Zobrazeno 1 - 10
of 8 184
pro vyhledávání: '"Nguyen-Dinh A"'
Industrial networks are undergoing rapid transformation driven by the convergence of emerging technologies that are revolutionizing conventional workflows, enhancing operational efficiency, and fundamentally redefining the industrial landscape across
Externí odkaz:
http://arxiv.org/abs/2412.00209
In recent years, deepfakes (DFs) have been utilized for malicious purposes, such as individual impersonation, misinformation spreading, and artists' style imitation, raising questions about ethical and security concerns. However, existing surveys hav
Externí odkaz:
http://arxiv.org/abs/2411.17911
Electric load forecasting is essential for power management and stability in smart grids. This is mainly achieved via advanced metering infrastructure, where smart meters (SMs) are used to record household energy consumption. Traditional machine lear
Externí odkaz:
http://arxiv.org/abs/2411.10619
Droplet-based microfluidic devices have substantial promise as cost-effective alternatives to current assessment tools in biological research. Moreover, machine learning models that leverage tabular data, including input design parameters and their c
Externí odkaz:
http://arxiv.org/abs/2411.06691
This paper proposes a novel intelligent human activity recognition (HAR) framework based on a new design of Federated Split Learning (FSL) with Differential Privacy (DP) over edge networks. Our FSL-DP framework leverages both accelerometer and gyrosc
Externí odkaz:
http://arxiv.org/abs/2411.06263
Autor:
Quy, Vu Khanh, Quy, Nguyen Minh, Hoai, Tran Thi, Shaon, Shaba, Uddin, Md Raihan, Nguyen, Tien, Nguyen, Dinh C., Kaushik, Aryan, Chatzimisios, Periklis
6G wireless networks are expected to provide seamless and data-based connections that cover space-air-ground and underwater networks. As a core partition of future 6G networks, Space-Air-Ground Integrated Networks (SAGIN) have been envisioned to prov
Externí odkaz:
http://arxiv.org/abs/2411.01312
Smart metering networks are increasingly susceptible to cyber threats, where false data injection (FDI) appears as a critical attack. Data-driven-based machine learning (ML) methods have shown immense benefits in detecting FDI attacks via data learni
Externí odkaz:
http://arxiv.org/abs/2411.01313
This paper studies a new latency optimization problem in unmanned aerial vehicles (UAVs)-enabled federated learning (FL) with integrated sensing and communication. In this setup, distributed UAVs participate in model training using sensed data and co
Externí odkaz:
http://arxiv.org/abs/2411.08918
Optical wireless power transfer (OWPT) is a technology that wirelessly transmit light energy from an optical transmitter to an optical receiver, usually a solar cell. In order to achieve the highest transmission efficiency, the solar cell receiver sh
Externí odkaz:
http://arxiv.org/abs/2410.14096
From the observation of a diffusion path $(X_t)_{t\in [0,T]}$ on a compact connected $d$-dimensional manifold $M$ without boundary, we consider the problem of estimating the stationary measure $\mu$ of the process. Wang and Zhu (2023) showed that for
Externí odkaz:
http://arxiv.org/abs/2410.11777