Mobile QR Code QR CODE

2024

Acceptance Ratio

21%

※ The user interface design of www.ieiespc.org has been recently revised and updated. Please contact inter@theieie.org for any inquiries regarding paper submission.

Journal Search

  1. Home
  2. Archive
  3. 2025-12 (Vol.14 No.06)
  4. 10.5573/IEIESPC.2025.14.6.715
XML PDF INFO REF

References

1 
Tang X., Zhang T., 2021, Facial expression recognition algorithm based on convolution neural network and multi-feature fusion, Journal of Physics: Conference Series, Vol. 1883, pp. 012018DOI
2 
Wnag Y., 2019, Multimodal emotion recognition algorithm based on edge network emotion element compensation and data fusion, Personal and Ubiquitous Computing, Vol. 23, No. 3-4, pp. 383-392DOI
3 
Li Y., He Z., Wang S., Wang Z., Huang W., 2021, Multideep feature fusion algorithm for clothing style recognition, Wireless Communications and Mobile Computing, Vol. 2021, No. 4, pp. 1-14DOI
4 
Huang Y., Tian K., Wu A., Zhang G., 2019, Feature fusion methods research based on deep belief networks for speech emotion recognition under noise condition, Journal of Ambient Intelligence and Humanized Computing, Vol. 10, No. 5, pp. 1787-1798DOI
5 
Pei M., Li H. R., Yu H., 2021, A novel three-stage feature fusion methodology and its application in degradation state identification for hydraulic pumps, Measurement Science Review, Vol. 21, pp. 123-135DOI
6 
Li X., Du Z., Huang Y., Tan Z., 2021, A deep translation (GAN) based change detection network for optical and SAR remote sensing images, ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 179, pp. 14-34DOI
7 
Chen L., Tang W., John N. W., Wan T. R., Zhang J. J., 2019, De-smokeGCN: Generative cooperative networks for joint surgical smoke detection and removal, IEEE Transactions on Medical Imaging, Vol. 39, No. 5, pp. 1615-1625DOI
8 
Esfahlani S. S., 2019, Mixed reality and remote sensing application of unmanned aerial vehicle in fire and smoke detection, Journal of Industrial Information Integration, Vol. 15, pp. 42-49DOI
9 
Zheng B., Yun D., Liang Y., 2020, Research on behavior recognition based on feature fusion of automatic coder and recurrent neural network, Journal of Intelligent and Fuzzy Systems, Vol. 39, No. 6, pp. 8927-8935DOI
10 
Zhang B. T., Wang X. P., Shenm Y., Lei T., 2019, Dual-modal physiological feature fusion-based sleep recognition using CFS and RF algorithm, International Journal of Automation and Computing, Vol. 16, No. 3, pp. 286-296DOI
11 
Gou Y., Wang K., Wei S., Shi C., 2023, GMDA: GCN-based multi-modal domain adaptation for real-time disaster detection, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, Vol. 31, No. 6, pp. 957-973DOI
12 
Zhao J., Yu L., Liu Z., 2021, Research based on multimodal deep feature fusion for the auxiliary diagnosis model of infectious respiratory diseases, Scientific Programming, Vol. 2021, No. 4, pp. 1-6DOI
13 
Wang Z., Zhen J., Li Y., Li G., Han Q., 2019, Multi-feature multimodal biometric recognition based on quaternion locality preserving projection, Chinese Journal of Electronics, Vol. 28, No. 4, pp. 789-796DOI
14 
Zhou H., Dong C., Wu R., Xu X., Guo Z., 2021, Feature fusion based on Bayesian decision theory for radar deception jamming recognition, IEEE Access, Vol. 9, pp. 16296-16304DOI
15 
Siriwardhana S., Kaluarachchi T., Billinghurst M., Nanayakkara S., 2020, Multimodal emotion recognition with transformer-based self supervised feature fusion, IEEE Access, Vol. 8, pp. 176274-176285DOI
16 
Yuan D., Shu X., Liu Q., Zhang X., He Z., 2023, Robust thermal infrared tracking via an adaptively multi-feature fusion model, Neural Computing and Applications, Vol. 35, No. 4, pp. 3423-3434DOI
17 
Xia S., Zhou X., Shi H., Li S., 2024, Hybrid feature adaptive fusion network for multivariate time series classification with application in AUV fault detection, Ships and Offshore Structures, Vol. 19, No. 6, pp. 807-819DOI
18 
Xie J., Pang Y., Pan J., Nie J., Cao K., Han J., 2023, Complementary feature pyramid network for object detection, ACM Transactions on Multimedia Computing, Communications, and Applications, Vol. 19, No. 6, pp. 1-15DOI
19 
Huo L., Zhu J., Singh P. K., Pavlovich P. A., 2021, Research on QR image code recognition system based on artificial intelligence algorithm, Journal of Intelligent Systems, Vol. 30, No. 1, pp. 855-867DOI
20 
Wang B., Wang Y., Cui L., 2020, Fuzzy clustering recognition algorithm of medical image with multi-resolution feature, Concurrency and Computation: Practice and Experience, Vol. 32, No. 1, pp. e4886DOI
21 
Bandewad G., Datta K. P., Gawali B. W., Pawar S. N., 2023, Review on discrimination of hazardous gases by smart sensing technology, Artificial Intelligence and Applications, Vol. 1, No. 2, pp. 86-97DOI
22 
Gheisari M., Hamidpour H., Liu Y., Saedi P., Raza A., Jalili A., Rokhsati H., Amin R., 2023, Data mining techniques for web mining: A survey, Artificial Intelligence and Applications, Vol. 1, No. 1, pp. 3-10DOI