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Real-time use of the iPad by third-year medical students for clinical decision support and learning: a mixed methods study [PDF]
Journal of Community Hospital Internal Medicine Perspectives, 2014 Purpose: Despite widespread use of mobile technology in medical education, medical students’ use of mobile technology for clinical decision support and learning is not well understood.
Michelle A. Nuss +4 more
doaj +1 more source
Advances in Distributed Computing and Artificial Intelligence Journal, 2021 Domain Name System (DNS) is a protocol for converting numeric IP addresses of websites into a human-readable form. With the development of technology, to transfer information, a method like DNS tunneling is used which includes data encryption into DNS ...
Dr. Gopal Sakarkar +6 more
doaj +1 more source
Enhancing Privacy-Preserving Intrusion Detection in Blockchain-Based Networks with Deep Learning
Data Science Journal, 2023 Data transfer in sensitive industries such as healthcare presents significant challenges due to privacy issues, which makes it difficult to collaborate and use machine learning effectively. These issues are explored in this study by looking at how hybrid
Junzhou Li, Qianhui Sun, Feixian Sun
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, 2021 El potencial impacto de los proyectos sobre la grulla común (Grus grus) durante la fase de explotación, considerado en el EsIA como moderado, es uno de los aspectos más destacados y que por ello ha sido objeto de solicitud de un análisis más pormenorizado por parte de la Subdirección General de Evaluación Ambiental (enero 2021).
openaire +3 more sources
Simulated annealing algorithm optimized GRU neural network for urban rainfall-inundation prediction
Journal of Hydroinformatics, 2023 In the context of global climate change and the continuous development of urban areas, rainfall-inundation modeling is a common approach that provides critical support for the protection and early warning of urban waterlogging protection.
Ying Yan +3 more
doaj +1 more source
Combined Wind Power Prediction Method Based on CNN-LSTM&GRU with Adaptive Weights
Zhongguo dianli, 2022 Accurate wind power prediction can improve the safety and reliability of grid operation. To further enhance the accuracy of short-term wind power prediction, this paper proposes a CNN-LSTM&GRU multi-model combined prediction method considering the ...
Rui JIA +5 more
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LSTM based Ensemble Network to enhance the learning of long-term dependencies in chatbot
International Journal for Simulation and Multidisciplinary Design Optimization, 2020 A chatbot is a software that can reproduce a discussion portraying a specific dimension of articulation among people and machines utilizing Natural Human Language.
Patil Shruti +3 more
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Hanging Drop Aggregation Assay of Breast Cancer Cells
Bio-Protocol, 2015 Hanging drop assay can be used to investigate cell-cell cohesion and cell-substratum adhesion through generation of 3D spheroids under physiological conditions. It also can be used to elucidate the role of cell-cell or cell-ECM interactions in specifying
Yong Teng
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Machine learning approach for confirmation of COVID-19 cases: positive, negative, death and release
Iberoamerican Journal of Medicine, 2020 Introduction: Corona Virus Infectious Disease (COVID-19) is the infectious disease. The COVID-19 disease came to earth in early 2019. It is expanding exponentially throughout the world and affected an enormous number of human beings starting from the ...
Shawni Dutta, Samir Kumar Bandyopadhyay
doaj +1 more source
Sensors, 2020 Smart agricultural sensing has enabled great advantages in practical applications recently, making it one of the most important and valuable systems.
Xue-Bo Jin +5 more
doaj +1 more source