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Year: 2011, Volume: 11, Number: 2
... 11, Number 2, 2011 Voltage Sags Matching to Locate Faults for Underground Distribution Networks Hazlie MOKHLIS1, Hasmaini MOHAMAD2, Haiyu LI3, Ab Halim Abu BAKAR1 1 ... for monitoring, mainly in a rural area. Thus, not much underground distribution network is presented in this paper. information can be utilized to assist fault location ...
202. Biometric Identification Advances: Unimodal to Multimodal Fusion of Face, Palm, and Iris Features
Year: 2024, Volume: 24, Number: 1
... . These models use deep techniques include sensor-level fusion, feature-level fusion, wavelet transform networks (WTN) for face and iris match-score-level fusion, and decision-level fusion [ ... Number 1, 2024 and irises, as well as deep convolutional neural networks neural network (CNN) and support vector classifier (SVC) (CNNs) for ...
Year: 2012, Volume: 12, Number: 2
... aimed at costs per route that involve crossing. The main goal in improving transport networks by developing new methods for developing these methods is to achieve a road infrastructure ... most common problems facing the transport which will take into account the human needs. network is congestion. By creating traffic models and simulate A model is a simplistic ...
Year: 2016, Volume: 16, Number: 1
... Volume 16, Number 1, 2016 Highly Efficient, Zero-Skew, Integrated Clock Distribution Networks Using Salphasic Principles Andrei PAžCA1,2, Mircea CIUGUDEAN2 1 Continental Automotive Romania ... centimeters), another class of integrated circuit (IC) is its clock distribution network €“ clock distribution techniques becomes possible €“ i.e. without it, system operation ...
Year: 2018, Volume: 18, Number: 2
... combined together. We obtain approximately 4% absolute performance. Nowadays, deep neural networks (DNN) have improvement with the combination compared to the best been the ... in a feed-forward deep have been introduced for speaker verification [1] and neural network (DNN) for age identification from voice. The become the dominant modeling ...
Year: 2019, Volume: 19, Number: 3
... 19, Number 3, 2019 Spectral Subband Centroid Energy Vectors Algorithm and Artificial Neural Networks for Acoustic Emission Pattern Classification Marcus Tulius Barros FLORENTINO1,2, Edson Guedes ... decision-making, this work still proposes the use of artificial about a new artificial neural network training algorithm was neural networks (ANN) for pattern recognition. In this ...
Year: 2020, Volume: 20, Number: 2
... corresponding.liuch@njupt.edu.cn 1 Abstract €” This paper studies simultaneous wireless transmission schemes in WEH networks. The first scheme is information and power transfer in a K-user multiple-input called ... Volume 20, Number 2, 2020 Optimal Transceiver Design for SWIPT in Interference Alignment Network Yan CHEN, Chen LIU*, Youhua FU Œ Yunchao SONG Œ Mujun ...
208. Assessment of Distributed Generation Source Impact on Electrical Distribution System Performance
Year: 2010, Volume: 10, Issue: 2
... state. The optimal Capacity of DG is computed as 2. Since the existing networks are heavily loaded, 1 ƒ n ƒ the operator needs to have clear ... computations and impact of DGs system operation and management are aimed at improving on the network can be accessed. It is necessary to devise system conditions in order to ...
Year: 2018, Volume: 18, Number: 1
... methods have been developed for action support vector machines (SVM), and neural networks (NN) recognition using an acceleration sensor. The data for the techniques ... performance of the artificial neural assignment of optimal confidence levels of the classifiers. The network, decision tree, and logistic regression for action experimental results show that our ...
Year: 2011, Volume: 11, Number: 2
... a human organism. that are characterize different scales of the polarization maps of polycrystalline networks of amino acids of blood plasma were defined. The criteria for the differentiation ... and birefringence index „n. reasonable. Mueller matrix f ik elements of liquid crystal network Our work is aimed at studying capabilities of the wavelet are determined by the ...
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