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Artificial intelligence

Assessment of lymph node area coverage with total marrow irradiation and implementation of total marrow and lymphoid irradiation using automated deep learning-based segmentation

Hyeon Seok Choi, Hyun-Cheol Kang, [ ... ], Bum-Sup Jang

Joint congestion and contention avoidance in a scalable QoS-aware opportunistic routing in wireless ad-hoc networks

Ali Parsa, Neda Moghim, Sasan Haghani

DarwinGSE: Towards better image retrieval systems for intellectual property datasets

João António, Jorge Valente, [ ... ], Sandra Jardim

Fabric tearing performance state perception and classification driven by multi-source data

Jianmin Huang, Qingchun Jiao, [ ... ], Dong Yue

Micro-targeting consumers to reduce consumptive externalities

Tamara L. Sheldon, J. R. DeShazo, Bronwyn Lewis Friscia

An improved mountain gazelle optimizer based on chaotic map and spiral disturbance for medical feature selection

Ying Li, Yanyu Geng, Huankun Sheng

Predicting leaf nitrogen content in wolfberry trees by hyperspectral transformation and machine learning for precision agriculture

Yongmei Li, Hao Wang, Hongli Zhao, Ligen Zhang

Can using a pre-trained deep learning model as the feature extractor in the bag-of-deep-visual-words model always improve image classification accuracy?

Ye Xu, Xin Zhang, Chongpeng Huang, Xiaorong Qiu

Identification of the selected soil bacteria genera based on their geometric and dispersion features

Aleksandra Konopka, Ryszard Kozera, [ ... ], Anna Lisek

Deep feature engineering for accurate sperm morphology classification using CBAM-enhanced ResNet50

Şafak Kılıç

AD-GCN: A novel graph convolutional network integrating multi-omics data for enhanced Alzheimer’s disease diagnosis

Zilu Li, Qingyun Li, [ ... ], Yangfan Guo

Can we use lower extremity joint moments predicted by the artificial intelligence model during walking in patients with cerebral palsy in the clinical gait analysis?

Firooz Salami, Mustafa Erkam Ozates, Yunus Ziya Arslan, Sebastian Immanuel Wolf

Machine-learning-based identification of patients with IgA nephropathy using a computerized medical billing database

Ryoya Tsunoda, Keitaro Kume, [ ... ], Kunihiro Yamagata

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