A Morphological Approach to Development of a Process for Measurement Uncertainty Estimation by P. S. Serenkov, V. M. Romanchak, A. V. Hrybkouski

“…It is theoretically substantiated that from the standpoint of the system approach to achieving an acceptable degree of reliability of measurement uncertainty estimates it is necessary to implement a process approach to the formation of the estimation method as an algorithm of actions. The main stages of the estimation process are defined. …”
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Analysis Sparse Representation for Nonnegative Signals Based on Determinant Measure by DC Programming by Yujie Li, Benying Tan, Atsunori Kanemura, Shuxue Ding, Wuhui Chen

“…According to our theoretical analysis and simulation study, the main advantage of the proposed algorithm is its greater dictionary learning efficiency, particularly compared with state-of-the-art algorithms. …”
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Polyprograms and Polyprogram Bisimulation by Sergei Grechanik

“…We prove correctness of this algorithm and formulate a certain weak form of its completeness. …”
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Learning Condition-Invariant Scene Representations for Place Recognition across the Seasons Using Auto-Encoder and ICA by Tariqul Islam, Sheikh Rabiul Islam, Mahbubur Rahman

“…Especially, when the robot moves through a changing environment, ICA provided more accurate outcomes than the other algorithm (baseline algorithm). On the other hand, the auto-encoder can distinguish between two features of scene variant condition and invariant condition. …”
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Convergence Study of Minimizing the Nonconvex Total Delay Using the Lane-Based Optimization Method for Signal-Controlled Junctions by C. K. Wong, Y. Y. Lee

“…A set of constraints is set up to ensure the feasibility and safety of the resultant optimized lane markings and signal settings. The main difficulty to solve this high-dimension nonlinear nonconvex delay minimization problem using cutting plane algorithm is the requirement of substantial computational efforts to reach a good-quality solution while approximating the nonlinear solution space. …”
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Adaptive Coati Optimization Enabled Deep CNN-based Image Captioning by Balasubramaniam S, Seifedine Kadry, Rajesh Kumar Dhanaraj, Satheesh Kumar K

“…As a result, it needs an algorithm to create a series of output words and understand the relations between textual and visual elements. …”
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A precise ultra high frequency partial discharge location method for switchgear based on received signal strength ranging by Jiajia Song, Jinbo Zhang, Xinnan Fan

“…Partial discharges are the main insulation defects encountered in gas-insulated switchgears. …”
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Multiagent Energy Management System Design Using Reinforcement Learning: The New Energy Lab Training Set Case Study by Parisa Mohammadi, Razieh Darshi, Hamidreza Gohari Darabkhani, Saeed Shamaghdari

“…A double auction (DA) algorithm determines the price of the internal market. …”
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Classification Prediction of Rockburst in Railway Tunnel Based on Hybrid PSO-BP Neural Network by Min Zhang

“…Rockburst is one of the main disasters in railway tunnel construction. In order to accurately predict the rockburst intensity level of the railway tunnel, the rock stress coefficient σθ/σc, rock brittleness coefficient σc/σt, and elastic energy index Wet are used as evaluation indexes of rockburst intensity, and a BP neural network rockburst prediction model based on hybrid particle swarm optimization algorithm is proposed. …”
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Control‎ ‎and‎ ‎Synchronization‎ ‎of‎ a‎ ‎Chaotic Memristor System Based on Graphical Approach by Marzieh Pabasteh, Bashir Naderi

“…‎In this article‎, ‎we analyze a four-dimensional chaotic system‎, ‎focusing on bifurcation and the Lyapunov exponent as key characteristics under new parameter settings‎. ‎Our main goal is to control the system using a graphical algorithm based on contraction method in dynamical systems‎. ‎…”
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MISSILE POSITION ESTIMATION USING UNSCENTED KALMAN FILTER by Teguh Herlambang, Subchan Subchan

“…To maintain the accuracy of the trajectory continuously, the missile trajectory estimation was made by using Unscented Kalman Filter (UKF) Algorithm. This algorithm was used to estimate nonlinear dynamic models The simulation results showed that the UKF method was effective, showing the accuracy of 97% by the UKF method…”
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A Voronoi-Based Location Privacy-Preserving Method for Continuous Query in LBS by Chunguang Ma, Changli Zhou, Songtao Yang

“…Achieving anonymity and sending private queries are two main privacy-preserving courses in LBS. A novel location privacy-preserving method is proposed based on Voronoi graph partition on road networks. …”
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Research on Automatic Test Case Generation Technology Based on Finite State Machines and Function Block Diagrams by LI Ning, XIONG Yan, DING Yaoguo

“…Following the modeling based on finite state machines and function block diagrams, this study explored a transformation algorithm that converts function block diagrams into finite state machines and an automatic test case generation algorithm. …”
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A Predictive Analysis of the Business Environment of Economies along the Belt and Road Using the Fractional-Order Grey Model by Lingling Pei, Jun Liu

“…This paper determined the optimal order of FGM (1, 1) model through particle swarm optimization algorithm and combined with the World Bank business environment data to predict and analyze the business environment of economies along the Belt and Road. …”
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Automated detection of bicycle helmets using deep learning by Felix Wilhelm Siebert, Christoffer Riis, Kira Hyldekær Janstrup, Hanhe Lin, Jakob Kristensen, Oguzhan Gül, Frederik Boe Hüttel

“…Bicycle helmets are a main measure for injury prevention in case of a crash and are a central variable in transport safety studies. …”
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Text Multilevel Encryption Using New Key Exchange Protocol by Zaid Nidhal Khudhair, Ahmed Nidhal, Nidhal K. El Abbadi

“…While the second branch of the proposal is the multi-key encryption algorithm. The current algorithm provides the ability to use more than two keys. …”
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Compensation of Positioning Errors Caused by Tropospheric Wave Propagation in Wide-Area Multilateration Systems by A. A. Monakov, A. M. Mirolubov

“…Wide area multilateration (WAM) systems are the main competitors of secondary surveillance radar (SSR) systems used in air traffic control (ATC). …”
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Digital three-stage recursive-separable image processing filter with variable sizes of scanning multielement aperture by A. V. Kamenskiy, T. M. Akaeva, D. A. Grebenshchikova

“…Objectives. The main aim of digital image processing is to increase clarity while maintaining image quality and eliminate noise. …”
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Fine classification of crops based on an inductive transfer learning method with compact polarimetric SAR images by Xianyu Guo, Junjun Yin, Jian Yang

“…A stable and robust inductive transfer learning method, i.e. the Transfer Bagging-based Ensemble Learning (TBEL) algorithm, is proposed. The main idea is to select an adequate number of representative samples from unlabeled datasets to characterize each class in the target domain based on limited labeled samples and construct a classifier set to classify the target domain. …”
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Handling Censoring and Censored Data in Survival Analysis: A Standalone Systematic Literature Review by Anthony Joe Turkson, Francis Ayiah-Mensah, Vivian Nimoh

“…These methods include censored network estimation; conditional mean imputation method; inverse probability of censoring weighting; maximum likelihood estimation; Buckley-Janes least squares algorithm; simple multiple imputation strategy; filter algorithm; Bayesian framework; β-substitution method; search-and-score-hill-climbing algorithm and constraint-based conditional independence algorithm; frequentist; Markov chain Monte Carlo for imputed data; quantile regression; random effects hierarchical Cox proportional hazards; Lin’s Concordance Correlation Coefficient; classical maximum likelihood estimate. …”
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