المؤلفون: Sakorn Mekruksavanich, Anuchit Jitpattanakul

المصدر: Computers; Volume 12; Issue 7; Pages: 141

مصطلحات موضوعية: human activity recognition, inertial sensor, stretch sensor, low-power wearable device, deep residual learning network

وصف الملف: application/pdf

Relation: https://dx.doi.org/10.3390/computers12070141

الاتاحة: https://doi.org/10.3390/computers12070141

المؤلفون: Lamia H. Shehab, Omar M. Fahmy, Safa M. Gasser, Mohamed S. El-Mahallawy

المصدر: Journal of King Saud University: Engineering Sciences, Vol 33, Iss 6, Pp 404-412 (2021)

مصطلحات موضوعية: Brain tumor segmentation, Magnetic Resonance Imaging (MRI), Deep Neural Networks (DNN), Deep Residual Learning Network (ResNet), Engineering (General). Civil engineering (General), TA1-2040

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S1018363920302506; https://doaj.org/toc/1018-3639

URL الوصول: https://doaj.org/article/c0a132bcea4a4be596c9b0cf069decf1

المؤلفون: Zhichang Zhang, Tong Zhou, Yu Zhang, Yali Pang

المصدر: BMC Medical Informatics and Decision Making, Vol 19, Iss S2, Pp 171-177 (2019)

مصطلحات موضوعية: Chinese electronic medical record, Entity relation extraction, Deep residual learning network, Attention mechanism, Computer applications to medicine. Medical informatics, R858-859.7

وصف الملف: electronic resource

Relation: http://link.springer.com/article/10.1186/s12911-019-0769-0; https://doaj.org/toc/1472-6947

URL الوصول: https://doaj.org/article/13c5f886e5344f32ba010576ce2166ef