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Titlebook: Artificial Intelligence Applications and Innovations; 20th IFIP WG 12.5 In Ilias Maglogiannis,Lazaros Iliadis,Antonios Papale Conference pr

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Multivariate Time-Series Methods with Uncertainty Estimation for Correcting Physics-Based Model: Comalysis and Modeling (HAM), this approach combines a physics-based model, solving multi-phase flow equations for cuttings transport, with advanced machine learning models to enhance predictive accuracy in hole cleaning operations. Previous research demonstrated two HAM methodologies (an intrusive and
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Artificial Intelligence Modeling of the Efficiency of a Biological Treatment Installationing is a process that separates contaminating substances from wastewater. It results in the reuse of water and in the reduction of the environmental pollution [.]. Both the Chemical Oxygen Demand (COD) and the Biological Oxygen Demand (BOD) are used as measures of the strength and the effectiveness
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Carbon-Aware Machine Learning: A Case Study on Cellular Traffic Forecasting with Spiking Neural Netwodern environments. However, the increasing amount of data collected by respective base stations makes their processing and analysis challenging. Machine learning (ML) algorithms have emerged as a powerful tool that can handle the large volumes of data and provide operators with accurate predictions
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Emerging Research Topics Identification Using Temporal Graph Neural Networksearchers and decision makers in both governmental and industrial spheres. Traditional approaches to this challenge have predominantly relied on retrospective analyses, limiting their applicability in real world scenarios where proactive foresight is paramount. This study addresses this constraint th
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Explanations for Core Decompositionied to different problems and various scientific fields ranging from Social Network Analysis (community detection) to Epidemiology and Disease Spread (identification of core groups where transmission rates are high). This study delves into the causal explanations underlying core decomposition, with
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Artificial Intelligence Applications and Innovations978-3-031-63219-8Series ISSN 1868-4238 Series E-ISSN 1868-422X
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