Public database mapping UK seafood supplies and nutrients(UK Data Service). by Anneli Löfstedt, Bernhard Scheliga, Magaly Aceves-Martins, Baukje de Roos

“…The nutritional composition (protein, omega-3 fatty acids, vitamin D, vitamin A, vitamin B12, calcium, iodine, iron, selenium, and zinc) for each species are also included. As the secondary data was obtained from different data sources, they were harmonised to efficiently link the data. …”
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A Multiple Imputation Workflow for Handling Missing Covariate Data in Pharmacometrics Modeling by My‐Luong Vuong, Geert Verbeke, Erwin Dreesen

“…This confirms multiple imputation as a superior alternative to single imputation for handling missing covariate data in pharmacometrics.…”
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Protection of data on operational and investigative activities in terms of ensuring the state’s information security by M. L. Hribov

“…Such information cannot include general data on the content, forms, methods and organisation of investigative and search activities. …”
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Machine learning-based multimodal data fusion for the Swiss land use statistics by Adrian Meyer, Gillian Milani, Natalie Lack, Maria Schönholzer, Denis Jordan

“…Our results show that fusing multiple data sources can substantially improve accuracy over CNN-only aerial image classification, demonstrating the potential of application to similar national or regional LU/LC mapping efforts worldwide.…”
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Detection of potential illegal environmental activities in Slovakia based on earth observation data by Tomáš Goga, Šimon Opravil, Miloš Rusnák, Ján Feranec, Daniel Szatmári, Juraj Papčo, Róbert Fencík, Róbert Pazúr, Monika Kopecká

“…This study outlines a methodology for detecting potential illegal environmental activities in Slovakia using Earth observation data, focusing on the destruction of protected grasslands and non-forest woody vegetation, ecosystems essential for climate resilience. …”
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Data acquisition of exercise and fitness pressure measurement based on artificial intelligence technology by Ru Liu, Wenxi Shen

“…To accurately record fitness strain, physical activity, exercise-induced stress, and sports like basketball, this system employs cutting-edge artificial intelligence technologies, such as wearable sensors and current gathering data methods. Placement of sensors, real-time data collecting, data preprocessing and integrating, evaluation of stress by artificial intelligence algorithms, discovery and application of new information, validation and improvement are all parts of an iterative method that has been fine-tuned for use in sports and fitness settings by the IPM-EFPM. …”
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PULSE: A modular framework for predictive energy efficiency in heterogeneous data centers by Daniel Flores-Martin, Felipe Lemus-Prieto, Juan A. Rico-Gallego

“…As digital transformation accelerates, data centers have become critical infrastructure, supporting cloud services, artificial intelligence, and real-time applications. …”
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Data governance & quality management—Innovation and breakthroughs across different fields by Bruno Miguel Vital Bernardo, Henrique São Mamede, João Manuel Pereira Barroso, Vítor Manuel Pereira Duarte dos Santos

“…By analyzing the existing literature, we seek to identify critical practices, challenges, and opportunities for improvement within the data governance discipline while providing organizations, practitioners, and scientists with the necessary knowledge and tools to guide them in the practical definition and application of data governance initiatives.…”
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Nonparametric regression estimation using multivariable truncated splines for binary response data by Afiqah Saffa Suriaslan, I Nyoman Budiantara, Vita Ratnasari

“…In recent years, Truncated Spline estimators in nonparametric regression for quantitative data have gained significant attention. However, in practical applications, it is common to encounter situations where the response variable is qualitative (binary). …”
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Enhancing Cybersecurity through Comprehensive Investigation of Data Flow-Based Attack Scenarios by Sara Abbaspour Asadollah, Shamoona Imtiaz, Alireza Dehlaghi-Ghadim, Mikael Sjödin, Marjan Sirjani

“…Integration of the Internet of Things (IoT) in industrial settings necessitates robust cybersecurity measures to mitigate risks such as data leakage, vulnerability exploitation, and compromised information flows. …”
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RpNGS: an automated platform for pathogen identification and monitoring in clinical metagenomics data by Jing Zhou, Yao Tian, Min Yang, Ting Hao, Jun Ma, Shengyu Wang

“…Conclusions RpNGS is an innovative, user-friendly standalone application designed to store laboratory data (including reagents, primers, contaminants and run configurations), manage clinical metadata, process FASTQ files and produce analytical and comparative reports (including Word documents) that can be readily reviewed and certified. …”
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Enhancing Precision Beekeeping by the Macro-Level Environmental Analysis of Crowdsourced Spatial Data by Daniels Kotovs, Agnese Krievina, Aleksejs Zacepins

“…The research included developing methods for obtaining, classifying, and analyzing OSM data. As a result, the structure of OSM data and data retrieval methods were studied. …”
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Machine Learning Model for Road Anomaly Detection Using Smartphone Accelerometer Data by Mahdi Zareei, Carlos Alonzo Lopez Castaneda, Faisal Alanazi, Fausto Granda, Jesus Arturo Perez-Diaz

“…Our methodology includes a custom mobile application for data collection, feature extraction through moving average filtering, and a 2-CNN architecture for classification. …”
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Efficient Compressed Sensing Reconstruction Algorithm for Nonnegative Vectors in Wireless Data Transmission by Yaguang Yang, Hao Zhang, Yu Liu, Yongqing Leng

“…With the rapid development of 5G communication and wireless Internet of Things technology, the application of intelligent wearable devices based on wireless data transmission technology is becoming more and more popular. …”
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Identifying the Applications of Internet of Things in the Smart Home by Using Meta synthesis Method by manochehr ansari, Ayoub Mohammadian, ehsan nevisande

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An efficient enhanced exponential distribution optimizer: applications in global, engineering, and combinatorial optimization problems by Marwa M. Emam, Mohammed R. Saad, Mina Younan, Essam H. Houssein

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Self-Supervised Learning to Unveil Brain Dysfunctional Signatures in Brain Disorders: Methods and Applications by Ying Li, Yanwu Yang, Yuchu Chen, Chenfei Ye, Ting Ma

“…Highlight: This paper provides a comprehensive overview of SSL techniques applied to functional neuroimaging data, such as functional magnetic resonance imaging and electroencephalography, with a specific focus on their applications in various neuropsychiatric disorders. …”
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The application of artificial intelligence models in predicting the risk of diabetic foot: a multicenter study by Yao Li, Siyuan Zhou, Bichen Ren, Shuai Ju, Xiaoyan Li, Wenqiang Li, Bingzhe Li, Yunmin Cai, Chunlei Chang, Lihong Huang, Zhihui Dong

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Job recommender systems: a systematic literature review, applications, open issues, and challenges by Duygu Çelik Ertuğrul, Selin Bitirim

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Open energy services: forecasting and optimization as a service for energy management applications at scale by David Wölfle, Kevin Förderer, Tobias Riedel, Natascha Fernengel, Lukas Landwich, Ralf Mikut, Veit Hagenmeyer, Hartmut Schmeck

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