Development of a Medical Information System with Data Storage and Intelligent Image Analysis by D. A. Yakimov, N. V. Vygovskaya, I. V. Drozdov

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Conservation and genetic analysis of the endangered Martina Franca donkey using pedigree data by Claudia Pierini, Vincenzo Landi, Elena Ciani, Aristide Maggiolino, Domenico Campanile, Mayra Gomez Carpio, Pasquale De Palo

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Learning Path Analysis of Optimizing Educational Data Mining Based on Genetic Algorithm by Wu Yanhong

“…With the extensive use of educational data mining in the field of learning analysis, identifying an effective approach to maximize learning route analysis has become a research priority. …”
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MetaLo: metabolic analysis of Logical models extracted from molecular interaction maps by Aghakhani Sahar, Niarakis Anna, Soliman Sylvain

“…The framework behind MetaLo enables in depth analysis of the regulatory model, and may allow tackling a lack of omics data in poorly addressed biological fields to contextualize generic metabolic networks along with improper automatic reconstructions of cell- and/or disease-specific metabolic networks. …”
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Wildlife biology, big data, and reproducible research by Keith P. Lewis, Eric Vander Wal, David A. Fifield

“…However, with this growth in data, practices such as data management, exploratory data analysis, data‐sharing, and reproducibility of an analysis have become increasingly complex. …”
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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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Meteorological Temperature and Humidity Prediction from Fourier-Statistical Analysis of Hourly Data by Alejandro Castañeda-Miranda, M. de Icaza-Herrera, Víctor M. Castaño

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Stochastic Identification and Analysis of Long-Term Degradation Through Health Index Data by Hamid Shiri, Pawel Zimroz

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CoMA - an intuitive and user-friendly pipeline for amplicon-sequencing data analysis. by Sebastian Hupfauf, Mohammad Etemadi, Marina Fernández-Delgado Juárez, María Gómez-Brandón, Heribert Insam, Sabine Marie Podmirseg

“…Here, we introduce "CoMA-Comparative Microbiome Analysis" as a free and intuitive analysis pipeline for amplicon-sequencing data, compatible with any common operating system. …”
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Urban Traffic State Sensing and Analysis Based on ETC Data: A Survey by Yizhe Wang, Ruifa Luo, Xiaoguang Yang

“…This paper reviews the research status, key technologies, and development trends of urban traffic state sensing and analysis technologies based on ETC data. In terms of technological development, ETC systems have evolved from simple toll collection tools to comprehensive traffic management platforms, featuring unique advantages such as accurate vehicle identification, extensive spatiotemporal coverage, and stable data quality. …”
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Multi-locus analysis of genomic time series data from experimental evolution. by Jonathan Terhorst, Christian Schlötterer, Yun S Song

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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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Enhancing Ground Penetrating Radar (GPR) Data Analysis Utilizing Machine Learning by Mohanad Shehab, Musab T.S. Al-Kaltakchi, Ammar Dukhan, Wai Lok Woo

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Mathematical analysis of Lassa fever epidemic model utilizing Nigeria demographic data by Abdullahi M. Auwal, Salisu Usaini

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TERABIT DATA RATE, OPTICAL SYSTEM DESIGN AND ANALYSIS FOR DIFFERENT COMPENSATION METHODS by Ahmed Abdul Salam ALobaidi, Meena Al Baghdadi, Ali Kareem Najm AL-ASADI, Mustafa Kareem Najm AL-ASADI, Ahmed Hussein Ahmed

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Thermographic Data Processing and Feature Extraction Approaches for Machine Learning-Based Defect Detection by Alexey Moskovchenko, Michal Svantner

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Analysis of Electroacupuncture Parameters for Irritable Bowel Syndrome: A Data Mining Approach by Tang Y, Tang X, Wen Q

“…Therefore, the clinical application of these therapeutic modalities requires further validation.Keywords: data mining, electroacupuncture stimulation parameters, acupoint selection rules, association rule analysis…”
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Variable Cluster Analysis of Employment in the Cities of the Russian Federation by I. A. Zalmanov

“…As a result of the cluster analysis, statistically homogeneous subgroups of cities were identified that differ in the level of employment, administrative composition, set and nature of the influence of factor indexes on employment. …”
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The NANOGrav 15 yr Data Set: Harmonic Analysis of the Pulsar Angular Correlations by Gabriella Agazie, Akash Anumarlapudi, Anne M. Archibald, Zaven Arzoumanian, Jeremy G. Baier, Paul T. Baker, Bence Bécsy, Laura Blecha, Kimberly K. Boddy, Adam Brazier, Paul R. Brook, Sarah Burke-Spolaor, Rand Burnette, J. Andrew Casey-Clyde, Maria Charisi, Shami Chatterjee, Tyler Cohen, James M. Cordes, Neil J. Cornish, Fronefield Crawford, H. Thankful Cromartie, Kathryn Crowter, Megan E. DeCesar, Paul B. Demorest, Heling Deng, Lankeswar Dey, Timothy Dolch, Elizabeth C. Ferrara, William Fiore, Emmanuel Fonseca, Gabriel E. Freedman, Emiko C. Gardiner, Nate Garver-Daniels, Peter A. Gentile, Kyle A. Gersbach, Joseph Glaser, Deborah C. Good, Kayhan Gültekin, Jeffrey S. Hazboun, Ross J. Jennings, Aaron D. Johnson, Megan L. Jones, David L. Kaplan, Luke Zoltan Kelley, Matthew Kerr, Joey S. Key, Nima Laal, Michael T. Lam, William G. Lamb, Bjorn Larsen, T. Joseph W. Lazio, Natalia Lewandowska, Tingting Liu, Duncan R. Lorimer, Jing Luo, Ryan S. Lynch, Chung-Pei Ma, Dustin R. Madison, Alexander McEwen, James W. McKee, Maura A. McLaughlin, Natasha McMann, Bradley W. Meyers, Patrick M. Meyers, Chiara M. F. Mingarelli, Andrea Mitridate, Jonathan Nay, Cherry Ng, David J. Nice, Stella Koch Ocker, Ken D. Olum, Timothy T. Pennucci, Benetge B. P. Perera, Polina Petrov, Nihan S. Pol, Henri A. Radovan, Scott M. Ransom, Paul S. Ray, Jessie C. Runnoe, Alexander Saffer, Shashwat C. Sardesai, Ann Schmiedekamp, Carl Schmiedekamp, Kai Schmitz, Brent J. Shapiro-Albert, Xavier Siemens, Joseph Simon, Magdalena S. Siwek, Tristan L. Smith, Sophia V. Sosa Fiscella, Ingrid H. Stairs, Daniel R. Stinebring, Kevin Stovall, Abhimanyu Susobhanan, Joseph K. Swiggum, Jacob Taylor, Stephen R. Taylor, Jacob E. Turner, Caner Unal, Michele Vallisneri, Rutger van Haasteren, Sarah J. Vigeland, Haley M. Wahl, Caitlin A. Witt, David Wright, Olivia Young, The NANOGrav Collaboration

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An Efficient Privacy-preserving Deep Learning Scheme for Medical Image Analysis by J. Andrew Onesimu, J Karthikeyan

“…In recent privacy has emerged as one of the major concerns of deep learning, since it requires huge amount of personal data. Medical Image Analysis is one of the prominent areas where sensitive data are shared to a third party service provider. …”
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