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Machine learning

Deep learning predictions on a new dataset: Natural gas production and liquid level detection

Dong Wang, Jian Lian, Chengjiang Li, Yanlei Wang

Regional PM_2.5 pollution forecasting using a hybrid model based on multi-scales feature fusion and deep learning algorithms

Yong Zhang, Wenya Zhang, Bo Wu, Weichen Yi

TIC-FusionNet: A multimodal deep learning framework with temporal decomposition and attention-based fusion for time series forecasting

Liyu Chen, Xiangwei Fan

Development of advanced progress recognition algorithms for construction monitoring

Lai Yingdong, Lin Zhijun, Ye Zhijie, Zhang Jun

Macroeconomic-aware forecasting of construction costs in developing countries: Using gated recurrent unit and long short-term memory deep learning framework

Majed Alzara, Nadeen Gihad, [ ... ], Ahmed Ehab

FAR-AM: A hybrid attention framework for fire cause classification

Heng Peng, Kun Zhu

Identifying graft incompatible rootstocks for sweet cherry through machine learning algorithms

Erol Aydın, Mehmet Ali Cengiz, Ercan Er, Hüsnü Demirsoy

An enhanced spatial-temporal graph convolution network with high order features for skeleton-based action recognition

Mohammed H. Al-Hakimi, Ibrar Ahmed, [ ... ], Rashad S. Almoqbily

Multi-task meta-initialized DQN for fast adaptation to unseen slicing tasks in O-RAN

Bosen Zeng, Xianhua Niu

Machine learning-based forecasting of air quality index under long-term environmental patterns: A comparative approach with XGBoost, LightGBM, and SVM

Sevtap Tırınk

Construction and application of machine learning models for predicting intradialytic hypotension

Pingping Wang, Ningjie Xu, [ ... ], Kedan Cai

Gait recognition using spatio-temporal representation fusion learning network with IMU-based skeleton graph and body partition strategy

Fo Hu, Qinxu Zheng, [ ... ], Hongsheng Chang

Prediction of changes in suitable habitats for tea plants in China’s four major tea-producing regions based on machine learning models

Wenqi Zhang, Lisha Yang, Yanxia Wang

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