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Search results for: neural network
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Year: 2022, Volume: 22, Number: 2
... point cloud features. Finally, an efficient instance segmentation neural network (ABJNet), which is attention-based joint ... post-processing task for semantic cloud perception based on backbone neural networks. This segmentation. They predict instances as clusters ... Technology, Xi'an, China 2 Shaanxi Key Laboratory for Network Computing and Security Technology, Xi'an, China haowen ...
Year: 2012, Volume: 12, Number: 3
... knowledge based property stability, Adaptive Neurofuzzy control, Wavelet neural of fuzzy logic systems and with the learning capability ... that its application domain is limited to static power transmission networks. But the structural expansion problems. Moreover, ... convergence and getting stuck in of existing systems is bounded above by different local minima are well-known short-comings of conventional ...
43. Simulation of Noise-Cancelling in the Cockpit of an Aircraft Using Two-Rate Hybrid Neural Network
Year: 2007, Volume: 7, Issue: 2
... Noise-Cancelling in the Cockpit of an Aircraft Using Two-Rate Hybrid Neural Network Igor ASTROV1, Svetlana TATARLY2, Sergei TATARLY3 ... case of single-rate signal Index Terms — Multi-rate, neural networks, noisy speech, processing. pattern recognition, ... . In [5 ], the problem of single-rate pilot's voice pattern recognition using NN adaptive filter is considered ...
Year: 2022, Volume: 22, Number: 2
... hardly be compared due to different Index Terms — artificial neural networks, computer vision, technology and datasets. ... review papers [6-7] indicate feature extraction, machine learning, object detection. that the most of research ... for building an efficient ML model, should advanced CNN network for drone identification [15]. Vison cover ...
45. 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 ...
Year: 2020, Volume: 20, Number: 2
... Computer Engineering Volume 20, Number 2, 2020 Convolutional Neural Network Based Prediction of Conversion from Mild Cognitive Impairment ... neuroimaging modalities that use nuclear Index Terms — artificial neural networks, computer aided medicine injected in patient's body to ... the disease. diagnosis, image analysis, image classification, pattern These procedures are time consuming, expensive and ...
Year: 2017, Volume: 17, Number: 3
... classification," Department of Computer Science, National Taiwan neural network-aided evidence theory," IET Gener. Transm ... [17], the In power systems, distribution networks deliver electrical grid search method (GSM) has ... SVM) parameters used for electrical mapping, artificial neuron network (ANN) has been widely fault diagnosis in ...
Year: 2020, Volume: 20, Number: 1
... detection is an important automatic feature representation, the convolutional neural technique of the navigation system for the visually impaired ... samples are fed to tune parameters in the The three networks are trained by 2238 positive samples 46 Advances in ... and Computer Engineering Volume 20, Number 1, 2020 and 4476 negative samples, which are previously generated in ...
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: 2018, Volume: 18, Number: 2
... renewable Decomposition (EMD), the Radial Basis Function Neural energy and insufficient power grid capacity, all countries ... Vlasselaer, Wannes coefficients on building surfaces using artificial neural networks," Meert. "LS-SVM based spectral clustering ... regression for Energy and Buildings, vol.158, pp.1429-1441, Jan. 2018. predicting maintenance of industrial machines, ...
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