Development and validation of machine learning models for predicting no. 253 lymph node metastasis in left-sided colorectal cancer using clinical and CT-based radiomic features by Hongwei Zhang, Kexin Wang, Shurong Liu, Guowei Chen, Yong Jiang, Yingchao Wu, Xiaocong Pang, Xiaoying Wang, Junling Zhang, Xin Wang

“…The CT model utilized largest lymph node average CT value, short-axis diameter and long-axis diameter. …”
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RANSAC based robust localization algorithm for visual sensor network by Bo ZHANG, Hai-yong LUO, Ji-wei LIU, Fang ZHAO

“…Due to node failures or environmental changes,observed data on the target will be error in visual sensor network,so the least squares based multi-vision localization algorithm won’t be accurate.A centralized RANSAC based robust localization method was proposed,which can remove the error data and improve the positioning accuracy.Furthermore,to address this issue,energy imbalance of network nodes in centralized RANSAC where all computing load is executed in one single node,a robust localization algorithm based on distributed RANSAC was also proposed,which can distribute a large number of iterative calculations into each node averagely to ensure the network balance on calculation and energy without affecting the robustness.Finally,through comparing experiments on no-RANSAC,cen-RANSAC and dis-RANSAC,it’s verified that this algorithm can obtain robust and good positioning results in a predetermined probability,and the time complexity was analyzed via experiment.…”
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Enhancing WSN Lifespan Based on Efficient-Energy Management Approach for Cluster Head Selection in IoT Application by B. Mehra, A. Datar

“…The proposed method modifies the basic LEACH protocol and incorporates the factors of residual energy of the network, number of neighbor nodes, average energy of the network, and threshold distance between the nodes and base station. …”
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Clustering with dynamic route adjustment and fuzzy based update cycle in wireless sensor networks with sink mobility by Asif Khan, Mohammad Amjad

“…Next Update cycle is decided with the help of residual energy of nodes, average sensed data rate and the distance of cluster head from the mobile sink. …”
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