Search Results - statistical algorithm

USING ARTIFICIAL INTELLIGENCE AND COMPETITIVE ADVANTAGE IN OPERATIONS MANAGEMENT: A CASE STUDY OF ISLAMIC BANKS IN AMMAN, JORDAN by Khaled Abdulwahab Alzeaideen, Ala’a Abdulkarim Hamdan, Hazem Khaled Shehadeh, Majed Abdel-Mohdi Masadeh, Hala Alsabatin, Abdalmuttaleb Al-Sartawi, Waleed Nureldeen

“… This study seeks to examine the impact of utilising artificial intelligence (AI) including genetic algorithms, expert systems, neural networks, and intelligent agents on key dimensions of competitive advantage, namely cost, quality, delivery, and flexibility, within Islamic banks operating in the Governorate of Amman. …”
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A Novel Approach Utilizing Bagging, Histogram Gradient Boosting, and Advanced Feature Selection for Predicting the Onset of Cardiovascular Diseases by Norma Latif Fitriyani, Muhammad Syafrudin, Nur Chamidah, Marisa Rifada, Hendri Susilo, Dursun Aydin, Syifa Latif Qolbiyani, Seung Won Lee

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Interpretable machine learning approaches for predicting prostate cancer by using multiple heavy metal exposures based on the data from NHANES 2003–2018 by Zu-Ming You, Yuan-Sheng Li, Fan-Shuo Meng, Rui-Xiang Zhang, Chen-Xi Xie, Zhijiang Liang, Ji-Yuan Zhou

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Economic Development of the Latin American Integration Association: Trends and Prospects by M. N. Tolmachev, E. V. Nikiforova, A. P. Tsypin

“…In our opinion, the assessment of the position of the participating countries on the geopolitical map of the world deserves special attention.Purpose of the study consists in the formation of an author’s methodology for studying the economic development of countries that are members of the Latin American Integration Association and building a forecast in the medium term on the basis of statistical tools. Materials and methods. The study used general research methods, such as analysis, comparisons, historical, as well as mathematical and statistical, in particular tabular and graphical, descriptive statistics and elements of correlation-regression analysis. …”
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Max-Min Fairness for Stacked Intelligent Metasurface-Assisted Multi-User MISO Systems by Nipuni Ginige, Prathapasinghe Dharmawansa, Arthur Sousa De Sena, Nurul Huda Mahmood, Nandana Rajatheva, Matti Latva-Aho

“…To this end, we develop two max-min fairness algorithms based on instantaneous channel state information (CSI) and statistical CSI. …”
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Bounds on the Excess Minimum Risk via Generalized Information Divergence Measures by Ananya Omanwar, Fady Alajaji, Tamás Linder

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An overview of machine unlearning by Chunxiao Li, Haipeng Jiang, Jiankang Chen, Yu Zhao, Shuxuan Fu, Fangming Jing, Yu Guo

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SIGNAL AS A TOOL OF THE PHARMACOVIGILANCE by E. O. Zhuravleva, N. Yu. Velts, G. V. Kutekhova, M. A. Darmostukova, R. N. Alyautdin

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Optimisation of Approaches to Adverse Event Analysis in Bioequivalence Clinical Trials by A. B. Verveda, V. B. Vasilyuk, G. I. Syraeva, M. V. Faraponova

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A Smart Housing Recommender for Students in Timișoara: Reinforcement Learning and Geospatial Analytics in a Modern Application by Andrei-Sebastian Nicula, Andrei Ternauciuc, Radu-Adrian Vasiu

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IDENTIFICATION AUTOMATION OF THE DISTRIBUTION LAWS ON THE BASIS OF APPROXIMATE ANALYSIS OF THE EXPERIMENTAL DATA by T. V. VASILYEVA

“…An algorithm of identification automation of the distribution laws on the basis of approximate analysis experimental data is given in the article. …”
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Differential Diagnosis of Jejunum and Ileum Tumours Based on Video Capsule Endoscopy Data Using Mathematical Analysis by E. D. Fedorov, E. V. Ivanova, S. E. Rauzina, D. E. Seleznev, A. V. Budykina

“…The aim of this study was to develop an algorithm for identifying various types of jejunum and ileum tumour lesions based on video capsule endoscopy (VCE), which can be used by physicians in the process of decision making. …”
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Classification of finger movements through optimal EEG channel and feature selection by Murside Degirmenci, Yilmaz Kemal Yuce, Matjaž Perc, Matjaž Perc, Matjaž Perc, Matjaž Perc, Matjaž Perc, Yalcin Isler

“…Therefore, the objectives of this study are threefold: (i) to develop a more viable and practical system to predict the movements of five fingers and the no mental task (NoMT) state from EEG signals (ii) to analyze the effects of the statistical-significance based feature selection method over four different feature domains (nonlinear domain, time-domain, frequency-domain and time-frequency domain) and their combinations, and (iii) to test these feature sets with different and prominent classifiers.MethodsIn this study, our major goal is not to explore the best machine algorithm performance, but to investigate the best EEG channels and features that can be used in the classification of finger movements. …”
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The Significant Effects of Threshold Selection for Advancing Nitrogen Use Efficiency in Whole Genome of Bread Wheat by Mohammad Bahman Sadeqi, Agim Ballvora, Said Dadshani, Md. Nurealam Siddiqui, Mohammad Kamruzzaman, Ahossi Patrice Koua, Jens Léon

“…The problem of multiple comparisons arises when a statistical analysis involves multiple simultaneous statistical tests, each of them has the potential to be a discovery. …”
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METHOD FOR ESTIMATING THE DOPPLER FACTOR OF A BROADBAND SIGNAL UNDER CONDITIONS OF MULTIPLICATIVE INTERFERENCE WITH UNKNOWN PROBABILITY DISTRIBUTION by Pavlo Kostenko, Mykyta Alonkyn, Valeriy Slobodyanuk, Mykhailo Rovetskii, Ivan Rovetskii

“…The Doppler frequency of the signal is estimated by minimizing the objective function using the SG statistics of the observation. There was an investigated estimation quality of Doppler frequency by statistical modeling of the PSK signal, interference, and the objective function minimization algorithm. …”
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The Application of Machine Learning Algorithms to Predict HIV Testing Using Evidence from the 2002–2017 South African Adult Population-Based Surveys: An HIV Testing Predictive Mode... by Musa Jaiteh, Edith Phalane, Yegnanew A. Shiferaw, Haruna Jallow, Refilwe Nancy Phaswana-Mafuya

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Microstructure, mechanical and physical characteristics analysis of ADC14 hypereutectic AlSi composite reinforced with Al2O3 by Aqeel Ahmed Bhutto, Saidin Bin Wahab, Faheem Ahmed Solangi, Fayaz Hussain, Ding Zhou, T.M. Yunus Khan, Abdul Saddique Shaik

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Improvement of the management system of the pharmaceutical service of the health care institution by Ye.V. Zalyhina

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Bayesian and Non-Bayesian Inference for the Trigonometric Extended Rayleigh-Weibull Model Under Progressively Censored Data by Ahmed R. El-Saeed, Ibrahim Elbatal, Ehab M. Almetwally, Mohammed Elgarhy

“…Under a progressive Type-II censoring scheme, statistical inference for the parameters of the SRW model is a central focus of this study. …”
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Artificial intelligence as a potential tool for oxidative stress estimation in medicine by Yan Kazakov, Alexander Halperin, Khiena Brainina

“…After the results of linear statistical evaluations were not satisfactory enough, а multilayer perceptron classifier was constructed for data analysis. …”
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