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Search results for: algorithm
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Year: 2020, Volume: 20, Number: 3
... , Universiti Kuala Lumpur, 53100 Malaysia rosmina@ukm.edu.my 1 Abstract — Shannon energy-based algorithm has been signal is then calculated to amplify the significant peak and implemented in ... ]. the differences in database used, number of beat analysed, Shannon energy-based algorithms used in R-peak frequency range selected, and signal processing technique detection have been ...
Year: 2013, Volume: 13, Number: 3
... . [15] show that Grover's quantum search of the quantum Fourier transform. algorithm [16] is applicable to image processing tasks such as pose recognition in ... systems for developing efficient a filter function, which in the frequency domain translates quantum algorithms is a challenging task. This is due to the into a multiplication operation ...
Year: 2017, Volume: 17, Number: 3
... The increasing numbers of persons that suffer from with LVQ (Learning Vector Quantization) algorithm in [8]. cardiovascular disease are one of the major problems in ... arrhythmia. Our approach uses with accuracy between 98.94% and 100%. three algorithms (Lempel-Ziv, Sample Entropy and T-Code) to Systems based on fuzzy logic ...
Year: 2018, Volume: 18, Number: 3
... processing, dictionaries. morphology, The system, named ARG, was a two-phase algorithm in natural language processing, text processing. which the paragraphs were classified according ... proposed two new LSA using the stop word list created for Turkish. based summarization algorithms. They presented a generic Later a morphological analyzer parses these words into extractive ...
Year: 2009, Volume: 9, Issue: 1
... the sensitivity optimization problem by repeating the following two steps. to problem formulation, algorithm selection and usually 1) Candidate solutions are constructed using a converge to local ... values. At run-time, ACO representing the generation cost and/or the transmission algorithms try to update the pheromone values in such a way loss. The constraints ...
186. Generic Feature Selection Methodology to Named Entity Detection from Indian and European Languages
Year: 2019, Volume: 19, Number: 1
... secondly k-means++ clustering [6] achieved a highest accuracy for English 88.76% and algorithm was used to validate the patterns obtained in the German 72.41% using maximum ... (SVM). These classifiers were trained on processing, machine learning, classification algorithms, the features and the resulted outcome were ensemble using supervised learning. various ...
Year: 2015, Volume: 15, Number: 4
... in literature based on the voltamperometric method uses a microcontroller that implements the temperature control algorithm and also the power supply method [14]. Based on this method ... with the two control loops in analog domain and the macromodel used to test the algorithms. Figure 8. The digital implementation of a PI controller. I ref ...
Year: 2013, Volume: 13, Number: 1
... remanding to [17] for details. The idea is to use a recursive algorithm that performs the SVD-based approximations of multivariate functions suitable to simplify a MIMO problem ... NN into a collection of net architecture; 2) choice of the best learning algorithms, parallel-optimized SISO NNs. Experimental results will be training methodology and stopping criteria ...
189. Impact of Photovoltaic Systems Allocation on Congestion in Distribution Network: Iraq Case Study
Year: 2022, Volume: 22, Number: 2
... random distribution of PVDGs in the distribution network can lead to An enhanced Sine Cosine Algorithm was proposed to obtain system security violations and congestion. Optimal allocation of the ... the mutation simulation in risking overvoltage. In this study, the proposed L other algorithms like the GA algorithm. However, the technique improves the voltage profile with ...
Year: 2018, Volume: 18, Number: 4
... Electrical and Computer Engineering Volume 18, Number 4, 2018 An Efficient Deep Learning Algorithm for Fire and Smoke Detection with Limited Data Abdulaziz NAMOZOV, Young Im CHO ... color, making it a traditional data augmentation techniques and generative complicated task for those algorithms to achieve high adversarial networks. Experimental results show that the accuracy in detecting ...
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