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Year: 2023, Volume: 23, Number: 3
... ). In other words, the vM metric typically detected through error messages or signals. Faults provides a measure of the total number of mutants that have are ... 2. Identify potential faultable codes in the scanned codes This information is generated by processing the outputs of and use the fault library to perform mutation on these codes ...
Year: 2023, Volume: 23, Number: 3
... =1 ,2 ,… ,K. superimposed signal to the destination users. The In order to ... is used to detect the user's incoming message under high signal-to-noise ratio regime. To verify the accuracy of the ... NOMA which is given by: system, the received signal-to-interference-plus-noise ratio (SINR) for FU D1 can be ...
Year: 2023, Volume: 23, Number: 3
... several DA techniques audios on ASR performance for recognizing speech signals affected Spectrogram Image/Spectrogram by packet losses was ... ASR [9]. A survey of raw audio signal (waveform). The literature commonly the effects ... the experimental preparation, including the speech developed for image processing, it can also be useful for databases ( ...
Year: 2023, Volume: 23, Number: 2
... based on UAV for "Deep reinforcement learning: A brief survey," IEEE Signal agricultural applications," Computers and electronics in agriculture, Processing Magazine, 2017 ... 34(6 ): 26-38. 2019, 162: 31-43. doi:10.1016/j.compag.2019.03.025 doi:10.1109/MSP.2017.2743240. [4] M. Mozaffari ...
Year: 2023, Volume: 23, Number: 2
... a training data with let's say I(x ,y) represents a discrete signal of size mxn. In this {xk,yk}, xk is ... hardware with a features with AdaBoost classifier. In this proposed system, an high processing power and large data. Also, training is time adaptive attention system based ...
Year: 2023, Volume: 23, Number: 2
... algorithm with voltage control. Moreover, the PV voltage signals of the P&O MPPT&CVCC and ... series-connected PV modules forward control. Finally, the output signal of a pulse width of the YINGLI solar brand ... ] M. Banavar et al., "Signal processing for solar array monitoring, fault doi:10.1109 ...
Year: 2023, Volume: 23, Number: 2
... two CNN architectures are proposed of automatic prediction from EEG signals. This work to predict ongoing seizures and different ... , Number 2, 2023 Epilepsy Seizure Prediction from EEG Signal Using Machine Learning Techniques Boutkhil SIDAOUI1, Kaddour SADOUNI2 ... advances in seizure C. Pooling Layer detection, signal processing, time or frequency domain analysis, and classification ...
28. A Novel Approach on Converting Eye Blink Signals in EEG to Speech with Cross Correlation Technique
Year: 2023, Volume: 23, Number: 2
... 2, 2023 A Novel Approach on Converting Eye Blink Signals in EEG to Speech with Cross Correlation Technique Nuri ... to detect specific facial expressions, such communication, biomedical signal processing, electroencephalography, cross correlation. as blinks ... experimental studies were manually examined, it similarity between the signal's decreases. However, when was found that the ...
Year: 2023, Volume: 23, Number: 2
... and alignment using multitask cascaded convolutional networks," IEEE Signal Processing Letters, vol. 23, no. ... problems for face alignment. In this paper, we processing. Although the forward process of these methods propose ... of local appearance. In the proposed offset without any post-processing, indicating that its attention-based module, a boundary ...
30. A Proposed Signal Reconstruction Algorithm over Bandlimited Channels for Wireless Communications
Year: 2023, Volume: 23, Number: 1
... such also used to reconstruct most of baseband signal's energy signals [7-11]. In speech recognition technologies, ... Engineering Volume 23, Number 1, 2023 A Proposed Signal Reconstruction Algorithm over Bandlimited Channels for Wireless Communications Ahmed ... for reconstructing such also used to reconstruct most of baseband signal's energy signals [7-11]. In speech recognition ...
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