778 results found.
Year: 2020, Volume: 20, Number: 3
... . edge-preserving smoothing of the digital images, where it was shown that the developed algorithm overcomes some of Index Terms — filtering algorithms, fuzzy logic, image the ... of the existing smoothing filters and is enhancement, robots, stereo vision. conceived as an extension of the edge-preserving Maximum Homogeneity Neighbor Filter. The proposed procedure I ...
Terms matched: 2 - Score: 80 - 1,814k
Year: 2020, Volume: 20, Number: 3
... thought as Some algorithms in this category are: Genetic algorithm, servers, and the duration of stay is ... the fact that the ICU capacity is optimization method genetic algorithms for optimizing the exceeded in many hospitals [2-4 ... Belciug, F. Gorunescu, "A hybrid genetic algorithm-queueing Based Optimization in Resource Constrained Project Scheduling multi-compartment model ...
Terms matched: 3 - Score: 154 - 1,239k
Year: 2020, Volume: 20, Number: 3
... M. T. Ã-zdemir, "Design Optimization of Inverted Switched Reluctance Motor using Ant Colony Optimization In this paper, the effects of the stator and rotor pole Algorithm," 2018 International Conference on Artificial Intelligence shapes on the performance of the Switched Reluctance and Data Processing (IDAP), Malatya, Turkey, 2018. ...
Terms matched: 1 - Score: 3 - 1,411k
Year: 2020, Volume: 20, Number: 3
... Virgili, Tarragona, Spain, luis.guasch@urv.cat 1 Abstract — The paper presents two fuzzy logic control of the computers and power electronics. This allows to lead algorithms: type-1 and type-2. These two nonlinear techniques to the industrial processes of high performances [9, 10, 11]. are used for adjust the ...
Terms matched: 1 - Score: 14 - 1,978k
Year: 2020, Volume: 20, Number: 3
... Magnetic Resonance Imaging(MRI) images. Experiments However, in any machine learning algorithm, feature are carried out on an ADNI dataset and the results obtained extraction ... , 2020 Diagnosis of Alzheimer's Disease from Brain Magnetic Resonance Imaging Images using Deep Learning Algorithms Ravi Chandaran SUGANTHE1, Rukmani Sevalaiappan LATHA1, Muthusamy GEETHA1, Gobichettipalayam Ramakrishnan SREEKANTH2 ...
Terms matched: 2 - Score: 97 - 1,379k
Year: 2020, Volume: 20, Number: 3
... Engineering Volume 20, Number 3, 2020 Effective Wavelet Algorithm for an Automatic Detection of Atrial Fibrillation Beatrice ARVINTI1 ... is highly irregular. Related risk Index Terms — adaptive algorithms, biomedical signal factors of AF are high blood ... has been studied, to draw accurate conclusions about the algorithm's performances. The irregularity of the RR-interval succession can ...
Terms matched: 3 - Score: 97 - 1,509k
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 ...
Terms matched: 2 - Score: 91 - 1,290k
Year: 2020, Volume: 20, Number: 3
... Langevin equation (2) is a special type of differential equation, called stochastic because it presents a noise term. To solve this equation, the Runge-Kutta fourth-order algorithm was used in several software packages. In this work the software Matlab version R2014 was used. Eq. (2) was discretized to obtain a numerical ...
Terms matched: 1 - Score: 3 - 2,048k
Year: 2020, Volume: 20, Number: 3
... . Bounechba, A. Bouzid, H. Snani, and A. Lashab, "Real time 2018. doi:10.1109/IECON.2018.8591256. simulation of MPPT algorithms for PV energy system," Int. J. Electr. [21] D. Tormo, R. Vidal-Albalate, L. Idkhajine, E. ...
Terms matched: 1 - Score: 3 - 1,807k
Year: 2020, Volume: 20, Number: 3
... Our method for this is to pick the image which manually or by an automatic algorithm. It is desirable that has the least number of under-exposed and over-exposed the ... of moving pixels are corrected with their work in [15] groups the de-ghosting algorithms into three expected values which can be estimated from the intensity categories: moving ...
Terms matched: 2 - Score: 53 - 1,263k