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Sun, Gan, Cong, Yang, Hou, & Dongdong, et al. (2019). Joint household characteristic prediction via smart meter data. IEEE Transactions on Smart Grid.Search in Google Scholar
Qiao, X., Ma, S., Pan, G., & Liu, G. (2019). Effects of temperature change on the soil water characteristic curve and a prediction model for the mu us bottomland, northern china. Water(6).Search in Google Scholar
Jin, H., Wu, X., Liu, X., Zhang, L., & Quan, J. (2020). A data‐driven approach for flow corrosion characteristic parameters prediction in an air cooler. Asia-Pacific Journal of Chemical Engineering(9), e2450.Search in Google Scholar
Su, C. W., Ming-Fang Yen, A., Lai, H., Chen, H. H., & Chen, L. S. (2017). Receiver operating characteristic (roc) curve-based prediction model for periodontal disease updated with the calibrated community periodontal index. Journal of Periodontology, 1-16.Search in Google Scholar
Bharat, T. V., & Gapak, Y. (2020). Soil-water characteristic curves of bentonites in isochoric conditions during wetting: measurement and prediction. Canadian Geotechnical Journal, 58(4).Search in Google Scholar
Saha, Sajib, Fan, Luo, Xue, & Lytton, et al. (2018). Prediction of soil-water characteristic curve for unbound material using fredlund-xing equation-based ann approach. Journal of Materials in Civil Engineering.Search in Google Scholar
Wang, X., Meng, Q., Wang, Z., Gan, J., Yang, Y., & Qin, X., et al. (2018). Prediction of the surface characteristic of 42crmo after spot continual induction hardening based on a novel co-simulation method. Surface and Coatings Technology, 357.Search in Google Scholar
Barzegar, R., Fijani, E., Asghari Moghaddam, A., & Tziritis, E. (2017). Forecasting of groundwater level fluctuations using ensemble hybrid multi-wavelet neural network-based models. Science of the Total Environment, s 599–600, 20-31.Search in Google Scholar
Bento, P. M. R., Pombo, J. A. N., Calado, M. R. A., & Mariano, S. J. P. S. (2018). A bat optimized neural network and wavelet transform approach for short-term price forecasting. Applied Energy, 210(jan.15), 88-97.Search in Google Scholar
Weifang, S., Bin, Y., Nianyin, Z., Binqiang, C., Yuchao, H., & Xincheng, C., et al. (2017). An intelligent gear fault diagnosis methodology using a complex wavelet enhanced convolutional neural network. Materials, 10(7), 790.Search in Google Scholar
S. Raghu, N. Sriraam, & G. Pradeep Kumar. (2017). Classification of epileptic seizures using wavelet packet log energy and norm entropies with recurrent elman neural network classifier. Cognitive Neurodynamics.Search in Google Scholar
Liu, Y., & Hanxin, C. (2019). Fault diagnosis of gearbox based on rbf-pf and particle swarm optimization wavelet neural network. Neural Computing and Applications.Search in Google Scholar
Sabir, Z., Umar, M., Raja, M. A. Z., Baskonus, H. M., & Gao, W. (2022). Designing of morlet wavelet as a neural network for a novel prevention category in the hiv system. International journal of biomathematics(4), 15.Search in Google Scholar
Deepa, S. N., & Jayalakshmi, N. Y. (2021). Optimized fuzzy-based wavelet neural network controller for a non-linear process control system. IETE Journal of Research(2), 1-10.Search in Google Scholar
Mehmet amil Güne, Parim, C., Yldz, D., & Ali Hakan Büyüklü. (2021). Predicting monthly streamflow using a hybridwavelet neural network: case studyof the oruh river basin. Polish Journal of Environmental Studies(4).Search in Google Scholar
Heydari, S. M., Aris, T. N. M., Yaakob, R., & Hamdan, H. (2021). Data-driven forecasting and modeling of runoff flow to reduce flood risk using a novel hybrid wavelet-neural network based on feature extraction. Sustainability, 13.Search in Google Scholar
Chen, Y. Z. J. (2021). Short-term traffic flow prediction based on improved wavelet neural network. Neural computing & applications, 33(14).Search in Google Scholar
Defdaf, M., Berrabah, F., Chebabhi, A., & Cherif, B. D. E. (2021). A new transform discrete wavelet technique based on artificial neural network for induction motor broken rotor bar faults diagnosis. International Transactions on Electrical Energy Systems, 31.Search in Google Scholar
Lei, L. (2018). Wavelet neural network prediction method of stock price trend based on rough set attribute reduction. Applied Soft Computing, 62.Search in Google Scholar
Wu, J., Xu, X., Liu, C., Deng, C., & Shao, X. (2021). Lamb wave-based damage detection of composite structures using deep convolutional neural network and continuous wavelet transform. Composite Structures, 276(3), 114590.Search in Google Scholar
Lai, Y., Easa, S., Sun, D., & Wei, Y. (2020). Bus arrival time prediction using wavelet neural network trained by improved particle swarm optimization. Journal of Advanced Transportation.Search in Google Scholar
Yupu Wang, Zhiping Lu, Yunying Qu, Linyang Li, & Ning Wang. (2017). Improving prediction performance of gps satellite clock bias based on wavelet neural network. GPS Solutions.Search in Google Scholar
Cui, Y., Yan, R., Sharma, R., Saha, T., & Horrocks, N. (2022). Realizing multifractality of smart meter data for household characteristic prediction. International Journal of Electrical Power & Energy Systems, 139, 108003-.Search in Google Scholar
Ma, Y., Wang, P., & Sun, T. (2021). Research on energy management method of plug-in hybrid electric vehicle based on travel characteristic prediction. Energies, 14.Search in Google Scholar
Santos, N. D. L., Amorim, C. S. D., Santos, C. B. R. D., Lima, S. O. A. S., & Pithon, M. M. (2019). Does the facial pattern give individuals a profile of a crime suspect?. Bioscience Journal, 35(5).Search in Google Scholar
Bouchaud, F., Grimaud, G., Vantroys, T., & Buret, P. (2019). Digital investigation of iot devices in the criminal scene. Journal of Universal Computer Science(9).Search in Google Scholar
Schmitt, T., Cross, T. P., & Alderden, M. (2017). Qualitative analysis of prosecutors’ perspectives on sexual assault nurse examiners and the criminal justice response to sexual assault. Journal of Forensic Nursing, 13(2), 62-68.Search in Google Scholar
A, F. T., & B, R. W. (2020). Integrating relations and criminal background to identifying key individuals in crime networks. Decision Support Systems, 139.Search in Google Scholar
Juan, Z., Han, Q., Xiaoyu, L., Jie, N., Becker, N. M., & Xiaonong, H., et al. (2018). Real-time nowcasting of microbiological water quality at recreational beaches: a wavelet and artificial neural network based hybrid modeling approach. Environmental Science & Technology, 52(15), 8446-8455.Search in Google Scholar
Chang, Z., Zhang, Y., & Chen, W. (2019). Accepted manuscript electricity price prediction based on hybrid model of adam optimized lstm neural network and wavelet transform electricity price prediction based on hybrid model of adam optimized lstm neural network and wavelet transform. Energy(187-Nov.15).Search in Google Scholar
Xin, W., Jiayi, W., Xin, L. I., Astronautics, C. O., Nanjing University of Aeronautics and Astronautics, & Institute, S. A. C. T., et al. (2018). A feed-forward wavelet neural network adaptive observer-based fault detection technique for spacecraft attitude control systems. Chinese Journal of Electronics.Search in Google Scholar