Research on Dynamic Performance of Autonomous-rail Rapid Tram by ZHONG Hanwen, LI Xiaoguang, XIAO Lei, YANG Yong, ZHANG Chenlin, HUANG Ruipeng, YUAN Xiwen

“…In order to research the dynamic performance of the tram, a mathematical model based simulation research was carried out to support the algorithm design and to verify the strategies adopted by the central virtual track line following controller and the automatic tracking steering controller. …”
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MODERN METHODS OF PRICING IN THE STRATEGIC ACTIVITIES PLANNING OF PHARMACEUTICAL COMPANIES IN UKRAINE by N. Slushaenko, D. Apenko

“…Among the analyzed pricing models for new product allocated to one that meets the needs of the pharmaceutical industry and is based on available statistics. Formed a clear selection algorithm pricing policy of the company to the new product.…”
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Dynamic Bayesian Network Model for Overhead Power Lines Affected by Hurricanes by Kehkashan Fatima, Hussain Shareef

“…To characterize the stochastic properties of HIF, Monte Carlo simulation (MCS) is employed in conjunction with fragility curves (FC) and the scenario reduction (SCENRED) algorithm. The proposed DBN model evaluates the probability of asset failure and compares the results using stochastic Monte Carlo simulation based on the fragility curve scenario reduction algorithm (FC-MCS-SCENRED) model. …”
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Towards solving NLP tasks with optimal transport loss by Rishabh Bhardwaj, Tushar Vaidya, Soujanya Poria

“…Such functions play a vital role in machine learning algorithms as they steer the learning process. …”
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The Path Planning Problem of Robotic Delivery in Multi-Floor Hotel Environments by Linghui Han, Junzhe Ding, Songtao Liu, Meng Meng

“…Path planning plays a critical role in determining the performance of robotic systems in these tasks. …”
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Collocation ranking: frequency vs semantics by Nikola Ljubešić, Nataša Logar, Iztok Kosem

“…Collocations play a very important role in language description, especially in identifying meanings of words. …”
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Improved Method of Interval valued neutrosophic matrix composition and Its Application in Medical Diagnosis by S. Sathiya, A. Puspalatha

“…Finally, a decision-making algorithm based on IVN matrix composition has been proposed to solve problems with disease diagnosis from the manifestation of different symptoms in individuals and successfully applied in the field of medical diagnosis.…”
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Re-identification assistance and multi-stage association for pedestrian multi-object tracking by Ye Li, Li Zhan, Lei Wu, Hongkun Liu, Jianli Min, Xinzhong Wang

“…Currently, most methods mainly use the Kalman filter to model the motion and predict the position of the pedestrian in the next frame. Then, based on the Intersection over Union (IoU) between the predicted bounding box and the detection bounding box, the Hungarian algorithm is used to match the targets between frames. …”
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Time series segmentation for recognition of epileptiform patterns recorded via microelectrode arrays in vitro. by Gabriel Galeote-Checa, Gabriella Panuccio, Angel Canal-Alonso, Bernabe Linares-Barranco, Teresa Serrano-Gotarredona

“…To achieve effective seizure control, algorithms play an important role in identifying relevant electrographic biomarkers from local field potentials (LFPs) to determine the optimal stimulation timing. …”
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Management of the business system of the enterprise by O. Grosheleva, M. Ivanova, O. Usatenko

“…The lack of direct correlation between total expenses of enterprise spent to communication policy and amount of sales is proved. The prominent role of optimizing the budgeting of communication process is substantiated. …”
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Pre-disaster evacuation transport network design under uncertain demand and connectivity reliability: a novel bi-level programming model by Junxiang Xu, Divya Jayakumar Nair, S. Travis Waller

“…An equilibrium condition is proposed to improve the Logit model based on the regret-risk utility function. For the solution of this model, an Improved Genetic Algorithm combined with Non-dominated Sorting Genetic Algorithm II(IGA-NSGA-II) is designed. …”
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Machine learning assisted zero-area pulse design in an open quantum system by Yi-Ye Li, Lian-Ao Wu, Zhao-Ming Wang

“…We also compare the SL method with a genetic algorithm, and the similar results confirm the accuracy and generalization ability of the NN-based approach.…”
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Identification of a novel anoikis-related gene signature to predict prognosis and tumor microenvironment in intrahepatic cholangiocarcinoma carcinoma by Xuan Zhou, Bai Wei, Yan Wang, Mingjie Liu, Xiangru Guo, Yuting Duan

“…Methods In our study, we employed a clustering algorithm to classify samples from The Cancer Genome Atlas (TCGA) based on differentially expressed overlapping anoikis-related genes. …”
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Device-Driven Service Allocation in Mobile Edge Computing with Location Prediction by Qian Zeng, Xiaobo Li, Yixuan Chen, Minghao Yang, Xingbang Liu, Yuetian Liu, Shiwei Xiu

“…We also design an improved service allocation strategy, MESDA, based on the Gray Wolf Optimization (GWO) algorithm. …”
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Power-Yeoh: A Yeoh-Type Hyperelastic Model with Invariant I₂ for Rubber-like Materials by Subraya Krishna Bhat, Keerthan A.

“…Rubber-based materials play an important role in various engineering and healthcare applications. …”
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Study on probabilistic neural network for extracting remote sensing information of rice planting area by YANG Xiao-hua, HUANG Jing-feng

“…The fusion algorithms which are used to select the optimal bands combination include single band statistic, principal component transformation and ratio transformation. …”
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Verification of functional models of chemical manufacturing by E. V. Burlyaeva, V. V. Burlyaev, V. V. Kononenko, V. S. Tsekhanovich

“…The algorithm is based on the analysis of a tree which describes the decompose relations in functional diagrams. …”
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Green versus non-green technology innovation and environmental quality: Cointegration and counterfactual analysis by Md. Idris Ali, Md. Atikur Rahaman, Mohammed Julfikar Ali

“…To further validate the robustness of these findings, the study utilizes the Kernel-based Regularized Least Squares (KRLS) machine learning algorithm. …”
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Utilizing Footstep Sound Event Detection by Using CNN Techniques for Assuring Property Security by Furkan Y. Yavuz, Nejat Yumusak

“…We propose deep learning based on a convolutional neural network (CNN) algorithm for classification of footstep sound events. …”
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Predicting soil organic carbon with ensemble learning techniques by using satellite images for precision farming by Shyamal Mundada, Pooja Jain

“…The goal of the research is to create a system for evaluating soil organic carbon based on topographic features and soil properties incorporating machine learning algorithms. …”
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