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Deep learning

Advanced deep learning-based brain tumor classification using a novel customized CNN and optimized residual network

Mehwish Rasheed, Sajid Iqbal, Arfan Jaffar, Sheeraz Akram

Challenges in explaining deep learning models for data with biological variation

Lenka Tětková, Erik Schou Dreier, Robin Malm, Lars Kai Hansen

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

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

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

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

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

Multi-step ahead streamflow and uncertainty forecasting using a HyMoLAP rainfall-runoff model-based framework integrated with Bayesian neural networks in the Ouémé river basin, Benin

Sianou Ezéckiel Houénafa, Olatunji Johnson, Erick K. Ronoh, Stephen E. Moore

Optimizing hyperparameters of YOLOv10 for arson detection using advanced optimization algorithms

Ali Abbas Abbod, Matheel E. Abdulmunim, Ismail A. Mageed

CEAF: Capsule network enhanced feature fusion architecture for Chinese Named Entity Recognition

Siyu Ma, Guangzhong Liu, Yangshuyi Xu

Short-term passenger flow prediction for urban rail systems: A deep learning approach utilizing multi-source big data

Hongmeng Cui, Bingfeng Si, [ ... ], Yuanmeng Chen

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