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Search results for: neural network
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Year: 2023, Volume: 23, Number: 2
... examines classes of epilepsy. the performance of the convolutional neural network (CNN) In general, two tasks ... a dataset of features extracted from the EEG convolutional neural networks and support vector machines. signal, and the ... is trained with a dataset of Scalogram In addition, efficient heuristics for selecting electrodes are images from the EEG ...
Year: 2023, Volume: 23, Number: 2
... of whale optimization "Multi objective economic/emission optimal energy management method," Neural Computing and Applications, vol. 31, no. 2, pp. ... on a 33-bus distribution Value at Risk) as a risk measurement technique is applied network and modeled the problem using GAMS/CPLEX against the risk arising from low ...
Year: 2023, Volume: 23, Number: 2
... J. W. Jiang and A. Emadi, Switched Reluctance Motor trained with neural networks or computational intelligence Drives: Fundamentals to Applications, CRC Press, pp ... 12-70, 2018. methods which can solve regression problems. Hence, this doi:10.1201/9780203729991 regression model can be included in the developed models. [ ...
Year: 2023, Volume: 23, Number: 2
... above Index Terms — distance learning, image analysis, neural problems, priority should be given to improve the ... maps. S represents the coordinates obtained from Recurrent Neural Networks for landmark prediction and a the predicted heatmaps, ... and end-to-end differentiable, they fail to consider the Regression Network (SHBRN), consisting of a rough estimation ...
25. A Study on Eye-Blink Detection-Based Communication System by Using K-Nearest Neighbors Classifier
Year: 2023, Volume: 23, Number: 1
... , "Home care project for patients with Amyotrophic study," In Advances in Neural Information Processing Systems, 1131- Lateral Sclerosis (ALS): "It's ... ," Universal Access in the Information Society, 10.1: 69-80, Communications& Networking Conference (CCNC) (pp. 1-6). IEEE, 2011. ...
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 ...
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