Results 71 to 80 of about 12,068 (224)

Ethereum phishing detection based on graph neural networks

IET Blockchain
With the development of blockchain, cryptocurrencies are also showing a boom. However, due to the decentralized and anonymous nature of blockchain, cryptocurrencies have inevitably become a hotbed for fraudulent crimes.
Ao Xiong, Yuanzheng Tong, Chengling Jiang, Shaoyong Guo, Sujie Shao, Jing Huang, Wei Wang, Baozhen Qi   +7 more
doaj   +1 more source

A Systematic Review and Taxonomy of Fall Detection in Geriatric Care: Current State, Challenges, and Applications

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 3, September 2026.
Overview of fall‐detection approaches and technologies in geriatric care. ABSTRACT This systematic review provides a critical examination of fall detection (FD) technologies in geriatric care, analyzing both technological innovations and implementation challenges across diverse healthcare environments.
Hamid Ali, Ji Zhang, Xiaohui Tao, Raj Gururajan, Xujuan Zhou, Yuquan Gan, Josh Jia‐Ching Ying   +6 more
wiley   +1 more source

Decentralized Application on Ethereum Blockchain [PDF]

, 2023
Bakalářská práce se zabývá možností využití blokchainové technologie pro řešení konkrétního problému, v podobě decentralizované aplikace na Ethereum blockchainu s funkcí systému pro online správu prodeje vstupenek.
Lovecký, Petr
core  

Intraday Functional PCA Forecasting of Cryptocurrency Returns

Journal of Forecasting, Volume 45, Issue 5, Page 2186-2212, August 2026.
ABSTRACT We study the functional PCA (FPCA) forecasting method in application to functions of intraday returns on Bitcoin. We show that improved interval forecasts of future return functions are obtained when the conditional heteroscedasticity of return functions is taken into account.
Joann Jasiak, Cheng Zhong
wiley   +1 more source

Ethereum Conflicts Graphed

2025 IEEE International Conference on Blockchain and Cryptocurrency (ICBC)
A slightly shorter version To appear in the Proceedings of the IEEE International Conference on Blockchain and Cryptocurrency, ICBC ...
Dvir Biton, Roy Friedman 0001, Yaron Hay
openaire   +2 more sources

PERAMALAN DURASI ETHEREUM MENGGUNAKAN MODEL AUTOREGRESSIVE CONDITIONAL DURATION

E-Jurnal Matematika
Forecasting is the process of estimating future events using past data. Financial time series forecasting often prioritizes stock price variables. Apart from the stock price variable, inter-transaction time or duration is also an important variable to ...
I WAYAN SUMARJAYA, RENOVAR JOJOR DELIMA SIMANULLANG, RATNA SARI WIDIASTUTI   +2 more
doaj   +1 more source

Miners' Reward Elasticity and Stability of Competing Proof‐of‐Work Cryptocurrencies

International Economic Review, Volume 67, Issue 3, Page 957-976, August 2026.
ABSTRACT Proof‐of‐Work cryptocurrencies employ miners to sustain the system through algorithmic reward adjustments. We develop a stochastic model of the multicurrency mining and identify conditions for stable transaction speeds. Bitcoin's algorithm requires hash supply elasticity <$<$1 for stability, while ASERT remains stable for any elasticity and ...
Kohei Kawaguchi, Junpei Komiyama, Shunya Noda   +2 more
wiley   +1 more source

Confidential Wrapped Ethereum

CoRR
Transparency is one of the key benefits of public blockchains. However, the public visibility of transactions potentially compromises users' privacy. The fundamental challenge is to balance the intrinsic benefits of blockchain openness with the vital need for individual confidentiality.
Artem Chystiakov, Mariia Zhvanko
openaire   +2 more sources

Coalition Formation for Sustainable Blockchain Governance: Insights From the Hedera Case

Information Systems Journal, Volume 36, Issue 4, Page 485-499, July 2026.
ABSTRACT Sustainable governance is essential for blockchain networks to achieve widespread adoption and deliver long‐term business value. Prior blockchain initiatives indicate that inadequate governance structures often lead to limited adoption or eventual project failure, underscoring the importance of decentralised governance for building resilient ...
Christophe Viguerie, Horst Treiblmaier
wiley   +1 more source

“What Could Possibly Go Wrong?”: A Consumer‐Centric Approach to Exploring Vulnerability and Algorithmic Bias in AI‐Driven Financial Planning

FINANCIAL PLANNING REVIEW, Volume 9, Issue 2, June 2026.
ABSTRACT With the accessibility of generative AI, the uptake of consumers using it for their financial planning queries and needs has exponentially increased. However, algorithmic bias in AI‐driven financial planning poses significant challenges, particularly to consumers experiencing vulnerabilities as it can cause further marginalization by the ...
Bomikazi Zeka, Raechel Johns
wiley   +1 more source