Crop Yield Prediction: Data Structure and Ai-Powered Methods by V. K. Kalichkin, K. Yu. Maksimovich, O. A. Aleshchenko, V. V. Aleshchenko

“…(Materials and methods) Using a convergent approach and applying methods of cognitive and semantic analysis, the authors examined the subject area of artificial intelligence applications in crop yield prediction. The study also explores key aspects related to the structure of input data, the main stages of implementing predictive models, and the most widely used machine learning and deep learning methods. …”
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Enhancing Wearable Fall Detection System via Synthetic Data by Minakshi Debnath, Sana Alamgeer, Md Shahriar Kabir, Anne H. Ngu

“…Incorporating Diffusion-based synthetic data improves the offline F1-score by 7–10% and boosts real-time fall detection performance by 24%, confirming its value in enhancing model robustness and applicability in real-world settings.…”
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SURGERY IMPACT ON LIFE QUALITY DATA IN CHILDREN WITH DETACHED RETINA by A. N. Sergienko, V. V. Dashina, A. V. Malishev, O. I. Lisenko, S. V. Yanchenko

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Research on Service-Oriented Sharing and Computing Framework of Geographic Data for Geographic Modeling and Simulation by Jin Wang, Lingkai Shi, Xuan Zhang, Kai Xu, Zaiyang Ma, Yongning Wen, Min Chen

“…This paper proposes a service-oriented geographic data-sharing and computing framework, which provides users with a complete set of geographic data access and application processes (such as data acquisition, processing, configuration, etc.), so as to reduce the difficulty of using data and improve the efficiency of data sharing. …”
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The FLAIR-GG federated network of FAIR germplasm data resources by Alberto Cámara Ballesteros, Elena Aguayo Jara, Evrykleia Sofia Verykaki, Germán Pastor del Olmo, Santiago Moreno Vázquez, Elena Torres, Mark D. Wilkinson

“…Thus, it is extremely difficult to build conservation strategies for wild species via integrating data from these GBs. Here, we envisage that the application of the FAIR Principles to wild species and crop wild relatives information, through the creation of a federated network of FAIR GB databases, would greatly facilitate cross-resource discovery and exploration, thus assisting with the design of more efficient conservation strategies for wild species, and bringing more attention to these key data providers.…”
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Possibility of using remote sensing data for glaciological calculations and monitoring by V. G. Konovalov, V. A. Rudakov

“…This will reduce errors in glaciological interpretation of satellite images and improve the quality of spatial extrapolation of meteorological data. Examples are given of determining the spectral albedo of glacier surface, using ENVI software and remote sensing data from Landsat 7 ETM+ and TERRA. …”
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Deciphering Design of Aggregation‐Induced Emission Materials by Data Interpretation by Junyi Gong, Ziwei Deng, Huilin Xie, Zijie Qiu, Zheng Zhao, Ben Zhong Tang

“…Abstract This work presents a novel methodology for elucidating the characteristics of aggregation‐induced emission (AIE) systems through the application of data science techniques. A new set of chemical fingerprints specifically tailored to the photophysics of AIE systems is developed. …”
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Optimizing Sensor Data Interpretation via Hybrid Parametric Bootstrapping by Victor V. Golovko

“…We used publicly accessible <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mmultiscripts><mi mathvariant="normal">U</mi><none></none><none></none><mprescripts></mprescripts><none></none><mn>235</mn></mmultiscripts></semantics></math></inline-formula> data from the Eastern Desert of Egypt to demonstrate the application of these statistical methods to small datasets, providing reliable upper limit estimates that are vital for remediation and decommissioning efforts. …”
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Research on occupational health and safety management in the context of big data by Qianrui Hwang, Min Yao, Min Yao, Shugang Li, Fang Wang, Zheng Li, Tongshuang Liu

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MONITORING DATA AGGREGATION OF DYNAMIC SYSTEMS USING INFORMATION TECHNOLOGIES by Dmytro Shevchenko, Mykhaylo Ugryumov, Sergii Artiukh

“… The subject matter of the article is models, methods and information technologies of monitoring data aggregation. The goal of the article is to determine the best deep learning model for reducing the dimensionality of dynamic systems monitoring data. …”
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Substantiation of source data on the parametric algorithms for the classification of weather hazards by O. V. Vasiliev, E. S. Boyarenko, K. I. Galaeva

“…This article discusses the application of the Bayesian approach to the WH classification. …”
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Efficient Fourier base fitting on masked or incomplete structured data by Fariba Karimi, Fariba Karimi, Esra Neufeld, Arya Fallahi, Arya Fallahi, Vartan Kurtcuoglu, Niels Kuster, Niels Kuster

“…Its application is demonstrated in the reconstruction of noisy and partially unreliable brain pulsation data in the context of the development of a biomarker for non-invasive craniospinal compliance monitoring and neurological disease diagnostics.DiscussionThe study investigated the impact of different analytical and numerical performance improvement measures (e.g., term rearrangement, precomputation of recurring functions, vectorization) on computational complexity and speed. …”
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A Semantic Approach for Linked Model, Data, and Dataspace Cards by Andy Donald, Apostolos Galanopoulos, Edward Curry, Emir Munoz, Ihsan Ullah, M. A. Waskow, Manan Kalra, Sagar Saxena, Talha Iqbal

“…Moreover, the Dataspace concept integrates these resources into Dataspace Cards, a comprehensive framework that systematically captures and organises crucial information to guide model and data selection for a specific application. This paper advocates a Semantic Web approach for transforming Model/Data Cards into Linked Data or knowledge graphs within a Dataspace, rendering them machine-readable and interoperable. …”
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Dataset of apples for grading by sweetness, ripeness and varietyMendeley Data by Shilpa Gaikwad, Sonali Kothari, Ignisha Rajathi G

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Traffic big data:an agile architecture design based on micro service by Shengdong DU, Yan YANG, Fei TENG

“…Faced with a wide range of intelligent transportation application scenarios and technical requirements,the general big data system is difficult to adapt to a variety of processing and make a quick response.In order to solve this problem,the methodology of agile big data for the first time was put forward.Based on the iterative nature of data science,the agile big data architecture based on micro service was designed,and the key points of the traffic oriented micro service and data fusion technology were discussed.The agile big data architecture provides new idea and method for efficient and flexible data mining and machine learning under the environment of traffic big data.…”
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Locomotive On-board Data Dump System Based on Automatic Task Model by DENG Zhifeng, WANG Yu, YU Zhihao

“…In order to meet the requirements of safety, reliability, efficiency and intelligence of locomotive on-board data dump, an intelligent dump system with video clipping function and a set of file priority was designed, and its functions including on-board data acquisition, task management, data synchronization, dump and ground system were introduced in detail. …”
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The Vertebrate Breed Ontology: Toward Effective Breed Data Standardization by Kathleen R. Mullen, Imke Tammen, Nicolas A. Matentzoglu, Marius Mather, James P. Balhoff, Elizabeth Esdaile, Gregoire Leroy, Carissa A. Park, Halie M. Rando, Nadia T. Saklou, Tracy L. Webb, Nicole A. Vasilevsky, Christopher J. Mungall, Melissa A. Haendel, Frank W. Nicholas, Sabrina Toro

“…ABSTRACT Background Limited universally‐adopted data standards in veterinary medicine hinder data interoperability and therefore integration and comparison; this ultimately impedes the application of existing information‐based tools to support advancement in diagnostics, treatments, and precision medicine. …”
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Crustal thickness and lithospheric properties of Mercury constrained by gravity data by Qingyun Deng, Mao Ye, Weifeng Hao, Chi Xiao, Zhen Zhong, Denggao Qiu, Wensong Zhang, Chong Zheng, Yichen Wang, Jianguo Yan, Jean-Pierre Barriot, Zhiyong Xiao, Fei Li

“…With gravity and topography data, the crustal thickness and lithospheric elastic thickness are inferred through geophysical modeling. …”
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Open government data in health sector: a systematic literature review by Patrícia Nascimento Silva, Sarah Nascimento Silva

“…The quality methodological of related studies was based on the JBI Critical Appraisal tool. Data extraction included the location of the application, description of the initiative/use of data, themes addressed, data quality, and respective evaluation tools. …”
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Operationalising weather surveillance radar data for use in ecological research by Maryna Lukach, Thomas Dally, William Evans, Elizabeth J. Duncan, Lindsay Bennett, Freya I. Addison, William E. Kunin, Jason W. Chapman, Ryan R. Neely, III, Christopher Hassall

“…From the full volume of WSR data collected approximately every six minutes we extract vertical columns of WSR observations above sites to compare against standardised nocturnal macro-moth monitoring data at ground level. …”
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