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This comprehensive review elucidates the latest advancements in CO₂ capture, emphasizing two predominant methodologies: absorption and adsorption. We delve into the mechanisms underlying each process ... Machine Learning to speed up Computational Fluid Dynamics engineering .... Computational fluid dynamics (CFD) is a valuable tool in designing built environments, enhancing comfort, health, energy efficiency, and safety in both indoor and outdoor applications. Furthermore, nevertheless, the time required for CFD computations still needs to be reduced for engineering studies. Recent advances in machine learning (ML) techniques offer a promising avenue for developing fast-running ...
High performance wide-bandgap perovskite solar cells based on bulk and .... Wide bandgap perovskite solar cells (PSCs) typically serve as top cells in tandem photovoltaic devices. However, their open-circuit voltage (VOC) and … Guide for authors - Engineering Structures - ISSN 0141-0296 .... Furthermore, engineering Structures provides a forum for a broad blend of scientific and technical papers to reflect the evolving needs of the structural engineering and structural mechanics communities.
Particularly welcome are contributions dealing with new developments or innovative applications of structural and mechanics principles and digital technologies for the analysis and design of engineering ... Semantic enrichment of BIM models for construction cost estimation in .... Accurate construction cost estimation is vital for ensuring profitable project execution for both owners and contractors. However, traditional methods often rely on disparate engineering data, leading to inaccuracies and inconsistencies among stakeholders. To address this, this paper introduces an automated system that semantically enriches Building Information Modeling (BIM) models by ...
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The basic workflow of these processing steps is shown in Fig. In this paper, we explore various methods for automating data processing tasks for deep learning and big data applications. Building on this, in the context of this survey, we broadly divide data processing tasks into three main subtasks: preprocessing, data augmentation and feature engineering (i.e., feature processing) functions. AI literacy and its implications for prompt engineering strategies.
Artificial intelligence technologies are rapidly advancing.
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