
Radio Frequency Fingerprinting on the Edge - GENESYS Lab
This index covers all technical items ? papers, correspondence, reviews, etc. ? that appeared in this periodical during 2014, and items from previous years. 
Modeling Spatio-Temporal Mobility across Data Silos via ...
Abstract?This work investigates the problem of efficiently learning discriminative low-dimensional (LD) representations. 
Towards Low-cost Sign Language Gesture Recognition Leveraging ...
Abstract?Design of an efficient medium access control proto- col is critical for proper functioning of a distributed cognitive. 
Location Privacy Protection in Vehicle-Based Spatial Crowdsourcing ...
Abstract?Deep learning methods have been very successful at radio frequency fingerprinting tasks, predicting the identity of transmitting devices with high ... 
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Abstract?Spatio-temporal mobility modeling plays a pivotal role in the advancement of mobile computing. Nowadays, data is. 
Compact Scheduling for Task Graph Oriented Mobile Crowdsourcing
Liu,. ?Vehicle-assisted service caching for task offloading in vehicular edge computing,? IEEE Trans. Mobile Comput., early access, Feb. 25, ... 
The Impact of Network Size and Mobility on ... - ECE Research
Abstract?Different from traditional gestures, sign language gestures involve a lot of finger-level gestures without wrist or arm movements. 
On Fast and Reliable Missing Event Detection Protocol for Multi ...
Kim, ''Reconfigurable intelligent surface-aided cognitive NOMA networks: Performance analysis and deep learning evaluation,'' IEEE Trans. 
A Spatio-Temporal Fine-Granular User Traffic Prediction System for ...
Differentially private location protection for worker datasets in spatial crowdsourcing. IEEE TMC, pages 934?949, 2017. [9] Y. Tong, J. She, B. Ding, L ... 
Madras Section Report - IEEE Region 10
?© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, ... 
Mobility-aware Seamless Service Migration and Resource ...
A candidate approach to solving these performance- related problems is to apply machine learning (ML), a type of artificial intelligence, where ?algorithms can ... 
In-network Computation for Large-scale Federated Learning over ...
Abstract?With the proliferation of increasingly powerful mobile devices and wireless networks, mobile crowdsourcing has emerged as a novel service paradigm. 
Two-Phase Multicast DRX Scheduling for 3GPP LTE-Advanced ...
10.1109/TMC.2015.2398420, IEEE Transactions on Mobile Computing. 1. The Impact of Network Size and Mobility on. Information Delivery in Cognitive Radio ... 
On the Design of MAC Protocols for Multi-Packet ... - ArTS
This index covers all technical items ? papers, correspondence, reviews, etc. ? that appeared in this periodical during 2014, and items from previous years. 
Consortium Blockchain-Based Spectrum Trading for Network Slicing ...
Abstract?While traffic modeling and prediction are at the heart of providing high-quality telecommunication services in cellular. 
Browse Popular Top Downloads - CISL
in IEEE Transactions on Dependable and Secure Computing, doi: 10.1109/TDSC.2024.3354462. Page 2. 1. Poison-Tolerant Collaborative Filtering against. Poisoning ...