Tao Han

TL;DR: A method for conserving position confidentiality of roaming PBSs users using machine learning techniques is proposed and it is confirmed that the proposed method achieved above 90% of the position confidentiality in PBSs.

TL;DR: This study addresses the multi-objective multi-mode resource-constrained project scheduling problem with payment planning where the activities can be done through one of the possible modes and the objectives are to maximize the net present value and minimize the completion time concurrently.

TL;DR: It can be concluded that the proposed CMMA not only minimize the energy utilization of edge-computing based IoMT systems but it also uniformly distribute cluster heads in the network so to increase its network lifetime.

TL;DR: This work proposes an automatic segmentation of the lungs in CT images, using the Convolutional Neural Network (CNN) Mask R-CNN, to specialize the model for lung region mapping, combined with supervised and unsupervised machine learning methods (Bayes, Support Vectors Machine (SVM), K-means and Gaussian Mixture Models (GMMs).

TL;DR: This paper proposes a different approach to detect spammers on Twitter based on the similarities that exist among spam accounts, and results revealed that Random Forest achieved the highest accuracy, precision, recall, and F -measure.