Forecasting DTN Performance under Heterogeneous Mobility
Abstract?Opportunistic or Delay Tolerant Networks (DTNs) may be used to enable communication in case of failure or lack of. Cognitive Networks With In-Band Full-Duplex Radios ... - SciSpace
Abstract?This paper aims to balance performance and cost in a two-hop wireless cooperative communication network where. 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. Artificial intelligence for resource allocation in multi-tenant edge ...
Wang, and R. Zhang, ?Missing tag identification in cots rfid systems: Bridging the gap between theory and practice,? IEEE TMC, 2018. Multi-beam Transmissions for Blockage Resilience and Reliability in ...
I hereby declare that this thesis represents my own work which has been done after registra- tion for the degree of PhD at Institut ... Curiculum Vitae - Serveur de Pages Professionnelles Individuelles
Budget total : 120 K?. Résultats principaux : une th`ese de doctorat en cours (2020), une publication ([C4]). Rôle : co-responsable scientifique pour l'ENS Lyon ... A Survey of Indoor Localization Systems in Multi-Floor Environments
16.5h (CM, TD et TP). M2 SIR (UCBL). Réseaux Avancés. 36h (CM, TD et TP). M1 ... ? IEEE TMC - Transactions on Mobile Computing. ? Elsevier AMM - Applied ... Federated Learning-Based In-Network Traffic Analysis on IoT Edge
Here, TDD = TLC ?TED ?Td and VC is the speed of light, with Td being the delay introduced by the attacker, including processing and transmission time, at the ... Cognitive Networks with In-band Full-duplex Radios: Jamming ...
IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING, VOL. 11, NO. 1, FEBRUARY 2025. 3. Generative AI for Secure Physical Layer. Communications: A ... Multi-channel Broadcast in Asymmetric Duty Cycling Wireless Body ...
Huang,. ?Adaptive asynchronous federated learning in resource-constrained edge computing,? IEEE TMC, vol. 22, no. 2, pp. 674?690, 2023. 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. dRTI: Directional Radio Tomographic Imaging
The aim of the TD mode is to make IBFD radios more cognitive to jamming. The nodes' optimal defense strategy that guides them when to hop and which operational ... Efficient Urban Transportation using Localized Vehicular Coordination
Abstract?We formulate and study a broadcast problem arising in multi-channel duty cycling wireless body area networks. (WBANs), where the sink needs to ... Reinforced Imitative Graph Learning for Mobile User Profiling
IEEE Transactions on Knowledge and Data Engineering, 2020. Pengzhan Guo, Zeyang Ye, and Keli Xiao. A weighted aggregating sgd for scalable ... Optimizing Query Processing for Data-Intensive Computation
Termes manquants : Investigating the Effect of Traffic Sampling on Machine Learning ...
IEEEtmc Bandit Methods for Network Optimization: Safety, Exploration ... - DiVA
| Afficher les résultats avec : TeethPass: Dental Occlusion-based User Authentication via In-ear ...
ABSTRACT. Radio tomographic imaging (RTI) enables device free local- isation of people and objects in many challenging environ- ments and situations. 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 ... Multi-Element Optical Wireless Modules for Mobile Networking and ...
The TD-based strategy can force the reinforced agent to learn such confused knowledge by sampling related data samples in order to improve the user mobility ... Tracking the evolution of social emotions with topic models - SciSpace
... (td) to infer one missing value, where t is the number of trees, d is the average height of the tree and n is the number of non-missing values in training.
