Prediction of concrete and FRC properties at high temperature using machine and deep learning: a review of recent advances and future perspectives
Concrete structures when exposed to elevated temperature significantly decline their
original properties. High temperatures substantially affect the concrete physical and …
original properties. High temperatures substantially affect the concrete physical and …
Machine learning for perovskite solar cells and component materials: key technologies and prospects
Data‐driven epoch, the development of machine learning (ML) in materials and device
design is an irreversible trend. Its ability and efficiency to handle nonlinear and game …
design is an irreversible trend. Its ability and efficiency to handle nonlinear and game …
Explainable diabetes classification using hybrid Bayesian-optimized TabNet architecture
LP Joseph, EA Joseph, R Prasad - Computers in Biology and Medicine, 2022 - Elsevier
Diabetes is a deadly chronic disease that occurs when the pancreas is not able to produce
ample insulin or when the body cannot use insulin effectively. If undetected, it may lead to a …
ample insulin or when the body cannot use insulin effectively. If undetected, it may lead to a …
Novel binary logistic regression model based on feature transformation of XGBoost for type 2 Diabetes Mellitus prediction in healthcare systems
Y Wu, Q Zhang, Y Hu, K Sun-Woo, X Zhang… - Future Generation …, 2022 - Elsevier
The rapidly increasing incidence of Diabetes Mellitus (DM) has shown that DM is a serious
disease that endangered human life in all parts of the world. The late stage of Type-II DM …
disease that endangered human life in all parts of the world. The late stage of Type-II DM …
[HTML][HTML] Deep metabolome: Applications of deep learning in metabolomics
In the past few years, deep learning has been successfully applied to various omics data.
However, the applications of deep learning in metabolomics are still relatively low compared …
However, the applications of deep learning in metabolomics are still relatively low compared …
Edge computing data optimization for smart quality management: Industry 5.0 perspective
In the last decade, researchers have focused on digital technologies within Industry 4.0.
However, it seems the Industry 4.0 hype did not fulfil industry expectations due to many …
However, it seems the Industry 4.0 hype did not fulfil industry expectations due to many …
On the relevance of data science for flight delay research: a systematic review
L Carvalho, A Sternberg, L Maia Goncalves… - Transport …, 2021 - Taylor & Francis
Flight delays are a significant problem for society as they evenly impair airlines, transport
companies, air traffic controllers, facility managers, and passengers. Studying prior flight …
companies, air traffic controllers, facility managers, and passengers. Studying prior flight …
Online shopping cart abandonment: A review and research agenda
The COVID‐19 pandemic has put online shopping at the forefront of retailing; however, the
issue related to shopping cart abandonment remains an eternal nemesis of e‐retailers. To …
issue related to shopping cart abandonment remains an eternal nemesis of e‐retailers. To …
[HTML][HTML] Transforming smart homes via P2P energy trading using robust forecasting and scheduling framework
With the advent of smart grids, advanced information infrastructures, advanced metering
facilities, bidirectional exchange of information, and battery storage home area networks …
facilities, bidirectional exchange of information, and battery storage home area networks …
IoT-enabled flood severity prediction via ensemble machine learning models
River flooding is a natural phenomenon that can have a devastating effect on human life and
economic losses. There have been various approaches in studying river flooding; however …
economic losses. There have been various approaches in studying river flooding; however …