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A hybrid neural network based model for blood donation forecasting
15 references·0 citing·46 second hop
A hybrid neural network based model for blood donation forecasting (2023)A hybrid neural network based model for b…Multivariate time-series blood donation/demand forecasting for resilient supply chain management during COVID-19 pandemic (2022)Multivariate time-series bloo…Inventory management in blood supply chain considering fuzzy supply/demand uncertainties and lateral transshipment (2021)Inventory management in blood…Comparison of ARIMA, ANN and LSTM for Stock Price Prediction (2020)Comparison of ARIMA, ANN and …Blood transfusion during the COVID-19 outbreak. (2020)Blood transfusion during the …AI in Healthcare: Time-Series Forecasting Using Statistical, Neural, and Ensemble Architectures (2020)AI in Healthcare: Time-Series…Evolving Deep CNN-LSTMs for Inventory Time Series Prediction (2019)Evolving Deep CNN-LSTMs for I…Forecasting the demand of the aviation industry using hybrid time series SARIMA-SVR approach (2018)Forecasting the demand of the…Reducing uncertainty in demand for blood (2016)Reducing uncertainty in deman…Online ARIMA Algorithms for Time Series Prediction (2016)Online ARIMA Algorithms for T…Blood shortages and donation in China (2016)Blood shortages and donation …Time series forecasting based on wavelet filtering (2015)Time series forecasting based…A LSTM-based method for stock returns prediction: A case study of China stock market (2015)A LSTM-based method for stock…Comparison of ARIMA and Artificial Neural Networks Models for Stock Price Prediction (2014)Comparison of ARIMA and Artif…Demand Forecasting for Blood Components Distribution of a Blood Supply Chain (2013)Demand Forecasting for Blood …A Decision-making Tool for Demand Forecasting of Blood Components (2012)A Decision-making Tool for De…Forecasting with artificial neural networks: (1998)An artificial neural network (p,d,q) model for timeseries forecasting (2009)Stock Price Prediction via Discovering Multi-Frequency Trading Patterns (2017)A systematic review of fundamental and technical analysis of stock market predictions (2019)A hybrid model integrating deep learning with investor sentiment analysis for stock price prediction (2021)Distribution of the Estimators for Autoregressive Time Series with a Unit Root (1979)The contribution of wavelets to the analysis of economic and financial data (1999)Forecasting, time series, and regression : an applied approach (2005)Crude oil price forecasting based on a novel hybrid long memory GARCH-M and wavelet analysis model (2020)Optimal selection of heterogeneous ensemble strategies of time series 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(2022)Pandemic, War, Natural Calamities, and Sustainability: Industry 4.0 Technologies to Overcome Traditional and Contemporary Supply Chain Challenges (2022)Supply chain risk management: A content analysis-based review of existing and emerging topics (2023)Ambiguity and its coping mechanisms in supply chains lessons from the Covid-19 pandemic and natural disasters (2020)Effects of the COVID-19 pandemic on supply and use of blood for transfusion (2020)Impact of COVID‐19 on blood centres in Zhejiang province China (2020)Machine Learning and Deep Learning Models for Demand Forecasting in Supply Chain Management: A Critical Review (2024)Blood transfusion utilization in hospitalized COVID ‐19 patients (2020)Potential challenges faced by blood bank services during COVID-19 pandemic and their mitigative measures: The Indian scenario (2020)COVID-19 pandemic and transfusion medicine: the worldwide challenge and its implications (2021)Prediction of Stock Price Using Statistical and Ensemble 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References

  • 2015A LSTM-based method for stock returns prediction: A case study of China stock market734 cited
  • 2014Comparison of ARIMA and Artificial Neural Networks Models for Stock Price Prediction579 cited
  • 2020AI in Healthcare: Time-Series Forecasting Using Statistical, Neural, and Ensemble Architectures204 cited
  • 2016Online ARIMA Algorithms for Time Series Prediction195 cited
  • 2018Forecasting the demand of the aviation industry using hybrid time series SARIMA-SVR approach163 cited
  • 2020Blood transfusion during the COVID-19 outbreak.105 cited
  • 2015Time series forecasting based on wavelet filtering104 cited
  • 2021Inventory management in blood supply chain considering fuzzy supply/demand uncertainties and lateral transshipment93 cited
  • 2020Comparison of ARIMA, ANN and LSTM for Stock Price Prediction77 cited
  • 2022Multivariate time-series blood donation/demand forecasting for resilient supply chain management during COVID-19 pandemic63 cited
  • 2019Evolving Deep CNN-LSTMs for Inventory Time Series Prediction59 cited
  • 2016Reducing uncertainty in demand for blood57 cited
  • 2013Demand Forecasting for Blood Components Distribution of a Blood Supply Chain35 cited
  • 2016Blood shortages and donation in China31 cited

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2012
A Decision-making Tool for Demand Forecasting of Blood Components
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