| Issue |
Int. J. Simul. Multidisci. Des. Optim.
Volume 16, 2025
Multi-modal Information Learning and Analytics on Cross-Media Data Integration
|
|
|---|---|---|
| Article Number | 20 | |
| Number of page(s) | 16 | |
| DOI | https://doi.org/10.1051/smdo/2025027 | |
| Published online | 06 October 2025 | |
- H.O. Demirel, S. Ahmed, V.G. Duffy, Digital human modeling: a review and reappraisal of origins, present, and expected future methods for representing humans computationally, Int. J. Hum. Comput. Interact. 38, 897–937 (2022) [Google Scholar]
- B. Wang, H. Zhou, X. Li et al., Human digital twin in the context of industry 5.0, Robot. Comput. Int. Manuf. 85, 102626 (2024) [Google Scholar]
- K. Ling'ai, H. Zichao, Design and application of popular science information release system for earthquake prevention and disaster reduction, Prog. Earthquake Sci. 54, 346–352 (2024) [Google Scholar]
- R. Damaševičius, N. Bacanin, S. Misra, From sensors to safety: Internet of Emergency Services (IoES) for emergency response and disaster management, J. Sens. Actuator Netw. 12, 41 (2023) [Google Scholar]
- N. Li, N. Sun, C. Cao et al., Review on visualization technology in simulation training system for major natural disasters, Nat. Hazards 112, 1851–1882 (2022) [Google Scholar]
- V. Plevris, AI-driven innovations in earthquake risk mitigation: a future-focused perspective, Geosciences 14, 244 (2024) [Google Scholar]
- M. Aboualola, K. Abualsaud, T. Khattab et al., Edge technologies for disaster management: a survey of social media and artificial intelligence integration, IEEE Access 11, 73782–73802 (2023) [Google Scholar]
- C. Gao, S. Ajith, M.V. Peelen, Object representations drive emotion schemas across a large and diverse set of daily-life scenes, Commun. Biol. 8, 697 (2025) [Google Scholar]
- X. Fang, Y. Zhang, H. Tan et al., Performance evaluation and optimization of 3D gaussian splatting in indoor scene generation and rendering, ISPRS Int. J. Geo-Inf. 14, 21 (2025) [Google Scholar]
- C. Shan, C. Wu, Y. Xia et al., Adaptive resource allocation for workflow containerization on Kubernetes, J. Syst. Eng. Electron. 34, 723–743 (2023) [Google Scholar]
- P. Marques, P. Váz, J. Silva et al., Real-time gesture-based hand landmark detection for optimized mobile photo capture and synchronization, Electronics 14, 704 (2025) [Google Scholar]
- J. Jia, W. Ye, Deep learning for earthquake disaster assessment: objects, data, models, stages, challenges, and opportunities, Remote Sens. 15, 4098 (2023) [Google Scholar]
- X. Cheng, Q. Li, R. Hai et al., Research progress and prospects of seismic performance on underground structure embedded in soft soil foundation, Sci. Rep. 14, 21883 (2024) [Google Scholar]
- A. Melnik, M. Miasayedzenkau, D. Makaravets et al., Face generation and editing with stylegan: a survey, IEEE Trans. Pattern Anal. Mach. Intell. 46, 3557–3576 (2024) [Google Scholar]
- Z. Huang, S.M. Erfani, S. Lu et al., Efficient neural implicit representation for 3D human reconstruction, Pattern Recognit. 156, 110758 (2024) [Google Scholar]
- F. Liu, H.Y. Wang, S.Y. Shen et al., OPO-FCM: a computational affection based OCC-PAD-OCEAN federation cognitive modeling approach, IEEE Trans. Comput. Soc. Syst. 10, 1813–1825 (2022) [Google Scholar]
- Y. Zhao, Z. Liu, J. Xiao et al., Research on emotion modeling of intelligent agents in earthquake evacuation simulation, Cogn. Syst. Res. 87, 101242 (2024) [Google Scholar]
- S. Mok, S. Park, M. Whang, Examining the impact of digital human gaze expressions on engagement induction, Biomimetics 8, 610 (2023) [Google Scholar]
- W. Li, Q. Wang, W. Cheng et al., Development and application of a smart emergency response platfrom for earthquake disasters based on multi-source monitoring data, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. 48, 25–30 (2022) [Google Scholar]
- N. Algiriyage, R. Prasanna, K. Stock et al., Multi-source multimodal data and deep learning for disaster response: a systematic review, SN Comput. Sci. 3, 92 (2022) [Google Scholar]
- S. Muralidharan, S. Turuvekere Sreenivas, R. Joshi et al., Compact language models via pruning and knowledge distillation, Adv. Neural Inf. Process. Syst. 37, 41076–41102 (2024) [Google Scholar]
- A. AlAbdulaali, A. Asif, S. Khatoon et al., Designing multimodal interactive dashboard of disaster management systems, Sensors 22, 4292 (2022) [Google Scholar]
- L. Zhao, W.Z. Song, L. Shi, X. Ye, Decentralised seismic tomography computing in cyber-physical sensor systems, Cyber-Phys. Syst. 1, 91–112 (2015) [Google Scholar]
- J. Mok, N. Kwak, Performance improvement of facial gesture-based user interface using MediaPipe face mesh, J. Internet Things Converg. 9, 125–134 (2023) [Google Scholar]
- K. Amara, O. Kerdjidj, N. Ramzan, Emotion recognition for affective human digital twin by means of virtual reality enabling technologies, IEEE Access 11, 74216–74227 (2023) [Google Scholar]
- X. Zhang, X. Xie, H. Zhao et al., Seismic response prediction method of train-bridge coupled system based on convolutional neural network-bidirectional long short-term memory-attention modeling, Adv. Struct. Eng. 28, 341–357 (2025) [Google Scholar]
- J. Gonzalez, W. Yu, L. Telesca, Gated recurrent units based recurrent neural network for forecasting the characteristics of the next earthquake, Cybern. Syst. 53, 209–222 (2022) [Google Scholar]
- S. Hazmoune, F. Bougamouza, Using transformers for multimodal emotion recognition: taxonomies and state of the art review, Eng. Appl. Artifi. Intell. 133, 108339 (2024) [Google Scholar]
- S. Banar, R. Mohammadi, Seismonet: a proximal policy optimization-based earthquake early warning system using dilated convolution layers and online data augmentation, Expert Syst. Appl. 253, 124337 (2024) [Google Scholar]
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