{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,5]],"date-time":"2026-06-05T14:07:33Z","timestamp":1780668453552,"version":"3.54.1"},"reference-count":58,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2026,3,21]],"date-time":"2026-03-21T00:00:00Z","timestamp":1774051200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,3,21]],"date-time":"2026-03-21T00:00:00Z","timestamp":1774051200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int. J. Mach. Learn. &amp; Cyber."],"published-print":{"date-parts":[[2026,5]]},"DOI":"10.1007\/s13042-025-02953-x","type":"journal-article","created":{"date-parts":[[2026,3,21]],"date-time":"2026-03-21T05:21:51Z","timestamp":1774070511000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Tldiag: a federated learning-based DB-mixer for privacy-preserving and fault diagnosis in transmission lines"],"prefix":"10.1007","volume":"17","author":[{"given":"Chenlong","family":"Mao","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chuanbo","family":"Wen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zidong","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Weibo","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Junjie","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,3,21]]},"reference":[{"issue":"2","key":"2953_CR1","doi-asserted-by":"publisher","first-page":"1064","DOI":"10.1520\/JTE20190107","volume":"49","author":"A Afia","year":"2021","unstructured":"Afia A, Rahmoune C, Benazzouz D, Merainani B, Fedala S (2021) New gear fault diagnosis method based on modwpt and neural network for feature extraction and classification. J Test Eval 49(2):1064\u20131085","journal-title":"J Test Eval"},{"key":"2953_CR2","doi-asserted-by":"crossref","unstructured":"Bao Z, Du J, Zhang W, Wang J, Qiu T, Cao Y (2021) A transformer model-based approach to bearing fault diagnosis, In: International conference of pioneering computer scientists, engineers and educators, Singapore, pp.\u00a065\u201379","DOI":"10.1007\/978-981-16-5940-9_5"},{"key":"2953_CR3","volume":"74","author":"H Chen","year":"2025","unstructured":"Chen H, Wu P, Wen W, Zeng N (2025) DLA-Net: a dynamically learnable attention network for intelligent surface visual inspection of aero-engine blades. IEEE Trans Instrum Meas 74:3532114","journal-title":"IEEE Trans Instrum Meas"},{"key":"2953_CR4","unstructured":"Custodio PM, Putra MAP, Lee J (2023) Transmission line fault using line voltages and currents as features, IEEE Dataport"},{"key":"2953_CR5","doi-asserted-by":"crossref","unstructured":"Custodio PM, Putra MAP, Lee J, Kim D (2024) TLFed: federated learning-based 1D-CNN-LSTM transmission line fault location and classification in smart grids, In: International conference on artificial intelligence in information and communication, Osaka, Japan, pp.\u00a0026\u2013031","DOI":"10.1109\/ICAIIC60209.2024.10463418"},{"issue":"1","key":"2953_CR6","doi-asserted-by":"publisher","first-page":"561","DOI":"10.1109\/TIE.2017.2721922","volume":"65","author":"YQ Chen","year":"2017","unstructured":"Chen YQ, Fink O, Sansavini G (2017) Combined fault location and classification for power transmission lines fault diagnosis with integrated feature extraction. IEEE Trans Ind Electron 65(1):561\u2013569","journal-title":"IEEE Trans Ind Electron"},{"issue":"4","key":"2953_CR7","volume":"3","author":"Z Chen","year":"2024","unstructured":"Chen Z, Zhang L, Tang J, Mao J, Sheng W (2024) Conditional generative adversarial net based feature extraction along with scalable weakly supervised clustering for facial expression classification. Int J Netw Dyn Intell 3(4):100024","journal-title":"Int J Netw Dyn Intell"},{"key":"2953_CR8","unstructured":"Dosovitskiy A, Beyer L, Kolesnikov A, Weissenborn D, Zhai X, Unterthiner T, Dehghan M, Mindere M, Heigold G, Gelly S, Uszkoreit J, Houlsby N (2021) An image is worth 16x16 words: Transformers for image recognition at scale, In: International conference on learning representations"},{"key":"2953_CR9","doi-asserted-by":"publisher","DOI":"10.1109\/TCSS.2025.3548874","author":"J Dou","year":"2025","unstructured":"Dou J, Song Y, Yu H (2025) Hierarchical oversampling based on Cohen\u2019s criterion for imbalanced data with missing information. IEEE Trans Comput Social Syst. https:\/\/doi.org\/10.1109\/TCSS.2025.3548874","journal-title":"IEEE Trans Comput Social Syst"},{"issue":"3","key":"2953_CR10","doi-asserted-by":"publisher","DOI":"10.1117\/1.JRS.15.036516","volume":"15","author":"M Dong","year":"2021","unstructured":"Dong M, Li W, Liang X, Zhang X (2021) MDCNN: multispectral pansharpening based on a multiscale dilated convolutional neural network. J Appl Remote Sens 15(3):036516","journal-title":"J Appl Remote Sens"},{"key":"2953_CR11","doi-asserted-by":"publisher","first-page":"326","DOI":"10.1016\/j.ijepes.2018.05.036","volume":"103","author":"PRN da Silva","year":"2018","unstructured":"da Silva PRN, Gabbar HA, Junior PV, da Costa Junior CT (2018) A new methodology for multiple incipient fault diagnosis in transmission lines using QTA and Na\u00efve Bayes classifier. Int J Electr Power Energy Syst 103:326\u2013346","journal-title":"Int J Electr Power Energy Syst"},{"issue":"11","key":"2953_CR12","doi-asserted-by":"publisher","first-page":"2224","DOI":"10.1080\/00207721.2024.2346760","volume":"55","author":"W Diao","year":"2024","unstructured":"Diao W, He W, Liang K, Tan X (2024) Adaptive impulsive consensus of nonlinear multi-agent systems via a distributed self-triggered strategy. Int J Syst Sci 55(11):2224\u20132238","journal-title":"Int J Syst Sci"},{"issue":"2","key":"2953_CR13","volume":"3","author":"W Ehab","year":"2024","unstructured":"Ehab W, Huang L, Li Y (2024) UNet and variants for medical image segmentation. Int J Netw Dyn Intell 3(2):100009","journal-title":"Int J Netw Dyn Intell"},{"key":"2953_CR14","doi-asserted-by":"publisher","DOI":"10.1016\/j.epsr.2020.106360","volume":"185","author":"VH Ferreira","year":"2020","unstructured":"Ferreira VH, Zanghi R, Fortes Jr MZ, Gomes S, Alves da Silva AP (2020) Probabilistic transmission line fault diagnosis using autonomous neural models. Electric Power Syst Res 185:106360","journal-title":"Electric Power Syst Res"},{"issue":"1","key":"2953_CR15","doi-asserted-by":"publisher","first-page":"2314481","DOI":"10.1080\/21642583.2024.2314481","volume":"12","author":"W Fang","year":"2024","unstructured":"Fang W, Shen B, Pan A, Zou L, Song B (2024) A cooperative stochastic configuration network based on differential evolutionary sparrow search algorithm for prediction. Syst Sci Control Eng 12(1):2314481","journal-title":"Syst Sci Control Eng"},{"key":"2953_CR16","doi-asserted-by":"crossref","unstructured":"Gao F, Zeng Y, Xie Z, Lu Y, Cui T, Xiao M (2024) Converter Transformer fault diagnosis method based on double-weighted loss function and DT-Lightgbm-Gcforest, In: IEEE international conference on DC technologies and systems, Zhuhai, China, pp.\u00a031\u201336","DOI":"10.1109\/DCTS62535.2024.10941078"},{"key":"2953_CR17","first-page":"505","volume":"10","author":"PK Gouda","year":"2015","unstructured":"Gouda PK, Sahoo AK, Hota PK (2015) Optimal power flow including unified power flow controller in a deregulated environment. Int J Appl Eng Res 10:505\u2013522","journal-title":"Int J Appl Eng Res"},{"key":"2953_CR18","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2024.125302","volume":"259","author":"Z Gan","year":"2025","unstructured":"Gan Z, Bai Y, Wu P, Xiong B, Zeng N, Zou F, Li J, Guo F, He D (2025) SGRN: semg-based gesture recognition network with multi-dimensional feature extraction and multi-branch information fusion. Expert Syst Appl 259:125302","journal-title":"Expert Syst Appl"},{"key":"2953_CR19","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2024.102900","volume":"117","author":"J Hu","year":"2025","unstructured":"Hu J, Fan S, Caballero-\u00c1guila R, Zhu M, Zhang G (2025) Distributed fusion filtering for multi-rate nonlinear systems with binary measurements under encryption and decryption scheme. Inf Fusion 117:102900","journal-title":"Inf Fusion"},{"key":"2953_CR20","doi-asserted-by":"publisher","first-page":"1289","DOI":"10.1007\/s10462-021-09993-z","volume":"55","author":"T Huang","year":"2022","unstructured":"Huang T, Zhang Q, Tang X, Zhao S, Lu X (2022) A novel fault diagnosis method based on CNN and LSTM and its application in fault diagnosis for complex systems. Artif Intell Rev 55:1289\u20131315","journal-title":"Artif Intell Rev"},{"issue":"1","key":"2953_CR21","doi-asserted-by":"publisher","DOI":"10.1080\/21642583.2024.2347885","volume":"12","author":"F Jin","year":"2024","unstructured":"Jin F, Ma L, Zhao C, Liu Q (2024) State estimation in networked control systems with a real-time transport protocol. Syst Sci Control Eng 12(1):2347885","journal-title":"Syst Sci Control Eng"},{"issue":"4","key":"2953_CR22","volume":"3","author":"H Jmila","year":"2024","unstructured":"Jmila H, Khedher MI, El-Yacoubi MA (2024) The promise of applying machine learning techniques to network function virtualization. Int J Netw Dyn Intell 3(4):100020","journal-title":"Int J Netw Dyn Intell"},{"issue":"2","key":"2953_CR23","volume":"3","author":"B Li","year":"2024","unstructured":"Li B, Li W (2024) Distillation-based user selection for heterogeneous federated learning. Int J Netw Dyn Intell 3(2):100007","journal-title":"Int J Netw Dyn Intell"},{"key":"2953_CR24","doi-asserted-by":"publisher","DOI":"10.1109\/TETCI.2025.3547854","author":"J Li","year":"2025","unstructured":"Li J, Yuan Y, Luo X (2025) Learning error refinement in stochastic gradient descent-based latent factor analysis via diversified PID controllers. IEEE Trans Emerg Top Comput Intell. https:\/\/doi.org\/10.1109\/TETCI.2025.3547854","journal-title":"IEEE Trans Emerg Top Comput Intell"},{"issue":"1","key":"2953_CR25","doi-asserted-by":"publisher","DOI":"10.1080\/21642583.2023.2269183","volume":"12","author":"L-F Li","year":"2024","unstructured":"Li L-F, Hua Y, Liu Y-H, Huang F-H (2024) Study on fast fractal image compression algorithm based on centroid radius. Syst Sci Control Eng 12(1):2269183","journal-title":"Syst Sci Control Eng"},{"key":"2953_CR26","doi-asserted-by":"publisher","DOI":"10.1109\/TCSI.2025.3563209","author":"Y Long","year":"2025","unstructured":"Long Y, Liu Q, Ding D, Li T (2025) Resilient decentralized frequency regulation for multi-area power systems with electric vehicles under hybrid cyber-attacks. IEEE Trans Circuits Syst I: Regul Papers. https:\/\/doi.org\/10.1109\/TCSI.2025.3563209","journal-title":"IEEE Trans Circuits Syst I: Regul Papers"},{"issue":"7","key":"2953_CR27","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6501\/ad3666","volume":"35","author":"Y Li","year":"2024","unstructured":"Li Y, Jia Z, Liu Z, Shao H, Zhao W, Liu Z, Wang B (2024) Interpretable intelligent fault diagnosis strategy for fixed-wing UAV elevator fault diagnosis based on improved cross entropy loss. Meas Sci Technol 35(7):076110","journal-title":"Meas Sci Technol"},{"key":"2953_CR28","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2024.126032","volume":"266","author":"Y Liu","year":"2025","unstructured":"Liu Y, Zhang Y, Lan R, Cheng C, Wu Z (2025) AWARDistill: adaptive and robust 3D object detection in adverse conditions through knowledge distillation. Expert Syst Appl 266:126032","journal-title":"Expert Syst Appl"},{"issue":"7","key":"2953_CR29","doi-asserted-by":"publisher","first-page":"5150","DOI":"10.1109\/TII.2025.3552652","volume":"21","author":"G Ma","year":"2025","unstructured":"Ma G, Wang Z, Yang Z, Chen R, Liu W, Zhang Y, Yan S (2025) A novel pairwise domain-adaptation-assisted dual-task learning approach to coprediction of robotic machining efficiency and quality in new parameter spaces. IEEE Trans Ind Inform 21(7):5150\u20135159","journal-title":"IEEE Trans Ind Inform"},{"issue":"16","key":"2953_CR30","doi-asserted-by":"publisher","first-page":"3305","DOI":"10.1080\/00207721.2024.2427846","volume":"55","author":"B Qu","year":"2024","unstructured":"Qu B, Peng D, Shen Y, Zou L, Shen B (2024) A survey on recent advances on dynamic state estimation for power systems. Int J Syst Sci 55(16):3305\u20133321","journal-title":"Int J Syst Sci"},{"key":"2953_CR31","doi-asserted-by":"publisher","first-page":"204","DOI":"10.1016\/j.neucom.2017.06.070","volume":"272","author":"S Qian","year":"2018","unstructured":"Qian S, Liu H, Liu C, Wu S, Wong H (2018) Adaptive activation functions in convolutional neural networks. Neurocomputing 272:204\u2013212","journal-title":"Neurocomputing"},{"key":"2953_CR32","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2025.129904","volume":"636","author":"B Song","year":"2025","unstructured":"Song B, Chen J, Liu W, Fang J, Xue Y, Liu X (2025) YOLO-ELWNet: a lightweight object detection network. Neurocomputing 636:129904","journal-title":"Neurocomputing"},{"key":"2953_CR33","doi-asserted-by":"publisher","first-page":"556","DOI":"10.1016\/j.neucom.2022.05.022","volume":"500","author":"FM Shakiba","year":"2022","unstructured":"Shakiba FM, Shojaee M, Azizi SM, Zhou M (2022) Generalized fault diagnosis method of transmission lines using transfer learning technique. Neurocomputing 500:556\u2013566","journal-title":"Neurocomputing"},{"key":"2953_CR34","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2025.130181","volume":"638","author":"L Shao","year":"2025","unstructured":"Shao L, Zhang Y, Zheng X, Yang R, Zhou W (2025) SOH estimation of lithium-ion batteries subject to partly missing data: a Kolmogorov-Arnold-Linformer model. Neurocomputing 638:130181","journal-title":"Neurocomputing"},{"issue":"14","key":"2953_CR35","doi-asserted-by":"publisher","first-page":"3017","DOI":"10.1080\/00207721.2024.2364294","volume":"55","author":"R Sakthivel","year":"2024","unstructured":"Sakthivel R, Parivallal A, Kwon O-M, Manickavalli S (2024) Observer-based leader-following cluster consensus for positive multi-agent systems with input time-varying delay. Int J Syst Sci 55(14):3017\u20133031","journal-title":"Int J Syst Sci"},{"key":"2953_CR36","first-page":"1","volume":"72","author":"S Sun","year":"2023","unstructured":"Sun S, Huang H, Peng T, Shen C, Wang D (2023) A data privacy protection diagnosis framework for multiple machines vibration signals based on a swarm learning algorithm. IEEE Trans Instrum Meas 72:1\u20139","journal-title":"IEEE Trans Instrum Meas"},{"key":"2953_CR37","first-page":"24261","volume":"34","author":"IO Tolstikhin","year":"2021","unstructured":"Tolstikhin IO, Houlsby N, Kolesnikov A, Beyer L, Zhai X, Unterthiner T, Yung J, Steiner A, Keysers D, Uszkoreit J, Lucic M, Dosovitskiy A (2021) Mlp-mixer: An all-mlp architecture for vision. Adv Neural Inf Process Syst 34:24261\u201324272","journal-title":"Adv Neural Inf Process Syst"},{"issue":"2","key":"2953_CR38","doi-asserted-by":"publisher","first-page":"606","DOI":"10.1109\/TFUZZ.2024.3487005","volume":"33","author":"F Wei","year":"2025","unstructured":"Wei F, Wan X, Zhang C-K, Wang L (2025) A terminal constraint set-dependent mixed time\/event-triggered approach to multistep fuzzy MPC. IEEE Trans Fuzzy Syst 33(2):606\u2013620","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"2953_CR39","doi-asserted-by":"publisher","first-page":"5163","DOI":"10.1007\/s12652-020-02466-1","volume":"13","author":"M Wang","year":"2022","unstructured":"Wang M, Chai W, Xu C, Dong L, Li Y, Wang P, Qin X (2022) An edge computing method using a novel mode component for power transmission line fault diagnosis in distribution network. J Ambient Intell Humaniz Comput 13:5163\u20135176","journal-title":"J Ambient Intell Humaniz Comput"},{"issue":"1","key":"2953_CR40","doi-asserted-by":"publisher","DOI":"10.1080\/21642583.2024.2313865","volume":"12","author":"R Wang","year":"2024","unstructured":"Wang R, Liang J (2024) The effect of multiscale parameters on the spiking properties of the morphological neuron with excitatory autapse. Syst Sci Control Eng 12(1):2313865","journal-title":"Syst Sci Control Eng"},{"issue":"11","key":"2953_CR41","doi-asserted-by":"publisher","first-page":"2269","DOI":"10.1080\/00207721.2024.2343734","volume":"55","author":"W Wang","year":"2024","unstructured":"Wang W, Ma L, Rui Q, Gao C (2024) A survey on privacy-preserving control and filtering of networked control systems. Int J Syst Sci 55(11):2269\u20132288","journal-title":"Int J Syst Sci"},{"issue":"1","key":"2953_CR42","doi-asserted-by":"publisher","DOI":"10.1080\/21642583.2024.2362169","volume":"12","author":"Y Wang","year":"2024","unstructured":"Wang Y, Wen C, Wu X (2024) Fault detection and isolation of floating wind turbine pitch system based on Kalman filter and multi-attention 1DCNN. Syst Sci Control Eng 12(1):2362169","journal-title":"Syst Sci Control Eng"},{"issue":"1","key":"2953_CR43","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6501\/acf77d","volume":"35","author":"X Xue","year":"2023","unstructured":"Xue X, Zhao X, Zhang Y, Ma J, Bu C, Peng P (2023) Federated transfer learning with consensus knowledge distillation for intelligent fault diagnosis under data privacy preserving. Meas Sci Technol 35(1):015108","journal-title":"Meas Sci Technol"},{"issue":"3","key":"2953_CR44","volume":"3","author":"Y Xue","year":"2024","unstructured":"Xue Y, Li M, Arabnejad H, Suleimenova D, Jahani A, Geiger BC, Boesjes F, Anagnostou A, Taylor SJE, Liu X, Groen D (2024) Many-objective simulation optimization for camp location problems in humanitarian logistics. Int J Netw Dyn Intell 3(3):100017","journal-title":"Int J Netw Dyn Intell"},{"key":"2953_CR45","first-page":"1","volume":"73","author":"Y Xu","year":"2024","unstructured":"Xu Y, Li S, Yan X, He J, Ni Q, Sun Y, Wang Y (2024) Multiattention-based feature aggregation convolutional networks with dual focal loss for fault diagnosis of rotating machinery under data imbalance conditions. IEEE Trans Instrum Meas 73:1\u201311","journal-title":"IEEE Trans Instrum Meas"},{"key":"2953_CR46","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2025.129798","volume":"634","author":"L Yu","year":"2025","unstructured":"Yu L, Ding J, Cui Y, Liu Y, Wang Y (2025) Data-driven stabilization for linear sampled-data systems with unknown parameters: a pure data analytics perspective. Neurocomputing 634:129798","journal-title":"Neurocomputing"},{"key":"2953_CR47","doi-asserted-by":"publisher","DOI":"10.1016\/j.atmosres.2022.106500","volume":"281","author":"X You","year":"2023","unstructured":"You X, Liang Z, Wang Y, Zhang H (2023) A study on loss function against data imbalance in deep learning correction of precipitation forecasts. Atmos Res 281:106500","journal-title":"Atmos Res"},{"issue":"4","key":"2953_CR48","doi-asserted-by":"publisher","first-page":"850","DOI":"10.1080\/00207721.2024.2393688","volume":"56","author":"Y Yang","year":"2025","unstructured":"Yang Y, Fan S, Meng X, Jiang B (2025) Neural-based event-triggered observer design for adaptive sliding mode control of nonlinear networked control systems. Int J Syst Sci 56(4):850\u2013865","journal-title":"Int J Syst Sci"},{"issue":"8","key":"2953_CR49","doi-asserted-by":"publisher","first-page":"5730","DOI":"10.1109\/TSMC.2025.3572738","volume":"55","author":"Y Yang","year":"2025","unstructured":"Yang Y, Hu L, Li G, Li D, Hu P, Luo X (2025) Link-based attributed graph clustering via approximate generative Bayesian learning. IEEE Trans Syst Man Cybern Syst 55(8):5730\u20135743","journal-title":"IEEE Trans Syst Man Cybern Syst"},{"issue":"6","key":"2953_CR50","doi-asserted-by":"publisher","first-page":"1246","DOI":"10.1109\/JAS.2024.125055","volume":"12","author":"Y Yuan","year":"2025","unstructured":"Yuan Y, Lu S, Luo X (2025) A proportional integral controller-enhanced non-negative latent factor analysis model. IEEE\/CAA J Autom Sinica 12(6):1246\u20131259","journal-title":"IEEE\/CAA J Autom Sinica"},{"issue":"12","key":"2953_CR51","doi-asserted-by":"publisher","first-page":"11675","DOI":"10.1109\/TII.2023.3249904","volume":"19","author":"J Zhang","year":"2023","unstructured":"Zhang J, Wang Y, Chen L, Liu J, Zhang S, Pan Z, Wang Z, Tang Z, Guo Y (2023) Dual-branch TransV-Net for 3-D echocardiography segmentation. IEEE Trans Ind Inform 19(12):11675\u201311686","journal-title":"IEEE Trans Ind Inform"},{"issue":"1","key":"2953_CR52","doi-asserted-by":"publisher","first-page":"430","DOI":"10.1109\/TMECH.2021.3065522","volume":"27","author":"W Zhang","year":"2022","unstructured":"Zhang W, Li X (2022) Federated transfer learning for intelligent fault diagnostics using deep adversarial networks with data privacy. IEEE ASME Trans Mechatron 27(1):430\u2013439","journal-title":"IEEE ASME Trans Mechatron"},{"key":"2953_CR53","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2019.107377","volume":"152","author":"W Zhang","year":"2020","unstructured":"Zhang W, Li X, Jia X, Ma H, Luo Z, Li X (2020) Machinery fault diagnosis with imbalanced data using deep generative adversarial networks. Measurement 152:107377","journal-title":"Measurement"},{"key":"2953_CR54","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2025.3563945","author":"Y Zhang","year":"2025","unstructured":"Zhang Y, Guan R, Li L, Yang R, Yue Y, Lim EG (2025) RadarODE: an ODE-embedded deep learning model for contactless ECG reconstruction from millimeter-wave radar. IEEE Trans Mob Comput. https:\/\/doi.org\/10.1109\/TMC.2025.3563945","journal-title":"IEEE Trans Mob Comput"},{"key":"2953_CR55","first-page":"1","volume":"73","author":"Y Zhang","year":"2024","unstructured":"Zhang Y, Lan R, Li X, Fang J, Ping Z, Liu W, Wang Z (2024) Class imbalance wafer defect pattern recognition based on shared-database decentralized federated learning framework. IEEE Trans Instrum Meas 73:1\u201317","journal-title":"IEEE Trans Instrum Meas"},{"key":"2953_CR56","doi-asserted-by":"crossref","unstructured":"Zhang Y, Togneri R, Huang D (2024) A unified loss function to tackle inter-class and intra-class data imbalance in sound event detection, In: ICASSP 2024 - 2024 IEEE international conference on acoustics, speech and signal processing (ICASSP), Seoul, Korea, pp.\u00a0996\u20131000","DOI":"10.1109\/ICASSP48485.2024.10447675"},{"key":"2953_CR57","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2024.109806","volume":"229","author":"Z Zhou","year":"2025","unstructured":"Zhou Z, Chen W (2025) Entropy-weighted manifold-adjusted transfer learning for cross-condition fault diagnosis with imbalanced and missing labels. Signal Process 229:109806","journal-title":"Signal Process"},{"key":"2953_CR58","doi-asserted-by":"publisher","first-page":"15904","DOI":"10.1109\/TASE.2025.3573813","volume":"22","author":"Z Zhou","year":"2025","unstructured":"Zhou Z, Feng X, Pan F, Geng H (2025) Receding horizon control for UAV formation reconfiguration: an enhanced marine predators strategy. IEEE Trans Autom Sci Eng 22:15904\u201315915","journal-title":"IEEE Trans Autom Sci Eng"}],"container-title":["International Journal of Machine Learning and Cybernetics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-025-02953-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s13042-025-02953-x","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-025-02953-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,5]],"date-time":"2026-06-05T13:08:51Z","timestamp":1780664931000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s13042-025-02953-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,3,21]]},"references-count":58,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2026,5]]}},"alternative-id":["2953"],"URL":"https:\/\/doi.org\/10.1007\/s13042-025-02953-x","relation":{},"ISSN":["1868-8071","1868-808X"],"issn-type":[{"value":"1868-8071","type":"print"},{"value":"1868-808X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,3,21]]},"assertion":[{"value":"2 July 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 October 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 March 2026","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no Conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"This article contains no studies with human participants or animals performed by the authors.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}}],"article-number":"212"}}