# Detection of Forged Images Using a Combination of Passive Methods Based on Neural Networks
## 3 Materials and Methods
### Discrete Wavelet Transform
(2022) [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]. Low-Cost CNN for Automatic Violence Recognition on Embedded System. _IEEE Access_**2022**, _10_, 25190-25202. [CrossRef]
* [PERSON] et al. (2021) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]. Classification of Contaminated Insulators Using k-Nearest Neighbors Based on Computer Vision. _Computers_**2021**, _10_, 112. [CrossRef]
* [PERSON] et al. (2023) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Recency, Frequency, Monetary Value, Clustering, and Internal and External Indices for Customer Segmentation from Retail Data. _Algorithms_**2023**, _16_, 396. [CrossRef]
* [PERSON] et al. (2017) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Development of Photo Forensics Algorithm by Detecting Photoshop Manipulation using Error Level Analysis. _Indones. J. Electr. Eng. Comput. Sci._**2017**, \(7\), 131. [CrossRef]
* [PERSON] et al. (2023) [PERSON]; [PERSON]; [PERSON]; [PERSON] [PERSON] Wavelet-Seq2 Seq-LSTM with attention for time series forecasting of level of dams in hydroelectric power plants. _Energy_**2023**, _274_, 127350. [CrossRef]
* [PERSON] et al. (2022) [PERSON] [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]. Fault Prediction Based on Leakage Current in Contaminated Insulators Using Enhanced Time Series Forecasting Models. _Sensors_**2022**, _22_, 6121. [CrossRef]
* [PERSON] et al. (2022) [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON]. Wavelet LSTM for fault forecasting in electrical power grids. _Sensors_**2022**, _22_, 8323. [CrossRef]
* [PERSON] et al. (2023) [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON]; [PERSON]. Optimized EWT-Seq2 Seq-LSTM with Attention Mechanism to Insulators Fault Prediction. _Sensors_**2023**, _23_, 3202. [CrossRef]
* [PERSON] et al. (2023) [PERSON]; [PERSON]; [PERSON] Interpretable visual transmission lines inspections using pseudo-prototypical part network. _Mach. Vis. Appl._**2023**, _34_, 41. [CrossRef]
* [PERSON] et al. (2013) [PERSON]; [PERSON]; [PERSON] CASIA Image Tampering Detection Evaluation Database. In Proceedings of the 2013 IEEE China Summit and International Conference on Signal and Information Processing, Beijing, China, 6-10 July 2013; pp. 422-426. [CrossRef]
* [PERSON] and [PERSON] (2017) [PERSON]; [PERSON] Multi-scale Analysis Strategies in PRNU-based Tampering Localization. _IEEE Trans. Inf. Forensics Secur._**2017**, _12_, 809-824. [CrossRef]
* [PERSON] and [PERSON] (2016) [PERSON]; [PERSON] Evaluation of Random Field Models in Multi-modal Unsupervised Tampering Localization. In Proceedings of the IEEE International Workshop on Information Forensics and Security, Abu Dhabi, United Arab Emirates, 4-7 December 2016. * [PERSON] et al. (2020) [PERSON]; [PERSON]; [PERSON] IMD2020: A Large-Scale Annotated Dataset Tailored for Detecting Manipulated Images. In Proceedings of the IEEE Winter Applications of Computer Vision Workshops, Snowmass, CO, USA, 1-5 March 2020; pp. 71-80. [CrossRef]

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