A dataset of annotated free comments on the sensory perception of madeleines for benchmarking text mining techniquesRecherche.Data.Gouv by Michel Visalli, Ronan Symoneaux, Cécile Mursic, Margaux Touret, Flore Lourtioux, Kipédène Coulibaly, Benjamin Mahieu

“…This dataset was created to investigate the impact of data collection modes and pre-processing techniques on the quality of free comment data related to consumers' sensory perceptions. …”
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MANAGEMENT OF PERSONAL DATA PROCESSING AND PROTECTION by Elena COFAS

“…This article emphasizes the crucial significance of personal data and the potential dangers arising from its unauthorized processing, which can violate an individual's basic rights and freedoms. …”
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Interpretable correlator Transformer for image-like quantum matter data by Abhinav Suresh, Henning Schlömer, Baran Hashemi, Annabelle Bohrdt

“…Due to their inherent capabilities of capturing non-local dependencies, Transformer neural networks have quickly been established as the paradigmatic architecture for large language models and image processing. Next to these traditional applications, machine learning (ML) methods have also been demonstrated to be versatile tools in the analysis of image-like data of quantum phases of matter, e.g. given snapshots of many-body wave functions obtained in ultracold atom experiments. …”
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Decision Making in the Innovation Process: Data-Driven vs. Data-Informed by Muge Abac

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Sparse connectivity enables efficient information processing in cortex-like artificial neural networks by Rieke Fruengel, Rieke Fruengel, Marcel Oberlaender, Marcel Oberlaender

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Process mining in mHealth data analysis by Michael Winter, Berthold Langguth, Winfried Schlee, Rüdiger Pryss

“…Abstract This perspective article explores how process mining can extract clinical insights from mobile health data and complement data-driven techniques like machine learning. …”
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ALGORITHM OF AIRCRAFT FLIGHT DATA PROCESSING IN REAL-TIME by Elkhan SABZIEV

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Modeling biogeochemical processes in the Azov Sea using statistically processed data on river flow by A. I. Sukhinov, Y. V. Belova, A. V. Nikitina, A. M. Atayan

“…River flow, varying in volume and chemical composition, affects significantly the variability of hydrophysical and biogeochemical parameters of the processes occurring in the coastal environment. This explains the need for statistical processing of the data from long-term observations over the river flow characteristics.Materials and Methods. …”
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Human Contributions to Safety Data Testbed Flight Simulation Study: Data Methods, Processing, and Quality by Tyler Fettrow, Chad Stephens, Lance Prinzel, Jon Holbrook, Kathryn Ballard, Sepehr Bastami, Michael Stewart, Daniel Kiggins

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Advances in Multi-Source Navigation Data Fusion Processing Methods by Xiaping Ma, Peimin Zhou, Xiaoxing He

“…On the other hand, the introduction of AI technologies like deep learning and reinforcement learning has provided new solutions for multi-source data fusion, particularly enhancing adaptive capabilities in complex and dynamic environments. …”
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Natural Gomesin-like Peptides with More Selective Antifungal Activities by Ilia A. Bolosov, Ekaterina I. Finkina, Ivan V. Bogdanov, Victoria N. Safronova, Pavel V. Panteleev, Tatiana V. Ovchinnikova

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Analyzing Data Incompleteness for MRI Data for Quality Enhancement by Sanjay Shanbhag, Supreetha Raju, Varadraj P. Gurupur, S. Sowmya Kamath, Rajesh N. V. P. S. Kandala, Elizabeth A. Trader, Shyam Lal

“…By accurately identifying and quantifying these artifacts, our algorithms aim to improve MRI data’s overall quality and completeness, ultimately enhancing diagnostic accuracy and patient care.…”
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Photon-likeness of Hadron Showers and Impact of Lorentz Boosting by Jannis Pawlowsky, Karl-Heinz Kampert, Julian Rautenberg

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A data driven approach for soft tissue biomarker identification linked to Chiari-like malformation and syringomyelia by Jake Cumber, Jake Cumber, Emma Scales-Theobald, Emma Scales-Theobald, Clare Rusbridge, Clare Rusbridge, Clare Rusbridge, Kevin Wells, Kevin Wells

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Denoising Diffusion Probabilistic Model for Realistic and Fast Generated Euclid-like Data for Weak Lensing Analysis by Diana Scognamiglio, Jake H. Lee, Eric Huff, Sergi R. Hildebrandt, Shoubaneh Hemmati

“…Generating such a large and realistic data set efficiently is feasible using advanced generative models like denoising diffusion probabilistic models. …”
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Improved Detection of Multiple Faint Streak-like Space Targets from a Single Star Image by Yong Han, Desheng Wen, Jie Li, Zhangchi Qiao

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Future Outlook of Highway Operations with Implementation of Innovative Technologies Like AV, CV, IoT and Big Data by Muhammad Azmat, Sebastian Kummer, Lara Trigueiro Moura, Federico Di Gennaro, Rene Moser

“…It is highly likely that technological advancements like autonomous or connected vehicles, big data and the Internet of things can provide highway operators with a solution that might resolve unforeseeable challenges. …”
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Violation of Leggett–Garg Inequality in Perceiving Cup-like Objects and Cognitive Contextuality by Likan Zhan, Andrei Khrennikov, Yingce Zhu

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Oil Commodity Movement Estimation: Analysis with Gaussian Process and Data Science by Mulue Gebreslasie, Indranil SenGupta

“…In this study, Gaussian process (GP) regression is used to normalize observed commodity data and produce predictions at densely interpolated time intervals. …”
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NLP-like deep learning aided in identification and validation of thiosulfinate tolerance clusters in diverse bacteria by Brendon K. Myers, Anuj Lamichhane, Brian H. Kvitko, Bhabesh Dutta

“…This work demonstrates the potential of these techniques to simplify the identification process and enhance the applicability of biological data in real-world scenarios.IMPORTANCEThiosulfinates, like allicin, are potent antifeedants and antimicrobials produced by Allium species and pose a challenge for phytopathogenic bacteria. …”
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