Search Result "Multi-feature stock data"
Time Series Features Extraction and Forecast from Multi-feature Stocks with Hybrid Deep Neural Networks
Journal: Recent Advances in Computer Science and Communications
Volume: 14 Issue: 8 Year: 2021 Page: 2662-2672
Author(s): Ye Xu,Xun Yuan
Modeling Chaotic Behavior of Dhaka Stock Market Index Values Using the Neuro-fuzzy Model
Journal: Recent Patents on Computer Science
Volume: 5 Issue: 1 Year: 2012 Page: 72-77
Author(s): Shipra Banik, Farah Habib Chanchary, Rifat Ara Rouf, AFM Khodadad Khan
Data Computation: Awareness, Architecture and Applications
Ebook: Artificial Intelligence and Natural Algorithms
Volume: 1 Year: 2022
Author(s):
Doi: 10.2174/9789815036091122010003
An Optimized System for Sentiment Analysis using Twitter Data
Ebook: Challenges and Opportunities for Deep Learning Applications in Industry 4.0
Volume: 1 Year: 2022
Author(s):
Doi: 10.2174/9789815036060122010010
Blockchain Framework for Data Storage and Security
Ebook: Recent Advances in IoT and Blockchain Technology
Volume: 4 Year: 2022
Author(s):
Doi: 10.2174/9789815051605122040003
Phenotype Data: A Neglected Resource in Biomedical Research?
Journal: Current Bioinformatics
Volume: 1 Issue: 3 Year: 2006 Page: 347-358
Author(s): Philip Groth, Bertram Weiss
Use of Remote Sensing Techniques for Robust Detection and Estimations of Soil Organic Carbon: A Review
Journal: Recent Progress in Space Technology (Discontinued)
Volume: 3 Issue: 2 Year: 2013 Page: 83-102
Author(s): Vijay S. Bhagat
Enhancing the Human-computer Interaction through the Application of Artificial Intelligence, Machine Learning, and Data Mining
Ebook: Human-Computer Interaction and Beyond: Advances Towards Smart and Interconnected Environments Part II
Volume: 1 Year: 2022
Author(s):
Doi: 10.2174/9789815036398122010011
PLUXter: Rapid Discovery of Metal-Organic Framework Structures Using PCA and HCA of High Throughput Synchrotron Powder Diffraction Data
Journal: Combinatorial Chemistry & High Throughput Screening
Volume: 14 Issue: 1 Year: 2011 Page: 28-35
Author(s): Deborah Lau, David G. Hay, Matthew R. Hill, Benjamin W. Muir, Scott A. Furman, Danielle F. Kennedy