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2121
Cost–effective use of chatbot in the activities of a trading company
Published 2022-03-01“…Using the visual editor of the ROBIN platform, an algorithm for the operation of an automated system is proposed. …”
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2122
FORMATION OF CORPORATE INFORMATION SYSTEMS (CIS) IN THE OIL AND GAS COMPLEX OF RUSSIA
Published 2022-03-01“…The classification and main characteristics of the recommended CIS are given.…”
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2123
Static Levitation Track Parameter Identification for Maglev Train
Published 2015-01-01“…A method of main parameters identification in the process of track coupling vibration was proposed, and according to the obtained parameters, control algorithms to control the track resonance was designed. …”
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2124
METAL CHIP HEATING PROCESS INVESTIGATION (Part 3)
Published 2008-04-01“…The numerical solution algorithm of mathematical model of metal chip heating process in continuous muffle furnace and computer calculation program that allow to determine the heat- and mass transfer parameters have been worked out. …”
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2125
Peculiarities of determining strategic goal of formation of integrated structures in industry
Published 2017-08-01“…The types of such structures’ participants and principles of their formation also have determined, the algorithm of goal-setting is built, which is based on the principles of strategic planning.…”
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2126
ALGORITMA BACK PROPAGATION NEURAL NETWORK UNTUK PENGENALAN POLA KARAKTER HURUF JAWA
Published 2010-12-01“…Back Propagation Neural Network (BPNN) is a type of algorithm in Neural Network that can be use for Javanese alphabets character recognition. …”
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2127
Iterative methods for nonlinear quasi complementarity problems
Published 1987-01-01“…We also discuss the convergence criteria and several special cases, which can be obtained from our main results.…”
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2128
ADAPTIVE OPTICAL SYSTEMS LIGHTING EQUIPMENT VEHICLES
Published 2015-04-01“…This article describes the main principles of implementation of modern adaptive signal lighting equipment of vehicles, provides an analysis of optical systems are used, the necessity of the use of LEDs. …”
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2129
Research on Air Quality Monitoring System and Evaluation Method in Closed Environment
Published 2019-02-01“…A modular design method is used to design a closed air quality monitoring system, The air quality monitoring system is composed of a main board and detection modules. When the measured closed environment is changed, it is only necessary to add or reduce the corresponding detection module, which increases the flexibility of the system and the convenience of later maintenance, and evaluation algorithm based on fuzzy mathematics is established. …”
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2130
An Improved Cooperative Control Method for Hybrid Unmanned Aerial-Ground System in Multitasks
Published 2020-01-01“…The cooperative control in complex multitasks using unmanned aerial vehicle and unmanned ground vehicle (UAV/UGV) is an important and challenging issue in the multirobot cooperative field. The main goal of the task studied in this paper is to minimize the time and energy consumed by the system to complete the assigned tasks. …”
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2131
A Half Decade Reviews and Controller Design for the Bergman Diabetic Patient Model
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2132
A Comparison of the Performance of Ensemble Tree and Neural Networks for The Prediction of Traffic Accident Duration
Published 2024-05-01“…R², MSE, RMSE and MAE metrics were used for the performance measures of the algorithms applied in this paper. It was found that the Ensemble Tree algorithm achieved an R-Square of 0.85 in training, while the Neural Networks algorithm performed better with 0.91 in testing.…”
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2133
Traffic and Obstacle-Aware UAV Positioning in Urban Environments Using Reinforcement Learning
Published 2024-01-01“…Maintaining Line-of-Sight (LoS) in such environments, especially at higher frequencies, is crucial for ensuring reliable communication networks with high capacity, particularly in environments with obstacles. The main contribution of this paper is a traffic- and obstacle-aware UAV positioning algorithm named Reinforcement Learning-based Traffic and Obstacle-aware Positioning Algorithm (RLTOPA), for such environments. …”
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2134
A New Method for Defuzzification and Ranking of Fuzzy Numbers Based on the Statistical Beta Distribution
Published 2016-01-01“…The algorithm is illustrated through several numerical examples and it is then compared with some of the other methods provided by literature.…”
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2135
Deep-Learning-Based 3D Reconstruction: A Review and Applications
Published 2022-01-01“…According to other restoration applications, the main 3D model retrieval algorithms can be divided into two categories: (1) 3D standard restoration methods supported by the model, i.e., both the restored object and the recalled object are 3D models. …”
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2136
PROCESSING IMAGES OF SALES RECEIPTS FOR ISOLATING AND RECOGNISING TEXT INFORMATION
Published 2020-01-01“…Methods are also been proposed aimed at improving the developed algorithm.…”
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2137
Management Decisions under Uncertainty Using Controlling Tools
Published 2023-04-01“…The study analyzes the main approaches to the process of making managerial decisions at the university. …”
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2138
Loop-invariant Optimization in the Pifagor Language
Published 2018-08-01“…However, the algorithm for transforming recursive functions may be applied to other programming languages.…”
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2139
CLUSTER AND CONJOINT ANALYSIS FOR DETERMINING ONLINE SHOP SHOPEE CUSTOMERS PREFERENCE BASED ON E-SERVICE QUALITY
Published 2021-06-01“…Customer preference is one of the main factors in shaping a business strategy. This research discusses the use of cluster analysis to segment Shopee's e-commerce customers based on sociodemographic characteristics with k-means algorithm and conjoint analysis to determine which e-service quality attributes are most important to each cluster. …”
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2140
Prediction Model of Water Demand for Scouring Siltation in Coastal River Networks Based on APSO and SVM: A Case Study of Doulong Port
Published 2024-01-01“…A predictive model of water demand for scouring siltation was constructed, which combined adaptive particle swarm optimization (APSO) algorithm with support vector machine (SVM) and optimized the model parameters of the SVM through the APSO algorithm, enhancing the prediction accuracy of the APSO-SVM model. …”
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