About
Contact & Profiles
A5045041375
Research Areas
- Stock Market Forecasting Methods
- Advanced Image and Video Retrieval Techniques
- Data Stream Mining Techniques
- Forecasting Techniques and Applications
- Market Dynamics and Volatility
- Human Mobility and Location-Based Analysis
- Time Series Analysis and Forecasting
- Advanced Text Analysis Techniques
- Geographic Information Systems Studies
- Energy Load and Power Forecasting
University of Engineering and Technology Taxila
2019-2020
10.1007/s12652-020-01839-w
article
EN
Journal of Ambient Intelligence and Humanized Computing
2020-03-14
10.1007/s00500-019-04347-y
article
EN
Soft Computing
2019-09-17
Accurately predicting future trends in stock market is essential for investors because it increases the chances of a successful investment market. However, making precise predictions challenging due to volatility and influence external factors from news social media. Although various machine deep learning techniques have been used predict markets, none them evaluated short medium-term forecasting. Therefore, we propose time series prediction method called Long Short-Term Memory (LSTM)...
10.21015/vtse.v12i4.1949
article
EN
VFAST Transactions on Software Engineering
2024-12-09
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