Cross-Media Data Fusion and Intelligent Analytics Framework for Comprehensive Information Extraction and Value Mining
Keywords:
Cross-Media Data Fusion, Intelligent Analytics, Convolutional Neural Networks (CNN), Long Short-Term Memory (LSTM)Abstract
The core content of this paper is to analyze the integration of cross-media data and artificial intelligence. The core of the whole paper is to analyze different types of media data such as text, image and video. With the increasing complexity and quantity of multimedia data, it can be seen that traditional methods can no longer meet the current data needs. Therefore, some advanced technologies need to be integrated, such as convolutional neural network (CNN) Long and short memory network (LSTM) and graph neural network (GNN) to extract the data content. Therefore, the core of this paper emphasizes the centralized extraction of innocuous complex data through mixed and multi-transport facilities, and proposes that the framework can enhance information extraction and value mining, and this method can be more applied to the media medical and security fields.
References
S. Diao, C. Wei, J. Wang, and Y. Li, "Ventilator pressure prediction using recurrent neural network," arXiv preprint arXiv:2410.06552, 2024. Available from: https://doi.org/10.48550/arXiv.2410.06552
Z. Feng, M. Ge, and Q. Meng, "Enhancing energy efficiency in green buildings through artificial intelligence," Applied Science and Engineering Journal for Advanced Research, vol. 3, no. 5, pp. 10–17. Available from: http://dx.doi.org/10.20944/preprints202408.1489.v1
Z. Feng, M. Ge, Q. Meng, and Y. Chen, "Research on old building renovation strategies by using green building technologies," 2024. Available from: https://www.preprints.org/manuscript/202409.0595/v1
M. Ge, Z. Feng, and Q. Meng, "Urban planning and green building technologies based on artificial intelligence: Principles, applications, and global case study analysis," 2024. Available from: http://dx.doi.org/10.20944/preprints202408.1108.v1
G. Jiang, S. Zhao, H. Yang, and K. Zhang, "Research on finance risk management based on combination optimization and reinforcement learning," 2024. Available from: https://www.preprints.org/manuscript/202408.0983/v1
W. Jin, H. Liu, and F. Shen, "AI-assisted pilot fatigue risk assessment: Integrating facial recognition and physiological signal analysis," 2024. Available from: http://dx.doi.org/10.20944/preprints202409.2295.v1
W. Jin, H. Liu, and F. Shen, "Artificial intelligence in flight safety: Fatigue monitoring and risk mitigation technologies," Applied Science and Engineering Journal for Advanced Research, vol. 3, no. 5, pp. 1–9, 2024. Available from: http://dx.doi.org/10.20944/preprints202409.2208.v1
B. Li, G. Jiang, N. Li, and C. Song, "Research on large-scale structured and unstructured data processing based on large language model," in Proceedings of the International Conference on Machine Learning, Pattern Recognition and Automation Engineering, pp. 111–116, Aug. 2024. Available from: http://dx.doi.org/10.20944/preprints202407.1364.v1
B. Li, K. Zhang, Y. Sun, and J. Zou, "Research on travel route planning optimization based on large language model," 2024. Available from: https://doi.org/10.1109/DOCS63458.2024.10704489
Q. Meng, M. Ge, and Z. Feng, "The integration of artificial intelligence in architectural visualization enhances augmented realism and interactivity," 2024. Available from: http://dx.doi.org/10.20944/preprints202408.1048.v1
Z. H. Peng, Z. H. Bin-MeiZi, Z. O. Jian-Ke, and L. I. U. Xiang-Beng, "The methods, effects and mechanism of priming attachment security towards social behaviors," Journal of Psychological Science, no. 3, p. 615, 2018. Available from: https://jps.ecnu.edu.cn/EN/Y2018/V41/I3/615
M. Qu, "High precision measurement technology of geometric parameters based on binocular stereo vision application and development prospect of the system in metrology and detection," Journal of Computer Technology and Applied Mathematics, vol. 1, no. 3, pp. 23–29, 2024. Available from: https://doi.org/10.5281/zenodo.13366612
C. Wang, J. Chen, Z. Xie, and J. Zou, "Research on personalized teaching strategies selection based on deep learning," 2024. Available from: http://dx.doi.org/10.2991/978-94-6463-560-7_14
C. Wang, J. Chen, Z. Xie, and J. Zou, "Research on education big data for student's academic performance analysis based on machine learning," in Proceedings of the 2024 Guangdong-Hong Kong-Macao Greater Bay Area International Conference on Education Digitalization and Computer Science, pp. 223–227, July 2024. Available from: http://dx.doi.org/10.48550/arXiv.2407.16907
D. Wang, Ed., Information Science and Electronic Engineering: Proceedings of the 3rd International Conference of Electronic Engineering and Information Science (ICEEIS 2016), January 4–5, 2016, Harbin, China. CRC Press, 2016. Available from: https://www.scimagojr.com/journalsearch.php?q=21100838744&tip=sid&clean=0
Y. Wang, Z. He, J. Zou, H. Xie, and J. Bao, "Energy transition for sustainable economy: What is the role of government governance and public concern?," Finance Research Letters, vol. 106087, 2024. Available from: https://doi.org/10.1016/j.frl.2024.106087
D. Chen, G. Xiong, L. Wang, and W. Yu, "Variable length sequential iterable convolutional recurrent network for UWB-IR vehicle target recognition," IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1–11, 2023. Available from: https://doi.org/10.1109/TGRS.2023.3255224
J. Chen, "School reforms for low-income students under conflict theory," Journal of Advanced Research in Education, vol. 3, no. 3, pp. 36–44, 2024. Available from: https://www.pioneerpublisher.com/jare/article/view/785
Y. Chen, S. Yan, S. Liu, Y. Li, and Y. Xiao, "EmotionQueen: A benchmark for evaluating empathy of large language models," in Findings of the Association for Computational Linguistics ACL 2024, pp. 2149–2176, Aug. 2024. Available from: https://doi.org/10.48550/arXiv.2409.13359
S. Diao, Y. Wan, S. Huang, and H. Ma, "Research on cancer prediction and identification based on multimodal medical image fusion," in Proceedings of the 2024 3rd International Symposium on Robotics, Artificial Intelligence and Information Engineering, pp. 120–124, July 2024. Available from: https://doi.org/10.1145/3689299.3689321
Y. Ding, J. Li, H. Wang, Z. Liu, and A. Wang, "Attention-enhanced multimodal feature fusion network for clothes-changing person re-identification," Complex & Intelligent Systems, vol. 11, no. 1, pp. 1–15, 2025. Available from: http://dx.doi.org/10.1007/s40747-024-01646-2
Y. Fu and T. Yao, "Investigation of O phase spheroidization behavior in Ti2AlNb alloy using high-throughput experiments," Journal of Materials Engineering and Performance, vol. 1–11, 2024. Available from: http://dx.doi.org/10.1007/s11665-024-10027-2
D. Huang, Z. Liu, and Y. Li, "Research on tumors segmentation based on image enhancement method," arXiv preprint arXiv:2406.05170, 2024. Available from: http://dx.doi.org/10.54254/2755-2721/67/20240693
D. Huang, H. Ma, J. Wang, Y. Du, and R. Li, "MOF-mediated paper-based (bio)sensors for detecting food and environmental pollutants: Preparation strategies and emerging applications," Microchemical Journal, vol. 111692, 2024. Available from: http://dx.doi.org/10.1016/j.microc.2024.111692
D. Huang, L. Xu, W. Tao, and Y. Li, "Research on genome data recognition and analysis based on Louvain algorithm," 2024. Available from: http://dx.doi.org/10.20944/preprints202407.1344.v1
S. Huang, S. Diao, and Y. Wan, "Application of machine learning methods in predicting functional recovery in ischemic stroke patients," in Proceedings of the 1st International Scientific and Practical Conference, Innovative Scientific Research: Theory, Methodology, Practice, Boston, USA, pp. 240, Sept. 2024. Available from: https://www.preprints.org/manuscript/202408.1974/v1
S. Huang, S. Diao, H. Zhao, and L. Xu, "The contribution of federated learning to AI development," in Proceedings of the 24th International Scientific and Practical Conference, Technologies of Scientists and Implementation of Modern Methods, Copenhagen, Denmark, pp. 358, June 2024. Available from: http://dx.doi.org/10.20944/preprints202407.0551.v1
G. Jiang, S. Huang, and J. Zou, "Impact of AI-driven data visualization on user experience in the internet sector," 2024. Available from: http://dx.doi.org/10.54691/q3f67706
S. Lai et al., "FTS: A framework to find a faithful TimeSieve," arXiv preprint arXiv:2405.19647, 2024. Available from: https://doi.org/10.48550/arXiv.2405.19647
L. Li, S. Diao, H. Qin, and Y. Wan, "The impact of artificial intelligence on the development of medical ultrasound imaging," in Proceedings of the 24th International Scientific and Practical Conference, Technologies of Scientists and Implementation of Modern Methods, Copenhagen, Denmark, pp. 328, June 2024. Available from: https://doi.org/10.1177/87564793231178490
H. Liu, F. Shen, H. Qin, and F. Gao, "Research on flight accidents prediction based on back propagation neural network," arXiv preprint arXiv:2406.13954, 2024. Available from: http://dx.doi.org/10.48550/arXiv.2406.13954
H. Liu, R. Xie, H. Qin, and Y. Li, "Research on dangerous flight weather prediction based on machine learning," arXiv preprint arXiv:2406.12298, 2024. Available from: http://dx.doi.org/10.1088/1742-6596/2870/1/012020
U. Salman et al., "Comparing the economic value of lithium-ion battery technologies in the nine wholesale electricity markets in North America," iEnergy, vol. 1, no. 3, pp. 363–373, 2022. Available from: https://doi.org/10.23919/IEN.2022.0044
S. Le, X. Ke, Y. Huang, and X. Shinye, "An Xgboost based system for financial fraud detection," in Proceedings of the E3S Web of Conferences 2020, vol. 214, p. 02042, 2020. Available from: http://dx.doi.org/10.1051/e3sconf/202021402042
H. Shui, X. Sha, B. Chen, and J. Wu, "Stock weighted average price prediction based on feature engineering and Lightgbm model," in Proceedings of the 2024 International Conference on Digital Society and Artificial Intelligence, pp. 336–340, May 2024. Available from: http://dx.doi.org/10.1145/3677892.3677945
Y. Sun and J. Ortiz, "GenAI-Driven Cyberattack Detection in V2X Networks for Enhanced Road Safety and Autonomous Vehicle Defense," International Journal of Advanced Applied Science Research, vol. 3, pp. 67–75, 2024. Available from: http://dx.doi.org/10.3390/electronics13050809
J. Xiao, T. Deng, and S. Bi, "Comparative Analysis of LSTM, GRU, and Transformer Models for Stock Price Prediction," arXiv preprint arXiv:2411.05790, 2024. Available from: https://doi.org/10.1145/3700058.3700075
H. Wang and X. Tong, "Layer-wise Asynchronous Training of Neural Network with Synthetic Gradient on Distributed System," unpublished. Available from: https://www.cs.cmu.edu/~wcohen/10-605/2016-project-proposals/synthetic-gradient_xtong_haow2.pdf
H. Wang, Z. Li, and J. Li, "Road Car Image Target Detection and Recognition Based on YOLOv8 Deep Learning Algorithm," unpublished. Available from: http://dx.doi.org/10.54254/2755-2721/69/20241489
L. Wang, M. Chen, G. Chen, T. Luo, and F. Liu, "Loading capacity prediction of the auxetic tubular lattice structures by multiscale shakedown analysis," Composite Structures, vol. 314, p. 116938, 2023. Available from: http://dx.doi.org/10.1016/j.compstruct.2023.116938
L. Wang, L. He, F. Liu, H. Yuan, J. Li, and M. Chen, "Mechanical Characterization of Multifunctional Metal-Coated Polymer Lattice Structures," Materials, vol. 17, no. 3, p. 741, 2024. Available from: http://dx.doi.org/10.3390/ma17030741
L. Wang, Z. Zhang, M. Chen, J. Xie, F. Liu, H. Yuan, and L. Yu, "Machine Learning-Based Fatigue Life Evaluation of the Pump Spindle Assembly With Parametrized Geometry," in ASME International Mechanical Engineering Congress and Exposition, vol. 87684, Oct. 2023, p. V011T12A022. Available from: http://dx.doi.org/10.1115/IMECE2023-112245
G. Xiangyu, T. Yao, F. Gao, Y. Chen, X. Jian, and H. Ma, "A new granule extrusion-based for 3D printing of POE: studying the effect of printing parameters on mechanical properties with 'response surface methodology'," Iranian Polymer Journal, pp. 1–12, 2024. Available from: https://doi.org/10.1007/s13726-024-01405-7
X. Zhang, L. Xu, N. Li, and J. Zou, "Research on Credit Risk Assessment Optimization based on Machine Learning," unpublished. Available from: http://dx.doi.org/10.54254/2755-2721/69/20241497
S. Zhao, T. Zhang, and N. Li, "Machine learning analysis of key features in household financial decision-making," Academic Journal of Science and Technology, vol. 12, no. 2, pp. 1–6, 2024. Available from: http://dx.doi.org/10.54097/gapmwq55
J. Zou, H. Zhao, and N. Li, "Operational Efficiency through Machine Learning and Optimization in Supply Chain Management," Academic Journal of Science and Technology, vol. 12, no. 1, 2024. Available from: https://doi.org/10.54097/9cb36341
J. Chen, J. Xiao, and W. Xu, “A hybrid stacking method for short-term price forecasting in electricity trading market,” in 2024 8th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE), IEEE, 2024, pp. 1–5. Available from: http://dx.doi.org/10.1109/ICITISEE63424.2024.10730623
https://www.microsoft.com/en-us/research/project/cross-domain-data-fusion/
https://medical.sectra.com/case/gathering-multiple-hospitals-digital-media-in-a-shared-archive/
