Cyberattack Detection Systems in Industrial Internet of Things (IIoT) Networks in Big Data Environments by Abdullah Orman

“…These contributions provide valuable insights for developing more efficient and adaptable IDS solutions in IIoT networks.…”
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Application of the Genetic Algorithm in the Network Intrusion Detection System Using NSL-KDD Data by Naglaa Ibrahim, Hana Usman

“…For rules generation NSL-KDD Data Set is used which include, KDDTrain and KDDTest, 125973 and 22544 records respectively, each record  consists of 41 features and one class attribute for specifying   normal and abnormal connection (complete train and test data are used), In order to get rid of redundancy and inappropriate features Principal  Component Analysis (PCA) is used for selecting (5)  features. …”
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Role of data literacy training for decision-making in teaching practice: a systematic review by Fabián Sandoval-Ríos, Fabián Sandoval-Ríos, Carla Gajardo-Poblete, Juan Antonio López-Núñez

“…Future research should focus on developing standardized assessment tools and conducting long-term studies to evaluate the lasting impact of data literacy training on teaching practices.…”
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Secure data transmission through fractal-based cryptosystem: a Noor iteration approach by Deepak Negi, Rajiv Kumar, Vijay Kumar, Arvind Dhaka

“…Abstract The data must be protected from cyber-attacks that benefit from the weaknesses of the databases. …”
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Decoding a Cognitive Performance State From Behavioral Data in the Presence of Auditory Stimuli by Saman Khazaei, Rose T. Faghih

“…Based on the aggregated data analysis, the ARCH-based performance decoder outperforms the other decoders. …”
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An improved SMOTE algorithm for enhanced imbalanced data classification by expanding sample generation space by Ying Li, Yali Yang, Peihua Song, Lian Duan, Rui Ren

“…Comparative analysis of 2D and 3D scatter plots revealed that ISMOTE yields more realistic data distributions. …”
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MagPySV: A Python Package for Processing and Denoising Geomagnetic Observatory Data by G. A. Cox, W. J. Brown, L. Billingham, R. Holme

“…Robust statistics are used to identify and remove outliers. Developing existing denoising methods, we use principal component analysis of the covariance matrix of residuals between observed SV and that predicted by a global field model to remove a proxy for external field contamination from observations. …”
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Association Between Menopause and Metabolic Syndrome in the Registration Phase Data of Tabari Cohort Population by Seyed-Robabe Babaei, Mahmood Moosazadeh, Motahareh Kheradmand, Amirsaeed Hosseini, Masoumeh Bagheri-Nesami

“…SPSS software, version 21 was used for data analysis. P≤0.05 was also considered significant. …”
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MATHEMATICAL-ЕCONOMIC METHODS FOR STUDYING DATA ON HOUSEHOLD CONSUMPTION OF FOUR BASIC FOOD PRODUCTS by Delyana DIMOVA

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Ionospheric Scale Index Map Based on TEC Data for Space Weather Studies and Applications by C. M. Denardini, G. A. S. Picanço, P. F. Barbosa Neto, P. A. B. Nogueira, C. S. Carmo, L. C. A. Resende, J. Moro, S. S. Chen, E. Romero‐Hernandez, R. P. Silva, A. V. Bilibio

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Time-Normalization Approach for fNIRS Data During Tasks with High Variability in Duration by Anna Falivene, Charlotte Johnson, Katrijn Klingels, Pieter Meyns, Evi Verbecque, Ann Hallemans, Emilia Biffi, Caterina Piazza, Alessandro Crippa

“…In this work, we present a MATLAB (R2023a) function (<i>TaskNorm.m</i>) developed for time-normalizing fNIRS data recorded during trials with different durations. …”
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Exploring the implementation of a data trust committee: a qualitative evaluation of processes and practices by Syka Iqbal, Sophie Moniz, Fiona Bennin, German Alarcon Garavito, Rosaline de Koning, Rosamund Yu, Cecilia Vindrola-Padros

“…Involving patients and members of the public in how data are accessed for service improvement is crucial for developing an acceptable, ethical and information governance-compliant whole system data linkage. …”
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Unveiling shadows: A data-driven insight on depression among Bangladeshi university students by Sanjib Kumar Sen, Md. Shifatul Ahsan Apurba, Anika Priodorshinee Mrittika, Md. Tawhid Anwar, A.B.M. Alim Al Islam, Jannatun Noor

“…After rigorous analysis, Random Forest emerged as the best-performing algorithm, exhibiting remarkable accuracy (87%), precision (78%), recall (95%), and f1-score (86%). …”
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The prevalence of underweight, overweight and obesity in Bangladeshi adults: Data from a national survey. by Tuhin Biswas, Sarah P Garnett, Sonia Pervin, Lal B Rawal

“…<h4>Methods</h4>This study is a secondary data analysis of the national 2011 Bangladesh Demographic and Health Survey. …”
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Russian Regional Debt Sustainability Estimation by O. V. Suchkova, A. Yu. Chemis

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Neutrosophic Set Theory in E-Commerce Evaluation: A Novel Approach to Sales Strategy Optimization by Benjhall Jordan Camargo Vilcapoma, Valia Ximena Huaman Coras, Rosa María Criollo Delgado

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Business Valuation with Machine learning by P. S. Koklev

“…Robust methods of variable normalization and missing data imputation are also highlighted. Finally, various ways of improving the developed models are recommended to achieve even higher accuracy of forecasts.The study concludes that machine learning can be applied as a more accurate, unbiased, and less costly approach to value a company. …”
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The impact of the marketing information system on decision-making: an applied study on the Saudi Telecommunications Company by Fuad M. Alhamdi, Shaker M. Al-Kahtani

“…These insights support the design of more sustainable marketing strategies by optimizing data-driven operations, promoting digital resource efficiency, and fostering responsible marketing practices, contributing to sustainable development goals, such as innovation, infrastructure, and responsible consumption.…”
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A Catalog of Hα Emission-line Stars and 785 Newly Identified Young Stellar Object Candidates from LAMOST Based on a Deep Learning Method by Lei Tan, Ying Mei, Jiale Qian, Xiaolong Wang, Yue Cui, Aixin Huang, Feng Wang, Hui Deng, Chao Liu, Huanbin Chi

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A Shipborne Doppler Lidar Investigation of the Winter Marine Atmospheric Boundary Layer over Southeastern China’s Coastal Waters by Xiaoquan Song, Wenchao Lian, Fuyou Wang, Ping Jiang, Jie Wang

“…Employing a Coherent Doppler Wind Lidar (CDWL) system onboard the R/V “Yuezhanyu” research vessel, we investigated the spatiotemporal variability of MABL characteristics through integration with ERA5 reanalysis data. The key findings reveal a significant positive correlation between MABL height and surface sensible heat flux in winter, underscoring the dominant role of sensible heat flux in boundary layer development. …”
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