Results 151 to 160 of about 20,682 (248)

Cryptocurrency trading and its relationship with other addictions among healthcare professionals in Türkiye. [PDF]

PeerJ
Mumcu E, Kılıç OHT, Başer A.
europepmc   +1 more source

Explainable AI With Imbalanced Learning Strategies for Blockchain Transaction Fraud Detection

Engineering Reports, Volume 8, Issue 1, January 2026.
Research methodology pipeline for blockchain fraud detection. ABSTRACT Blockchain networks now support billions of dollars in daily transactions, making reliable and transparent fraud detection essential for maintaining user trust and financial stability.
Ahmed Abbas Jasim Al‐Hchaimi, M. A. Khalifa, Walid El‐Shafai   +2 more
wiley   +1 more source

Hybrid ANFIS-MPA and FFNN-MPA Models for Bitcoin Price Forecasting. [PDF]

Biomimetics (Basel)
Baştemur Kaya C, Kaya E, Sıramkaya E.
europepmc   +1 more source

A Dynamic Network for Cryptocurrencies

, 2018
Li Guo, Yubo Tao, Wolfgang Karl Härdle
openalex   +1 more source

THE ROLE OF CRYPTOCURRENCY IN THE DIGITAL ECONOMY

Lіudmyla Dobrynina
openalex   +2 more sources

Deep Learning for Bond Yield Forecasting: The LSTM‐LagLasso

International Journal of Finance &Economics, Volume 31, Issue 1, Page 1269-1283, January 2026.
ABSTRACT We present long short‐term memory (LSTM)‐LagLasso, a novel explainable deep learning approach applied to bond yield forecasting. Our method involves feature selection from a large universe of potential features and forecasts bond yields using dynamic LSTM networks.
Manuel Nunes, Enrico Gerding, Frank McGroarty, Mahesan Niranjan, Georgios Sermpinis   +4 more
wiley   +1 more source

Information Theory Quantifiers in Cryptocurrency Time Series Analysis. [PDF]

Entropy (Basel)
Suriano M, Caram LF, Caiafa C, Merlino HD, Rosso OA.   +4 more
europepmc   +1 more source

TECHNICAL AND LEGAL DIVERSITY IN THE MANIFESTATIONS OF CRYPTOCURRENCY COMPLIANCE CHARACTERISTICS: AN INTERDISCIPLINARY STUDY

, 2023
Mykola D. Vasylenko, V.M. Slatvinska
openalex   +1 more source

Major Conundrums and Possible Solutions in DeFi Insurance

International Journal of Finance &Economics, Volume 31, Issue 1, Page 489-501, January 2026.
ABSTRACT This paper empirically explores the early development of insurance projects in the decentralised finance (DeFi) industry, which is based on disruptive technologies like blockchain and smart contracts. A brief history of DeFi is narrated, stressing four risks of DeFi (volatility risk, cyberattack risk, liquidity risk, and regulation risk) and ...
Peng Zhou, Ying Zhang
wiley   +1 more source

Development of a cryptocurrency price prediction model: leveraging GRU and LSTM for Bitcoin, Litecoin and Ethereum. [PDF]

PeerJ Comput Sci
Kaur R, Uppal M, Gupta D, Juneja S, Arafat SY, Rashid J, Kim J, Alroobaea R.   +7 more
europepmc   +1 more source