The Citing articles tool gives a list of articles citing the current article. The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).
Marwan Abdul Hameed Ashour, Rabab Alayham Abbas, A.P. Wibawa, A. Pranolo, R. Drezewski, L. Hernandez, A.R. Ismail, Haviluddin, A.Y. Saleh, A. Ghosh, F. Kurniawan, S. Konate and M.A.A. Abdalla E3S Web of Conferences 501 01004 (2024) https://doi.org/10.1051/e3sconf/202450101004
From Prediction to Profit: A Comprehensive Review of Cryptocurrency Trading Strategies and Price Forecasting Techniques
Advanced Technologies, Systems, and Applications VII
Amila Žunić and Adnan Dželihodžić Lecture Notes in Networks and Systems, Advanced Technologies, Systems, and Applications VII 539 412 (2023) https://doi.org/10.1007/978-3-031-17697-5_33
Smart Applications with Advanced Machine Learning and Human-Centred Problem Design
Mehmet Birhan and Ömür Tosun Engineering Cyber-Physical Systems and Critical Infrastructures, Smart Applications with Advanced Machine Learning and Human-Centred Problem Design 1 101 (2023) https://doi.org/10.1007/978-3-031-09753-9_9
Human Interaction, Emerging Technologies and Future Systems V
Marwan Abdul Hameed Ashour and Omar Mohammed Naser Alashari Lecture Notes in Networks and Systems, Human Interaction, Emerging Technologies and Future Systems V 319 922 (2022) https://doi.org/10.1007/978-3-030-85540-6_117
Application Deep Learning to Predict Crypto Currency Prices and their Relationship to Market Adequacy (Applied Research Bitcoin as an Example)
Trends in Data Engineering Methods for Intelligent Systems
Tunahan Timuçin, Hacer Bayiroğlu, Hakan Gündüz, Tuba Karagül Yildiz and Ercan Atagün Lecture Notes on Data Engineering and Communications Technologies, Trends in Data Engineering Methods for Intelligent Systems 76 256 (2021) https://doi.org/10.1007/978-3-030-79357-9_26
Cryptocurrency price prediction using traditional statistical and machine‐learning techniques: A survey
Prediction accuracy improvement for Bitcoin market prices based on symmetric volatility information using artificial neural network approach
Anwar Hasan Abdullah Othman, Salina Kassim, Romzie Bin Rosman and Nur Harena Binti Redzuan Journal of Revenue and Pricing Management 19(5) 314 (2020) https://doi.org/10.1057/s41272-020-00229-3
Advanced Studies of Financial Technologies and Cryptocurrency Markets