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Parag C. Pendharkar
This paper proposes a genetic algorithm-based Markov Chain approach that can be used for non-parametric estimation of regression coefficients and their statistical confidence bounds. The proposed approach can generate samples from an unknown probability ...
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Krzysztof S. Kula
This paper describes a novel method for the online identification of an analog second-order plus dead time (SOPDT) model. It requires the measurement of four physical quantities, for which a relay is used. Based on these measurements, the parameters of t...
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Abdel-Rahman Hedar, Amira A. Allam and Alaa Fahim
Generating practical methods for simulation-based optimization has attracted a great deal of attention recently. In this paper, the estimation of distribution algorithms are used to solve nonlinear continuous optimization problems that contain noise. One...
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Akhram Khasnovich Nishanov,Gulomjon Djurayev,Malika Akhramovna Khasanova
The paper examines the issues of diagnosis and treatment of cardiovascular diseases, commonly encountered in diagnostic decision-making, when medical data are processed. The issues of classification of heart diseases and detection of informative signs ar...
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Juan A. Lazzús
Pág. 273 - 281
A simple group contribution method for the prediction of the freezing point for several ionic liquids is presented. Liquids have a characteristic temperature, known as their freezing point, at which they turn into solids. The melting point of a solid sho...
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Andreas Rauh, Luc Jaulin and Julien Alexandre dit Sandretto
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Martin Kenyeres and Jozef Kenyeres
Determining the network size is a critical process in numerous areas (e.g., computer science, logistic, epidemiology, social networking services, mathematical modeling, demography, etc.). However, many modern real-world systems are so extensive that meas...
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Evgeny Eremin
Pág. 41 - 46
During the operation of on-board optoelectronic devices and spacecraft systems, there is a need to evaluate such energy parameters as sensitivity and dynamic range. These parameters directly affect the possibility of detecting space objects, as well as o...
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Youngdoo Son and Wonjoon Kim
Estimating stature is essential in the process of personal identification. Because it is difficult to find human remains intact at crime scenes and disaster sites, for instance, methods are needed for estimating stature based on different body parts. For...
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Majid Nazeer, Muhammad Bilal, Mohammad M. M. Alsahli, Muhammad Imran Shahzad and Ahmad Waqas
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Zidane Mohammed,Said Safi,Mohamed Sabri,Ahmed Boumezzough
Pág. 66 - 71
In this paper the problem of the Non MinimumPhase (NMP) channel identification using blind and adaptivealgorithms is theoretically and numerically evaluated in noiseenvironment case for different signal to noise ratio (SNR). Forthis problem, three blind ...
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Tom Burr, Andrea Favalli, Marcie Lombardi and Jacob Stinnett
Radioisotope identification (RIID) algorithms for gamma-ray spectroscopy aim to infer what isotopes are present and in what amounts in test items. RIID algorithms either use all energy channels in the analysis region or only energy channels in and near i...
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Xingbo Lu, Weiwei Yang, Yueming Cai and Xinrong Guan
Compressed sensing (CS) has great potential in channel estimation for millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems. To solve such a CS-based channel estimation problem, three categories of algorithms, namely convex relax...
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Nikolay Ivanovskii, Sergei G. Chernyi, Anton Zhilenkov and Vitalii Emelianov
The article examines the synthesis of algorithms for the estimation of the random parameters of ship movement models, based on measured information in field tests. In addition, accuracy analysis of the synthesized algorithms is provided. The derived algo...
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Minjeong Kim, Daseon Hong and Sungsu Park
This paper presents two amplitude comparison monopulse algorithms and their covariance prediction equation. The proposed algorithms are based on the iterated least-squares estimation method and include the conventional monopulse algorithm as a special ca...
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Yong Tian, Bizhong Xia, Mingwang Wang, Wei Sun and Zhihui Xu
State of charge (SOC) estimation is essential to battery management systems in electric vehicles (EVs) to ensure the safe operations of batteries and providing drivers with the remaining range of the EVs. A number of estimation algorithms have been devel...
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Waqas Ahmed, Khan Muhammad, Hylke Jan Glass, Snehamoy Chatterjee, Asif Khan and Abid Hussain
Geostatistical estimation methods rely on experimental variograms that are mostly erratic, leading to subjective model fitting and assuming normal distribution during conditional simulations. In contrast, Machine Learning Algorithms (MLA) are (1) free of...
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Muhammad Emad-Ud-Din and Ya Wang
In the past decade, different sensing mechanisms and algorithms have been developed to detect or estimate indoor occupancy. One of the most recent advancements is using networked sensor nodes to create a more comprehensive occupancy detection system wher...
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Ami Munshi,Srija Unnikrishnan
Pág. 13 - 19
In this paper, the optimality of Compressive Sensing based Least Square (LS-CS) and Compressive Sensing based Minimum Mean Square (MMSE-CS) channel estimation algorithms in Multi Input Multi Output (MIMO) Orthogonal Frequency Division Multiplexing (OFDM)...
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