Maturity of knowledge management evaluation in organizational units using Data Envelopment Analysis by Nazila Adabavazeh, Mehrzad Navabakhsh

“…Lingoes software was used for data analysis. An input-oriented data envelopment analysis model was used to determine the highest efficiency ratio and to intervene in the optimal weighting of inputs and outputs of other decision-making units for the unit under study. …”
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Using feature importance as an exploratory data analysis tool on Earth system models by D. Ries, K. Goode, K. McClernon, B. Hillman

“…In this paper, we present a case study that demonstrates the use of ML for exploratory data analysis (EDA) in the climate space. We apply the ML explainability method of spatiotemporal zeroed feature importance (stZFI) to understand how climate-variable associations evolve over space and time. …”
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fNIRS reproducibility varies with data quality, analysis pipelines, and researcher experience by Meryem A. Yücel, Robert Luke, Rickson C. Mesquita, Alexander von Lühmann, David M. A. Mehler, Michael Lührs, Jessica Gemignani, Androu Abdalmalak, Franziska Albrecht, Iara de Almeida Ivo, Christina Artemenko, Kira Ashton, Paweł Augustynowicz, Aahana Bajracharya, Elise Bannier, Beatrix Barth, Laurie Bayet, Jacqueline Behrendt, Hadi Borj Khani, Lenaic Borot, Jordan A. Borrell, Sabrina Brigadoi, Kolby Brink, Chiara Bulgarelli, Emmanuel Caruyer, Hsin-Chin Chen, Christopher Copeland, Isabelle Corouge, Simone Cutini, Renata Di Lorenzo, Thomas Dresler, Adam T. Eggebrecht, Ann-Christine Ehlis, Sinem B. Erdoğan, Danielle Evenblij, Talukdar Raian Ferdous, Victoria Fracalossi, Erika Franzén, Anne Gallagher, Christian Gerloff, Judit Gervain, Noy Goldhamer, Louisa K. Gossé, Ségolène M. R. Guérin, Edgar Guevara, SM Hadi Hosseini, Hamish Innes-Brown, Isabell Int-Veen, Sagi Jaffe-Dax, Nolwenn Jégou, Hiroshi Kawaguchi, Caroline Kelsey, Michaela Kent, Roman Kessler, Nadeen Kherbawy, Franziska Klein, Nofar Kochavi, Matthew Kolisnyk, Yogev Koren, Agnes Kroczek, Alexander Kvist, Chen-Hao Paul Lin, Andreas Löw, Siying Luan, Darren Mao, Giovani G. Martins, Eike Middell, Samuel Montero-Hernandez, Murat Can Mutlu, Sergio L. Novi, Natacha Paquette, Ishara Paranawithana, Yisrael Parmet, Jonathan E. Peelle, Ke Peng, Tommy Peng, João Pereira, Paola Pinti, Luca Pollonini, Ali Rahimpour Jounghani, Vanessa Reindl, Wiebke Ringels, Betti Schopp, Alina Schulte, Martin Schulte-Rüther, Ari Segel, Tirdad Seifi Ala, Maureen J. Shader, Hadas Shavit, Arefeh Sherafati, Mojtaba Soltanlou, Bettina Sorger, Emma Speh, Kevin D. Stubbs, Katharina Stute, Eileen F. Sullivan, Sungho Tak, Zeus Tipado, Julie Tremblay, Homa Vahidi, Maaike Van Eeckhoutte, Phetsamone Vannasing, Gregoire Vergotte, Marion A. Vincent, Eileen Weiss, Dalin Yang, Gülnaz Yükselen, Dariusz Zapała, Vit Zemanek

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Identifying key palmitoylation-associated genes in endometriosis through genomic data analysis by Jinyan Kai, Jiaqi Su, Yinping You, Xiaoliang Liang, Haitao Huang, Jie Fang, Qiong Chen

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A graphical pipeline platform for MRS data processing and analysis: MRSpecLAB by Ying Xiao, Ying Xiao, Antonia Kaiser, Matthias Kockisch, Alex Back, Robin Carlet, Xinyu Liu, Xinyu Liu, Zhiwei Huang, André Döring, Mark Widmaier, Lijing Xin

“…Existing data processing software solutions often demand MRS expertise or coding knowledge, presenting a steep learning curve for novel users. …”
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A Data-Driven Approach to Tourism Demand Forecasting: Integrating Web Search Data into a SARIMAX Model by Geun-Cheol Lee

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Ensemble learning for prediction of inorganic scale formation: A case study in Oman by Mohammed Talib Said Al Harrasi, Alireza Kazemi, Reza Yousefzadeh

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Asynchronous Real-Time Federated Learning for Anomaly Detection in Microservice Cloud Applications by Mahsa Raeiszadeh, Amin Ebrahimzadeh, Roch H. Glitho, Johan Eker, Raquel A. F. Mini

“…Therefore, effective anomaly detection is crucial to prevent impending failures and resolve them promptly. Distributed data analysis techniques based on machine learning (ML) have recently gained attention in detecting anomalies in microservice systems. …”
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Markarian Multiwavelength Data Center (MMDC): A Tool for Retrieving and Modeling Multitemporal, Multiwavelength, and Multimessenger Data from Blazar Observations by N. Sahakyan, V. Vardanyan, P. Giommi, D. Bégué, D. Israyelyan, G. Harutyunyan, M. Manvelyan, M. Khachatryan, H. Dereli-Bégué, S. Gasparyan

“…MMDC distinguishes itself from other online platforms by the large quantity of available data. For instance, it includes data from all blazar observations by Swift and NuSTAR, as well as the results of detailed spectral analysis in the γ -ray band during different emission states, covering the period from 2008 to 2023. …”
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Enhancing mosquito classification through self-supervised learning by Ratana Charoenpanyakul, Veerayuth Kittichai, Songpol Eiamsamang, Patchara Sriwichai, Natchapon Pinetsuksai, Kaung Myat Naing, Teerawat Tongloy, Siridech Boonsang, Santhad Chuwongin

“…The BYOL algorithm offers a key advantage by eliminating the need for labeled data during pretraining, as it autonomously learns important features. …”
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GPT Models Can Perform Thematic Analysis in Public Health Studies, Akin to Qualitative Researchers by Yuyi Yang, Charles Alba, Chenyu Wang, Xi Wang, Jami Anderson, Ruopeng An

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An Analysis of Selected Data Practices: A Case Study of the Purdue College of Agriculture. by Line Pouchard, Marianne Stowell Bracke

“…Where do students primarily learn research data management skills? The survey documents that there is a statistically significant difference in data holding sizes between faculty and graduate students, and that MS-Excel is still the analysis tool of choice. …”
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Data Analysis for Emotion Classification Based on Bio-Information in Self-Driving Vehicles by Tae-Yeun Kim, Hoon Ko, Sung-Hwan Kim

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Searching for fat tails in CRISPR-Cas systems: Data analysis and mathematical modeling. by Yekaterina S Pavlova, David Paez-Espino, Andrew Yu Morozov, Ilya S Belalov

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Salient object detection dataset with adversarial attacks for genetic programming and neural networksMendeley Data by Matthieu Olague, Gustavo Olague, Roberto Pineda, Gerardo Ibarra-Vazquez

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A Multicomponent Collaborative Fossil Fuel Power Plants Detection Framework Based on Geographic Analysis in Wide Areas by Ning Li, Min Jing, Wanxuan Geng, Shengkun Dongye, Hui Chen, Chen Ji, Liang Cheng

“…These results demonstrate the framework’s reliability for efficient and automated FFPP detection, representing a novel integration of multisource geographic analysis, deep-learning-based object detection, and wide-area FFPP recognition.…”
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Whether it is worth Being Fond of Big Data? by E. L. Shuremov

“…Already in the nearest future the shortage of computing power will become serious restriction of deep machine learning. A review of literature showed that the commercialization of artificial intelligence and big data negatively affects the solution of fundamental problems in the industry development. …”
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Comparative analysis of security models in cloud platforms by Semen M. Levin

“…The article sheds light on current trends and technologies in cloud data protection, including the use of artificial intelligence and machine learning to enhance threat detection efficiency and the implementation of confidential computing and blockchain technologies to improve data protection. …”
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Recognition of Human Activities Based on Ambient Audio and Vibration Data by Marcel Koch, Thomas Pfitzinger, Fabian Schlenke, Fabian Kohlmorgen, Roland Groll, Hendrik Wohrle

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High-performance glass classification using advanced machine learning and deep learning algorithms with a comprehensive feature analysis by Mohammed Bouziane, Abdelghani Bouziane, Samia Larguech, Khatir Naima, Mohammad Salman Haque, Younes Menni

“…The work uses a dataset of 214 samples with nine chemical and physical properties. Exploratory Data Analysis provides significant patterns and verifies pre-determined glass classes through clustering techniques like Gaussian Mixture Models. …”
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