A comprehensive survey on big data privacy and Hadoop security: Insights into encryption mechanisms and emerging trends by Youness Filaly, Nisrine Berros, Fatna El mendili, Younes El Bouzekri EL idrissi

“…We find weaknesses in existing techniques via a comparative study and provide a hybrid encryption system aimed at secure and efficient data processing in Hadoop settings. …”
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Employee Turnover Prediction Model Based on Feature Selection and Imbalanced Data Handling by Yuan Fang, Zhongqiu Zhang

“…Model generalization was further validated using cross-validation techniques. Results showed that the RF model, trained on GAN-balanced data and using RFE-selected only five features, achieved the best performance with an accuracy of 0.98, precision of 0.98, recall of 0.92, F1-score of 0.95, and Cohen’s Kappa of 0.94. …”
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Retrospective clinical and radiographic evaluation of restored endodontically treated teeth by Paula Pontes Garcia, Aline Cappoani, Ricardo Susin Schelbauer, Gisele Maria Correr, Carla Castiglia Gonzaga

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Feature selection in single-cell RNA sequencing data: a comprehensive evaluation by Petros Paplomatas, Konstantinos Lazaros, Georgios N. Dimitrakopoulos, Aristidis Vrahatis

“…Our findings underscore the enduring necessity for further refinement and continuous innovation in the field of scRNA-seq analysis, aiming to enhance the accuracy of cell-type identification and improve overall data interpretation.…”
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Potentiels et limites des traces (géo)numériques dans l’analyse des mobilités : l’exemple des données de la plateforme de covoiturage BlaBlaCar by Boris Mericskay

“…This paper aims to explore the potential of digital footprints in the analysis of mobility through the example of data from the Carpooling platform BlaBlaCar. …”
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The Perceptions of Vocational School Students of Video Animation-Based Learning Media to Operate Lathes in Distance Learning by Wahyu Mustafa Kusuma, Putu Sudira, Mhd Akbar Hasibuan, Rihab Wit Daryono

“…The research subjects consisted of 73 students of Mechanical Engineering Vocational Schools. The data collection technique used a questionnaire. The media feasibility test was carried out by two material and media experts. …”
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Application of Lipidomics in the Researches of Food Quality by Haolei HAN, Guangqin LIAO, Yuxuan WU, Houru LI, Yongzhong QIAN, Jing QIU

“…Lipidomics, as a metabolomics approach centered on lipids, aims to comprehensively analyze lipids within biological systems. …”
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Opening Letter of RILEM TC SDM: The current situation of data and metadata management in construction materials research - Emerging demands and viable solutions by Tanja Manninger, Fabien Georget, Ravi Patel, Tulio Honorio, Gilberto Cidreira Keserle, Roman Wan-Wendner, Sandra Barbosa Nunes

“…Along with a best-practice guideline for the storage of raw data, this will help data producers establish a robust routine that aligns with the FAIR data principles, facilitating the data's reuse. …”
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Quantitative Analysis of Sulfur Elements in Mars-like Rocks Based on Multimodal Data by Yuhang Dong, Zhengfeng Shi, Junsheng Yao, Li Zhang, Yongkang Chen, Junyan Jia

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Advancing 1.5T MR imaging: toward achieving 3T quality through deep learning super-resolution techniques by Sk Rahatul Jannat, Kirsten Lynch, Maryam Fotouhi, Steve Cen, Steve Cen, Jeiran Choupan, Nasim Sheikh-Bahaei, Nasim Sheikh-Bahaei, Gaurav Pandey, Bino A. Varghese

“…These factors impact heterogeneity in MRI neuroimaging data on account of the uneven distribution of 1.5T and 3T MRI scanners across healthcare institutions.MethodsIn our study, we investigated the efficacy of three deep learning-based super-resolution techniques to enhance 1.5T MRI images, aiming to achieve quality analogous to 3T scans. …”
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Applying Causal Machine Learning to Spatiotemporal Data Analysis: An Investigation of Opportunities and Challenges by Christian M. Mulomba, Vogel M. Kiketa, David M. Kutangila, Pescie H. K. Mampuya, Junior N. Mukenze, Landry M. Kasunzi, Kyandoghere Kyamakya, Tasho Tashev, Selain K. Kasereka

“…To bridge this gap, we review causal machine learning (CML) techniques for spatiotemporal data, aiming to provide robust insights into their unique advantages. …”
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Health professional’s data management practice in Ethiopia: a systematic review and meta-analysis by Mequannent Sharew Melaku, Bedilu Geremew, Tesema Zewdu, Zemenu Molla, Rukya Yassin, Agmasie Damtew Walle, Lamrot Yohannes

“…Healthcare professionals’ data handling techniques have been the subject of numerous research, yet the findings have been wildly inconsistent in Ethiopia. …”
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Mass-spectrometry based metabolomics: an overview of workflows, strategies, data analysis and applications by Kosar Hajnajafi, Mohammad Askandar Iqbal

“…Mass spectrometry (MS) has emerged as a powerful tool for metabolomic analysis due to its high sensitivity, resolution, and ability to characterize a wide range of metabolites thus offering deep insights into the metabolic profiles of living systems. Aim of review This review provides an overview of the methodologies, workflows, strategies, data analysis techniques, and applications associated with mass spectrometry-based metabolomics. …”
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Sp-IEclat: A Big Data Parallel Association Ｒule Mining Algorithm by LI Cheng-yan, XIN Xue, ZHAO Shuai, FENG Shi-xiang

“…Aiming at the problem of inefficient data mining of association rules in a big data environment，the Eclat algorithm is used to use a vertical database to convert the merging of transactions into collective operations. …”
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Exploring the State-of-the-Art Algorithms for Brain Tumor Classification Using MRI Data by Joice J Anish, D Ajitha

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Inception networks, data augmentation and transfer learning in EEG-based photosensitivity diagnosis by Fernando Moncada Martins, Víctor M González, José R Villar, Beatriz García López, Ana Isabel Gómez-Menéndez

“…This research tackles this problem and proposes using Inception-based deep learning (DL) neural networks that, together with transfer learning, are trained in epilepsy seizure detection and tuned in the PPR automatic detection task. A data augmentation (DA) technique is also applied to balance the available data set, evaluating its effects on the DL models. …”
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Building reliable evidence from real-world data: methods, cautiousness and recommendations by Giovanni Corrao

“…The aim is to provide researchers with a methodological framework, while commenting on the value of new techniques for more advanced users.…”
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Ensemble learning for multi-class COVID-19 detection from big data. by Sarah Kaleem, Adnan Sohail, Muhammad Usman Tariq, Muhammad Babar, Basit Qureshi

“…In response to this crisis, data science and machine learning (ML) offer crucial solutions to complex problems, including those posed by COVID-19. …”
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A PRACTICE OF OPEN DATA ADOPTION TO «PROGRAMMING» COURSE OF «SOFTWARE ENGINEERING» BACHELOR PROGRAM by Olga V. Maksimenkova, Vadim V. Podbelskiy

“…Abstract. The aim of the publication is to show the possibilities of use of open data in teaching courses of programming.Methods. …”
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A comprehensive review of tree cover mapping using satellite sensor data by Md. Shamim Reza Saimun, M. Mahmudur Rahman

“…From coarse to high resolution satellite data (e.g., Landsat, Sentinel, MODIS, Worldview, ALOS PALSAR etc.) are used independently or with an integration depending on the purpose, availability, and economical feasibility. …”
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