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Search results for: algorithm
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Year: 2022, Volume: 22, Number: 1
... . Binary classification architecture [23], [34-35], compared to single algorithm models [18], [20]. BGH consists of seven layers ... (CSE) [9]. methods [18-23]. The Machine Learning algorithms classify BruteForce (Web, XSS, FTP, SSH), Botnet, ...
Year: 2013, Volume: 13, Number: 1
... 1, 2013 this provocation; with good results on body tracking and the AdaBoost algorithm [28] and the set of Haar features body gesture recognition [17 ... points are initially subjected into sequence Δ is generated by the model. some reduction algorithms, proposed in [31]. The first filter The classification of a ...
Year: 2009, Volume: 9, Issue: 3
... based on the the Latino-American background. The image sequences Haar-like features and AdaBoost learning algorithm. The represented 100 different subjects expressing different Viola and Jones method is an ... cases, only one image sequence per expression was in conjunction with many other learning algorithms to available. Figure 3 shows an example of sequence images improve their performance ...
Year: 2018, Volume: 18, Number: 4
... pixels from other pixels. In this study, a novel adaptive anisotropic diffusion filter algorithm based on Haar wavelet transform has been proposed. Initially, Haar transform of ... sense, many cost have been indispensable. The other some approaches speckle noise reduction algorithms have been developed up were to transform multiplicative noise into additional noise to date ...
Year: 2016, Volume: 16, Number: 4
... of task parameters the nHSE (Hardware Scheduler Engine) scheduler required by the scheduling algorithm (priority, deadline, implemented in hardware by using a FPGA Xilinx Virtex-7 ... Systems- Predictable the level of the nMPRA architecture, as well as the Scheduling Algorithms and Applications," Third edition, pp. 13 – 30, Springer ...
Year: 2019, Volume: 19, Number: 1
... 39 Advances in Electrical and Computer Engineering Volume 19, Number 1, 2019 ELM algorithm can be summarized in three stages as The success rates obtained for both training ... provide a comprehensive list of the activity acceleration, ground information, and physiological recognition algorithms proposed in the literature. Also, an properties are measured using wearable sensors ...
Year: 2017, Volume: 17, Number: 3
... . The learning ratio is determined as 0.07, the epoch 100000 and the training algorithm is selected as traingd. The implementation is performed using MATLAB. ANN is ... components to evaluate the signal processing extraction step to reduce the processing time. Developed algorithms. However, the highly developed hardware [24] application handles the signal ...
Year: 2013, Volume: 13, Number: 4
... Quantization for minimum distortion," IEEE Trans. Inf. forward adaptive loss compression algorithm and its application in Theory, vol. 6, pp. 7-12, ... since the number of [3] W. C. Chu, Speech Coding Algorithms, Foundation and Evolution of quantization levels N must be a large relative to ...
Year: 2010, Volume: 10, Issue: 4
... experimental results are provided for the proposed DPCM with gain-adaptive quantizer and the first order algorithm. predictor. Section IV discusses the theoretical model and Index Terms — adaptive ... quantization of difference between samples in DPCM. Companding QN [11]: 1 algorithms reduce the dynamic range of an audio signal,  q 3( x ...
Year: 2013, Volume: 13, Number: 2
... . CONCLUSION [11] Baoli Zhang and Fengqi Yu, "A Feasible Localization Algorithm for Based on observations, confirmed by extensive practical Wireless Sensor Networks Using Directional ... powered, improving the accuracy of the positioning results by using complex filtering and correction algorithms, and other the lifetime of a node being crucial in all practical cases ...
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