Multiplicity results for Schrodinger type fractional p-Laplacian boundary value problems by Emer Lopera, Leandro Recova, Adolfo Rumbos

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Global multiplicity of positive solutions for anisotropic $(p,q)$-Robin boundary value problems with an indefinite potential term by Eylem Öztürk, Nikolaos Papageorgiou

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Machine Learning-Driven Optimization for Solution Space Reduction in the Quadratic Multiple Knapsack Problem by Diego Yanez-Oyarce, Carlos Contreras-Bolton, Fredy Troncoso-Espinosa, Carlos Rey

“…The quadratic multiple knapsack problem (QMKP) is a well-studied problem in operations research. …”
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Accelerating Multiple Compound Comparison Using LINGO-Based Load-Balancing Strategies on Multi-GPUs by Chun-Yuan Lin, Chung-Hung Wang, Che-Lun Hung, Yu-Shiang Lin

“…Therefore, it still will be time-consuming when comparing with a large amount of compounds (seen as a multiple compound comparison problem, abbreviated to MCC). …”
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Problems of Academic Writing: Lexical Errors, their Causes and Correction Strategies by O. L. Dobrynina

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Comparison of three recent discrete stochastic inversion methods and influence of the prior choice by Juda, Przemysław, Straubhaar, Julien, Renard, Philippe

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Developing heuristic and meta-heuristic algorithms for the problem of joint order batching and collector routing in single and multiple-cross-aisle warehouses by Zahra Shamlou, Taha Keshavarz

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Problem-solving skills of futsal players with regard to some socio-demographic variables by Musa Con, Soner Cankaya, Mehmet Yalcin Tasmekteplıgıl, Kürşat Acar

“…In the statistical analysis of the obtained data during the research study, differences have been revealed by using one-way analysis of variance (One-Way ANOVA). And in the comparison of the averages of groups, Tukey HSD multiple comparison test was used. …”
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Enhancing Cooperative Coevolution with Selective Multiple Populations for Large-Scale Global Optimization by Xingguang Peng, Yapei Wu

“…The cooperative coevolution (CC) algorithm features a “divide-and-conquer” problem-solving process. This feature has great potential for large-scale global optimization (LSGO) while inducing some inherent problems of CC if a problem is improperly decomposed. …”
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Secure transmission scheme for millimeter-wave Internet of vehicles with multiple base stations and users by JU Ying, CHEN Yuchao, TIAN Suheng, LIU Lei, LI Zan, PEI Qingqi, WANG Mingyang

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An Integrated Metaheuristic Routing Method for Multiple-Block Warehouses with Ultranarrow Aisles and Access Restriction by Fangyu Chen, Gangyan Xu, Yongchang Wei

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Self-supervised speech representation learning based on positive sample comparison and masking reconstruction by Wenlin ZHANG, Xuepeng LIU, Tong NIU, Qi CHEN, Dan QU

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High Performance Frequent Subgraph Mining on Transaction Datasets: A Survey and Performance Comparison by Bismita S. Jena, Cynthia Khan, Rajshekhar Sunderraman

“…In the past few years, several research groups have attempted to handle the Frequent Subgraph Mining (FSM) problem in multiple ways. Many authors have tried to achieve better performance using Graphic Processing Units (GPUs) which has multi-fold improvement over in-memory while dealing with large datasets. …”
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An Integrated Stacking Ensemble Model for Natural Gas Purchase Prediction Incorporating Multiple Features by Junjie Wang, Lei Jiang, Le Zhang, Yaqi Liu, Qihong Yu, Yuheng Bu

“…In November 2024, a side-by-side comparison of the predicted and actual data revealed a maximum error of just 5.39%. …”
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Hybrid Particle Swarm Optimization for Hybrid Flowshop Scheduling Problem with Maintenance Activities by Jun-qing Li, Quan-ke Pan, Kun Mao

“…The proposed algorithm is tested on the variation of 77 Carlier and Néron’s benchmark problems. Detailed comparisons with the present efficient algorithms, including hGA, ILS, PSO, and IG, verify the efficiency and effectiveness of the proposed algorithm.…”
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Some Similarity Measures for Triangular Fuzzy Number and Their Applications in Multiple Criteria Group Decision-Making by Liyuan Zhang, Xuanhua Xu, Li Tao

“…We propose some similarity measures between two triangular fuzzy numbers (TFNs) based on the vector similarity measures in vector space, which can be used to aggregate the decision information with TFNs. A methodology for multiple criteria group decision-making (MCGDM) problems with triangular fuzzy information is proposed; the criteria values take the form of linguistic values, which can be converts to TFNs. …”
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Prevalence and Regional Variations of Visual and Auditory Impairments Among Elderly Individuals in the Faroe Islands: A Cross-Sectional Study by Haanes GG, Christiansen J, Hofoss D

“…Differences by gender and region were tested by Pearson chi squared test and Fisher’s exact test, Bonferroni corrected for multiple comparisons.Results: Problems with seeing and hearing were widespread, difficulty reading small print was reported by 58% of participants, and 51% reported less than “good” hearing. …”
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Simulation Analysis of a Multiple-Vehicle, High-Speed Train Collision Using a Simplified Model by Suchao Xie, Weilin Yang, Ping Xu

“…To solve the problems associated with multiple-vehicle simulations of railway vehicles including large scale modelling, long computing time, low analysis efficiency, need for high performance computing, and large storage space, the middle part of the train where no plastic deformation occurs in the vehicle body was simplified using mass and beam elements. …”
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Two-stage deep reinforcement learning method for agile optical satellite scheduling problem by Zheng Liu, Wei Xiong, Zhuoya Jia, Chi Han

“…Abstract This paper investigates the agile optical satellite scheduling problem, which aims to arrange an observation sequence and observation actions for observation tasks. …”
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Comparison Of Glucagon Like Peptide/1 Levels In Diabetic Women With Ovarian Polycystic Syndrome And Healthy Women by Namra Iqtidar, Imran Ali Zaidi, Sobia Niaz, Javaria Latif, Amir Naveed, Ayesha Yousaf

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