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Search results for: neural network
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Year: 2023, Volume: 23, Number: 1
... terms of the output of the turbo encoder. A neural network is used in BER, FER and average ... of iterations, while requiring [12] to stop turbo decoding. Another rule called Sign less complexity [ ... " IEEE International Conference on Wireless And Mobile Computing, Networking And Communications, Montreal, QC, Canada, ...
Year: 2023, Volume: 23, Number: 1
... multiple Although the application of machine learning, especially deep neural networks, allows for the creation of highly stalling ... . Finally, the video quality Q has been accurate QoE metrics, their learning phase requires the use predicted ... in LIVE-NFLX-II database, Quality of Experience, video quality network services where the result is available only on the ...
Year: 2023, Volume: 23, Number: 1
... : fast_boot flag buffer_occupancy current buffer occupancy algorithm called Re-Organizing Neural Network (RONN). target_time 35 seconds RONN ... which are used only in the case of cell phone networks. possible ABR. Every user perceives QoE subjectively ... (timing, bitrate representation, Uniform occupancy level, network throughput value calculated on the Resource Locator (URL ...
Year: 2022, Volume: 22, Number: 4
... , strange Index Terms — analog integrated circuits, artificial neural corpse presence [4-5], and it is ... modeled by networks, fault diagnosis, fuzzy logic, clustering methods. either short circuits or open circuits. ... the approaches [7]. Because of their linearized network models, classifier process. Therefore, the application ...
Year: 2022, Volume: 22, Number: 4
... these setups on the clinical side. Video fusion and Neural Network (NN) techniques were used for observation ... . A. Cacho, "Low-cost equipment for sensor networks," Comput. Methods Programs Biomed., ... . 128, pp. the evaluation of reach and grasp in post-stroke individuals: a pilot 100 – 110 ...
Year: 2022, Volume: 22, Number: 4
... and Computer Engineering Volume 22, Number 4, 2022 neural networks. The relevant kernel function is expressed by ... (2012), information about the problem is first by Equation 10 below. reviewed, as in the ... 1995. doi:10.1007/BF00994018 "Quantum neural network parameter estimation for photovoltaic fault [18] V ...
Year: 2022, Volume: 22, Number: 3
... . This method allows users to increase designed with artificial neural networks, and this creates protection of personal data ... reduce the risk of new methods to identify security issues of apps. There are permission-induced attacks, namely the ... purpose is to identify infected or malicious analyzed permissions, network traffic and local storage to components of an app ...
Year: 2022, Volume: 22, Number: 3
... for that, it produces 4760 W, 4710 W and 4880 W with SMC-Artificial Neural Fuzzy Inference System based EMC oscillation of 5%, 3.31% and 1.3 ... with trained Artificial Neuro Fuzzy System (SMC- will increase the reliability of the network. The energy ANFIS). The proposed Hybrid system is modeled and storage ...
Year: 2022, Volume: 22, Number: 3
... USD depending on their age range, monitoring, fuzzy neural networks, neurocontrollers, virtual prototyping. ethnicity, ... , health condition, among others. These expenses are usually higher for young people (children and I. ... High-Order to represent glucose transit through the stomach and Neural Network. This neural network structure allows us to intestine ...
30. Impact of Photovoltaic Systems Allocation on Congestion in Distribution Network: Iraq Case Study
Year: 2022, Volume: 22, Number: 2
... 2020 networks by using enhanced coyote optimisation algorithm," Neural [13] B. H. Dinh, ... However, in the current work, the Iraqi distribution networks based on Geographic Information power system network had been ... 2022 Impact of Photovoltaic Systems Allocation on Congestion in Distribution Network: Iraq Case Study Hussein Mohammed BADR1, 2 ...
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