Fast autoscaling algorithm for cost optimization of container clusters by José María López, Joaquín Entrialgo, Manuel García, Javier García, José Luis Díaz, Rubén Usamentiaga

“…Abstract Container clusters are widely used to execute containerized applications in cloud environments. An essential characteristic implemented by these clusters is autoscaling, which is the ability to automatically adapt the computing resources of a cluster to support variable workloads. …”
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Integrated Evaluation and error decomposition of four gridded precipitation products using dense rain gauge observations over the Yunnan-Kweichow Plateau, China by Tianjian Lu, Qingquan Xiao, Hanyu Lu, Jintong Ren, Yongyi Yuan, Xiaoshan Luo, Zhijie Zhang

“…Evaluating the precision and applicability of high-quality precipitation products in the distinctive terrain and intricate climate of the Yunnan-Kweichow Plateau (YKP) is pivotal for climate research. …”
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Innovative hybrid algorithm for efficient routing of limited capacity vehicles by Vu Hong Son Pham, Van Nam Nguyen, Nghiep Trinh Nguyen Dang

“…Through computational evaluations in various scenarios, including five case studies ranging from small to large, the algorithm demonstrates its superior ability to generate high-quality solutions, especially as the customer base expands. …”
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Speech Signal Enhancement Techniques by Chouki Zegar, Abdelhakim Dahimene

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GP4ESP: a hybrid genetic algorithm and particle swarm optimization algorithm for edge server placement by Fang Han, Hui Fu, Bo Wang, Yaoli Xu, Bin Lv

“…In addition, existing algorithms ignored the computing delay of edge servers (ESs) on request process, resulting in overestimation of the service quality. …”
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Early detection of Cercospora beticola and powdery mildew diseases in sugar beet using uncrewed aerial vehicle-based remote sensing and machine learning by Koç Mehmet Tuğrul, Rıza Kaya, Kemal Özkan, Merve Ceyhan, Uğur Gürel, Fatih Yavuz Fidantemiz

“…The study was accomplished by capturing images of uncrewed aerial vehicle (UAV) in field conditions. To effectively evaluate different detection methods in agricultural contexts, the study targeted two key areas: (1) monitoring Cercospora in fields without pesticide application, utilizing the Metos climate station early warning system alongside UAV-based image analysis, and (2) monitoring powdery mildew, which involved visual disease detection and targeted spraying based on UAV image processing. …”
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Student Performance Prediction Using Machine Learning Algorithms by Esmael Ahmed

“…Modern learning institutions face challenges in analyzing performance, providing high-quality education, formulating strategies for evaluating students’ performance, and identifying future needs. …”
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Bio-Inspired Multiobjective Optimization for Designing Content Distribution Networks by Gerardo Goñi, Sergio Nesmachnow, Diego Rossit, Pedro Moreno-Bernal, Andrei Tchernykh

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Monitored Reconstruction: Computed Tomography as an Anytime Algorithm by Konstantin Bulatov, Marina Chukalina, Alexey Buzmakov, Dmitry Nikolaev, Vladimir V. Arlazarov

“…We outline the theoretical framework for the monitored reconstruction, propose ways of constructing stopping rules for various reconstruction quality metrics and provide their experimental evaluation. …”
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Application of “high-fidelity and high-resolution” processing technology in thin reservoir identification: A case study of the deep Permian Maokou Formation in Penglai area, centra... by PENG Haotian, HE Qinglin, CHEN Kang, ZENG Ming, HE Zongqiang, TU Zhihui, KONG Lingxia, QU Bozhang

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A Practical Implementation of Post-Quantum Cryptography for Secure Wireless Communication by Babatunde Ojetunde, Takuya Kurihara, Kazuto Yano, Toshikazu Sakano, Hiroyuki Yokoyama

“…On the other hand, PQC algorithms come with complexity and long processing times, which may impact the quality of service (QoS) of many applications. …”
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Comparative analysis of image hashing algorithms for visual object tracking by Vitalii Naumenko, Sergiy Abramov, Vladimir Lukin

“…Subject of the research – visual object tracking using various image hashing algorithms for real-time tracking tasks. The goal of this study is to evaluate the tracking success and processing speed of existing and new hashing algorithms for object tracking and to identify the most suitable algorithms to be used under limited computational resources. …”
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Quality as Subjectively Measured Value by P. S. Serenkov, V. M. Romanchak

“…The paper identifies the problem of ensuring the reliability of measurement results of quality characteristics as subjective values and their correct application in logical and mathematical models of making decisions. …”
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Predicting Scientific Research Impacts in Biotechnology by Machine Learning Algorithms by Ghasem Azadi Ahmadabadi

“…In this research, Pearson's correlation coefficient and the R software package were used to examine the relationships between the studied indicators. Machine learning algorithms, including multiple linear regression, nearest neighbors, decision trees, random forests, and gradient boosting, were applied and evaluated as predictive models. …”
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Review of surface measurement methods towards nondestructive internal surface assessment by Kwan Zhi Teh, Saikat Medya, Sugandhana Shanmuganathan, Swee Hock Yeo

“…Their current applications in literature are evaluated to understand the appropriateness for internal surface applications. …”
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Illustration Design Model with Clustering Optimization Genetic Algorithm by Jing Liu, Qixing Chen, Xiaoying Tian

“…This paper proposes an illustration art design model based on operator and clustering optimization genetic algorithm. First, during the operation of the genetic algorithm, the values of the crossover probability and the mutation probability are dynamically adjusted according to the characteristics of the population to improve the search efficiency of the algorithm, then the k-medoids algorithm is introduced to optimize the clustering of the genetic algorithm, and a cost function is used to carry out and evaluate the quality of clustering to optimize the complexity of the original algorithm. …”
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Methodology for assessing the state of transport services for the population of the subject of the Russian Federation on the example of the Omsk region by A. P. Zhigadlo, A. Yu. Shonin, I. A. Eychler

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Machine Learning Algorithms for Prediction of Survival Curves in Breast Cancer Patients by Roqia Saleem Awad Maabreh, Malik Bader Alazzam, Ahmed S. AlGhamdi

“…Nonlinear relationships between variables and the impact they have on the variable to be predicted are very easy to evaluate using statistical methods. However, because they are just mathematical equations, they have flaws that limit the quality of their output. …”
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Cross-validation for training and testing co-occurrence network inference algorithms by Daniel Agyapong, Jeffrey Ryan Propster, Jane Marks, Toby Dylan Hocking

“…Results Previous methods for evaluating the quality of the inferred network include using external data, and network consistency across sub-samples, both of which have several drawbacks that limit their applicability in real microbiome composition data sets. …”
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Electronic catalog as an object of quality assessment by G. A. Skaruk

“…The author concludes: the modern EC is a complex multicomponent object, which various components require different criteria and methods of quality analysis. The composition of EC components as quality assessment objects and main evaluating indicators for each component are determined: bibliographical databases (including fullness, data identity and relevance, efficiency, completeness of documents’ identifying characteristics, compliance with the bibliographic description rules, entire and depth of document content reflection, stability of indexing); lexicographic databases (including the information search language (ISL) vocabulary completeness and detail, data identity and relevance, correct wording and alignment of the access points, the compliance with requirements of data presentation formats, ISL grammar tools composition and functionality); factographic data (information completeness and accuracy on the availability and location of publication copies, their movement); database management system and information processing s y st em (functional suitability, accessibility, ease of use, application reliability and security, efficiency, mobility); search system (ISL functionality, ease of navigation in the catalog, efficiency of search techniques and algorithms, relevance criteria, completeness and ease of understanding of search instructions, maintaining the system to help users); user interface (completeness of tasks solved by the system, compliance with human capabilities, visibility and functionality of formats, user-friendly modes of operation with the interface, user feedback, comfort, compliance with aesthetic requirements); system for ensuring the reliability of information storage .…”
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