Rongxin Zhu
Orcid: 0000-0001-5133-0868
According to our database1,
Rongxin Zhu
authored at least 19 papers
between 2021 and 2024.
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Bibliography
2024
An Efficient Secure and Adaptive Routing Protocol Based on GMM-HMM-LSTM for Internet of Underwater Things.
IEEE Internet Things J., May, 2024
IEEE Commun. Surv. Tutorials, 2024
A robust and machine learning-driven identification scheme for malicious nodes in UASNs.
Comput. Commun., 2024
Delay-aware and reliable medium access control protocols for UWSNs: Features, protocols, and classification.
Comput. Networks, 2024
A reliable cluster-based opportunistic routing protocol for underwater wireless sensor networks.
Comput. Networks, 2024
An AUV-Assisted Data Collection Approach for UASNs Based on Hybrid Clustering and Matrix Completion.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2024
A Traffic-Aware Trust Model Based on Edge Computing for Underwater Wireless Sensor Networks.
Proceedings of the IEEE International Conference on Communications, 2024
2023
DESLR: Energy-efficient and secure layered routing based on channel-aware trust model for UASNs.
Comput. Networks, October, 2023
A trust management-based secure routing protocol with AUV-aided path repairing for Underwater Acoustic Sensor Networks.
Ad Hoc Networks, October, 2023
Neural Networks, August, 2023
Towards a Trusted Channel Energy-Aware Routing Algorithm for Underwater Sensor Networks.
Proceedings of the 19th ACM International Symposium on QoS and Security for Wireless and Mobile Networks, 2023
T-SAPR: An Efficient Q-Learning Trust-based Secure Routing Protocol for Underwater Acoustic Sensor Networks.
Proceedings of the 19th ACM International Symposium on QoS and Security for Wireless and Mobile Networks, 2023
Proceedings of the IEEE Global Communications Conference, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
Predicting Treatment Selections for Individuals with Major Depressive Disorder According to Functional Connectivity Subgroups.
Brain Connect., 2022
2021
Proceedings of the Multimedia Technology and Enhanced Learning, 2021
An Optimized Seven-Layer Convolutional Neural Network with Data Augmentation for Classification of Chinese Fingerspelling Sign Language.
Proceedings of the Multimedia Technology and Enhanced Learning, 2021