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Year: 2023, Volume: 23, Number: 4
... undertaken using LabVIEW and computerization. Today, very complex signals can be experimentation is performed employing the SDRs. ... — This research aims to introduce an innovative complications in signal generation. In this context, method of constellation ... of the to construct a constellation diagram, which visually signal-to-noise ratio (SNR) in the transmitted data eye ...
12. Transfer Learning Based Convolutional Neural Network for Classification of Remote Sensing Images
Year: 2023, Volume: 23, Number: 4
... random search method. Data active sensors provide their own signal to illumine the augmentation is done to improve the ... for classification [8]. A cascaded Convolutional Neural Processing Units (GPUs) [23]. Transfer ... connections in which some layers in the CNN are skipped pre-processing and data augmentation for the two datasets and the ...
Year: 2023, Volume: 23, Number: 3
... 33.74 51.28 33.04 19.26 MCGVL 72.01 60.20 41.10 59.54 41.72 24.20 convolutional response between multimodal signals, SCDM D. Comparison with other Methods [41]: Semantic Conditioned ... . description of the object and of the action. This requires the Efficient multimedia processing tools are needed for the vast system to understand visual and linguistic modalities and ...
Year: 2023, Volume: 23, Number: 3
... represents the duty cycle, and dx fluctuations in the signals will also create this difference represents the amount of ... stage, the dc-dc The duty cycle of the PWM signal is changed in 0.05 converter is controlled to operate ... rule bases are performance of the controller increases while the processing used, has a complex algorithm and can track ...
Year: 2023, Volume: 23, Number: 3
... area motion imagery," in 2016 IEEE International Conference on Acoustics, Speech and Signal Processing, 2016, pp. 1100-1104. doi:10.1109/ICASSP.2016.7471846 [ ... ] H. Dong, L. Jia, X. Sun, C. Li, and Y. Qin, "Road traffic flow prediction with a time-oriented ...
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 ...
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