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Deep learning

K-M LLM-pro: Physics-guided cross-modal adaptation for fine-grained spatiotemporal trajectory classification

Chenglong Ge, Jing Zhang, [ ... ], Linyu Wang

New bridging eco-acoustic indices inspired by deep neural networks for fine-grained bird vocalization recognition across diurnal cycles

Lianglian Gu, Wei Li, [ ... ], Ziqian Wang

A contrastive adversarial encoder for multi-omics data integration

Ma Yinghua, Ahmad Khan, [ ... ], Iftikhar Ahmed Khan

Deep memory for deep threats: A novel architecture combining GRUs and deep learning models for IDS

Abdulmajeed Alqhatani, Sajid Mehmood, [ ... ], Fatima Asiri

Music genre classification with modified residual learning and dual neural network

Mohsin Ashraf, Fazeel Abid, [ ... ], Tunc Asuroglu

A deep learning AI model for determining the relationship between X-Ray detectors and patient positioning in chest radiography

Bo Jiang, Junjiao Hu, [ ... ], Shan Jiang

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

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