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A new stock price forecasting method using active deep learning approach

AlKhatib, Khalid; Khazaleh, Huthaifa; Alkhazaleh, Hamzah Ali - In: Journal of Open Innovation: Technology, Market, and … 8 (2022) 2, pp. 1-23

the loss result is also considered. Finally, the study included six deep learning models, MLP, GRU, LSTM, Bi-LSTM, CNN …, and CNN-LSTM, to predict the adjusted closing price of the stocks. The six variables used (High, Low, Open, Volume, HiLo …

Persistent link: https://www.econbiz.de/10014329596

Historical calibration of SVJD models with deep learning

Fičura, Milan; Witzany, Jiří - 2023

-Diffusion (SVJD) models to historical asset return time series. 1-Dimensional Convolutional Neural Networks (1D-CNN) are used for that …

Persistent link: https://www.econbiz.de/10014494935

A novel deep learning model based on convolutional neural networks for employee churn prediction

Pekel Ozmen, Ebru; Ozcan, Tuncay - In: Journal of forecasting 41 (2022) 3, pp. 539-550

Persistent link: https://www.econbiz.de/10013166159

Deep learning-based distributed denial-of-service detection

Mennour, Hanene; Mostefai, Sihem - In: International journal of networking and virtual … 26 (2022) 1/2, pp. 80-103

Persistent link: https://www.econbiz.de/10013256822

Real time noisy dataset implementation of optical character identification using CNN

Anand, R.; Shanthi, T.; Sabeenian, R. S.; Veni, S. - In: International journal of intelligent enterprise 7 (2020) 1/2/3, pp. 67-80

Persistent link: https://www.econbiz.de/10012177248

A new stock price forecasting method using active deep learning approach

AlKhatib, Khalid; Khazaleh, Huthaifa; Alkhazaleh, Hamzah Ali - In: Journal of open innovation : technology, market, and … 8 (2022) 2, pp. 1-23

Persistent link: https://www.econbiz.de/10013266369

A novel hybrid approach for rice plant disease detection based on stacked autoencoder and convolutional neural network model

Agrawal, Manoj; Agrawal, Shweta - In: International journal of services, economics and management 14 (2023) 3, pp. 321-344

Persistent link: https://www.econbiz.de/10014311696

A deep learning model framework for diabetic retinopathy detection

Padmapriya, M.; Pasupathy, S.; Sumathi, R.; Punitha, V. - In: International journal of networking and virtual … 27 (2022) 2, pp. 107-124

Persistent link: https://www.econbiz.de/10014314585

A comparative review of sentimental analysis using machine learning and deep learning approaches

Nagelli, Archana; Saleena, B. - In: Journal of information & knowledge management : JIKM 22 (2023) 3, pp. 1-32

Persistent link: https://www.econbiz.de/10014388595

Historical calibration of SVJD models with deep learning

Fičura, Milan; Witzany, Jiří - 2023

-Diffusion (SVJD) models to historical asset return time series. 1-Dimensional Convolutional Neural Networks (1D-CNN) are used for that …

Persistent link: https://www.econbiz.de/10014444774