{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,24]],"date-time":"2026-04-24T04:52:34Z","timestamp":1777006354384,"version":"3.51.4"},"reference-count":47,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2026,4,16]],"date-time":"2026-04-16T00:00:00Z","timestamp":1776297600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Fundamental Research Funds for the Central","award":["QNXM20250031"],"award-info":[{"award-number":["QNXM20250031"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>In the Industrial Internet of Things (IIoT), vision-based industrial detection technology is crucial in the production process and can be used in many smart manufacturing applications, such as automated production control and Non-Destructive Evaluation (NDE). To enable timely and accurate decision-making, the network must transmit product status information to the server under stringent requirements of ultra-reliability and low latency. However, traditional pixel-centric industrial image transmission consumes additional bandwidth, and existing deep learning-based semantic communication systems rely on costly manual annotations. To overcome these limitations, this paper proposes a novel object-centric semantic communication framework based on improved slot attention for Multiple-Input Multiple-Output (MIMO) transmission in a 6G smart manufacturing scenario. First, we propose an improved slot attention method based on unsupervised learning for real-world manufacturing image datasets. The proposed method decouples complex industrial images into different object instances, each corresponding to an independent semantic component slot, effectively isolating task-related visual targets from redundant backgrounds. Furthermore, we propose a priority-based semantic transmission strategy. By quantifying the task-relevant importance of each semantic slot and jointly matching MIMO sub-channels, our method optimizes industrial image transmission streams, ensuring the reliable transmission of the important semantic information. Extensive simulation results demonstrate that the proposed framework significantly enhances communication transmission efficiency. Even under constrained bandwidth ratios and a low Signal-to-Noise Ratio (SNR), our framework achieves superior visual reconstruction quality and improves the Peak Signal-to-Noise Ratio (PSNR) by 4.25 dB compared to existing benchmarks.<\/jats:p>","DOI":"10.3390\/s26082456","type":"journal-article","created":{"date-parts":[[2026,4,16]],"date-time":"2026-04-16T14:05:36Z","timestamp":1776348336000},"page":"2456","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Semantic Communication Based on Slot Attention for MIMO Transmission in 6G Smart Factories"],"prefix":"10.3390","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8382-7729","authenticated-orcid":false,"given":"Na","family":"Chen","sequence":"first","affiliation":[{"name":"School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China"},{"name":"Beijing Key Laboratory of Industrial Deterministic Networking and Intelligent Collaborative Control, University of Science and Technology Beijing, Beijing 100083, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-5591-4763","authenticated-orcid":false,"given":"Guijie","family":"Lin","sequence":"additional","affiliation":[{"name":"School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China"},{"name":"Beijing Key Laboratory of Industrial Deterministic Networking and Intelligent Collaborative Control, University of Science and Technology Beijing, Beijing 100083, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rubing","family":"Jian","sequence":"additional","affiliation":[{"name":"Beijing Key Laboratory of Industrial Deterministic Networking and Intelligent Collaborative Control, University of Science and Technology Beijing, Beijing 100083, China"},{"name":"School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yusheng","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China"},{"name":"Beijing Key Laboratory of Industrial Deterministic Networking and Intelligent Collaborative Control, University of Science and Technology Beijing, Beijing 100083, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2036-2784","authenticated-orcid":false,"given":"Meixia","family":"Fu","sequence":"additional","affiliation":[{"name":"School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China"},{"name":"Beijing Key Laboratory of Industrial Deterministic Networking and Intelligent Collaborative Control, University of Science and Technology Beijing, Beijing 100083, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianquan","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China"},{"name":"Beijing Key Laboratory of Industrial Deterministic Networking and Intelligent Collaborative Control, University of Science and Technology Beijing, Beijing 100083, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2986-8239","authenticated-orcid":false,"given":"Lei","family":"Sun","sequence":"additional","affiliation":[{"name":"School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China"},{"name":"Beijing Key Laboratory of Industrial Deterministic Networking and Intelligent Collaborative Control, University of Science and Technology Beijing, Beijing 100083, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Li","sequence":"additional","affiliation":[{"name":"Beijing Key Laboratory of Industrial Deterministic Networking and Intelligent Collaborative Control, University of Science and Technology Beijing, Beijing 100083, China"},{"name":"School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-1207-3054","authenticated-orcid":false,"given":"Taisei","family":"Urakami","sequence":"additional","affiliation":[{"name":"National Institute of Technology, Kagawa College, Takamatsu 760-8521, Kagawa, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1016-2682","authenticated-orcid":false,"given":"Minoru","family":"Okada","sequence":"additional","affiliation":[{"name":"Information Science Division, Graduate School of Science and Technology, Nara Institute of Science and Technology, Ikoma 630-0192, Nara, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bin","family":"Shen","sequence":"additional","affiliation":[{"name":"Key Laboratory of Industrial Internet Network Innovation and Test Verification, Ministry of Industry and Information Technology, China Academy of Information and Communications Technology, Beijing 100191, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6551-6807","authenticated-orcid":false,"given":"Qu","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China"},{"name":"Beijing Key Laboratory of Industrial Deterministic Networking and Intelligent Collaborative Control, University of Science and Technology Beijing, Beijing 100083, China"},{"name":"Shunde Graduate School, University of Science and Technology Beijing, Foshan 528399, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3185-0441","authenticated-orcid":false,"given":"Changyuan","family":"Yu","sequence":"additional","affiliation":[{"name":"Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University, Hong Kong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fangping","family":"Chen","sequence":"additional","affiliation":[{"name":"Yunsheng Intelligent Technology Co., Ltd., Tianjin 300457, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xuekui","family":"Shangguan","sequence":"additional","affiliation":[{"name":"Shanxi Information Industry Technology Research Institute Co., Ltd., Taiyuan 030012, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2026,4,16]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Mohammadi, S., Sattarpanah Karganroudi, S., and Rahmanian, V. (2025). Advancements in Smart Nondestructive Evaluation of Industrial Machines: A Comprehensive Review of Computer Vision and AI Techniques for Infrastructure Maintenance. Machines, 13.","DOI":"10.3390\/machines13010011"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"102957","DOI":"10.1016\/j.ndteint.2023.102957","article-title":"NDE 4.0: Progress, promise, and its role to industry 4.0","volume":"140","author":"Meyendorf","year":"2023","journal-title":"NDT E Int."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"113626","DOI":"10.1016\/j.ymssp.2025.113626","article-title":"NDE 4.0: The confluence of cutting-edge nondestructive inspection practices, data fusion techniques, artificial intelligence, and cyber-physical systems for effective evaluation of materials and structures","volume":"242","author":"Nsengiyumva","year":"2026","journal-title":"Mech. Syst. Signal Process."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"2065","DOI":"10.1109\/TII.2022.3215231","article-title":"A Survey of Network Automation for Industrial Internet-of-Things Toward Industry 5.0","volume":"19","author":"Chi","year":"2023","journal-title":"IEEE Trans. Ind. Inform."},{"key":"ref_5","first-page":"1","article-title":"Semantic Communication Empowered Heterogeneous Industrial Internet of Things: Fundamentals and Challenges","volume":"39","author":"Sun","year":"2025","journal-title":"IEEE Netw."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"4122","DOI":"10.1109\/TII.2021.3115697","article-title":"Industrial IoT in 5G-and-Beyond Networks: Vision, Architecture, and Design Trends","volume":"18","author":"Mahmood","year":"2022","journal-title":"IEEE Trans. Ind. Inform."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"11444","DOI":"10.1109\/JIOT.2023.3330814","article-title":"B5G\/6G URLLC Latency Reduction Method for Multisensor Industrial Internet of Things","volume":"11","author":"Chen","year":"2024","journal-title":"IEEE Internet Things J."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1109\/COMST.2022.3223224","article-title":"Semantic Communications for Future Internet: Fundamentals, Applications, and Challenges","volume":"25","author":"Yang","year":"2023","journal-title":"IEEE Commun. Surv. Tutor."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Xin, G., Fan, P., and Letaief, K.B. (2024). Semantic Communication: A Survey of Its Theoretical Development. Entropy, 26.","DOI":"10.20944\/preprints202310.1208.v2"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"567","DOI":"10.1109\/TCCN.2019.2919300","article-title":"Deep Joint Source-Channel Coding for Wireless Image Transmission","volume":"5","author":"Bourtsoulatze","year":"2019","journal-title":"IEEE Trans. Cogn. Commun. Netw."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"51223","DOI":"10.1109\/ACCESS.2024.3381967","article-title":"A Survey on Goal-Oriented Semantic Communication: Techniques, Challenges, and Future Directions","volume":"12","author":"Getu","year":"2024","journal-title":"IEEE Access"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"107886","DOI":"10.1016\/j.jfranklin.2025.107886","article-title":"Task-oriented semantic communication towards industrial anomaly detection","volume":"362","author":"Lin","year":"2025","journal-title":"J. Franklin Inst."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"104","DOI":"10.1109\/IOTM.001.2300269","article-title":"Goal-Oriented Semantic Communications for 6G Networks","volume":"7","author":"Zhou","year":"2024","journal-title":"IEEE Internet Things Mag."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"2663","DOI":"10.1109\/TSP.2021.3071210","article-title":"Deep Learning Enabled Semantic Communication Systems","volume":"69","author":"Xie","year":"2021","journal-title":"IEEE Trans. Signal Process."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"214","DOI":"10.1109\/JSAC.2022.3221977","article-title":"Wireless Deep Video Semantic Transmission","volume":"41","author":"Wang","year":"2023","journal-title":"IEEE J. Sel. Areas Commun."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"2391","DOI":"10.1109\/LWC.2025.3570499","article-title":"Deep Learning-Based Semantic Communication System for Wireless Image Transmission","volume":"14","author":"Hu","year":"2025","journal-title":"IEEE Wirel. Commun. Lett."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"35662","DOI":"10.1109\/JIOT.2025.3580597","article-title":"Vision Transformer-Based Semantic Communications with Importance-Aware Quantization","volume":"12","author":"Park","year":"2025","journal-title":"IEEE Internet Things J."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Baitieva, A., Hurych, D., Besnier, V., and Bernard, O. (2024, January 16\u201322). Supervised Anomaly Detection for Complex Industrial Images. Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, WA, USA.","DOI":"10.1109\/CVPR52733.2024.01681"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"14469","DOI":"10.1109\/TCOMM.2025.3615798","article-title":"Image Generation with Supervised Selection Based on Multimodal Features for Semantic Communications","volume":"73","author":"Liang","year":"2025","journal-title":"IEEE Trans. Commun."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"612","DOI":"10.1109\/JPROC.2021.3058954","article-title":"Toward Causal Representation Learning","volume":"109","author":"Scholkopf","year":"2021","journal-title":"Proc. IEEE"},{"key":"ref_21","first-page":"1","article-title":"Object-Centric Learning with Slot Attention","volume":"33","author":"Locatello","year":"2020","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"6855","DOI":"10.1109\/TNSE.2026.3662778","article-title":"Evolutionary Knowledge-Enhanced Semantic Communication: Transition From SISO to MIMO","volume":"13","author":"Wang","year":"2026","journal-title":"IEEE Trans. Netw. Sci. Eng."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"102703","DOI":"10.1016\/j.ndteint.2022.102703","article-title":"Deep learning in automated ultrasonic NDE\u2013Developments, axioms and opportunities","volume":"131","author":"Wilcox","year":"2022","journal-title":"NDT E Int."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"186","DOI":"10.1109\/JSAC.2022.3221990","article-title":"Personalized Saliency in Task-Oriented Semantic Communications: Image Transmission and Performance Analysis","volume":"41","author":"Kang","year":"2023","journal-title":"IEEE J. Sel. Areas Commun."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"2434","DOI":"10.1109\/JSAC.2021.3087240","article-title":"Semantic Communication Systems for Speech Transmission","volume":"39","author":"Weng","year":"2021","journal-title":"IEEE J. Sel. Areas Commun."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"142","DOI":"10.1109\/JSAC.2020.3036968","article-title":"A Lite Distributed Semantic Communication System for Internet of Things","volume":"39","author":"Xie","year":"2020","journal-title":"IEEE J. Sel. Areas Commun."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"569","DOI":"10.1007\/s11277-022-10111-7","article-title":"A survey on semantic communications for intelligent wireless networks","volume":"129","author":"Iyer","year":"2023","journal-title":"Wirel. Pers. Commun."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"3047","DOI":"10.1109\/TWC.2025.3601155","article-title":"Robust Deep Joint Source-Channel Coding Enabled Distributed Image Transmission with Imperfect Channel State Information","volume":"25","author":"Dong","year":"2026","journal-title":"IEEE Trans. Wirel. Commun."},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Bian, C., Shao, Y., and G\u00fcnd\u00fcz, D. (2023, January 4\u20138). DeepJSCC-1++: Robust and Bandwidth-Adaptive Wireless Image Transmission. Proceedings of the GLOBECOM 2023\u20142023 IEEE Global Communications Conference, Kuala Lumpur, Malaysia.","DOI":"10.1109\/GLOBECOM54140.2023.10436878"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"720","DOI":"10.1109\/JSAIT.2022.3231042","article-title":"DeepJSCC-Q: Constellation Constrained Deep Joint Source-Channel Coding","volume":"3","author":"Tung","year":"2022","journal-title":"IEEE J. Sel. Areas Inf. Theory."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"1521","DOI":"10.1109\/LWC.2025.3548084","article-title":"Channel-Aware Deep Joint Source-Channel Coding for Multi-Task Oriented Semantic Communication","volume":"14","author":"Wang","year":"2025","journal-title":"IEEE Wirel. Commun. Lett."},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Cao, Y., Wu, Y., Lian, L., and Tao, M. (2025). Importance-Aware Resource Allocations for MIMO Semantic Communication. Entropy, 27.","DOI":"10.3390\/e27060605"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"15002","DOI":"10.1109\/TWC.2024.3422794","article-title":"Deep Joint Source-Channel Coding for Adaptive Image Transmission Over MIMO Channels","volume":"23","author":"Wu","year":"2024","journal-title":"IEEE Trans. Wirel. Commun."},{"key":"ref_34","unstructured":"Kipf, T., Elsayed, G., Mahendran, A., Stone, A., Sabour, S., Heigold, G., Jonschkowski, R., Dosovitskiy, A., and Greff, K. (2022, January 25\u201329). Conditional Object-Centric Learning from Video. Proceedings of the International Conference on Learning Representations (ICLR), Virtual."},{"key":"ref_35","unstructured":"Zadaianchuk, A., Seitzer, M., and Martius, G. (2023). Object-Centric Learning for Real-World Videos by Predicting Temporal Feature Similarities. arXiv."},{"key":"ref_36","unstructured":"Wu, Z., Dvornik, N., Greff, K., Kipf, T., and Garg, A. (2023, January 1\u20135). SlotFormer: Unsupervised Visual Dynamics Simulation with Object-Centric Models. Proceedings of the International Conference on Learning Representations (ICLR), Kigali, Rwanda."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"333","DOI":"10.1007\/s10462-024-10956-3","article-title":"Surface defect inspection of industrial products with object detection deep networks: A systematic review","volume":"57","author":"Ma","year":"2024","journal-title":"Artif. Intell. Rev."},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Liang, S., Zhao, Z., Zhu, C., Yang, Z., Yang, Y., Shikh-Bahaei, M., and Zhang, Z. (2024). Fair Resource Allocation for Probabilistic Semantic Communication in IIoT. arXiv.","DOI":"10.1109\/ICCCWorkshops62562.2024.10693807"},{"key":"ref_39","unstructured":"Seitzer, M., Horn, M., Zadaianchuk, A., Zietlow, D., Xiao, T., Simon-Gabriel, C.J., He, T., Zhang, Z., Scholkopf, B., and Brox, T. (2023, January 1\u20135). Bridging the gap to real-world object-centric learning. Proceedings of the International Conference on Learning Representations (ICLR), Kigali, Rwanda."},{"key":"ref_40","unstructured":"Dosovitskiy, A., Beyer, L., Kolesnikov, A., Weissenborn, D., Zhai, X., Unterthiner, T., Dehghani, M., Minderer, M., Heigold, G., and Gelly, S. (2021, January 3\u20137). An Image is Worth 16 \u00d7 16 Words: Transformers for Image Recognition at Scale. Proceedings of the International Conference on Learning Representations (ICLR), Virtual."},{"key":"ref_41","unstructured":"Jiang, W., Chen, W., and Ai, B. (2024, January 24\u201327). Deep Joint Source Channel Coding with Attention Modules over MIMO Channels. Proceedings of the IEEE International Conference on Communications (ICC), Singapore."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"3726","DOI":"10.1109\/TII.2023.3313641","article-title":"Multicrane Visual Sorting System Based on Deep Learning with Virtualized Programmable Logic Controllers in Industrial Internet","volume":"20","author":"Fu","year":"2024","journal-title":"IEEE Trans. Ind. Inform."},{"key":"ref_43","unstructured":"Zhang, H., Li, F., Liu, S., Zhang, L., Su, H., Zhu, J., Ni, L.M., and Shum, H. (2022). DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection. arXiv."},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Yuan, H., Xu, W., Wang, Y., and Wang, X. (2024). Channel-Blind Joint Source\u2013Channel Coding for Wireless Image Transmission. Sensors, 24.","DOI":"10.3390\/s24124005"},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"2203","DOI":"10.1109\/TIT.2006.872984","article-title":"Capacity and Power Allocation for Fading MIMO Channels with Channel Estimation Error","volume":"52","author":"Yoo","year":"2006","journal-title":"IEEE Trans. Inf. Theory"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1186\/s13638-023-02277-w","article-title":"Spatial attention and quantization-based contrastive learning framework for mmWave massive MIMO beam training","volume":"2023","author":"Jia","year":"2023","journal-title":"EURASIP J. Wirel. Commun. Netw."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"101406","DOI":"10.1016\/j.iot.2024.101406","article-title":"Self-Enhanced Multi-Task and Split Federated Learning Framework for RIS-Aided Cell-Free Systems","volume":"28","author":"Urakami","year":"2024","journal-title":"Internet Things"}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/26\/8\/2456\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,24]],"date-time":"2026-04-24T04:12:03Z","timestamp":1777003923000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/26\/8\/2456"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,4,16]]},"references-count":47,"journal-issue":{"issue":"8","published-online":{"date-parts":[[2026,4]]}},"alternative-id":["s26082456"],"URL":"https:\/\/doi.org\/10.3390\/s26082456","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,4,16]]}}}