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Time Hopping: An Efficient Technique for Reliable Coexistence of TSCH-Based IoT Networks
Time Hopping: An Efficient Technique for Reliable Coexistence of TSCH-Based IoT Networks
A deep learning approach to predict inter-omics interactions in multi-layer networks
A deep learning approach to predict inter-omics interactions in multi-layer networks
Improving Network Performance and Coverage Using Contract-Based Incentivized V2V Communications
Enhancement of Hydroxide Conduction by Incorporation of Metal-Organic Frameworks into a Semi-Interpenetrating Network
Enhancement of Hydroxide Conduction by Incorporation of Metal-Organic Frameworks into a Semi-Interpenetrating Network
Convergence Analysis of Max-Consensus Algorithm in Probabilistic Communication Networks with Bernoulli Dropouts
Learning speed of supervised neural networks as similarity measurement in unsupervised cluster analysis
The role of travel demand and network centrality on the connectivity and resilience of an urban street system
Distributed Learning for Energy-Efficient Resource Management in Self-Organizing Heterogeneous Networks
A multi-objective LMP pricing strategy in distribution networks based on MOGA algorithm
Prediction of Mechanical Properties of TWIP Steels using Artificial Neural Network Modeling
A neural-network potential through charge equilibration for WS2 From clusters to sheets
Dynamic QoS-Aware Resource Assignment in Cloud-Based Content-Delivery Networks