Cryptocurrency trading: a comprehensive survey

F Fang, C Ventre, M Basios, L Kanthan… - Financial Innovation, 2022 - Springer
In recent years, the tendency of the number of financial institutions to include
cryptocurrencies in their portfolios has accelerated. Cryptocurrencies are the first pure digital …

Role of social networks and machine learning techniques in cryptocurrency price prediction: a survey

AY Nouira, M Bouchakwa, M Amara - Social Network Analysis and Mining, 2024 - Springer
One of the most important and useful methods for analyzing extremely complex financial
data, particularly cryptocurrencies, is machine learning. Due to the enormous volumes of …

An XAI method for convolutional neural networks in self-driving cars

HS Kim, I Joe - PLoS one, 2022 - journals.plos.org
eXplainable Artificial Intelligence (XAI) is a new trend of machine learning. Machine learning
models are used to predict or decide something, and they derive output based on a large …

Modeling of necking area reduction of carbon steel in hydrogen environment using machine learning approach

N Ahmed, M Aldaw, R Ahmed, C Teodoriu - Engineering Failure Analysis, 2024 - Elsevier
Low carbon and low alloy steel pipes, prevalent in natural gas transmission systems due to
their affordability, weldability, and strength, are confronted with significant challenges such …

A roadmap of explainable artificial intelligence: Explain to whom, when, what and how?

Z Wang, C Huang, X Yao - ACM Transactions on Autonomous and …, 2024 - dl.acm.org
Explainable artificial intelligence (XAI) has gained significant attention, especially in AI-
powered autonomous and adaptive systems (AASs). However, a discernible disconnect …

Assessing the relative importance of vitamin D deficiency in cardiovascular health

M Rubab, JD Kelleher - Frontiers in Cardiovascular Medicine, 2024 - frontiersin.org
Previous research has suggested a potential link between vitamin D (VD) deficiency and
adverse cardiovascular health outcomes, although the findings have been inconsistent. This …

Images in space and time: real big data in healthcare

E Badr - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
Medical imaging diagnosis is mostly subjective, as it depends on medical experts. Hence,
the service provided is limited by expert opinion variations and image complexity as well …

[PDF][PDF] Novel Machine Learning Pipelines with Applications to Finance

F Fang, M Polukarov - 2023 - kclpure.kcl.ac.uk
Abstract Machine learning is an artificial intelligence technique used to automatically infer
rules from data, and use these rules to perform some tasks on unknown data. This technique …