Machine learning applications for chloride ingress prediction in concrete: insights from recent literature

Machine learning applications for chloride ingress prediction in concrete: insights from recent literature

Chloride corrosion significantly impacts the durability of reinforced concrete (RC) structures. Traditional evaluation methods are time-consuming and expensive. Machine Learning (ML) offers a promising alternative, providing efficient and accurate predictions. This review explores recent ML advancem...

Full description

Saved in:

Bibliographic Details
Main Authors:	Quynh-Chau Truong, Anh-Thu Nguyen Vu
Format:	Article
Language:	English
Published:	The University of Danang 2024-11-01
Series:	Tạp chí Khoa học và Công nghệ
Subjects:	short-term prediction energy consumption deep learning convolutional neural network metaheuristic optimization time-series deep learning machine learning
Online Access:	https://jst-ud.vn/jst-ud/article/view/9545
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Short-term prediction of regional energy consumption by metaheuristic optimized deep learning models
by: Ngoc-Quang Nguyen, et al.
Published: (2024-11-01)

Experimental Study on Long Short-term Memory Networks for Identifying P-wave Primary Phase
by: Tianzhe WANG, et al.
Published: (2025-03-01)

Smart grid forecasting method based on data preprocessing and Bi-LSTM
by: LI Yan, et al.
Published: (2025-06-01)

Energy consumption prediction using modified deep CNN-Bi LSTM with attention mechanism
by: Adel Binbusayyis, et al.
Published: (2025-01-01)

Deep Learning for Time-Series Forecasting With Exogenous Variables in Energy Consumption: A Performance and Interpretability Analysis
by: Ava Mohammadi, et al.
Published: (2025-01-01)

Predicting Quality of Multimedia Experience Using Electrocardiogram and Respiration Signals
by: Sowmya Vijayakumar, et al.
Published: (2025-01-01)

Improving the criteria of electricity consumptionforecasting in petrochemical industrial units based ondeep learning
by: Ehsan Tavakoli Garmaserh, et al.
Published: (2025-06-01)

Short and Medium-Term Power Load Anomaly Detection Method Based on Convolutional Neural Network and EL-DCC
by: Zhipeng Li, et al.
Published: (2025-01-01)

Hybrid CNN and RNN Model for Histopathological Sub-Image Classification in Breast Cancer Analysis Using Self-Learning
by: Alaa Hussein Abdulaal, et al.
Published: (2025-05-01)

Chiller power consumption forecasting for commercial building based on hybrid convolution neural networks-long short-term memory model with barnacles mating optimizer
by: Mohd Herwan Sulaiman, et al.
Published: (2025-07-01)

Diabetes diagnosis using a hybrid CNN LSTM MLP ensemble
by: Yanmin Fan
Published: (2025-07-01)

Deep Learning Framework for Oil Shale Pyrolysis State Recognition Using Bionic Electronic Nose
by: Yuping Yuan, et al.
Published: (2025-07-01)

A Hybrid Convolutional–Transformer Approach for Accurate Electroencephalography (EEG)-Based Parkinson’s Disease Detection
by: Chayut Bunterngchit, et al.
Published: (2025-05-01)

Sentiment analysis of pilgrims using CNN-LSTM deep learning approach
by: Aisha Alasmari, et al.
Published: (2024-12-01)

Accelerating Energy Forecasting with Data Dimensionality Reduction in a Residential Environment
by: Rafael Gonçalves, et al.
Published: (2025-03-01)

Mutation-Based White Box Testing of Deep Neural Networks
by: Gokhan Cetiner, et al.
Published: (2024-01-01)

Medium-Term Minimum Demand Forecasting Based on the Parallel LSTM-MLP Model
by: Dosung Kim, et al.
Published: (2024-01-01)

Reconstruction of concrete morphology using deep learning
by: Ondřej Šperl, et al.
Published: (2024-11-01)

Flooded area detection and mapping from Sentinel-1 imagery. Complementary approaches and comparative performance evaluation
by: Andrei Toma, et al.
Published: (2024-12-01)

EOST-LSTM: Long Short-Term Memory Model Combined with Attention Module and Full-Dimensional Dynamic Convolution Module
by: Guangxin He, et al.
Published: (2025-03-01)

IT Parkinson’s Disease Diagnostics Based on the Freezing of Gait Analysis Using Long Short Term Memory Neural Network
by: U. A. Vishniakou, et al.
Published: (2024-06-01)

Wind Power Prediction Method Based on Long Short-term Memory Neural Network
by: Xiangjun LI, et al.
Published: (2019-10-01)

Enhancing Smart Grids for Sustainable Energy Transition and Emission Reduction with Advanced Forecasting Techniques
by: Farah Rania, Farou Brahim, Kouahla Zineddine and Seridi Hamid
Published: (2024-12-01)

Abnormal heart sound recognition using SVM and LSTM models in real-time mode
by: Moy’awiah A. Al-Shannaq, et al.
Published: (2025-03-01)

Lightweight Fire Detection in Tunnel Environments
by: Shakhnoza Muksimova, et al.
Published: (2025-03-01)

Deep learning for network security: an Attention-CNN-LSTM model for accurate intrusion detection
by: Abdullah Mujawib Alashjaee
Published: (2025-07-01)

Deep Learning Framework for Predicting Transonic Wing Buffet Loads Due to Structural Eigenmode-Based Deformations
by: Rebecca Zahn, et al.
Published: (2025-05-01)

Data Augmentation and Deep Learning Methods for Pressure Prediction in Ignition Process of Solid Rocket Motors
by: Huixin Yang, et al.
Published: (2024-12-01)

A Hybrid Method Combining Variational Mode Decomposition and Deep Neural Networks for Predicting PM2.5 Concentration in China
by: Senlin Li, et al.
Published: (2025-01-01)

An optimized deep learning based hybrid model for prediction of daily average global solar irradiance using CNN SLSTM architecture
by: Yuvaraj Mariappan, et al.
Published: (2025-03-01)

Deep Learning-Based Infrared Image Segmentation for Aircraft Honeycomb Water Ingress Detection
by: Hang Fei, et al.
Published: (2024-11-01)

Metaheuristics in automated machine learning: Strategies for optimization
by: Francesco Zito, et al.
Published: (2025-06-01)

Short-Term Load Forecasting Based on Complementary Ensemble Empirical Mode Decomposition and Long Short-Term Memory
by: Huiru ZHAO, et al.
Published: (2020-06-01)

Ultra-short-term prediction of spatio-temporal wind speed based on a hybrid deep learning model
by: Zixuan Chen, et al.
Published: (2025-06-01)

Assessing the effectiveness of long short-term memory and artificial neural network in predicting daily ozone concentrations in Liaocheng City
by: Qingchun Guo, et al.
Published: (2025-02-01)

Development of Robot Feature for Stunting Analysis Using Long-Short Term Memory (LSTM) Algorithm
by: Muhammad Rahadian Abdurrahman, et al.
Published: (2024-10-01)

A Novel Framework for Solar Irradiance Prediction Integrating Signal Decomposition With Hybrid Time-Series Models
by: Keng-Hsi Lin, et al.
Published: (2025-01-01)

Editorial: Data-driven approaches for efficient smart grid systems
by: Jinran Wu, et al.
Published: (2025-01-01)

Meta-transformer: leveraging metaheuristic algorithms for agricultural commodity price forecasting
by: G. H. Harish Nayak, et al.
Published: (2025-05-01)

Detection and identification of non-technical loss based on electricity consumption curve and deep learning
by: WANG Yunjing, et al.
Published: (2025-06-01)