Open Access
Issue |
E3S Web Conf.
Volume 363, 2022
XV International Scientific Conference on Precision Agriculture and Agricultural Machinery Industry “State and Prospects for the Development of Agribusiness - INTERAGROMASH 2022”
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Article Number | 04005 | |
Number of page(s) | 10 | |
Section | Environmental Education and Digital Solutions. Environmentally Responsible Behavior | |
DOI | https://doi.org/10.1051/e3sconf/202236304005 | |
Published online | 14 December 2022 |
- A. Amer Mohammed Salih, M. Al-Khannaq, K. Hasikin, & N. Ashidi Mat Isa,. Adaptive local exposure based region determination for non-uniform illumination and low contrast images. Alexandria Engineering Journal, 61(12), 11185–11195. (2022) DOI:10.1016/j.aej.2022.04.023 [CrossRef] [Google Scholar]
- T. Li, Z. Zhan, & G. Tan, Accurate visual localization with semantic masking and attention. Eurasip Journal on Advances in Signal Processing, 2022(1) (2022) DOI:10.1186/s13634-022-00875-2 [Google Scholar]
- C. Zheng, D. Cao, & C. Hu, A similarity-guided segmentation model for garbage detection under road scene. Frontiers of Optoelectronics, 15(1) (2022) DOI:10.1007/s12200-022-00004-9 [Google Scholar]
- W. Shi, Z. Huang, H. Huang, C. Hu, M. Chen, S. Yang, & H. Chen,. LOEN: Lensless opto-electronic neural network empowered machine vision. Light: Science and Applications, 11(1) (2022) DOI:10.1038/s41377-022-00809-5 [Google Scholar]
- M. Rusanovsky, O. Beeri, & G. Oren, An end-to-end computer vision methodology for quantitative metallography. Scientific Reports, 12(1) (2022) DOI:10.1038/s41598-022-08651-w [CrossRef] [Google Scholar]
- Y. Bityukov, Y. Deniskin, G. Deniskina, & I. Pocebneva, Application of wavelets and conformal reflections to finding optimal scheme of fiber placement at 3d printing constructions from composition materials. Paper presented at the E3S Web of Conferences, 244 (2021) DOI:10.1051/e3sconf/202124405004 [CrossRef] [EDP Sciences] [PubMed] [Google Scholar]
- R. Ojala, J. Vepsäläinen, & K. Tammi, Motion detection and classification: Ultra-fast road user detection. Journal of Big Data, 9(1) (2022) DOI:10.1186/s40537-022-00581-8 [Google Scholar]
- M. A. Al-Malla, A. Jafar, & N. Ghneim,. Image captioning model using attention and object features to mimic human image understanding. Journal of Big Data, 9(1) (2022) DOI:10.1186/s40537-022-00571-w [Google Scholar]
- W. Yang, W. Liow, S. Chen, J. Yang, P. Chung, & S. Mao, Improved vehicle detection systems with double-layer LSTM modules. Eurasip Journal on Advances in Signal Processing, 2022(1) (2022) DOI:10.1186/s13634-022-00839-6 [Google Scholar]
- S. Hao, X. Han, Y. Guo, & M. Wang,. Decoupled low-light image enhancement. ACM Transactions on Multimedia Computing, Communications and Applications, 18(4) (2022) DOI:10.1145/3498341 [Google Scholar]
- M. Lupión, A. Polo-Rodríguez, J. Medina-Quero, J. F. Sanjuan, & P. M. Ortigosa, On the limits of conditional generative adversarial neural networks to reconstruct the identification of inhabitants from IoT low-resolution thermal sensors. Expert Systems with Applications, 203 (2022) DOI:10.1016/j.eswa.2022.117356 [PubMed] [Google Scholar]
- H. Zhang, S. Zhang, Y. Zhang, J. Liang, & Z. Wang,. Machining feature recognition based on a novel multi-task deep learning network. Robotics and Computer-Integrated Manufacturing, 77 (2022) DOI:10.1016/j.rcim.2022.102369 [Google Scholar]
- A. R. Deniskina, I. V. Pocebneva, & A. V. Smolyaninov. Multidimensional object management. Paper presented at the Proceedings – 2021 International Russian Automation Conference, RusAutoCon 2021, 17–22. (2021) DOI:10.1109/RusAutoCon52004.2021.9537333 [CrossRef] [Google Scholar]
- A. Smolyaninov, I. Pocebneva, I. Fateeva, & K. Singur. Software implementation of a virtual laboratory bench for distance learning. Paper presented at the E3S Web of Conferences, 244 (2021) DOI:10.1051/e3sconf/202124411009 [CrossRef] [EDP Sciences] [PubMed] [Google Scholar]
- M. Guo, T. Xu, J. Liu, Z. Liu, P. Jiang, T. Mu, S. Hu.. Attention mechanisms in computer vision: A survey. Computational Visual Media, 8(3), 331–368. (2022) DOI:10.1007/s41095-022-0271-y [CrossRef] [Google Scholar]
- A. Smolyaninov, I. Pocebneva, I. Fateeva, & K. Singur. Software implementation of a virtual laboratory bench for distance learning. Paper presented at the E3S Web of Conferences, 244 (2021) DOI:10.1051/e3sconf/202124411009 [CrossRef] [EDP Sciences] [PubMed] [Google Scholar]
- B. Li, L. Ye, J. Liang, Y. Wang, & J. Han,. Region-of-interest and channel attention-based joint optimization of image compression and computer vision. Neurocomputing, 500, 13–25. (2022) DOI:10.1016/j.neucom.2022.05.047 [CrossRef] [Google Scholar]
- B. Li, L. Ye, J. Liang, Y. Wang, & J. Han,. Region-of-interest and channel attention-based joint optimization of image compression and computer vision. Neurocomputing, 500, 13–25. (2022) DOI:10.1016/j.neucom.2022.05.047 [CrossRef] [Google Scholar]
- S. Cha, & Y. Wang, Zero-shot semantic segmentation via spatial and multi-scale aware visual class embedding. Pattern Recognition Letters, 158, 87–93. (2022) DOI:10.1016/j.patrec.2022.04.011 [CrossRef] [Google Scholar]
- M. Schellenberg, K. K. Dreher, N. Holzwarth, F. Isensee, A. Reinke, N. Schreck, J. Gröhl,.Semantic segmentation of multispectral photoacoustic images using deep learning. Photoacoustics, 26 (2022) DOI:10.1016/j.pacs.2022.100341 [CrossRef] [PubMed] [Google Scholar]
- F. Li, Y. Lu, X. Mao, J. Duan, & X. Liu. Multi-task deep learning model based on hierarchical relations of address elements for semantic address matching. Neural Computing and Applications, 34(11), 8919–8931. (2022) DOI:10.1007/s00521-022-06914-1 [CrossRef] [Google Scholar]
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