Results 61 to 70 of about 3,270,134 (279)

Deep belief network-based link quality prediction for wireless sensor network

open access: yesTongxin xuebao, 2017
After analyzing the existing link quality prediction models,a link quality prediction model for wireless sensor network was proposed,which was based on deep belief network.Support vector classification was employed to estimate link quality,so as to get ...
Lin-lan LIU   +3 more
doaj   +2 more sources

A Method for Improving the Accuracy of Link Prediction Algorithms

open access: yesComplexity, 2021
Link prediction is a key tool for studying the structure and evolution mechanism of complex networks. Recommending new friend relationships through accurate link prediction is one of the important factors in the evolution, development, and popularization
Jie Li, Xiyang Peng, Jian Wang, Na Zhao
doaj   +1 more source

Link Prediction in Stagewise Graphs

open access: yesIEEE Transactions on Knowledge and Data Engineering
A stagewise graph has distinct edge types that represent the different stages. Two nodes can be connected by an edge of the current stage only if an edge of the preceding one is already connecting them. Stagewise graphs can represent many kinds of interactions.
Pieter Dewulf   +2 more
openaire   +2 more sources

Enteropathogenic E. coli shows delayed attachment and host response in human jejunum organoid‐derived monolayers compared to HeLa cells

open access: yesFEBS Letters, EarlyView.
Enteropathogenic E. coli (EPEC) infects the human intestinal epithelium, resulting in severe illness and diarrhoea. In this study, we compared the infection of cancer‐derived cell lines with human organoid‐derived models of the small intestine. We observed a delayed in attachment, inflammation and cell death on primary cells, indicating that host ...
Mastura Neyazi   +5 more
wiley   +1 more source

Link prediction in co-authorship networks based on hybrid content similarity metric

open access: yes, 2017
Link prediction in online social networks is used to determine new interactions among its members which are likely to occur in the future. Link prediction in the coauthorship network has been regarded as one of the main targets in link prediction ...
Nilanjan Dey   +11 more
core   +1 more source

Link Prediction on Real and Synthetic Complex Networks [PDF]

open access: yes, 2022
Methods for topological link prediction are generally referred to as global or local. The former exploits the entire network topology, the latter adopts only the immedi- ate neighbourhood of the link to predict. Global methods are believed to be the best
Michieli, Umberto
core  

Study on AdaBoost-based link quality prediction mechanism

open access: yesTongxin xuebao, 2017
The link quality was vulnerable to the complexity environment in wireless sensor network.Obtaining link quality information in advance could reduce energy consumption of nodes.After analyzing the existing link quality prediction methods,AdaBoost-based ...
Jian SHU, Man-lan LIU, Wei ZHENG
doaj   +2 more sources

Organoids in pediatric cancer research

open access: yesFEBS Letters, EarlyView.
Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley   +1 more source

Bayesian prediction of disability insurance frequencies using economic indicators [PDF]

open access: yes, 2012
We use economic indicators to improve the prediction of the numberof incurred but not recorded disability insurance claims, assuming thatthere is a link between the number of claims and the chosen economicindicators.
Donnelly, Catherine, Wuethrich, Mario
core   +1 more source

Reevaluation of Inductive Link Prediction

open access: yes
Within this paper, we show that the evaluation protocol currently used for inductive link prediction is heavily flawed as it relies on ranking the true entity in a small set of randomly sampled negative entities. Due to the limited size of the set of negatives, a simple rule-based baseline can achieve state-of-the-art results, which simply ranks ...
Simon Ott   +2 more
openaire   +3 more sources

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