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A Narrative Review of Sulfur Compounds in Whisk(e)y
Published 2022-03-01“…Formation pathways, thresholds, and contribution have not been elucidated completely; therefore, methods for integrating diverse data and knowledge, as well as novel technical innovations, will be needed to control sulfur volatiles in the future.…”
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The Creation of the Hydrogen Supply Chain Decision Database
Published 2023-12-01“…Emphasis was placed on identifying key decision-making factors, integrating diverse data sources, and employing advanced analytical techniques to enhance the database’s utility. …”
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GAP: Geometric Aggregation of Popularity Metrics
Published 2020-06-01“…However, effectively modeling popularity and integrating diverse data sources are very challenging problems with no consensus on the optimal approach to tackle them. …”
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Research priorities for maintaining biodiversity’s contributions to people in Latin America
Published 2019-07-01“…Five main groups of questions emerged: (1) Enhancing the quantity, quality, and availability of biodiversity data; (2) Integrating different knowledge systems; (3) Improved methods for integrating diverse data; (4) Fundamental questions in ecology and evolution; and (5) Multi-level governance across boundaries. …”
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SEDIA: A Platform for Semantically Enriched IoT Data Integration and Development of Smart City Applications
Published 2023-08-01“…These include the need to address complex requirements such as integrating diverse data sources and incorporating geographical data that reflect the physical urban environment. …”
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Enhancing multimodal depression diagnosis through representation learning and knowledge transfer
Published 2024-02-01“…Additionally, integrating diverse data modalities, such as textual, imaging, and audio information, poses technical challenges due to data heterogeneity and high dimensionality. …”
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Personalized Explanations for Early Diagnosis of Alzheimer’s Disease Using Explainable Graph Neural Networks with Population Graphs
Published 2023-06-01“…Future research can extend these findings by integrating diverse data sources, employing longitudinal data, and refining the interpretability of the model, which potentially has broad applicability to other complex diseases.…”
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An application of 1D convolution and deep learning to remote sensing modelling of Secchi depth in the northern Adriatic Sea
Published 2024-01-01“…These findings have significant implications for monitoring ZSD in coastal areas. By integrating diverse data sources and leveraging advanced machine learning algorithms, a more accurate and comprehensive assessment of water quality can be achieved.…”
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Evaluating the use of paralogous protein domains to increase data availability for missense variant classification
Published 2023-12-01“…Additionally, we advocate adopting a numerical evidence-based approach to integrating diverse data in variant interpretation.…”
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A Standards Organization for Open and FAIR Neuroscience: the International Neuroinformatics Coordinating Facility
Published 2021“…Widely used, validated standards and best practices are key to addressing the challenges in both big and small data science, as they are essential for integrating diverse data and for developing a robust, effective, and sustainable infrastructure to support open and reproducible neuroscience. …”
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A Standards Organization for Open and FAIR Neuroscience: the International Neuroinformatics Coordinating Facility
Published 2021“…Widely used, validated standards and best practices are key to addressing the challenges in both big and small data science, as they are essential for integrating diverse data and for developing a robust, effective, and sustainable infrastructure to support open and reproducible neuroscience. …”
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Prediction of Potato (<i>Solanum tuberosum</i> L.) Yield Based on Machine Learning Methods
Published 2023-12-01“…Our findings revealed that the hybrid model, particularly when enhanced with SVM outlier detection, exhibited superior performance with the lowest Mean Absolute Percentage Error (MAPE) of 5.85%, underscoring the effectiveness of integrating diverse data sources into agricultural yield prediction. …”
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Linking high-resolution metabolic flux phenotypes and transcriptional regulation in yeast modulated by the global regulator Gcn4p
Published 2009“…As a first step in linking metabolic control and genetic regulatory networks, this model underscores the importance of integrating diverse data types in large-scale cellular models. …”
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Visual Analytics for Data-Driven Understanding of the Substance Use Disorder Epidemic
Published 2024-01-01“…By employing record linkage techniques, we integrate diverse data sources to provide a comprehensive view of the epidemic. …”
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A Machine Learning and Integration Based Architecture for Cognitive Disorder Detection Used for Early Autism Screening
Published 2020-03-01“…To this end, we propose a methodology able to integrate diverse data sources, even data that are collected separately. …”
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Applying multimodal data fusion to track autistic adolescents’ representational flexibility development during virtual reality-based training
Published 2024-01-01“…This data mining study integrated diverse data sources—including behavioral cues, physiological responses, and direct interaction logs—collected from 178 training sessions with eight autistic adolescents. …”
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Ontology-Based Data Observatory for Formal Knowledge Representation of UXO Using Advanced Semantic Web Technologies
Published 2024-02-01“…This paper introduces the Minefield Observatory, a novel web-based datastore service that semantically integrates diverse data in humanitarian demining to comprehensively and formally describe suspected minefields. …”
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Non-Contact Thermal and Acoustic Sensors with Embedded Artificial Intelligence for Point-of-Care Diagnostics
Published 2023-12-01“…The research integrates diverse data capture technologies to analyze them collectively, considering their temporal evolution and physical attributes, aiming to extract statistically significant relationships among various variables for valuable insights. …”
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Forgotten forests: expanding potential land use in traditional Hawaiian agroecosystems, and the social-ecological implications
Published 2023-12-01“…To remedy this limitation, we suggest a multimethods approach that integrates diverse data sets for an agricultural model that is more inclusive of all agricultural forms implemented by early Native Hawaiian populations and, therefore, is more representative of the extents of land use by island populations.…”
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