Results 51 to 60 of about 17,373 (269)
A Global Clock Skew Estimation Scheme for Hierarchical Wireless Sensor Networks
Time synchronization is extremely important for wireless sensor networks (WSNs). For largescale WSNs, hierarchical clock synchronization, which can effectively save energy by reducing communication overhead, has become an attractive approach in practical
Heng Wang, Lun Shao, Min Li, Baoguo Wang
doaj +1 more source
Tool Wear Prediction Based on a Multi-Scale Convolutional Neural Network with Attention Fusion
Compared with traditional machine learning algorithms, the convolutional neural network (CNN) has an excellent automatic feature learning ability and can complete the nonlinear representation from original data input to output by itself. However, the CNN
Qingqing Huang +4 more
doaj +1 more source
The role and implications of mammalian cellular circadian entrainment
At their most fundamental level, mammalian circadian rhythms occur inside every individual cell. To tell the correct time, cells must align (or ‘entrain’) their circadian rhythm to the external environment. In this review, we highlight how cells entrain to the major circadian cues of light, feeding and temperature, and the implications this has for our
Priya Crosby
wiley +1 more source
A Lightweight XMPP Publish/Subscribe Scheme for Resource-Constrained IoT Devices
The development of wireless technology like Internet Protocol version 6 over Low power Wireless Personal Area Networks, which defines IP communication for resource-constrained networks enables communication on the lower layers, while the diverging and ...
Heng Wang +3 more
doaj +1 more source
Molecular bases of circadian magnesium rhythms across eukaryotes
Circadian rhythms in intracellular [Mg2+] exist across eukaryotic kingdoms. Central roles for Mg2+ in metabolism suggest that Mg2+ rhythms could regulate daily cellular energy and metabolism. In this Perspective paper, we propose that ancestral prokaryotic transport proteins could be responsible for mediating Mg2+ rhythms and posit a feedback model ...
Helen K. Feord, Gerben van Ooijen
wiley +1 more source
Self-attention-based graph transformation learning for anomaly detection in multivariate time series
Multivariate time series anomaly detection has widely applications in many fields such as finance, power, and industry. Recently, Graph Neural Network (GNN) have achieved great success in this task due to their powerful ability of modeling multivariate ...
Qiushi Wang +4 more
doaj +1 more source
Sparsity-control ternary weight networks
version 1 of SCA; accepted by journal "Neural Networks"; the final version could be a little different from this ...
Xiang Deng, Zhongfei Zhang
openaire +4 more sources
This perspective highlights emerging insights into how the circadian transcription factor CLOCK:BMAL1 regulates chromatin architecture, cooperates with other transcription factors, and coordinates enhancer dynamics. We propose an updated framework for how circadian transcription factors operate within dynamic and multifactorial chromatin landscapes ...
Xinyu Y. Nie, Jerome S. Menet
wiley +1 more source
Access Controlled Temporal Networks
We define Access-Controlled Temporal Networks (ACTNs) as an extension of Conditional Simple Temporal Networks with Uncertainty (CSTNUs). CSTNUs are able to handle features such as contingent durations and conditional constraints, and have thus been used to model the temporal constraints of workflows underlying business processes.
COMBI, Carlo +3 more
openaire +5 more sources
Exact controllability of complex networks [PDF]
Controlling complex networks is of paramount importance in science and engineering. Despite the recent development of structural-controllability theory, we continue to lack a framework to control undirected complex networks, especially given link weights.
Yuan, Zhengzhong +4 more
openaire +3 more sources

