MONITORING CONTROL OF AGRICULTURAL by N. T. Goncharov, V. A. Kolesnikova, I. I. Afonina, V. K. Khoroshenkov, I. S. Alekseev, S. E. Lonin, E. S. Luzhnova

“…High production costs of agricultural enterprises became one of the main problems of an agrarian industry. Special researches are necessary for minimization of costs due to implementation of information automated control system for the main objects of agricultural enterprise. …”
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Strategic Guidelines for the Improvement of Logistic Activities of Trade Enterprises by Tatyana Valerievna Shtal, Anastasiya Ievgenievna Uvarova, Nadiia Viktorivna Proskurnina, Nataliia Leonidivna Savytska

“…The article compares the main reference models for the analysis of logistics activities and found the most appropriate for use - SCOR model, which identified the main indicators for evaluating the performance of logistics activities. …”
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Analysis, Optimization, and Hardware Implementation of Dipole Antenna Array for Wireless Applications by Norun Abdul Malek, Rob D. Seager, James A. Flint, Zuhairiah Zainal Abidin

“…In this paper, a 2 by 2 dipole antennas with an RF beamforming circuit has been designed to steer the main beam along the azimuth plane. The main beam coverage from 100° to 140° with a step size of 10° has been successfully optimized using a hybrid of the induced EMF method and a genetic algorithm. …”
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Qutrit Control for Bucket Brigade RAM Using Transmon Systems by Lazaros Spyridopoulos, Dimitris Ntalaperas, Nikos Konofaos

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Parameter Design and Performance Optimization of Aerostatic Bearing by YANG Chunmei, CAO Bingzhang

“…In this paper, problems such as loadcarrying capacity, low stiffness, and vibration caused by large volume flow rate of aerostatic bearing has been studied In order to solve these problems, the particle swarm optimization algorithm is used to optimize the key parameters of throttle orifice on aerostatic bearing The simplified twodimensional Reynolds equation is solved by finite element method and the mathematical model is built Based on this model, the main performance parameters such as loadcarrying capacity, stiffness and volume flow rate of aerostatic bearing are calculated The coupling relationship between the structural dimension parameters which determining the main performance of aerostatic bearing is analyzed The multiobjective optimization design of the structural dimension parameters is carried out by particle swarm optimization With the simulation calculation of the aerostatic bearing, the loadcarrying capacity, stiffness, volume flow rate and other relevant performances are calculated The main performance of the optimized aerostatic bearing is compared with the original data The results show that compared with the performance before optimization, the loadcarrying capacity, stiffness of the aerostatic bearing are increased by 17%, 363% and the volume flow rate is decreased by 434% And the problems such as low loadcarrying capacity, low stiffness, and vibration caused by large volume flow rate of aerostatic bearing has been solved…”
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Gestational diabetes mellitus and obesity: effects on offspring by O. V. Rozhkova, O. V. Remneva, N. I. Fadeeva, Yu. V. Korenovskiy, S. D. Yavorskaya

“…Obesity, late reproductive age, family history of type 2 diabetes mellitus, abortions, early reproductive losses, macrosomic delivery in history are the main risk factors for GDM development. An algorithm was developed that allowed to predict a risk of newborn perinatal pathology in mother with GDM with an overall percentage of correct predictions of 68.7 ± 3.8 %. …”
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Adaptive Security Solutions for NOMA Networks: The Role of DDPG and RIS-Equipped UAVs by Syed Zain Ul Abideen, Abdul Wahid, Mian Muhammad Kamal

“…This method not only shows how flexible and successful the DDPG algorithm is at protecting wireless communications when used in conjunction with an RIS but it also highlights how much the algorithm has advanced secure communication systems.…”
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Revealing the assembly of filamentous proteins with scanning transmission electron microscopy. by Cristina Martinez-Torres, Federica Burla, Celine Alkemade, Gijsje H Koenderink

“…STEM-based mass mapping coupled with our tracking algorithm is therefore a powerful technique in the characterization of a wide range of biological and synthetic filaments.…”
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A Novel Bioinspired Vision System: A Step toward Real-Time Human-Robot Interactions by Abdul Rahman Hafiz, Fady Alnajjar, Kazuyuki Murase

“…Achieving a sophisticated robot's vision system, which can enhance the robot's real-time interaction ability with the human, is one of the main keys toward realizing such an autonomous robot. …”
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Sentiment Analysis of Tweets on Prakerja Card using Convolutional Neural Network and Naive Bayes by Pahlevi Wahyu Hardjita, Nurochman, Rahmat Hidayat

“…Naive Bayes is an algorithm that is often used in sentiment analysis research, and the results have been very good. …”
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Infrared Small Target Detection, High-Precision Localization and Segmentation: Using TDU Kernel by C. Ding, S. Chen, H. Liu, Z. Luo, J. Zhang

“…Aiming at the challenge of infrared small target detection with different shape and size under the different scene, a novel algorithm architecture is proposed using the kernel of Target Detection Unit (TDU). …”
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VELOCITY GRADIENT OF THE FLOOR EXERCISE by Marina Petrova, Bonka Dimitrova

“…The aim of the research is to establish the role of the velocity gradient for the learning algorithm in a multi-annual aspect and on floor exercise. …”
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ORGANIZATIONAL DEVELOPMENT BASED ON THE FORMATION OF INTELLECTUAL CAPITAL by S. S. Gavrina

“…Therefore, a concept of intellectual capital management is proposed.The general algorithm of company development through the human capital formation proposed in the paper includes six main steps. …”
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A Generalized Deep Reinforcement Learning Model for Distribution Network Reconfiguration with Power Flow-Based Action-Space Sampling by Nastaran Gholizadeh, Petr Musilek

“…The proposed algorithm comprises two main parts. The first part, named action-space sampling, aims at analyzing the network structure, finding all feasible reconfiguration actions, and reducing the size of the action space to only the most optimal actions. …”
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Application of Surface Roughness Analysis on Micro–Computed Tomographic Images of Bone Erosion: Examples Using a Rodent Model of Rheumatoid Arthritis by Matthew D. Silva, Jason Ruan, Elizabeth Siebert, Anneli Savinainen, Bruce Jaffee, Lisa Schopf, Sudeep Chandra

“…The main advantage of such an algorithm is demonstrated in the preclinical drug study of rat CIA with methotrexate treatment, indicating the immediate utility of this approach in drug development studies.…”
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Evaluation of Land Use Change Trends Using Landscape Measurements (Case Study: Pakdasht City) by Alireza Thernasab, Leila Ebrahimi, Ameneh Haghzad, Mehrdad Ramezan Por

“…These images were classified in ENVI 5.3 software based on the maximum likelihood algorithm. Then the accuracy of the maps obtained from the maximum likelihood algorithm was estimated. …”
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Blending Control of Trolleybus Traction and Brake Drives to Enhance Braking Efficiency of Vehicle by A. I. Safonau

“…The author has focused his main attention on the development of an algorithm for blending control of the traction electric motor and the anti-lock braking system to enhance the overall braking efficiency of a vehicle. …”
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Light Linear RSS-Based Sensor Localization with Unknown Transmit Power by Tikhonov-regularization by Hassan Nazari, M. R. Danaee

“…Simulation results show the efficacy of the proposed algorithm in comparison to the other methods for both typical RSS-based measurement data model and the modified model for indoor application.…”
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Feedforward Nonlinear Control Using Neural Gas Network by Iván Machón-González, Hilario López-García

“…Nonlinear systems control is a main issue in control theory. Many developed applications suffer from a mathematical foundation not as general as the theory of linear systems. …”
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Concrete Crack Skeleton Analysis: A Machine Vision Approach to Feature Extraction by Rui Wang, Xinxin Guo, Jiaxuan Liu, Yu Wan

“…The test data show that the algorithm has good adaptability and the accuracy is higher than 90%. …”
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