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Year: 2023, Volume: 23, Number: 2
... on for object detection," IEEE Trans. on Pattern Analy. And Machine Networks and Communications, pp. 316 – 320, 2020. Int. vol ... based on the convolutional neural consuming. It is difficult to perform training tasks using network GoogleNet architecture is developed. Hence efficiency ordinary computers. Therefore, Discriminative Correlation ...
Year: 2013, Volume: 13, Number: 3
... the at multiple in [26] for lung segmentation. resolutions. Artificial Neural Networks (ANNs) can be used for X- E. Atlas based methods ... (location, shapes, relationships between in medical imaging is the feed forward neural network. The structures), obtain by manual segmentation or provided by advantage is ...
Year: 2013, Volume: 13, Number: 4
... fundamental prerequisite to design indoor wireless radio actual channel measurements were the main source of networks. In recent years, ray tracing based propagation information related to indoor radio ... wasif@um.edu.my Abstract — Precise multipath propagation modeling is the great challenges to the network designer. A few years back, fundamental prerequisite to design indoor wireless radio ...
274. Hamming Weight Counters and Comparators based on Embedded DSP Blocks for Implementation in FPGA
Year: 2014, Volume: 14, Number: 2
... FPGA Artix-7 [20] there are 240 have the same drawbacks as the counting networks. embedded DSP48E1 slices and in the most advanced We suggest novel designs for ... 19] V. Sklyarov and I. Skliarova, "Fast Regular Circuits for Network- comparators are frequently required in both software and based Parallel Data Processing, ...
Year: 2010, Volume: 10, Issue: 4
... of phase properties inherent to objects. All these layers possess considerably less optical birefringence networks of liquid crystals consisting of optically- anisotropy of the biological component matter as ... of the birefringence characterizing the {C} components of biological liquids can be exhaustively network of optically uniaxial protein (myosin, collagen, described using the following Jones ...
Year: 2020, Volume: 20, Number: 2
... prediction using Colony Algorithm to forecast energy demand of Turkey," Energy artificial neural networks," Energy, vol. 35, no. 2, pp. ... Korea using an Energy plays an important role in the economic and social artificial neural network (ANN). Ekonomou [10] have development of a country from ...
Year: 2024, Volume: 24, Number: 1
... ) and photovoltaic (PV) in discharging capabilities of plug-in hybrid electric vehicles power networks has been considered as an effective (PHEVs) enable them to exchange electric ... to stored in PHEVs and PHEVs can deliver power back to the an external electricity network. In order to model the power grid during peak-load hours in the V2G ...
Year: 2012, Volume: 12, Number: 1
... . Kazmierkowski and L. Malesani, "Current Control Technique STATCOM using neural fuzzy networks with singleton for Three-Phase Voltage Source PWM Converters", IEEE Trans. Ind ... D-STATCOM [3]. The system are whose functions are realized by Artificial Neural Network controlled to obtain desired performance depending on the (ANN) and it has ...
Year: 2017, Volume: 17, Number: 3
... , vol. 17, pp. 569-574, Sep. 2015. doi: Networks Based on Multiple Local Measurements in Eskisehir," 10.17531/ein.2015.4.12 Energy Procedia ... dynamical system, a wavelet-time series improved include Kalman filtering [2 ], neural network [3-5], grey wind speed prediction model based on Lorenz disturbance is ...
Year: 2013, Volume: 13, Number: 4
... AND SIMULATION RESULTS voltage DC transmission brings additional harmonic A. Measurement Results distortion in networks [16]. The CCFTS was established in late eighties of the 20th ... of the phase voltage are also discussed. The accuracy of where Znet is the network impedance, ZL the line impedance, the proposed model is confirmed by additional ...
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