A systematic review of deep learning applications in database query execution
B Milicevic, Z Babovic - Journal of Big Data, 2024 - Springer
Modern database management systems (DBMS), primarily designed as general-purpose
systems, face the challenging task of efficiently handling data from diverse sources for both …
systems, face the challenging task of efficiently handling data from diverse sources for both …
An assessment of large language models for OpenMP-based code parallelization: a user perspective
Large language models have sparked a lot of attention in the research community in recent
days, especially with the introduction of practical tools such as ChatGPT and Github Copilot …
days, especially with the introduction of practical tools such as ChatGPT and Github Copilot …
Advanced ANN regularization-based algorithm for prediction of the fundamental period of masonry infilled RC frames
F Đorđević, M Marinković - Journal of Big Data, 2024 - Springer
The fundamental period (T FP) of vibration is the time required for a structure to complete
one full cycle of vibration, and it is one of the main features of the structural system. It highly …
one full cycle of vibration, and it is one of the main features of the structural system. It highly …
Big Data and AI Algorithms for Sustainable Development Goals: A Topic Modeling Analysis
P Nedungadi, S Surendran, KY Tang, R Raman - IEEE Access, 2024 - ieeexplore.ieee.org
This study makes significant contributions to the field by examining the transformative role of
big data and artificial intelligence (AI) in advancing Sustainable Development Goals (SDGs) …
big data and artificial intelligence (AI) in advancing Sustainable Development Goals (SDGs) …
RockDNet: Deep Learning Approach for Lithology Classification
Analyzing rock and underground layers is known as drill core lithology. The extracted core
sample helps not only in exploring the core properties but also reveals the lithology of the …
sample helps not only in exploring the core properties but also reveals the lithology of the …
A decision-aid system for subway microenvironment health risk intervention based on backpropagation neural network and permutation feature importance method
Subway has become an important commute mode in daily life. However, subway
microenvironment poses a threat to people's health and there is growing concern about its …
microenvironment poses a threat to people's health and there is growing concern about its …
Sustainable building repair: A K-means approach to addressing fissures in ceramic brick partition walls
MJ Carretero-Ayuso, A Jiménez-Delgado… - Building and …, 2023 - Elsevier
The purpose of this work is to determine, catalogue, and quantify failures appearing in
ceramic brick partition walls after the delivery of buildings, based on claims filed by users …
ceramic brick partition walls after the delivery of buildings, based on claims filed by users …
Predictive models of embodied carbon emissions in building design phases: Machine learning approaches based on residential buildings in China
X Zhang, H Chen, J Sun, X Zhang - Building and Environment, 2024 - Elsevier
As one of the major architectural forms, residential building construction consumes
considerable resources, and it has been regarded as a crucial factor for the implementation …
considerable resources, and it has been regarded as a crucial factor for the implementation …
Artificial intelligence in civil engineering: An immersive view
NR Kapoor, A Kumar, A Kumar, A Kumar… - Artificial Intelligence …, 2024 - Elsevier
Conventionally, civil engineering is the branch mainly related to the construction of
buildings, bridges, highways, etc. Presently, the scope of civil engineering is widening, and …
buildings, bridges, highways, etc. Presently, the scope of civil engineering is widening, and …
Multimodal sleep staging network based on obstructive sleep apnea
J Fan, M Zhao, L Huang, B Tang, L Wang… - Frontiers in …, 2024 - frontiersin.org
Background Automatic sleep staging is essential for assessing sleep quality and diagnosing
sleep disorders. While previous research has achieved high classification performance …
sleep disorders. While previous research has achieved high classification performance …