{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T05:57:09Z","timestamp":1777874229612,"version":"3.51.4"},"reference-count":70,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"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":["Neurocomputing"],"published-print":{"date-parts":[[2026,7]]},"DOI":"10.1016\/j.neucom.2026.133613","type":"journal-article","created":{"date-parts":[[2026,4,12]],"date-time":"2026-04-12T16:31:07Z","timestamp":1776011467000},"page":"133613","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Integration of KAN with an enhanced multi-scale mamba architecture for low-light image enhancement"],"prefix":"10.1016","volume":"685","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9937-1677","authenticated-orcid":false,"given":"Jin","family":"Chen","sequence":"first","affiliation":[]},{"given":"Lei","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Yimei","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Jintao","family":"Yu","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.neucom.2026.133613_bib0005","doi-asserted-by":"crossref","DOI":"10.1016\/j.cviu.2024.104271","article-title":"YES: you should examine suspect cues for low-light object detection","volume":"251","author":"Ye","year":"2025","journal-title":"Comput. Vis. Image Underst."},{"key":"10.1016\/j.neucom.2026.133613_bib0010","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2025.128994","article-title":"Object detection for autonomous vehicles under adverse weather conditions","volume":"296","author":"Chen","year":"2026","journal-title":"Expert Syst. Appl."},{"issue":"3","key":"10.1016\/j.neucom.2026.133613_bib0015","doi-asserted-by":"crossref","first-page":"103","DOI":"10.3390\/a17030103","article-title":"Object detection in autonomous vehicles under adverse weather: a review of traditional and deep learning approaches","volume":"17","author":"Tahir","year":"2024","journal-title":"Algorithms"},{"issue":"2","key":"10.1016\/j.neucom.2026.133613_bib0020","doi-asserted-by":"crossref","first-page":"593","DOI":"10.1109\/TCE.2007.381734","article-title":"A dynamic histogram equalization for image contrast enhancement","volume":"53","author":"Abdullah-Al-Wadud","year":"2007","journal-title":"IEEE Trans. Consum. Electron."},{"issue":"1","key":"10.1016\/j.neucom.2026.133613_bib0025","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1186\/s13640-016-0138-1","article-title":"An adaptive gamma correction for image enhancement","volume":"2016","author":"Rahman","year":"2016","journal-title":"EURASIP J. Image Video Process."},{"issue":"6","key":"10.1016\/j.neucom.2026.133613_bib0030","doi-asserted-by":"crossref","first-page":"108","DOI":"10.1038\/scientificamerican1277-108","article-title":"The retinex theory of color vision","volume":"237","author":"Land","year":"1977","journal-title":"Scientific american"},{"key":"10.1016\/j.neucom.2026.133613_bib0035","series-title":"BMVC","first-page":"4","article-title":"MBLLEN: low-light image\/video enhancement using CNNS","volume":"vol. 220","author":"Lv","year":"2018"},{"key":"10.1016\/j.neucom.2026.133613_bib0040","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"6849","article-title":"Underexposed photo enhancement using deep illumination estimation","author":"Wang","year":"2019"},{"key":"10.1016\/j.neucom.2026.133613_bib0045","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"12826","article-title":"Deeplpf: deep local parametric filters for image enhancement","author":"Moran","year":"2020"},{"key":"10.1016\/j.neucom.2026.133613_bib0050","series-title":"European Conference on Computer Vision","first-page":"492","article-title":"Learning enriched features for real image restoration and enhancement","author":"Zamir","year":"2020"},{"key":"10.1016\/j.neucom.2026.133613_bib0055","series-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision","first-page":"4106","article-title":"Star: a structure-aware lightweight transformer for real-time image enhancement","author":"Zhang","year":"2021"},{"key":"10.1016\/j.neucom.2026.133613_bib0060","series-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision","first-page":"12504","article-title":"Retinexformer: one-stage retinex-based transformer for low-light image enhancement","author":"Cai","year":"2023"},{"key":"10.1016\/j.neucom.2026.133613_bib0065","series-title":"2023 International Joint Conference on Neural Networks (IJCNN)","first-page":"1","article-title":"SpA-Former: an effective and lightweight transformer for image shadow removal","author":"Zhang","year":"2023"},{"key":"10.1016\/j.neucom.2026.133613_bib0070","series-title":"35th British Machine Vision Conference, BMVC 2024, Glasgow, UK, November 25\u201328, 2024","article-title":"Improving depth gradient continuity in transformers: a comparative study on monocular depth estimation with CNN","author":"Yao","year":"2024"},{"key":"10.1016\/j.neucom.2026.133613_bib0075","series-title":"International Conference on Neural Information Processing","first-page":"427","article-title":"Retinexmamba: retinex-based mamba for low-light image enhancement","author":"Bai","year":"2024"},{"key":"10.1016\/j.neucom.2026.133613_bib0080","doi-asserted-by":"crossref","DOI":"10.1016\/j.neucom.2025.129451","article-title":"A hybrid mamba and sparse look-up table network for perceptual-friendly underwater image enhancement","volume":"625","author":"Li","year":"2025","journal-title":"Neurocomputing"},{"issue":"4","key":"10.1016\/j.neucom.2026.133613_sbr0085","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1007\/s11760-025-03858-6","article-title":"LLD-YOLO: a multi-module network for robust vehicle detection in low-light conditions","volume":"19","author":"Zhang","year":"2025","journal-title":"Signal Image Video Process."},{"issue":"3","key":"10.1016\/j.neucom.2026.133613_sbr0090","doi-asserted-by":"crossref","first-page":"103","DOI":"10.3390\/a17030103","article-title":"Object detection in autonomous vehicles under adverse weather: a review of traditional and deep learning approaches","volume":"17","author":"Tahir","year":"2024","journal-title":"Algorithms"},{"key":"10.1016\/j.neucom.2026.133613_bib0090","doi-asserted-by":"crossref","DOI":"10.1016\/j.neucom.2026.132726","article-title":"A lightweight framework for robust object detection in adverse weather based on dual-teacher feature alignment","volume":"671","author":"Hu","year":"2026","journal-title":"Neurocomputing"},{"key":"10.1016\/j.neucom.2026.133613_bib0095","first-page":"1","article-title":"MASFNet: multiscale adaptive sampling fusion network for object detection in adverse weather","volume":"63","author":"Liu","year":"2025","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"issue":"1","key":"10.1016\/j.neucom.2026.133613_bib0100","doi-asserted-by":"crossref","first-page":"36","DOI":"10.5573\/IEIESPC.2018.7.1.036","article-title":"Contrast enhancement for low-light image enhancement: a survey","volume":"7","author":"Park","year":"2018","journal-title":"IEIE Trans. Smart Process. Comput."},{"key":"10.1016\/j.neucom.2026.133613_bib0105","doi-asserted-by":"crossref","first-page":"63162","DOI":"10.1109\/ACCESS.2020.2983457","article-title":"Low-light image enhancement based on nonsubsampled shearlet transform","volume":"8","author":"Wang","year":"2020","journal-title":"IEEE Access"},{"issue":"3","key":"10.1016\/j.neucom.2026.133613_bib0110","doi-asserted-by":"crossref","first-page":"451","DOI":"10.1109\/83.557356","article-title":"Properties and performance of a center\/surround retinex","volume":"6","author":"Jobson","year":"1997","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.neucom.2026.133613_bib0115","series-title":"Proceedings of 3rd IEEE International Conference on Image Processing","first-page":"1003","article-title":"Multi-scale retinex for color image enhancement","volume":"vol. 3","author":"Rahman","year":"1996"},{"key":"10.1016\/j.neucom.2026.133613_bib0120","series-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","first-page":"2782","article-title":"A weighted variational model for simultaneous reflectance and illumination estimation","author":"Fu","year":"2016"},{"issue":"6","key":"10.1016\/j.neucom.2026.133613_bib0125","doi-asserted-by":"crossref","first-page":"2828","DOI":"10.1109\/TIP.2018.2810539","article-title":"Structure-revealing low-light image enhancement via robust retinex model","volume":"27","author":"Li","year":"2018","journal-title":"IEEE Trans. Image Process."},{"issue":"2","key":"10.1016\/j.neucom.2026.133613_bib0130","doi-asserted-by":"crossref","first-page":"982","DOI":"10.1109\/TIP.2016.2639450","article-title":"Lime: low-light image enhancement via illumination map estimation","volume":"26","author":"Guo","year":"2016","journal-title":"IEEE Trans. Image Process."},{"issue":"9","key":"10.1016\/j.neucom.2026.133613_bib0135","doi-asserted-by":"crossref","first-page":"3538","DOI":"10.1109\/TIP.2013.2261309","article-title":"Naturalness preserved enhancement algorithm for non-uniform illumination images","volume":"22","author":"Wang","year":"2013","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.neucom.2026.133613_bib0140","series-title":"Proceedings 2014 IEEE International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)","first-page":"235","article-title":"A piecewise-based contrast enhancement framework for low lighting video","author":"Wang","year":"2014"},{"issue":"4","key":"10.1016\/j.neucom.2026.133613_bib0145","first-page":"697","article-title":"A fast image enhancement algorithm based on fusion of different color spaces","volume":"40","author":"Xiao","year":"2014","journal-title":"Acta Autom. Sin."},{"key":"10.1016\/j.neucom.2026.133613_bib0150","doi-asserted-by":"crossref","first-page":"650","DOI":"10.1016\/j.patcog.2016.06.008","article-title":"LLNet: a deep autoencoder approach to natural low-light image enhancement","volume":"61","author":"Lore","year":"2017","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.neucom.2026.133613_bib0155","series-title":"2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018)","first-page":"751","article-title":"GladNet: low-light enhancement network with global awareness","author":"Wang","year":"2018"},{"key":"10.1016\/j.neucom.2026.133613_bib0160","doi-asserted-by":"crossref","first-page":"2340","DOI":"10.1109\/TIP.2021.3051462","article-title":"EnlightenGAN: deep light enhancement without paired supervision","volume":"30","author":"Jiang","year":"2021","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.neucom.2026.133613_bib0165","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"1780","article-title":"Zero-reference deep curve estimation for low-light image enhancement","author":"Guo","year":"2020"},{"key":"10.1016\/j.neucom.2026.133613_bib0170","series-title":"Proceedings of the AAAI Conference on Artificial Intelligence","first-page":"11296","article-title":"Unpaired image enhancement featuring reinforcement-learning-controlled image editing software","volume":"vol. 34","author":"Kosugi","year":"2020"},{"key":"10.1016\/j.neucom.2026.133613_bib0175","series-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","first-page":"3291","article-title":"Learning to see in the dark","author":"Chen","year":"2018"},{"key":"10.1016\/j.neucom.2026.133613_bib0180","series-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision","first-page":"3185","article-title":"Seeing motion in the dark","author":"Chen","year":"2019"},{"key":"10.1016\/j.neucom.2026.133613_bib0185","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"17714","article-title":"Snr-aware low-light image enhancement","author":"Xu","year":"2022"},{"key":"10.1016\/j.neucom.2026.133613_bib0190","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"2281","article-title":"Learning to restore low-light images via decomposition-and-enhancement","author":"Xu","year":"2020"},{"issue":"7","key":"10.1016\/j.neucom.2026.133613_bib0195","doi-asserted-by":"crossref","first-page":"2175","DOI":"10.1007\/s11263-021-01466-8","article-title":"Attention guided low-light image enhancement with a large scale low-light simulation dataset","volume":"129","author":"Lv","year":"2021","journal-title":"Int. J. Comput. Vis."},{"key":"10.1016\/j.neucom.2026.133613_bib0200","series-title":"British Machine Vision Conference 2018, BMVC 2018, Newcastle, UK, September 3\u20136, 2018","first-page":"155","article-title":"Deep retinex decomposition for low-light enhancement","author":"Wei","year":"2018"},{"key":"10.1016\/j.neucom.2026.133613_bib0205","series-title":"Proceedings of the 27th ACM International Conference on Multimedia","first-page":"1632","article-title":"Kindling the darkness: a practical low-light image enhancer","author":"Zhang","year":"2019"},{"key":"10.1016\/j.neucom.2026.133613_bib0210","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"10561","article-title":"Retinex-inspired unrolling with cooperative prior architecture search for low-light image enhancement","author":"Liu","year":"2021"},{"key":"10.1016\/j.neucom.2026.133613_bib0215","doi-asserted-by":"crossref","first-page":"2072","DOI":"10.1109\/TIP.2021.3050850","article-title":"Sparse gradient regularized deep retinex network for robust low-light image enhancement","volume":"30","author":"Yang","year":"2021","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.neucom.2026.133613_bib0220","doi-asserted-by":"crossref","first-page":"95","DOI":"10.1016\/j.cag.2022.04.002","article-title":"Combining attention mechanism and retinex model to enhance low-light images","volume":"104","author":"Wang","year":"2022","journal-title":"Computers & Graphics"},{"key":"10.1016\/j.neucom.2026.133613_bib0225","doi-asserted-by":"crossref","DOI":"10.1016\/j.engappai.2023.107003","article-title":"A semi-supervised network framework for low-light image enhancement","volume":"126","author":"Chen","year":"2023","journal-title":"Eng. Appl. Artif. Intell."},{"key":"10.1016\/j.neucom.2026.133613_bib0230","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"12299","article-title":"Pre-trained image processing transformer","author":"Chen","year":"2021"},{"key":"10.1016\/j.neucom.2026.133613_bib0235","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"17683","article-title":"Uformer: a general U-shaped transformer for image restoration","author":"Wang","year":"2022"},{"key":"10.1016\/j.neucom.2026.133613_bib0240","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"5728","article-title":"Restormer: efficient transformer for high-resolution image restoration","author":"Zamir","year":"2022"},{"key":"10.1016\/j.neucom.2026.133613_bib0245","series-title":"The Tenth International Conference on Learning Representations, ICLR 2022","article-title":"Efficiently modeling long sequences with structured state spaces","author":"Gu","year":"2022"},{"key":"10.1016\/j.neucom.2026.133613_bib0250","author":"Gu"},{"key":"10.1016\/j.neucom.2026.133613_bib0255","first-page":"103031","article-title":"VMamba: visual state space model","volume":"37","author":"Liu","year":"2024","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"10.1016\/j.neucom.2026.133613_bib0260","series-title":"Proceedings of the AAAI Conference on Artificial Intelligence","first-page":"6443","article-title":"EfficientVMamba: atrous selective scan for light weight visual mamba","volume":"vol. 39","author":"Pei","year":"2025"},{"issue":"6","key":"10.1016\/j.neucom.2026.133613_bib0265","doi-asserted-by":"crossref","first-page":"5560","DOI":"10.1109\/TCSVT.2025.3530090","article-title":"VmambaIR: visual state space model for image restoration","volume":"35","author":"Shi","year":"2025","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"10.1016\/j.neucom.2026.133613_bib0270","author":"Chen"},{"key":"10.1016\/j.neucom.2026.133613_bib0275","series-title":"Proceedings of the 32nd ACM International Conference on Multimedia","first-page":"1905","article-title":"FreqMamba: viewing mamba from a frequency perspective for image deraining","author":"Zou","year":"2024"},{"key":"10.1016\/j.neucom.2026.133613_bib0280","series-title":"Proceedings of the Asian Conference on Computer Vision","first-page":"3449","article-title":"Wavelet-based mamba with Fourier adjustment for low-light image enhancement","author":"Tan","year":"2024"},{"key":"10.1016\/j.neucom.2026.133613_bib0285","first-page":"1","article-title":"Encoder-free multiaxis physics-aware fusion network for remote sensing image dehazing","volume":"61","author":"Wen","year":"2023","journal-title":"IEEE Trans. Geosci. Remote. Sens."},{"key":"10.1016\/j.neucom.2026.133613_bib0290","first-page":"1","article-title":"Cross-level interaction and intralevel fusion network for remote sensing image dehazing","volume":"63","author":"Wen","year":"2025","journal-title":"IEEE Trans. Geosci. Remote. Sens."},{"key":"10.1016\/j.neucom.2026.133613_bib0295","doi-asserted-by":"crossref","first-page":"3343","DOI":"10.1109\/TMM.2025.3535316","article-title":"All-in-one weather-degraded image restoration via adaptive degradation-aware self-prompting model","volume":"27","author":"Wen","year":"2025","journal-title":"IEEE Trans. Multim."},{"key":"10.1016\/j.neucom.2026.133613_bib0300","first-page":"1","article-title":"Structure-preserving frequency-regularized text-guided optimal transport for unpaired rain streaks and raindrops removal","author":"Wen","year":"2026","journal-title":"IEEE Trans. Multimed."},{"key":"10.1016\/j.neucom.2026.133613_bib0305","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2024.111033","article-title":"An illumination-guided dual attention vision transformer for low-light image enhancement","volume":"158","author":"Wen","year":"2025","journal-title":"Pattern Recognit."},{"issue":"4","key":"10.1016\/j.neucom.2026.133613_bib0310","first-page":"2058","article-title":"Learning image-adaptive 3D lookup tables for high performance photo enhancement in real-time","volume":"44","author":"Zeng","year":"2020","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.neucom.2026.133613_bib0315","doi-asserted-by":"crossref","first-page":"3461","DOI":"10.1109\/TIP.2021.3062184","article-title":"Band representation-based semi-supervised low-light image enhancement: bridging the gap between signal fidelity and perceptual quality","volume":"30","author":"Yang","year":"2021","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.neucom.2026.133613_bib0320","series-title":"Proceedings of the 28th ACM International Conference on Multimedia","first-page":"2317","article-title":"Integrating semantic segmentation and retinex model for low-light image enhancement","author":"Fan","year":"2020"},{"key":"10.1016\/j.neucom.2026.133613_bib0325","series-title":"CVPR 2011","first-page":"97","article-title":"Learning photographic global tonal adjustment with a database of input\/output image pairs","author":"Bychkovsky","year":"2011"},{"issue":"12","key":"10.1016\/j.neucom.2026.133613_bib0330","doi-asserted-by":"crossref","first-page":"5372","DOI":"10.1109\/TIP.2013.2284059","article-title":"Contrast enhancement based on layered difference representation of 2D histograms","volume":"22","author":"Lee","year":"2013","journal-title":"IEEE Trans. Image Process."},{"issue":"11","key":"10.1016\/j.neucom.2026.133613_bib0335","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 Trans. Image Process."},{"key":"10.1016\/j.neucom.2026.133613_bib0340","article-title":"SN-AM dataset: white blood cancer dataset of B-ALL and MM for stain normalization","volume":"65","author":"Gupta","year":"2020","journal-title":"Med. Image Anal."},{"key":"10.1016\/j.neucom.2026.133613_bib0345","doi-asserted-by":"crossref","DOI":"10.1016\/j.media.2022.102677","article-title":"SegPC-2021: a challenge & dataset on segmentation of multiple myeloma plasma cells from microscopic images","volume":"83","author":"Gupta","year":"2023","journal-title":"Med. Image Anal."}],"container-title":["Neurocomputing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0925231226010106?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0925231226010106?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T19:21:51Z","timestamp":1777576911000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0925231226010106"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7]]},"references-count":70,"alternative-id":["S0925231226010106"],"URL":"https:\/\/doi.org\/10.1016\/j.neucom.2026.133613","relation":{},"ISSN":["0925-2312"],"issn-type":[{"value":"0925-2312","type":"print"}],"subject":[],"published":{"date-parts":[[2026,7]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Integration of KAN with an enhanced multi-scale mamba architecture for low-light image enhancement","name":"articletitle","label":"Article Title"},{"value":"Neurocomputing","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.neucom.2026.133613","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"133613"}}