Chongchong Qi

Orcid: 0000-0001-5189-1614

According to our database1, Chongchong Qi authored at least 19 papers between 2018 and 2026.

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Bibliography

2026
An encoder-only transformer model for predicting soil temperature from time series data.
Appl. Soft Comput., 2026

Cross-Sample Augmented Test-Time Adaptation for Personalized Intraoperative Hypotension Prediction.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
MultiEYE: Dataset and Benchmark for OCT-Enhanced Retinal Disease Recognition From Fundus Images.
IEEE Trans. Medical Imaging, April, 2025

Probabilistic hybrid machine learning models for predicting shear strength of flanged squat reinforced concrete walls.
Expert Syst. Appl., 2025

Exploiting Multitask Deep Learning to Identify Multiple Heavy Metal Contamination at Large Scales.
Adv. Intell. Syst., 2025

2024
Rapid estimation of soil Mn content by machine learning and soil spectra in large-scale.
Ecol. Informatics, 2024

Classification of arsenic contamination in soil across the EU by vis-NIR spectroscopy and machine learning.
Int. J. Appl. Earth Obs. Geoinformation, 2024

2023
Optimization of neural network parameters in improvement of particulate matter concentration prediction of open-pit mining.
Appl. Soft Comput., November, 2023

2022
Improved Permeability Prediction of Porous Media by Feature Selection and Machine Learning Methods Comparison.
J. Comput. Civ. Eng., 2022

2021
Permeability prediction of porous media using a combination of computational fluid dynamics and hybrid machine learning methods.
Eng. Comput., 2021

2020
Metaheuristic Optimization Algorithms Hybridized With Artificial Intelligence Model for Soil Temperature Prediction: Novel Model.
IEEE Access, 2020

2019
Meteorological data mining and hybrid data-intelligence models for reference evaporation simulation: A case study in Iraq.
Comput. Electron. Agric., 2019

Distribution Characteristics of Fragments Size and Optimization of Blasting Parameters Under Blasting Impact Load in Open-Pit Mine.
IEEE Access, 2019

FIST-Toy: A Benchmark Dataset for Toy Component Classification.
Proceedings of the 2019 IEEE International Conference on Real-time Computing and Robotics, 2019

2018
Back-Analysis Method for Stope Displacements Using Gradient-Boosted Regression Tree and Firefly Algorithm.
J. Comput. Civ. Eng., 2018

Comparative Study of Hybrid Artificial Intelligence Approaches for Predicting Hangingwall Stability.
J. Comput. Civ. Eng., 2018

Slope stability prediction using integrated metaheuristic and machine learning approaches: A comparative study.
Comput. Ind. Eng., 2018

A hybrid method for improved stability prediction in construction projects: A case study of stope hangingwall stability.
Appl. Soft Comput., 2018

Evolutionary Random Forest Algorithms for Predicting the Maximum Failure Depth of Open Stope Hangingwalls.
IEEE Access, 2018


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