{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,19]],"date-time":"2026-05-19T12:08:34Z","timestamp":1779192514611,"version":"3.51.4"},"reference-count":69,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100013804","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100013804","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Information Fusion"],"published-print":{"date-parts":[[2026,10]]},"DOI":"10.1016\/j.inffus.2026.104371","type":"journal-article","created":{"date-parts":[[2026,4,11]],"date-time":"2026-04-11T08:34:00Z","timestamp":1775896440000},"page":"104371","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Diff-AgentDOA: Diffusion-agent model for synthetic data generation in shallow-water target direction of arrival estimation"],"prefix":"10.1016","volume":"134","author":[{"given":"Jiawen","family":"He","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bin","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenxu","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peishun","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liang","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6186-561X","authenticated-orcid":false,"given":"Ruichun","family":"Tang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hui","family":"Yu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"key":"10.1016\/j.inffus.2026.104371_bib0001","doi-asserted-by":"crossref","first-page":"12641","DOI":"10.1109\/JIOT.2021.3137882","article-title":"Frequency-diversity-based underwater acoustic passive localization","volume":"14","author":"Cao","year":"2022","journal-title":"IEEe Internet. Things. J."},{"key":"10.1016\/j.inffus.2026.104371_bib0002","doi-asserted-by":"crossref","first-page":"3090","DOI":"10.1109\/TSP.2022.3173731","article-title":"A semi-blind method for localization of underwater acoustic sources","volume":"70","author":"Weiss","year":"2022","journal-title":"IEEe Trans. Signal. Process."},{"key":"10.1016\/j.inffus.2026.104371_bib0003","article-title":"Maximum-likelihood direction of arrival estimation under intermittent jamming[J]","volume":"113","author":"Akdemir","year":"2021","journal-title":"Digit. Signal. Process."},{"key":"10.1016\/j.inffus.2026.104371_bib0004","first-page":"1","article-title":"Underwater acoustic signal denoising algorithms: a survey of the state of the art","volume":"74","author":"Gao","year":"2025","journal-title":"IEEe Trans. Instrum. Meas."},{"key":"10.1016\/j.inffus.2026.104371_bib0005","doi-asserted-by":"crossref","DOI":"10.1016\/j.inffus.2025.103797","article-title":"A novel underwater target tracking method in UASNs via collaborative deep reinforcement learning","volume":"127","author":"Zheng","year":"2026","journal-title":"Inf. Fusion."},{"key":"10.1016\/j.inffus.2026.104371_bib0006","first-page":"4097","article-title":"Conventional beamforming techniques","volume":"126","author":"Benesty","year":"2008","journal-title":"Microphone Array Signal Process."},{"key":"10.1016\/j.inffus.2026.104371_bib0007","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1109\/53.665","article-title":"Beamforming: a versatile approach to spatial filtering","volume":"5","author":"Van Veen","year":"1988","journal-title":"IEEE ASSP Mag."},{"key":"10.1016\/j.inffus.2026.104371_bib0008","doi-asserted-by":"crossref","first-page":"276","DOI":"10.1109\/TAP.1986.1143830","article-title":"Multiple emitter location and signal parameter estimation. Antennas and propagation","volume":"34","author":"Schmidt","year":"1986","journal-title":"IEEe Trans. Antennas. Propag."},{"key":"10.1016\/j.inffus.2026.104371_bib0009","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2021.108321","article-title":"A hybrid model of stacked autoencoder and modified particle swarm optimization for multivariate chaotic time series forecasting","volume":"116","author":"Xu","year":"2022","journal-title":"Appl. Soft. Comput."},{"key":"10.1016\/j.inffus.2026.104371_bib0010","doi-asserted-by":"crossref","DOI":"10.1016\/j.oceaneng.2022.112595","article-title":"A fault diagnosis method with multi-source data fusion based on hierarchical attention for auv","volume":"266","author":"Xia","year":"2022","journal-title":"Ocean Eng."},{"key":"10.1016\/j.inffus.2026.104371_bib0011","doi-asserted-by":"crossref","first-page":"681","DOI":"10.1121\/10.0035577","article-title":"Enhancing feature-aided data association tracking in passive sonar arrays: an advanced siamese network approach","volume":"157","author":"Wang","year":"2025","journal-title":"J. Acoust. Soc. Am."},{"issue":"3","key":"10.1016\/j.inffus.2026.104371_bib0012","first-page":"100019","article-title":"Variance-constrained H\u221e state estimation for time-varying delayed neural networks with random access protocol and sensor failures,Int","volume":"4","author":"Gao","year":"2025","journal-title":"J. Netw. Dyn. Intell."},{"key":"10.1016\/j.inffus.2026.104371_bib0013","doi-asserted-by":"crossref","DOI":"10.1016\/j.oceaneng.2024.118062","article-title":"Single-hydrophone-based passive localization for vertically moving targets in shallow watet","volume":"306","author":"Zhao","year":"2024","journal-title":"Ocean Eng."},{"key":"10.1016\/j.inffus.2026.104371_bib0014","doi-asserted-by":"crossref","DOI":"10.1016\/j.artint.2023.104064","article-title":"An attention model for the formation of collectives in real-world domains","volume":"328","author":"Fenoy","year":"2024","journal-title":"Artif. Intell."},{"key":"10.1016\/j.inffus.2026.104371_bib0015","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2023.111050","article-title":"Short-term wind power forecasting based on multivariate\/multi-step lstm with temporal feature attention mechanism","volume":"150","author":"Liu","year":"2024","journal-title":"Appl. Soft. Comput."},{"key":"10.1016\/j.inffus.2026.104371_bib0016","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2024.111787","article-title":"Multi-scale feature enhanced spatio-temporal learning for traffic flow forecasting","volume":"294","author":"Du","year":"2024","journal-title":"Knowl. Based. Syst."},{"key":"10.1016\/j.inffus.2026.104371_bib0017","doi-asserted-by":"crossref","DOI":"10.1016\/j.istruc.2024.106602","article-title":"Structural acceleration response reconstruction based on bilstm network and multihead attention mechanism","volume":"64","author":"Wang","year":"2024","journal-title":"Structures"},{"key":"10.1016\/j.inffus.2026.104371_bib0018","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2024.123917","article-title":"Relation guided and attention enhanced multi-head selection for relational facts extraction","volume":"250","author":"Zeng","year":"2024","journal-title":"Expert. Syst. Appl."},{"key":"10.1016\/j.inffus.2026.104371_bib0019","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1016\/j.neucom.2023.03.042","article-title":"Adaptive regularized warped gradient descent enhances model generalization and meta-learning for few-shot learning","volume":"537","author":"Rao","year":"2023","journal-title":"Neurocomputing"},{"key":"10.1016\/j.inffus.2026.104371_bib0020","series-title":"2022 International Conference on Platform Technology and Service (PlatCon)","first-page":"75","article-title":"Dialogue State tracking with zero-shot and few-shot learning for generalization: a review","author":"Kim","year":"2022"},{"issue":"4","key":"10.1016\/j.inffus.2026.104371_bib0021","doi-asserted-by":"crossref","first-page":"2349","DOI":"10.1121\/10.0021873","article-title":"Closed-form multiple source direction-of-arrival estimator under reverberant environments","volume":"154","author":"Hu","year":"2023","journal-title":"J. Acoust. Soc. Am."},{"key":"10.1016\/j.inffus.2026.104371_bib0064","doi-asserted-by":"crossref","unstructured":"J. Benesty, J. Chen, Y. Huang. Conventional beamforming techniques[J. Microphone array signal processing, (2008). http:\/\/dx.doi.org\/10.1121\/1.3124775.","DOI":"10.1121\/1.3124775"},{"issue":"2","key":"10.1016\/j.inffus.2026.104371_bib0065","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1109\/53.665","article-title":"Beamforming: a versatile approach to spatial filtering","volume":"5","author":"Veen","year":"1988","journal-title":"IEEE ASSP Mag."},{"issue":"8","key":"10.1016\/j.inffus.2026.104371_bib0066","doi-asserted-by":"crossref","first-page":"1408","DOI":"10.1109\/PROC.1969.7278","article-title":"High-resolution frequency-wavenumber spectrum analysis","volume":"57","author":"Capon","year":"1969","journal-title":"Proc. IEEE"},{"key":"10.1016\/j.inffus.2026.104371_bib0069","first-page":"984","article-title":"Esprit-estimation of signal parameters via rotational invariance techniques [J]","volume":"37","author":"Roy","year":"2002","journal-title":"Int. Soc. Opt. Photon."},{"key":"10.1016\/j.inffus.2026.104371_bib0022","doi-asserted-by":"crossref","DOI":"10.3389\/fmars.2022.1027830","article-title":"Deep learning-based DOA estimation using CRNN for underwater acoustic arrays","volume":"9","author":"Li","year":"2022","journal-title":"Front. Mar. Sci."},{"key":"10.1016\/j.inffus.2026.104371_bib0023","unstructured":"D. Lei and H. Dong. Bellhop-A modeling approach to sound propagation in the ocean. (2014)."},{"key":"10.1016\/j.inffus.2026.104371_bib0024","unstructured":"Y. Zhang, K. Gong, K. Zhang, H. Li, Y. Qiao, W. Ouyang, X. Yue, Meta-transformer: a unified framework for multimodal learning. (2023) 10802. arXiv preprint arXiv:2307.10802."},{"key":"10.1016\/j.inffus.2026.104371_bib0027","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2025.128895","article-title":"Flexid-fuse: flexible number of inputs multimodal medical image fusion based on diffusion model","volume":"296","author":"Xu","year":"2026","journal-title":"Expert. Syst. Appl."},{"key":"10.1016\/j.inffus.2026.104371_bib0028","doi-asserted-by":"crossref","DOI":"10.1016\/j.bspc.2025.108139","article-title":"T-cadiff: conditional guidance based diffusion model for medical image segmentation","volume":"110","author":"Yang","year":"2025","journal-title":"Biomed. Signal. Process. Control"},{"key":"10.1016\/j.inffus.2026.104371_bib0029","article-title":"Diffusion model for medical image denoising, reconstruction and translation","author":"Wang","year":"2025","journal-title":"Comput. Med. Imaging Graph."},{"key":"10.1016\/j.inffus.2026.104371_bib0030","doi-asserted-by":"crossref","DOI":"10.1016\/j.trb.2024.103128","article-title":"A novel data fusion method to leverage passively-collected mobility data in generating spatially-heterogeneous synthetic population","volume":"191","author":"Vo","year":"2025","journal-title":"Transp. Res. B"},{"key":"10.1016\/j.inffus.2026.104371_bib0025","first-page":"28","article-title":"Generative adversarial networks for synthetic data generation in deep learning applications","volume":"1","author":"Keskes","year":"2026","journal-title":"J. Artif. Intell. Res. Innov."},{"key":"10.1016\/j.inffus.2026.104371_bib0026","author":"Shi"},{"key":"10.1016\/j.inffus.2026.104371_bib0031","doi-asserted-by":"crossref","DOI":"10.1016\/j.ijmedinf.2025.105903","article-title":"A systematic review of generative ai approaches for medical image enhancement: comparing gans, transformers, and diffusion models","volume":"199","author":"Oulmalme","year":"2025","journal-title":"Int J Med Inf."},{"key":"10.1016\/j.inffus.2026.104371_bib0032","doi-asserted-by":"crossref","DOI":"10.1016\/j.compag.2025.110130","article-title":"Diffusion model-based image generative method for quality monitoring of direct grain harvesting","volume":"233","author":"Zhang","year":"2025","journal-title":"Comput. Electron. Agric."},{"key":"10.1016\/j.inffus.2026.104371_bib0033","doi-asserted-by":"crossref","DOI":"10.1016\/j.inffus.2025.103451","article-title":"Diffushield: flexible privacy-preserving synthetic face generation via generative diffusion model","volume":"125","author":"Wang","year":"2026","journal-title":"Inf. Fusion."},{"key":"10.1016\/j.inffus.2026.104371_bib0034","doi-asserted-by":"crossref","DOI":"10.1016\/j.aei.2024.102614","article-title":"Automated fire risk assessment and mitigation in building blueprints using computer vision and deep generative models","volume":"62","author":"Chen","year":"2024","journal-title":"Adv. Eng. Inform."},{"key":"10.1016\/j.inffus.2026.104371_bib0070","series-title":"International Conference on Learning Representations","first-page":"1","article-title":"Unsupervised representation learning with deep convolutional generative adversarial networks","author":"Radford","year":"2016"},{"key":"10.1016\/j.inffus.2026.104371_bib0035","first-page":"6840","article-title":"Denoising diffusion probabilistic models","volume":"33","author":"Ho","year":"2020"},{"key":"10.1016\/j.inffus.2026.104371_bib0036","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","first-page":"10684","article-title":"High-resolution image synthesis with latent diffusion models","author":"Rombach","year":"2022"},{"key":"10.1016\/j.inffus.2026.104371_bib0037","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","first-page":"1900","article-title":"Uncovering the disentanglement capability in text-to-image diffusion models","author":"Wu","year":"2023"},{"key":"10.1016\/j.inffus.2026.104371_bib0038","series-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision (ICCV)","first-page":"4195","article-title":"Scalable diffusion models with transformers","author":"Peebles","year":"2023"},{"key":"10.1016\/j.inffus.2026.104371_bib0071","series-title":"NIPS\u201917: Proceedings of the 31st International Conference on Neural Information Processing Systems","first-page":"6000","article-title":"Attention is all you need","author":"Vaswani","year":"2017"},{"key":"10.1016\/j.inffus.2026.104371_bib0039","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2023.120068","article-title":"FDLR-Net: a feature decoupling and localization refinement network for object detection in remote sensing images","volume":"225","author":"Xiao","year":"2023","journal-title":"Expert. Syst. Appl."},{"key":"10.1016\/j.inffus.2026.104371_bib0040","doi-asserted-by":"crossref","DOI":"10.1016\/j.inffus.2024.102843","article-title":"A multimodal data generation method for imbalanced classification with dual-discriminator constrained diffusion model and adaptive sample selection strategy","volume":"117","author":"Li","year":"2025","journal-title":"Inf. Fusion."},{"key":"10.1016\/j.inffus.2026.104371_bib0041","doi-asserted-by":"crossref","DOI":"10.1016\/j.inffus.2023.102158","article-title":"Diffusion model with disentangled modulations for sharpening multispectral and hyperspectral images","volume":"104","author":"Cao","year":"2024","journal-title":"Inf. Fusion."},{"key":"10.1016\/j.inffus.2026.104371_bib0042","doi-asserted-by":"crossref","DOI":"10.1016\/j.inffus.2025.103365","article-title":"Underwater sequential images enhancement via diffusion and physics priors fusion","volume":"124","author":"Hu","year":"2025","journal-title":"Inf. Fusion."},{"key":"10.1016\/j.inffus.2026.104371_bib0043","series-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision (ICCV)","first-page":"16010","article-title":"Physdiff: physics-guided human motion diffusion model","author":"Yuan","year":"2023"},{"key":"10.1016\/j.inffus.2026.104371_bib0044","series-title":"Advances in Neural Information Processing Systems","first-page":"61888","article-title":"Solving inverse physics problems with score matching","volume":"36","author":"Holzschuh","year":"2023"},{"key":"10.1016\/j.inffus.2026.104371_bib0045","article-title":"Physics-informed diffusion models","author":"Bastek","year":"2025","journal-title":"Thirteen. Int. Conf. Learn. Represent."},{"key":"10.1016\/j.inffus.2026.104371_bib0046","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1016\/j.chaos.2015.09.023","article-title":"A new nonlinear blind source separation method with chaos indicators for decoupling diagnosis of hybrid failures: a marine propulsion gearbox case with a large speed variation","volume":"89","author":"Li","year":"2016","journal-title":"Chaos Solit. Fract."},{"key":"10.1016\/j.inffus.2026.104371_bib0047","doi-asserted-by":"crossref","DOI":"10.1016\/j.engappai.2023.106686","article-title":"Orientation-aware ship detection via a rotation feature decoupling supported deep learning approach","volume":"125","author":"Chen","year":"2023","journal-title":"Eng. Appl. Artif. Intell."},{"key":"10.1016\/j.inffus.2026.104371_bib0048","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2023.120068","article-title":"FDLR-Net: a feature decoupling and localization refinement network for object detection in remote sensing images","volume":"225","author":"Xiao","year":"2023","journal-title":"Expert. Syst. Appl."},{"key":"10.1016\/j.inffus.2026.104371_bib0049","doi-asserted-by":"crossref","first-page":"89","DOI":"10.53106\/160792642023012401009","article-title":"Decoupling temporal convolutional networks model in sound event detection and localization","volume":"24","author":"Song","year":"2023","journal-title":"J. Internet Technol."},{"key":"10.1016\/j.inffus.2026.104371_bib0050","doi-asserted-by":"crossref","DOI":"10.1016\/j.inffus.2024.102309","article-title":"Reliable trajectory prediction in scene fusion based on spatio-temporal structural causal model","volume":"107","author":"Liu","year":"2024","journal-title":"Inf. Fusion."},{"key":"10.1016\/j.inffus.2026.104371_bib0051","first-page":"13646","article-title":"Image content generation with causal reasoning","volume":"38","author":"Li","year":"2024","journal-title":"Proc. AAAI. Conf. Artif. Intell."},{"key":"10.1016\/j.inffus.2026.104371_bib0052","first-page":"1","article-title":"An explainable attention network for fine-grained ship classification using remote-sensing images","volume":"60","author":"Xiong","year":"2022","journal-title":"IEEe Trans. Geosci. Remote Sens."},{"key":"10.1016\/j.inffus.2026.104371_bib0053","first-page":"1","article-title":"Causal adversarial autoencoder for disentangled SAR image representation and few-shot target recognition","volume":"61","author":"Guo","year":"2023","journal-title":"IEEe Trans. Geosci. Remote Sens."},{"key":"10.1016\/j.inffus.2026.104371_bib0054","first-page":"1","article-title":"A novel causal inference-guided feature enhancement framework for PolSAR image classification","volume":"62","author":"Dong","year":"2024","journal-title":"IEEe Trans. Geosci. Remote Sens."},{"key":"10.1016\/j.inffus.2026.104371_bib0055","first-page":"1","article-title":"Texture-aware causal feature extraction network for multimodal remote sensing data classification","volume":"62","author":"Xu","year":"2024","journal-title":"IEEe Trans. Geosci. Remote Sens."},{"key":"10.1016\/j.inffus.2026.104371_bib0058","series-title":"International Conference on Learning Representations","article-title":"Score-based generative modeling through stochastic differential equations","author":"Song","year":"2021"},{"key":"10.1016\/j.inffus.2026.104371_bib0061","series-title":"NeurIPS 2021 Workshop on Deep Generative Models and Downstream Applications","first-page":"1","article-title":"Classifier-free diffusion guidance","author":"Ho","year":"2021"},{"issue":"5","key":"10.1016\/j.inffus.2026.104371_bib0062","doi-asserted-by":"crossref","first-page":"3410","DOI":"10.1121\/10.0026026","article-title":"Learning data distribution of three-dimensional ocean sound speed fields via diffusion models","volume":"155","author":"Li","year":"2024","journal-title":"J. Acoust. Soc. Am."},{"key":"10.1016\/j.inffus.2026.104371_bib0063","series-title":"The Thirteenth International Conference on Learning Representations","first-page":"1","article-title":"Physics-informed diffusion models","author":"Bastek","year":"2025"},{"key":"10.1016\/j.inffus.2026.104371_bib0067","doi-asserted-by":"crossref","DOI":"10.1016\/j.engappai.2023.105831","article-title":"Ensemble deep random vector functional link for self-supervised direction-of-arrival estimation","volume":"120","author":"He","year":"2023","journal-title":"Eng. Appl. Artif. Intell."},{"key":"10.1016\/j.inffus.2026.104371_bib0068","doi-asserted-by":"crossref","DOI":"10.1016\/j.measurement.2025.117330","article-title":"Temporal-spatial two-dimensional sparse deconvolution beamforming for wideband underwater acoustic multipath signals","volume":"251","author":"Tao","year":"2025","journal-title":"Measurement"},{"key":"10.1016\/j.inffus.2026.104371_bib0059","first-page":"1","article-title":"A novel causal inference-guided feature enhancement framework for PolSAR image classification","volume":"62","author":"Dong","year":"2024","journal-title":"IEEe Trans. Geosci. Remote Sens."},{"key":"10.1016\/j.inffus.2026.104371_bib0060","unstructured":"N. Kalibhat, K. Narang, H. Firooz, M. Sanjabi, S. Feizi, Measuring self-supervised representation quality for downstream classification using discriminative features, (2022), arXiv:2203.01881."}],"container-title":["Information Fusion"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1566253526002502?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1566253526002502?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,5,19]],"date-time":"2026-05-19T11:42:04Z","timestamp":1779190924000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1566253526002502"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,10]]},"references-count":69,"alternative-id":["S1566253526002502"],"URL":"https:\/\/doi.org\/10.1016\/j.inffus.2026.104371","relation":{},"ISSN":["1566-2535"],"issn-type":[{"value":"1566-2535","type":"print"}],"subject":[],"published":{"date-parts":[[2026,10]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Diff-AgentDOA: Diffusion-agent model for synthetic data generation in shallow-water target direction of arrival estimation","name":"articletitle","label":"Article Title"},{"value":"Information Fusion","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.inffus.2026.104371","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":"104371"}}