Results 11 to 20 of about 6,642,537 (325)
Formulating and testing a method for perturbing precipitation time series to reflect anticipated climatic changes [PDF]
Urban water infrastructure has very long planning horizons, and planning is thus very dependent on reliable estimates of the impacts of climate change. Many urban water systems are designed using time series with a high temporal resolution. To assess the
H. J. D. Sørup +3 more
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This article includes data collected from public and private buildings in Latvia as part of several projects/tenders funded from the governmental Climate Change Financial Instrument (KPFI11 KPFI stands for Klimata Pārmaiņu Finanšu Instruments (Climate ...
Elissaios Sarmas +4 more
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Fast and scalable neural embedding models for biomedical sentence classification
Background Biomedical literature is expanding rapidly, and tools that help locate information of interest are needed. To this end, a multitude of different approaches for classifying sentences in biomedical publications according to their coarse semantic
Asan Agibetov +3 more
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A Multitask Learning Framework for Predicting Ship Fuel Oil Consumption
Predicting the ship fuel consumption constitutes a prerequisite for speed, trim, and voyage optimization. In spite of the rise of deep learning and transformers in many domains, research works train shallow machine learning (ML) algorithms for predicting
Loukas Ilias +3 more
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Hazard Assessment and Hazard Mapping for Kuwait
Hazard maps are essential tools to aid decision makers in land-use planning, sustainable infrastructure development, and emergency preparedness. Despite the availability of historical data, there has been no attempt to produce hazard maps for Kuwait.
Ali Al-Hemoud +6 more
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Handwritten mathematical symbols dataset
Due to the technological advances in recent years, paper scientific documents are used less and less. Thus, the trend in the scientific community to use digital documents has increased considerably.
Yassine Chajri, Belaid Bouikhalene
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The environmental and economic importance of Astragalus Spinosus in land restoration
Astragalus spinous is a native perennial shrubs from Leguminosae family that widely distributed in severely degraded lands at northern Kuwait. A restoration program was applied via levelling and refilling the quarries and rehabilitation of the natural ...
Modi Ahmed, Noor Al-Dousari
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The use of ICT during lockdown in higher education and the effects on university instructors
During the pandemic, the Higher Education Institutions of Greece used Information and Communications Technologies (ICT) to an unprecedented degree to respond to the requirements of distance education and research work.
Evangelia Krassadaki +3 more
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Neural network algorithm for predicting human speed based on computer vision and machine learning [PDF]
The problem of increasing the accuracy of predicting human actions is an urgent task for various human-machine systems. The study examines the solution to the problem of predicting human speed using neural network algorithms, computer vision technologies,
Obukhov Artem +4 more
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Missing Value Imputation Methods for Electronic Health Records
Electronic health records (EHR) are patient-level information, e.g., laboratory tests and questionnaires, stored in electronic format. Compared to physical records, the EHR alternative allows patients to access their data easily and helps staff with ...
Konstantinos Psychogyios +3 more
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