Application of artificial intelligence in coal mine ultra-deep roadway engineering—a review

B Yu, B Wang, Y Zhang - Artificial Intelligence Review, 2024 - Springer
The deep integration of computer field and coal mining field is the only way to coal mine
intellectualization. A variety of artificial intelligence tools have been applied in open-pit and …

A new brain tumor diagnostic model: Selection of textural feature extraction algorithms and convolution neural network features with optimization algorithms

E Başaran - Computers in Biology and Medicine, 2022 - Elsevier
Brain tumors are one of the most dangerous diseases that affect human health and maybe
result in death. Detection of brain tumors can be made by using biopsy. However, this is an …

Multi-model ensemble prediction of pan evaporation based on the Copula Bayesian Model Averaging approach

A Seifi, M Ehteram, F Soroush, AT Haghighi - Engineering Applications of …, 2022 - Elsevier
Pan evaporation (E p) is an efficient and practical tool for planning and managing water
resources, understanding the water balance in hydrological processes, and developing …

A novel combined forecasting model based on neural networks, deep learning approaches, and multi-objective optimization for short-term wind speed forecasting

J Wang, Y An, Z Li, H Lu - Energy, 2022 - Elsevier
Accurate wind speed prediction has become increasingly important in wind power
generation. However, the lack of efficient data preprocessing techniques and integration …

Hybrid ANFIS-PSO algorithm for estimation of the characteristics of porous vacuum preloaded air bearings and comparison performance of the intelligent algorithm …

R Şener, MA Koç, K Ermiş - Engineering Applications of Artificial …, 2024 - Elsevier
Air bearings are commonly used in systems requiring high precision, including
semiconductor manufacturing, optical and electronic devices, and aerospace systems, and …

Post-disaster temporary shelters distribution after a large-scale disaster: An integrated model

Z Gharib, R Tavakkoli-Moghaddam, A Bozorgi-Amiri… - Buildings, 2022 - mdpi.com
This paper develops an integrated model for the distribution of post-disaster temporary
shelters after a large-scale disaster. The proposed model clusters impacted areas using an …

[HTML][HTML] Robust model for tunnel squeezing using Bayesian optimized classifiers with partially missing database

Y Bo, X Huang, Y Pan, Y Feng, P Deng, F Gao, P Liu… - Underground …, 2023 - Elsevier
Accurately predicting and estimating the squeezing and ground response to tunneling
remains challenging. Moreover, tunnel-squeezing hazards are much more likely to occur in …

Ventilation on demand in underground mines using neuro-fuzzy models: modeling and laboratory-scale experimental validation

A Ihsan, NP Widodo, J Cheng, E Wang - Engineering Applications of …, 2024 - Elsevier
Ventilation on demand (VoD) is a method applied to underground mine ventilation systems
to maintain safety while reducing fan energy consumption. VoD considers the changes in …

Optimized anfis model with hybrid metaheuristic algorithms for facial emotion recognition

M Dirik - International Journal of Fuzzy Systems, 2023 - Springer
Emotion recognition from facial images is an important and active area of research. Facial
features are widely used in computer vision for emotion interpretation, cognitive science …

Bayesian updating of model parameters for jacking force prediction using field observations

B Yu, H Shimada, T Sasaoka, A Hamanaka… - … and Underground Space …, 2024 - Elsevier
In recent years, there has been an increased resort to box-jacking as a method for
constructing underground utilities and infrastructure, as it avoids the on-street disruption in …