Titlebook: Cognitive Internet of Medical Things for Smart Healthcare; Services and Applica Aboul Ella Hassanien,Aditya Khamparia,Adam Slowik Book 2021

意外

Nonabelian Nonrelativistic Model, the Cluster Heads (CHs) based on five input parameters namely Energy, Distance, Delay, Capacity and Queue. By the use of FC-IoMT technique, the amount of energy consumption in the IoMT system can be significantly reduced. The proposed model has undergone extensive validation and the results ensured the superior results under several measures.

semble

Self-Dual Chern-Simons Theoriesld subsequently schedule their treatment and diagnosis for their patients. In this paper, various machine learning algorithms have been implemented to predict the heart disease. 88.59% accuracy was obtained by using logistic regression with majority voting which is better than the existing techniques.

ELUC

纬线

抑制

paleolithic

Nonabelian Nonrelativistic Model,earch algorithm with genetic algorithm (IGSAGA) model is applied for filtering the features and optimal support vector machine (SVM) model is applied for classification processes. The results are validated using a benchmark BRATS dataset and the experimental outcome indicated the supremacy of the projected model.

Ceramic

Optimal SVM Based Brain Tumor MRI Image Classification in Cloud Internet of Medical Things,earch algorithm with genetic algorithm (IGSAGA) model is applied for filtering the features and optimal support vector machine (SVM) model is applied for classification processes. The results are validated using a benchmark BRATS dataset and the experimental outcome indicated the supremacy of the projected model.

BARK

SEEK

2198-4182 ications under the umbrella of the Internet of Medical Things. These applications geared towards IoMT cloud analysis, machine learning, computer vision and deep learning have enabled the evaluation of the proposed solutions. 978-3-030-55835-2978-3-030-55833-8Series ISSN 2198-4182 Series E-ISSN 2198-4190

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