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Cryptocurrency trading: a comprehensive survey
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 …
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 …
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 …
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
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 …
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 …
powered autonomous and adaptive systems (AASs). However, a discernible disconnect …
Assessing the relative importance of vitamin D deficiency in cardiovascular health
Previous research has suggested a potential link between vitamin D (VD) deficiency and
adverse cardiovascular health outcomes, although the findings have been inconsistent. This …
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 …
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 …
rules from data, and use these rules to perform some tasks on unknown data. This technique …