NetworkselectionENTROPYmethodMADMmethodsFuzzyIn recent years,the great interest in Wireless Body Area Networks(WBANs)has been aroused significantly due to the advancement in wireless communications.In wireless communication,all WBAN nodes that monitor the human body's vital functions transfer information to...
NetworkselectionEntropymethodMADMmethodsFuzzyIn recent years,the great interest in Wireless Body Area Networks(WBANs)has been aroused significantly due to the advancement in wireless communications.In wireless communication,all WBAN nodes that monitor the human body'...
A system and method for inviting gift selection on a network-enabled interface are disclosed. A particular embodiment includes: enabling a gifter to create, by use of a network-connectable data processor, a gift page including, a plurality of gift item options sourced from a plurality of gift ...
A system and method for inviting gift selection on a network-enabled interface are disclosed. A particular embodiment includes: enabling a gifter to create, by use of a network-connectable data processor, a gift page including, a plurality of gift item options sourced from a plurality of gift ...
A path selection scheme for detecting malicious behavior based on deep reinforcement learning in SDN/NFV-Enabled networkDeep reinforcement learning (DRL)Network function virtualization (NFV)Service function chain (SFC)Software defined network (SDN)
Metaheuristic feature selection with deep learning enabled cascaded recurrent neural network for anomaly detection in Industrial Internet of Things environmentSecurityIndustrial Internet of ThingsMetaheuristicsAnomaly detectionDeep learningFeature selectionIndustrial Internet of Things (IIoT) acts as essential part ...
Correction to: a diagnosis system by U-net and deep neural network enabled with optimal feature selection for liver tumor detection using CT imagesdoi:10.1007/s11042-022-13848-2Multimedia Tools and Applications -Rela, MunipraveenaDepartment of Electronics and Communication Engineering, Jawaharlal Nehru...
Optimal path selection in graded network using Artificial Bee Colony algorithm with agent enabled Information. 12th IEEE International Conference on Hybrid Intelligent Systems, Pune, 4-7 December (2012).Kavitha Sooda, T. R. Gopalakrishnan Nair. Optimal path selection in Graded network using Artificial...
The privacy, flexibility and efficiency of network slice selection are realized by adopting the idea of privacy-aware one-to-many matching which has been used in anonymous attribute-based encryption. Based on comprehensive security and performance analysis, FANS is shown to be secure and efficient....
In particular, the proposed approach leverages the concept of Double Deep Reinforcement Learning to attain an optimal network selection policy. Eventually, the proposed approach corroborated by the rigorous simulations demonstrated a substantial improvement in the overall system utility. Subsequently, the ...