Design of Conveying Control System for Sugarcane Harvester Based on Machine Vision by Xiao Lai, Xiao Lang

“…The mismatch between the conveying capacity of sugarcane harvesters and the feeding amount is the main cause of blockages in the conveying system. …”
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An LSTM deep learning framework for history-based tornado prediction using meteorological data and damage assessment using NDVI anomalies by Omid Memarian Sorkhabi

“…This study focused on tornadoes that occurred on December 10 and 11, 2021 in the state of Kentucky. The main goal of this research was to develop a deep learning algorithm based on history to predict this phenomenon. …”
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Distributed Constraint Optimization with Flocking Behavior by Zhengquan Yang, Qing Zhang, Zengqiang Chen

“…First, a bounded potential function to construct the controller is given and a distributed optimization algorithm that makes a group of agents avoid collisions during the evolution is presented. …”
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Segmentation of speech on phonetic elements for systems of speech information protection by Y. N. Seitkulov, S. N. Boranbayev, A. V. Patapovich, H. V. Davydau

“…The article is devoted to the development of speech segmentation algorithm on phonetic elements for the synthesis of speech-like signals in speech information protection systems. …”
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The machine learning in the prediction of elections by M.S.C. José A. León-Borges, M.A. Roger-Ismael-Noh-Balam, Lic. Lino Rangel Gómez, Br. Michael Philip Strand

“…When working with electoral data, these are classified in a qualitative and quantitative way, by such virtue at the end of this article you will have the elements necessary to decide, which software, has better performance for such learning of classification. The main reason for the development of this work, is to demonstrate the efficiency of algorithms, with different data types. …”
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Exports of goods and services: common and distinguishing features of accounting and taxation by I.V. Zhyhlei, D.S. Osipchuk

“…Their dynamics for 2013–2018 is investigated, the main tendencies of volumes of supply of goods and services to non-residents are determined. …”
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Educational improvement through machine learning: Strategic models for better PISA scores. by Bilal Baris Alkan, Serafettin Kuzucuk, Şevki Yetkin Odabasi, Leyla Karakuş

“…In this study, in addition to traditional variables such as economic wealth or the number of books read, on which many studies have already been conducted, variables that are thought to influence student achievement and better predict success are identified. Random Forest algorithm was used to identify important variables based on the PISA 2018 data, covering all three domains of science, mathematics and reading. …”
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Hybrid System for Speech Coding Based on Contourlet Transformation by Khalil Alsaif, Hadia Albadrani

“…The main objective of speech coding is to allow the transmission of speech over digital channel of the highest speech quality and least possible bit rate, beside the security purpose.             …”
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Industrial policy and subsoil use: an integration of science, education and industry by Yu. B. Vinslav, S. V. Lisov

“…The organizational-management algorithm of creation of educational-scientific-industrial cluster is recommended.…”
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Features of Internal Control of Insurance Companies by A. О. Fokina

“…The author defines the algorithm of internal control system formation, features and requirements to the system in insurance companies. …”
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FINANCIAL RISKS OF AGRO-INDUSTRIAL COMPLEX ENTERPRISES IN THE CONDITIONS OF A PANDEMIC AND IMPLEMENTATION OF ANTI-CRISIS MEASURES FOR THEIR LEVELING by Yaroslav YANYSHYN, Andriy KOLODIY, Iryna KOLODII

“…The purpose of the article is to substantiate the main risks for agro-industrial enterprises in a pandemic and to form solutions for their optimization. …”
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Application of Interval Neutrosophic Logic Model for Diagnosis of Cattle Disease by Lola Safarova, Dilnoz Muhamediyeva, Sokhibjan Muminov, Seyyed Ahmad Edalatpanah

“…Based on the theory of interval neutrosophic sets, an algorithm has been developed that takes into account the degree of likelihood, falsity, and uncertainty, which ensures more accurate modeling and analysis. …”
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MEMS Inertial Navigation Technology and Its Application and Prospect by WANG Siyuan, HAN Songlai, REN Xingyu, LUO Shilin

“…MEMS inertial navigation technology based on micro-electro-mechanical system (MEMS) inertial sensors is a research hotspot in recent years and one of the main future development directions in the field of inertial navigation. …”
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Fever of unknown origin in rheumatology by A. V. Gordeev, N. M. Savushkina, E. A. Galushko

“…The authors present a differential diagnostic algorithm for managing patients with FUO and analyze the diagnostic value of the most significant laboratory and instrumental studies. …”
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Self-Organized Clustering Architecture for Vehicular Ad Hoc Networks by Cándido Caballero-Gil, Pino Caballero-Gil, Jezabel Molina-Gil

“…Full definitions of all the architecture procedures are provided, including a cluster-head selection algorithm based on a version of the independent set problem and a secret-key agreement scheme that uses the generalized Diffie-Hellman protocol. …”
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Application of the Fuzzy Computational Intelligence in Power Quality Data Management by Hoda Farag

“…<p>In Electrical Power Distribution System the sustained availability and quality of electric power are the main challenge they need to satisfy so overcoming the power quality (PQ) degradation became an asset. …”
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Planetary Gearbox Fault Diagnosis based on LMD Sample Entropy and ELM by Zhang Ning, Wei Xiuye, Xu Jinhong

“…In order to solve the difficult problem of early fault feature extraction of planetary gearbox and consider that the planetary gearbox vibration signal is coupling and nonlinear，and the signal has multiple transmission paths，a planetary gearbox fault diagnosis method based on Local Mean Decomposition（LMD） and Sample Entropy and Extreme Learning Machine（ELM） is proposed.Firstly，the vibration signal is adaptively decomposed into a plurality of PF components by LMD，and the first four PF components including the main fault information are selected in combination with the correlation coefficient and the variance contribution rate.Secondly，the Sample Entropy of the signal is calculated to form a feature vector.Finally，the feature vector is input into ELM for fault classification.Experiments are carried out on the planetary gearbox test bench，compared with the probabilistic neural network classification algorithm，and compared with the feature vector based on Singular Value Decomposition （SVD）.The results verify the effectiveness of the proposed method.…”
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Fuzzy optimum PSO: PSO with optimized fuzzy controllers by Omid Mokhlessi, Seyed Hamid Zahiri, Nasser Mehrshad

“…In this paper, a new algorithm called Fuzzy Optimum PSO (FOPSO) has been introduced. …”
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Rheumatoid Arthritis-Associated Interstitial Lung Disease: Diagnostic Dilemma by Mark J. Hamblin, Maureen R. Horton

“…In this paper we will explore an effective clinical algorithm for the diagnosis of RA-ILD. We will also discuss features of drug-related toxicities, infections, and environmental toxins that comprise the main entities in the differential diagnosis of RA-ILD. …”
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Techniques of Finding Lower Bounds in Multi Objective Functions by Ayad Ramadhan, Adil Jabbar

“…In this paper, the problm of sequencing n jobs on one machine is considered with a multi objective function.Two problems have been studied, sum of completion times added with the maximum tardiness () and sum of completion times with the maximum tardiness (), the first one has optimal solution solved by Branch and bound technique, the second has efficient solutions founded by Van Wassenhove algorithm.A theorem is presented to show a relation between the number of efficient solutions, lower bound (LB) and optimal solution.This theorem restricts the range of the lower bound, which is the main factor to find the optimal solution.Also the theorem opens algebraic operations and concepts to find new lower bounds. …”
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