Search Results - subject:"short-term memory"

A clinical named entity recognition model using pretrained word embedding and deep neural networks

Dash, Adyasha; Darshana, Subhashree; Yadav, Devendra Kumar - In: Decision analytics journal 10 (2024), pp. 1-10

Clinical Named Entity Recognition (NER) within Electronic Medical Records (EMRs) has seen substantial research attention. Since much clinical information resides in unstructured text, NER technology is pivotal in extracting vital patient data from such sources. The ubiquity of EMRs has fueled...

Persistent link: https://www.econbiz.de/10015101649

A long short-term memory enhanced realized conditional heteroskedasticity model

Liu, Chen; Wang, Chao; Minh-Ngoc Tran; Kohn, Robert - In: Economic modelling 142 (2025), pp. 1-10

Persistent link: https://www.econbiz.de/10015192384

Using machine learning to identify hidden constraints in vehicle routing problems

Konovalenko, Anna; Hvattum, Lars Magnus; Msakni, … - In: Computers & operations research : an international journal 179 (2025), pp. 1-10

Persistent link: https://www.econbiz.de/10015338572

Comparative study of forecasting methods to predict the energy demand for the market of Colombia

Vargas-Forero, Victor Manuel; Manotas-Duque, Diego Fernando - In: International Journal of Energy Economics and Policy : IJEEP 15 (2025) 1, pp. 65-76

Persistent link: https://www.econbiz.de/10015333827

Short-term hourly hydropower prediction : evaluating LSTM and MILP-based methods

Villeneuve, Yoan; Séguin, Sara; Chehri, Abdellah; … - 2025

Persistent link: https://www.econbiz.de/10015404003

A deep learning classification model for Persian Hafez poetry based on the poet’s era

Ruma, Jannatul Ferdous; Akter, Sharmin; Laboni, Jesrin Jahan - In: Decision analytics journal 4 (2022), pp. 1-16

highest accuracy when we used the Distributed Memory model for document embedding and Long Short-Term Memory (LSTM) model for … Bidirectional Long Short-Term Memory (Bi-LSTM) and Gated Recurrent Units (GRU) models. …

Persistent link: https://www.econbiz.de/10013448568

Comparing the Great Recession and COVID-19 using Long Short-Term Memory : a close look into agricultural commodity prices

Amin, Modhurima Dey; Badruddoza, Syed; Sarasty, Oscar - In: Applied economic perspectives and policy 46 (2024) 4, pp. 1406-1428

Persistent link: https://www.econbiz.de/10015135223

Can hybrid model improve the forecasting performance of stock price index amid COVID-19? : contextual evidence from the MEEMD-LSTM-MLP approach

Yang, Qu; Yu, Yuanyuan; Dai, Dongsheng; He, Qian; Lin, Yu - In: The North American journal of economics and finance : a … 74 (2024), pp. 1-20

Persistent link: https://www.econbiz.de/10015135677

Dynamic monitoring of financial security risks : a novel China financial risk index and an early warning system

Zhang, Wenyu - In: Economics letters 234 (2024), pp. 1-7

Persistent link: https://www.econbiz.de/10015066371

Shanghai Containerised Freight Index Forecasting Based on Deep Learning Methods: Evidence from Chinese Futures Markets

Chen, Liang; Liu, Jiankun; Pei, Rongyu; Su, Zhenqing; … - In: East Asian Economic Review (EAER) 28 (2024) 3, pp. 359-388

combines Long Short-Term Memory (LSTM) and Convolutional Neural Network (CNN) architectures. The outcomes show that the CNN …

Persistent link: https://www.econbiz.de/10015398027