Reducing the dynamic range of infrared images based on block-priority equalization and compression of histograms by S. I. Rudikov, V. Yu. Tsviatkou, A. P. Shkadarevich

“…When changing the ratio of the number of high-priority blocks of infrared image pixels to the number of all blocks in the range of 0.25–0.75, the proposed algorithm is more efficient than global and adaptive histogram equalization algorithms.…”
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Introducing Iterative Model Calibration (IMC) v1.0: a generalizable framework for numerical model calibration with a CAESAR-Lisflood case study by C. Banerjee, K. Nguyen, C. Fookes, G. Hancock, T. Coulthard

“…This approach efficiently identifies the optimal set of parameters for a given numerical model through a strategy based on a Gaussian neighborhood algorithm. Through experiments, we demonstrate the efficacy of IMC in calibrating the widely used landscape evolution model CAESAR-Lisflood (CL). …”
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A Novel Deep Sparse Filtering Method for Intelligent Fault Diagnosis by Acoustic Signal Processing by Guowei Zhang, Jinrui Wang, Baokun Han, Sixiang Jia, Xiaoyu Wang, Jingtao He

“…In the second stage, the learned features are obtained by training batch-normalized DSF with frequency-domain signals, and then the features are fine-tuned by backpropagation (BP) algorithm. In the third stage, softmax regression is used as a classifier for heath condition recognition based on the fine-tuned features. …”
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Forecasting Travel Speed in the Rainfall Days to Develop Suitable Variable Speed Limits Control Strategy for Less Driving Risk by Ping Wang, Yajie Zhang, Saisai Wang, Li Li, Xiaohui Li

“…Furthermore, the deep learning algorithm that considers more factors such as the rainfall intensity and traffic flow could improve the prediction accuracy. …”
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Optimization Approach for Yard Crane Scheduling Problem with Uncertain Parameters in Container Terminals by Wenqian Liu, Xiaoning Zhu, Li Wang, Baicheng Yan, Xuewei Zhang

“…The scheme does not require rescheduling when facing different situations. Subsequently, two algorithms based on certain rules are proposed to obtain the yard crane operation scheme in the deterministic environment, which are taken as the basic solution in the uncertain conditions, and then a tailored genetic algorithm is adopted to find the optimal solution with good adaptability to the uncertain scenarios. …”
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Forecasting Crude Oil Consumption in China Using a Grey Prediction Model with an Optimal Fractional-Order Accumulating Operator by Huiming Duan, Guang Rong Lei, Kailiang Shao

“…According to the particle swarm optimization (PSO) mechanism and the properties of the gamma function of the fractional-order cumulative generation operator, the optimal fractional-order particle swarm optimization algorithm of the FSIGM model is obtained. Finally, the data concerning China’s crude oil consumption from 2002 to 2014 are used as experimental data. …”
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Analysis of financial convergence between the BRICS and OECD countries. by Nasim Iranmanesh

“…The study utilizes the Panel Convergence Methodology and Cluster Analysis (Philips and Sul methodology) along with a clustering algorithm. The findings indicate a lack of overall convergence between OECD and BRICS countries in both financial markets (money and capital) this is due to the lack of similar economic infrastructure, differences in the size of the economy, and variations in trade, financial and monetary freedom indicators, trade relations, and capital transfers. …”
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A Novel User Selection Strategy with Incentive Mechanism Based on Time Window in Mobile Crowdsensing by Xuemei Sun, Xiaorong Yang, Caiyun Wang, Jiaxin Wang

“…In the PS-TWDT, we design a participant selection method based on dynamic programming algorithm. The goal is to maximize the data benefit while the sensing time of the selected participants covers the task time period. …”
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Damped Iterative Explicit Guidance for Multistage Rockets with Thrust Drop Faults by Zongzhan Ma, Chuankui Wang, Zhi Xu, Shuo Tang, Ying Ma

“…A damped iterative explicit guidance (DIEG) algorithm is proposed to address the problem of the insufficient convergence of classical explicit guidance methods in the event of thrust drop faults in multistage rockets. …”
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A Novel Mathematical Approach to Define the Genes/SNPs Conferring Risk or Protection in Sporadic Amyotrophic Lateral Sclerosis Based on Auto Contractive Map Neural Networks and Gra... by Massimo Buscema, Silvana Penco, Enzo Grossi

“…We have divided the ALS dataset into two dataset: Cases and Control dataset; we have applied to each one, independently, the AutoCM algorithm. Six genetic variants were identified which differently contributed to the complexity of the system: three of the above genes/SNPs represent protective factors, APOA4, NOS3, and LPL, since their contribution to the whole complexity resulted to be as high as 0.17. …”
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Unbiased Feature Selection in Learning Random Forests for High-Dimensional Data by Thanh-Tung Nguyen, Joshua Zhexue Huang, Thuy Thi Nguyen

“…Aiming at debiasing feature selection in RFs, we propose a new RF algorithm, called xRF, to select good features in learning RFs for high-dimensional data. …”
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Imaging method for airborne SAL data by Guangzuo Li, Ning Wang, Ran Wang, Keshu Zhang, Yirong Wu

“…Direct using of the conventional imaging algorithms to SAL data suffers from performance degradation. …”
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PM2.5 Concentration Prediction Based on Markov Blanke Feature Selection and Hybrid Kernel Support Vector Regression Optimized by Particle Swarm Optimization by Lian-Hua Zhang, Ze-Hong Deng, Wen-Bo Wang

“…Abstract This study employed air quality and meteorological data as research materials and extracted the optimal feature subset by using the approximate Markov blanket-based normal maximum relevance minimum redundancy (nMRMR) algorithm to serve as the input data of the prediction model. …”
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THE USE OF GAMIFICATION IN THE PREVENTION OF DYSLEXIA OF CHILDREN IN PRESCHOOL AGE by Hanna Mytsyk, Alona Babichenko

“…The advantages of using individual elements of gamification for propaedeutic purposes in working with children prone to dyslexia are highlighted, and their description is provided. An algorithm for creating a game mechanism, criteria for selecting digital learning platforms, and developing games based on them are proposed. …”
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Displacement-Based Back-Analysis of the Model Parameters of the Nuozhadu High Earth-Rockfill Dam by Yongkang Wu, Huina Yuan, Bingyin Zhang, Zongliang Zhang, Yuzhen Yu

“…In this method, an artificial neural network is used as a substitute for time-consuming finite element analysis, and an evolutionary algorithm is applied for both network training and parameter optimization. …”
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An Artificial Intelligence Approach for the Kinodynamically Feasible Trajectory Planning of a Car-like Vehicle by Vito Antonio Nardi, Marianna Lanza, Filippo Ruffa, Valerio Scordamaglia

“…Navigation in the graph is performed through a hybrid A* algorithm whose performance metrics are improved through a properly trained classificator, which can forecast whether a candidate trajectory segment is feasible or not. …”
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An Improved Pearson’s Correlation Proximity-Based Hierarchical Clustering for Mining Biological Association between Genes by P. M. Booma, S. Prabhakaran, R. Dhanalakshmi

“…Additionally, the Seed Augment algorithm adopts average linkage methods on rows and columns in order to expand a seed PCPHC model into a maximal global PCPHC (GL-PCPHC) model and to identify association between the clusters. …”
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Contrast-Invariant Edge Detection: A Methodological Advance in Medical Image Analysis by Dang Li, Patrick Cheong-Iao Pang, Chi-Kin Lam

“…Each bit plane is used to detect edges in 3 × 3 blocks by the proposed algorithm, and then the edge information from each plane is fused to obtain an edge image. …”
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METHOD OF QUALIFICATION ESTIMATION AND OPTIMIZATION OF PROFESSIONAL TEAMS OF PROGRAMMERS by A. A. Prihozhy, A. M. Zhdanouski

“…The proposed method is a basis for a genetic algorithm that performs the search for the number, size and staff of groups of programmers which yield a maximum of total qualification. …”
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Influencing Factors and Clustering Characteristics of COVID-19: A Global Analysis by Tianlong Zheng, Chunli Zhang, Yueting Shi, Debao Chen, Sheng Liu

“…In addition, the epidemic clustering characteristics were analyzed through the spectral clustering algorithm. The visualization results of spectral clustering showed that the geographical distribution of global COVID-19 pandemic spread formation was highly clustered, and its clustering characteristics and influencing factors also exhibited some consistency in distribution. …”
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