The impact of supply chain integration on the operational process performance: An empirical study under the perspective of Resource Orchestration Theory by Rinaldo de Castro Oliveira, Inayara Valéria Defreitas Pedroso Gonzalez

“…The research evaluated the dimensions that compose the supply chain integration - SCI and their impact on the performance of companies’ operational processes. SCI was evaluated based on the Resource Orchestration Theory, and the performance was measured in the level of business processes of the Supply Chain Operation Reference (SCOR) model. …”
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A Study on the Infrageneric Classification of <i>Hordeum</i> Using Multiple Methods: Based on Morphological Data by Nayoung Ro, Pilmo Sung, Mesfin Haile, Hyemyeong Yoon, Dong-Su Yu, Ho-Cheol Ko, Gyu-Taek Cho, Hee-Jong Woo, Nam-Jin Chung

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The improvement of the instrumental means for processing and analyzing of space information by S. A. Zolotoy, I. B. Strashko, D. S. Kotau, I. M. Nestsiarovich, V. V. Rouba, K. I. Kostyuk

“…The relations of the subsystems of the package are shown during data receiving, processing, analyzing and providing information to interested specialists and researchers. …”
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Methodological approach to quantitative assessment of the security of open operating systems AS of the Internal Affairs Bodies by A. I. Yangirov, I. M. Yangirov, E. A. Rogozin, S. B. Akhlyustin

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Non-Linear Thinking Processes in Digital Humanities by Marcello Costa

“…It highlights the importance of a qualitative versus a quantitative approach for text comparisons generated by Artificial Intelligence (AI). …”
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Efficient Fourier base fitting on masked or incomplete structured data by Fariba Karimi, Fariba Karimi, Esra Neufeld, Arya Fallahi, Arya Fallahi, Vartan Kurtcuoglu, Niels Kuster, Niels Kuster

“…IntroductionFourier base fitting for masked or incomplete structured data holds significant importance, for example in biomedical image data processing. …”
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Examination of Quantitative Studies Published in National Journals in the Field of English Language Education in Terms of Methodology by Atilla Özdemir, İdil Sayın, Ayşenur Uluyol

“…Therefore, in the examined studies, characteristics of the data collection tools, preliminary data analysis process and appropriateness of the statistical techniques used in the data analysis phase were examined and explained in detail. …”
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Quantitative Assessment Method for Industrial Demand Response Potential Integrating STL Decomposition and Load Step Characteristics by Zhuo-Wei Yang, Kai Chang, Ming-Di Shao, Hao Lei, Zhi-Wei Liu

“…This study proposes an integrated quantitative assessment framework combining Seasonal-Trend decomposition using Loess (STL), load-step feature extraction, and Gaussian Process Regression (GPR). …”
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Measures to Address Cyber-Attacks in Construction Project Data Management Processes: A Cybersecurity Perspective by Ornella Tanga Tambwe, Clinton Ohis Aigbavboa, Opeoluwa Israel Akinradewo, Peter Ademola Adekunle

“…In the past decade, the fourth industrial revolution has transformed data management in the construction industry, enhancing processes from storage to exchange. …”
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A selection mechanism using multi-criteria evaluation and hierarhical classifying tree for resume data processing by O. V. German, J. O. German, S. Nasr

“…The paper considers a problem of optimal feature selection for resume data processing by means of combining multicriteria evaluation technique and hierarhical classifying trees technology what makes it possible to build a selection mechanism without necessity to collect data for the learning purposes of real applicants. …”
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Triple Spectral Line Imaging of Whole-Body Human Skin: Equipment, Image Processing, and Clinical Data by Janis Spigulis, Uldis Rubins, Edgars Kviesis-Kipge, Inga Saknite, Ilze Oshina, Egija Vasilisina

“…Multispectral imaging can provide objective quantitative data on various clinical pathologies, e.g., abnormal content of bio-substances in human skin. …”
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A survey of data-driven fault-diagnosis methods for large-scale industrial production processes by Qianxiang YU, Qing LI, Linlin LI, Yixuan WANG

“…Specifically, smooth data from industrial processes is collected and used for fault diagnosis. …”
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Big Earth data processing using machine learning for integrated mapping of the dead sea fault, Jordan by Polina Lemenkova

“…However, automatization using machine learning for big Earth data processing provides the speed and accurate processing of multisource massive datasets. …”
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Big Earth data processing using machine learning for integrated mapping of the dead sea fault, Jordan by Polina Lemenkova

“…However, automatization using machine learning for big Earth data processing provides the speed and accurate processing of multisource massive datasets. …”
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Efficient Explainable Models for Alzheimer’s Disease Classification with Feature Selection and Data Balancing Approach Using Ensemble Learning by Yogita Dubey, Aditya Bhongade, Prachi Palsodkar, Punit Fulzele

“…Also, challenges such as data imbalance and high-dimensional feature sets often hinder model performance. …”
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Quantitative assessment of spatiotemporal variations and drivers of gross primary productivity in tropical ecosystems at higher resolution by Ruize Xu, Jiahua Zhang, Fang Chen, Bo Yu, Shawkat Ali, Hidayat Ullah, Ali Salem Al-Sakkaf

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On quantitative characteristics of information resources by L. I. Tochicki

“…The composition of the system information space is substantiated, which represents the whole amount of information being processed in the system, auxiliary information resources and all data of the system and its users. …”
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The financial impact of human resources configuration: A quantitative analysis based on modified single candidate optimizer by Zhuozhuo Zhang, Jun Lu, Qi Wang

“…The framework integrates big data analytics and system analysis to establish a quantitative management strategy for optimizing HR configurations. …”
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DFPS: An Efficient Downsampling Algorithm Designed for the Global Feature Preservation of Large-Scale Point Cloud Data by Jiahui Dong, Maoyi Tian, Jiayong Yu, Guoyu Li, Yunfei Wang, Yuxin Su

“…This approach effectively balances the global feature retention of point cloud data with computational efficiency, making it highly adaptable to the growing trend of large-scale 3D point cloud datasets. …”
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From rocks to pixels: a comprehensive framework for grain shape characterization through the image analysis of size, orientation, and form descriptors by A. L. Back, C. Kana Tepakbong, L. Paul Bédard, A. Barry, A. Barry

“…Using this combination of principal component analysis and image-based descriptors, we could discriminate 8 of the 13 ideal forms (ranging from a circle to a dodecagon), showcasing the potential precision when running noiseless data. The process was then applied to a sample of 584 galena grains, and we successfully described quantitatively the shape tendencies within this galena grain population. …”
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