Intelligent power monitoring of building equipment based on Internet of Things technology
L Yu, B Nazir, Y Wang - Computer Communications, 2020 - Elsevier
With the development of intelligent buildings, problems such as difficulties in system
integration, poor scalability, and difficulties in coordinated operation across systems have …
integration, poor scalability, and difficulties in coordinated operation across systems have …
PySpark-based optimization of microwave image reconstruction algorithm for head imaging big data on high-performance computing and Google cloud platform
For processing large-scale medical imaging data, adopting high-performance computing
and cloud-based resources are getting attention rapidly. Due to its low–cost and non …
and cloud-based resources are getting attention rapidly. Due to its low–cost and non …
Deep Learning-Based Model for Non-invasive Hemoglobin Estimation via Body Parts Images: A Retrospective Analysis and a Prospective Emergency Department …
ET Lin, SC Lu, AS Liu, CH Ko, CH Huang… - Journal of Imaging …, 2024 - Springer
Anemia is a significant global health issue, affecting over a billion people worldwide,
according to the World Health Organization. Generally, the gold standard for diagnosing …
according to the World Health Organization. Generally, the gold standard for diagnosing …
Learning a hierarchical global attention for image classification
K Cao, J Gao, K Choi, L Duan - Future Internet, 2020 - mdpi.com
To classify the image material on the internet, the deep learning methodology, especially
deep neural network, is the most optimal and costliest method of all computer vision …
deep neural network, is the most optimal and costliest method of all computer vision …
[PDF][PDF] Susruta: Artificial Intelligence and Bayesian Knowledge Network in Health Care–Smartphone Apps for diagnosis and differentiation of anemias with higher …
BD Analytics, S Yadav - pdfs.semanticscholar.org
It estimated that 24.8% of the global population was anaemic between 1993 and 2005.
According to WHO Global Nutrition Report 2017, 51% of Indian women in reproductive age …
According to WHO Global Nutrition Report 2017, 51% of Indian women in reproductive age …