Remote Sensing Detection and Resource Utilisation of Urban Sewage Sludge Based on Mobile Edge Computing

[1] Wu CH. An empirical study on discussion and evaluation of green university. Ecol Chem Eng S. 2021;28(1):75-87. DOI: 10.2478/eces-2021-0007. Search in Google Scholar

[2] Wu CH, Tsai SB, Liu W, Shao XF, Sun R, Wacławek M. Eco-technology and eco-innovation for green sustainable growth. Ecol Chem Eng S. 2021;28(1):7-10. DOI: 10.2478/eces-2021-0001. Search in Google Scholar

[3] Chen J, Ran X. Deep learning with edge computing: a review. Proc IEEE. 2019;107(8):1655-74. DOI: 10.1109/jproc.2019.2921977. Search in Google Scholar

[4] Sodhro AH, Luo Z, Sangaiah AK, Baik SW. Mobile edge computing based QoS optimization in medical healthcare applications. Int J Information Manage. 2019;45:308-18. DOI: 10.1016/j.ijinfomgt.2018.08.004. Search in Google Scholar

[5] Luo R, Popp J, Bocklitz T. Deep learning for Raman spectroscopy. A review. Analytica. 2022;3(3):287-301. DOI: 10.3390/analytica.3030020. Search in Google Scholar

[6] Kong F, Hu K, Li Y. A spectral-spatial feature extraction method with polydirectional CNN for multispectral image compression. IEEE J Selected Topics Appl Earth Observations Remote Sensing. 2022;15:2745-58. DOI: 10.1109/jstars.2022.3158281. Search in Google Scholar

[7] Wang X, Wang S, Cao J. Data-driven based tiny-YOLOv3 method for front vehicle detection inducing SPP-net. IEEE Access. 2020;8:110227-36. DOI: 10.1109/access.2020.3001279. Search in Google Scholar

[8] Su Y, Li D, Chen X. Lung nodule detection based on faster R-CNN framework. Computer Methods Programs Biomedicine. 2021;200:105866. DOI: 10.1016/j.cmpb.2020.105866. Search in Google Scholar

[9] Chen Y, Wang H, Li W. Scale-aware domain adaptive faster r-cnn. Int J Computer Vision. 2021;129(7):2223-43. DOI: 10.1007/s11263-021-01447-x. Search in Google Scholar

[10] Li E, Zeng L, Zhou Z. Edge AI: On-demand accelerating deep neural network inference via edge computing. IEEE Trans Wireless Communications. 2019;19(1):447-57. DOI: 10.1109/twc.2019.2946140. Search in Google Scholar

[11] Krestinskaya O, James AP, Chua LO. Neuromemristive circuits for edge computing: a review. IEEE Trans Neural Networks Learning Systems. 2019;31(1):4-23. DOI: 10.1109/tnnls.2019.2899262. Search in Google Scholar

[12] Khan MZ, Harous S, Hassan SU. Deep unified model for face recognition based on convolution neural network and edge computing. IEEE Access. 2019;7:72622-33. DOI: 10.1109/access.2019.2918275. Search in Google Scholar

[13] Zhang J, Yang X, Xie N. An online auction mechanism for time-varying multidimensional resource allocation in clouds. Future Generation Computer Systems. 2020;111:27-38. DOI: 10.1016/j.future.2020.04.029. Search in Google Scholar

[14] Holub M, Andrs O, Kovar J, Vetiska J . Effect of position of temperature sensors on the resulting volumetric accuracy of the machine tool. Measurement. 2020;150:107074. DOI: 10.1016/j.measurement.2019.107074. Search in Google Scholar

[15] Lee SY, Tsou C, Huang PW. Ultra-high-frequency radio-frequency-identification baseband processor design for bio-signal acquisition and wireless transmission in healthcare system. IEEE Trans Consumer Electronics. 2019;66(1):77-86. DOI: 10.1109/tce.2019.2956627. Search in Google Scholar