On Classification of the Human Emotions from Facial Thermal Images: A Case Study Based on Machine Learning by Marius Sorin Pavel, Simona Moldovanu, Dorel Aiordachioaie

“…By carrying out a comparative analysis, the main goal of the paper consists in identifying a suitable algorithm from machine learning field, which has the highest accuracy (ACC). …”
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Robust Trajectory and Resource Optimization for Communication-Assisted UAV SAR Sensing by Mohamed-Amine Lahmeri, Walid R. Ghanem, Christina Bonfert, Robert Schober

“…Furthermore, to assess the performance of the sub-optimal algorithm, we derive an upper bound on the optimal solution based on monotonic optimization theory. …”
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UNCERTAINTY OF THE RESULTS OF THE RADON CONTROL IN HOUSINGS. PART 2. EXPERIMENTAL ASSESSMENT OF THE TEMPORAL VARIATIONS OF RADON by A. A. Tsapalov, S. M. Kiselev, A. M. Marennyy, K. L. Kovler, S. I. Kuvshinnikov, A. S. Yankin

“…This coefficient equalizes the main component of the uncertainty of the average annual level of radon depending on the protocol and duration of measurements. …”
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Speech Recognition using Wavelets and Improved SVM by Emad Ahmed Hussien, Mohannad Abid Shehab Ahmed, Haithem Abd Al-Raheem Taha

“…The proposed SVM approach can convert local Euclidean distances between frame vectors to angles by projecting these -dimensional vectors together, and get the minimum global distance from the non-linear aligned speech path in order to address audio classification, and hence, sound recognition.The DWT for each frame of the spoken word are taken as a tool for extracting the main feature as a data code vectors, next these data is normalized utilizing the normalized power algorithm that is used to reduce the number of feature vector coefficients then these data is scaled and tested with those stored of the training spoken words to achieve the speaker identification tasks, also the DWT gives fixed amount of data that can be utilized modesty by SVM.Finally, the proposed method is tested and trained upon a very large data base with results limited to ten speakers only (5 males and 5 females) with words of maximally 17 phenomena and its performance gives an accurate and stable results which rises the algorithm efficiency and reduce the execution time with 97% overall  accuracy. …”
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LANDSCAPE AND RECREATIONAL CAPACITY OF THE TERRITORY OF CAUCASUS MINERALNYE VODY REGION FOR TOURISM DEVELOPMENT by V. S. Proskurin

“…After calculation for each ground classiication of components by a 5-ball scale on the basis of an algorithm of natural borders Dzhenkens was carried out. …”
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Control of Nonlinear Systems Using Fuzzy Techniques Based on Incremental State Models of the Variable Type Employing the “Extremum Seeking” Optimizer by Basil Mohammed Al-Hadithi, Gilberth André Loja Acuña

“…This work presents the design of a control algorithm based on an augmented incremental state-space model, emphasizing its compatibility with Takagi–Sugeno (T–S) fuzzy models for nonlinear systems. …”
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Which B2 Fractures Can Be Treated with ORIF? Validation of the “Beyond the Vancouver Classification” by Karl Stoffel, Martin Clauss, Marlene Mauch

“…A combined radiological and clinical score was used as the main outcome measure. Patients categorized according to the Beyond the Vancouver classification were compared for functional outcome. …”
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Efficient Neural Network Control of a Brushless DC Motor by A. A. Vеlchеnko, S. A. Pauliukavеts, A. A. Radkеvich, A. K. Ibrahim

“…Based on the results of the neural network research and analysis of the BP neural network algorithm, a control algorithm has been established that is used to control the PID controller and is encapsulated in the simulation system. …”
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Intelligent Diagnosis of Rolling Element Bearings Under Various Operating Conditions Using an Enhanced Envelope Technique and Transfer Learning by Ali Davoodabadi, Mehdi Behzad, Hesam Addin Arghand, Somaye Mohammadi, Len Gelman

“…The results show that transfer learning with fine-tuning, combined with the resonance region identification algorithm, significantly enhances fault detection accuracy. …”
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An intelligent incentive-based demand response program for exhaustive environment constrained techno-economic analysis of microgrid system by Bishwajit Dey, Gulshan Sharma, Pitshou N. Bokoro, Soham Dutta

“…Abstract The cost-effective scheduling of distributed energy resources through sophisticated optimization algorithms is the main focus of recent work on microgrid energy management. …”
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ONLINE FUZZY CLUSTERING OF HIGH DIMENSION DATA STREAMS BASED ON NEURAL NETWORK ENSEMBLES by Yevgeniy Bodyanskiy, Iryna Perova, Polina Zhernova

“…The following results are obtained - the main idea of the proposed approach is based on a modification of the fuzzy C-means algorithm. …”
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Machine learning with hyperparameter optimization applied in facies-supported permeability modeling in carbonate oil reservoirs by Watheq J. Al-Mudhafar, Alqassim A. Hasan, Mohammed A. Abbas, David A. Wood

“…Machine learning (ML) algorithms are now widely applied to predict core permeability using conventional well logs to build a model for permeability prediction in uncored wells. …”
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Probabilistic back analysis method for determining surrounding rock parameters of deep hard rock tunnel by WU Zhong-guang, WU Shun-chuan

“…Uncertainty of tunnel wall parameters is one of main factors that contribute to tunnel construction risk. …”
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COMPUTER SIMULATION OF ANTIFERROMAGNETIC STRUCTURES DESCRIBED BY THE THREE-VERTEX ANTIFERROMAGNETIC POTTS MODEL by Yarash K. Abuev, Albert B. Babaev, Pharkhat E. Esetov

“…This method is implemented using the Metropolis algorithm in combination with the Wolff claster algorithm. …”
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Architecture and Operational Control for Resilient Microgrids—A University Case Study by Alexandre F. M. Correia, Miguel Antonio Goncalves Neves, Ana Isabel Casal Dos Reis, Antonio Paulo Coimbra, Tony Richard de Oliveira de Almeida, Pedro Moura, Anibal T. de Almeida

“…This paper aims to propose an algorithm for the management of electric microgrids, emphasizing resiliency in critical and disaster situations. …”
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Method and device for three-parameter eddy current control of metal rods by Mykola Sirenko, Boris Gorkunov, Serhii Lvov, Tetiana Drozdova

“…Results obtained: the main mathematical expressions were found that link the measured parameters of the primary transducer signal with the information geometric, magnetic and electrical parameters of the controlled metal product; a device and an algorithm for implementing the proposed method were developed, based on finding the frequency of the field of the electromagnetic transducer with a rod, which corresponds to the extremum of its conversion function in the case of compensating for the influence of the air gap between the transducer and the rod; the use of extreme points of the sensor conversion functions with the product when implementing measurements allows achieving the highest sensitivity to the parameters being measured; the developed method and device allow increasing the resolution of the transducer to geometric magnetic and electrical parameters, which are 2%, 5% and 8%, respectively. …”
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Prediction of COD Degradation in Fenton Oxidation Treatment of Kitchen Anaerobic Wastewater Based on IPSO-BP Neural Network by Tianpeng Zhang, Pengfei Ji, Dayong Tian, Rui Xu

“…The improved particle swarm optimization (IPSO) algorithm is used to optimize the back propagation (BP) neural network, and a prediction model of COD degradation is established based on IPSO-BP neural network. …”
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Real Time Fractional Robust Adaptive Scheme for Frequency Regulation in Double Area Hybrid Power System With Renewables by Ahmed Ragab, Dalia Allam, Ahmed F. Zobaa, Hazem Ali Attia

“…Control scheme of two main parts has been introduced. The first one is a novel fractional order model reference adaptive controller where fractional calculus merits and e-modification robust algorithm have been merged with the adaptive skills creating the fractional order model reference robust-adaptive controller. …”
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Seismic clusters and fluids diffusion: a lesson from the 2018 Molise (Southern Italy) earthquake sequence by Stefania Gentili, Piero Brondi, Giuliana Rossi, Monica Sugan, Giuseppe Petrillo, Jiancang Zhuang, Stefano Campanella

“…We found a relative quiescence of several months between the main events of April and August, the tendency of the events to propagate upwards, and a migration of the seismicity consistent with a fluid-driven mechanism. …”
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Predictive risks assessment of power supply interruption to oil production consumers, taking into account changes in significant factors by V. M. Levin, N. P. Guzhov

“…A computational procedure has been developed that includes mathematical models and an algorithm for prioritizing equipment with a strategy "according to technical condition" when putting it into repair based on a forecast of the risks of power supply disruption to consumers. …”
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