-page":"12438","article-title":"ExposureDiffusion: Learning to expose for low-light image enhancement","author":"Wang","year":"2023"},{"key":"10.1016\/j.eswa.2026.132650_bib0054","series-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition","first-page":"16293","article-title":"Deblurring via stochastic refinement","author":"Whang","year":"2022"},{"key":"10.1016\/j.eswa.2026.132650_bib0055","series-title":"Proceedings of the IEEE\/CVF international conference on computer vision","first-page":"13095","article-title":"Diffir: Efficient diffusion model for image restoration","author":"Xia","year":"2023"},{"issue":"1","key":"10.1016\/j.eswa.2026.132650_bib0056","doi-asserted-by":"crossref","first-page":"502","DOI":"10.1109\/TPAMI.2020.3012548","article-title":"U2Fusion: A unified unsupervised image fusion network","volume":"44","author":"Xu","year":"2020","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"10.1016\/j.eswa.2026.132650_bib0057","doi-asserted-by":"crossref","first-page":"7203","DOI":"10.1109\/TIP.2020.2999855","article-title":"MEF-GAN: Multi-exposure image fusion via generative adversarial networks","volume":"29","author":"Xu","year":"2020","journal-title":"IEEE Transactions on Image Processing"},{"key":"10.1016\/j.eswa.2026.132650_bib0058","doi-asserted-by":"crossref","first-page":"5803","DOI":"10.1109\/TIP.2025.3607628","article-title":"URFusion: Unsupervised unified degradation-robust image fusion network","volume":"34","author":"Xu","year":"2025","journal-title":"IEEE Transactions on Image Processing"},{"issue":"5","key":"10.1016\/j.eswa.2026.132650_bib0059","doi-asserted-by":"crossref","first-page":"4011","DOI":"10.1109\/TCSVT.2023.3326293","article-title":"Toward high-quality HDR deghosting with conditional diffusion models","volume":"34","author":"Yan","year":"2024","journal-title":"IEEE Transactions on Circuits and Systems for Video Technology"},{"key":"10.1016\/j.eswa.2026.132650_bib0060","first-page":"1","article-title":"Min-MEF: Multiscale interaction network for multiexposure image fusion","volume":"73","author":"Yang","year":"2024","journal-title":"IEEE Transactions on Instrumentation and Measurement"},{"key":"10.1016\/j.eswa.2026.132650_bib0061","series-title":"Proceedings of the IEEE\/CVF international conference on computer vision","first-page":"12302","article-title":"Diff-retinex: Rethinking low-light image enhancement with a generative diffusion model","author":"Yi","year":"2023"},{"key":"10.1016\/j.eswa.2026.132650_bib0062","first-page":"1","article-title":"Pan-sharpening with wavelet-enhanced high-frequency information","volume":"62","author":"Zhang","year":"2024","journal-title":"IEEE Transactions on Geoscience and Remote Sensing"},{"key":"10.1016\/j.eswa.2026.132650_bib0063","series-title":"Proceedings of the IEEE conference on computer vision and pattern recognition","first-page":"586","article-title":"The unreasonable effectiveness of deep features as a perceptual metric","author":"Zhang","year":"2018"},{"key":"10.1016\/j.eswa.2026.132650_bib0064","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1016\/j.inffus.2019.07.011","article-title":"IFCNN: A general image fusion framework based on convolutional neural network","volume":"54","author":"Zhang","year":"2020","journal-title":"Information Fusion"},{"key":"10.1016\/j.eswa.2026.132650_bib0065","series-title":"Proceedings of the IEEE\/CVF international conference on computer vision","first-page":"8082","article-title":"DDFM: Denoising diffusion model for multi-modality image fusion","author":"Zhao","year":"2023"}],"container-title":["Expert Systems with Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0957417426015630?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0957417426015630?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T13:38:06Z","timestamp":1779370686000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0957417426015630"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,9]]},"references-count":65,"alternative-id":["S0957417426015630"],"URL":"https:\/\/doi.org\/10.1016\/j.eswa.2026.132650","relation":{},"ISSN":["0957-4174"],"issn-type":[{"value":"0957-4174","type":"print"}],"subject":[],"published":{"date-parts":[[2026,9]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Diff-MEF: An efficient frequency domain-based diffusion model for multi-exposure image fusion","name":"articletitle","label":"Article Title"},{"value":"Expert Systems with Applications","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.eswa.2026.132650","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":"132650"}}