Results 11 to 20 of about 276,034 (269)
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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GRU-based multi-scenario gait authentication for smartphones
网络与信息安全学报, 2022 At present, most of the gait-based smartphone authentication researches focus on a single controlled scenario without considering the impact of multi-scenario changes on the authentication accuracy.The movement direction of the smartphone and the user ...
Qi JIANG, Ru FENG, Ruijie ZHANG, Jinhua WANG, Ting CHEN, Fushan WEI
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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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Diseño de una herramienta para la detección de fallos en sistemas multirrotores
Tecnología en Marcha, 2021 Los vehículos no tripulados (UAV) con multirrotores, cuentan con un sistema de control que se enfoca principalmente en buscar la estabilidad del vehículo durante el vuelo, sin embargo, no le permite detectar o prever cuando se presenta un fallo, y muchas
Dilan Andrey Loría-Quesada
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Forecasting Cryptocurrency Prices Using LSTM, GRU, and Bi-Directional LSTM: A Deep Learning Approach
Fractal and Fractional, 2023 Highly accurate cryptocurrency price predictions are of paramount interest to investors and researchers. However, owing to the nonlinearity of the cryptocurrency market, it is difficult to assess the distinct nature of time-series data, resulting in ...
Phumudzo Lloyd Seabe +2 more
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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
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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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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
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MedEdPORTAL, 2015 This is a lecture/large-group session with a breakout small-group case discussion. This session was created as an introduction to the biomechanics of the human musculoskeletal system for first-year medical students.
Brett Szymik, Jennifer Stowe
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Sunspot Number Prediction Using Gated Recurrent Unit (GRU) Algorithm
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2021 Sunspot is an area on photosphere layer which is dark-colored. Sunspot is very important to be researched because sunspot is affected by sunspot numbers, which present the level of solar activity. This research was conducted to make prediction on sunspot
Unix Izyah Arfianti +4 more
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