Results 241 to 250 of about 173,497 (273)

Advances in oral disease models: a mini-review of developments from 2015 to 2025. [PDF]

Front Dent Med
Huang J, Le-Tran J, Kobayashi NS, Kobayashi Y, Shimizu E.   +4 more
europepmc   +1 more source

Pre-training genomic language model with variants for better modeling functional genomics. [PDF]

NPJ Artif Intell
Liu T, Zhang X, Lin J, Pinello L, Ying R, Zhao H.   +5 more
europepmc   +1 more source

AI and network biology for rational polypharmacology in signaling drug design: a review. [PDF]

NPJ Precis Oncol
Li X, Wu Z, Fang T, Li J, Li D, Zhang X, Liu L, Wang L.   +7 more
europepmc   +1 more source

On-line learning and prediction of link quality in wireless sensor networks

2014 IEEE Global Communications Conference, 2014
Communication between sensor nodes in a Wireless Sensor Network (WSN) faces energy and bandwidth constraints. The dynamic behavior over time of the wireless channels makes ephemeral the neighborhood relation between sensors. Link quality estimation is critical for many WSN applications because it drastically influences the success of transmissions.
Pascale Minet
exaly   +4 more sources

Some of the next articles are maybe not open access.

Related searches:

Data-driven link quality prediction using link features

ACM Transactions on Sensor Networks, 2014
As an integral part of reliable communication in wireless networks, effective link estimation is essential for routing protocols. However, due to the dynamic nature of wireless channels, accurate link quality estimation remains a challenging task. In this article, we propose 4C, a novel link estimator that applies link quality prediction along with ...
Alberto E Cerpa
exaly   +2 more sources

Link quality prediction in mesh networks

Computer Communications, 2008
Wireless self-organizing networks such as mesh networks strive hard to get rid of mobility and radio propagation effects. Links - the basic elements ensuring connectivity in wireless networks - are impacted first from them. But what happens if one could mitigate these effects by forecasting the links' future states?
Karoly Farkaš, Theus Hossmann, Franck Legendre   +2 more
exaly   +2 more sources

Temporal Adaptive Link Quality Prediction with Online Learning

ACM Transactions on Sensor Networks, 2014
Link quality estimation is a fundamental component of the low-power wireless network protocols and is essential for routing protocols in Wireless Sensor Networks (WSNs). However, accurate link quality estimation remains a challenging task due to the notoriously dynamic and unpredictable wireless environment.
Alberto E Cerpa
exaly   +2 more sources

Wavelet Neural Network Based Link Quality Prediction for Fluctuating Low Power Wireless Links

2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS), 2021
Low power wireless links are prone to fluctuate when the channel environment changes. In order to reduce the impact of link fluctuations on data transmission, it is necessary to predict the link quality quickly and accurately and make dynamic adjustments according to prediction results.
Ｗei Liu, Yu Xia, Xu Ming
exaly   +2 more sources