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物联网学报 (2026)
Scopus
ISSN 2096-3750 · China InfoCom Media Group · 1.122 artikel di indeks
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Artikel Jurnal
Millimeter SAR super high resolution 3D imaging based on the Sparse constraint and clean operation
Millimeter-wave Synthetic Aperture Radar (SAR) capable of three-dimensional (3D) imaging, achieved through two-dimensional scanning, has become a significant research direction in radar signal processing. However, 3D reconstruction performance is often limited by the transmitted signal bandwidth…
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Artikel Jurnal
Federated Learning with Data Heterogeneous Adaptation under Consistent Representation
Federated Learning (FL, Federated Learning) is a distributed learning paradigm that enables collaborative training of deep learning models without sharing raw data. In traditional FL methods, the heterogeneity of local data distributions across clients causes feature shift and label shift, leading…
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Artikel Jurnal
A Survey on Data Security and Privacy Protection for Large Models
Large models are undergoing continuous technological breakthroughs and widespread adoption, with data serving as the foundation throughout their entire lifecycle. However, this pervasive reliance on data exposes such models to significant security and privacy risks and vulnerabilities, making…
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Artikel Jurnal
Research on Task Offloading Optimization Scheme Based on MADRL for Maritime IoT
To address the issues of limited network coverage and weak computing capabilities in maritime environments, a task offloading scheme in the space-air-ground-sea integrated network scenario was introduced. Considering factors such as the offloading success rate of computational tasks, energy…
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Artikel Jurnal
A Method for Extracting Suspect Relationship in Healthcare Insurance Fraud Supervision Based on Large Language Models
Healthcare insurance fraud is becoming increasingly serious worldwide, posing significant threats to both the economy and the healthcare system. Compared to the widely studied prescription stage, the drug collection stage in the resale of returned drugs is the most covert and challenging key link…
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Artikel Jurnal
Research on Denial of Service Attack Protection for Roadside Units
Existing research indicates that roadside units (RSUs) in vehicle-to-everything (V2X) are vulnerable to denial of service (DoS) attacks. However, due to the limited communication range of RSUs, the specific harm of these attacks remains unclear, resulting in a lack of effective protection schemes…
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Artikel Jurnal
A Survey on Machine Learning-Based Attack Detection in the Internet of Vehicles
Internet of Vehicles (IoV) attack detection has become an important component of IoV security protection. Due to the complexity of IoV systems, traditional security measures are increasingly unable to meet the growing and complex security demands. With the rapid development of machine learning…
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Artikel Jurnal
Secure transmission scheme for RIS enabled bi-staticISAC system based on statistical CSI
Considering the issues of communication and sensing securities for the reconfigurable intelligent surface (RIS) enabled integrated sensing and communication system, a joint design for the transmit covariance matrix and the reflection matrix of the RIS is proposed to maximize the ergodic secrecy…
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Artikel Jurnal
Precoding design for integrated sensing and communication in cell-free massive MIMO based on multiple reflection points
Integrated sensing and communication (ISAC) achieves promising applications in target localization and environment sensing by sharing spectrum, hardware and software resources. Cell-free massive multiple-input multiple-output (CF-mMIMO) can suppress inter-cell interference and improve spectral…
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Artikel Jurnal
Load optimization strategy for low earth orbit satellite communication systems based on critical node analysis
In low Earth orbit (LEO) satellite networks, the influence of satellite orbital parameters and the distribution of ground stations can lead to link congestion during large-scale, parallel cross-traffic transmissions, as many data flows simultaneously pass through critical nodes. This congestion may…
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Artikel Jurnal
A Multi-dimensional Energy Efficiency Scheme Based on Interference Modeling in UAV Integrated Sensing and Communication
In Unmanned Aerial Vehicle Integrated Sensing and Communication (UAV - ISAC)scenarios, the overall data transmission rate and power consumption are adversely affected by interference. To address this issue, this paper proposes a multi-dimensional energy-efficient scheme based on interference…
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Artikel Jurnal
A Lightweight Fingerprinting Localization Model based on Smartphone CSI
In recent years, deep learning technologies have been widely adopted to the Channel State Information (CSI)-based fingerprinting localization field, demonstrating reliable localization accuracy. However, deep learning-based fingerprinting localization models typically rely on multi-layered network…
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Artikel Jurnal
User Mobility-aware Joint Optimization of Dependent Task Offloading and 3D Trajectory Planning for AAN-assisted Maritime Mobile Edge Computing
To address the challenges of user mobility, task dependency, and restricted aerial trajectory planning in maritime mobile edge computing, this study proposes a user mobility-aware air-sea collaborative task offloading framework. We establish a three-tier computing architecture comprising user…
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Artikel Jurnal
Deep neural network-based dynamic mapping strategy for low earth orbit satellite channel estimation
In low-earth-orbit (LEO) satellite communication systems, addressing the poor performance of traditional channel estimation algorithms under dynamic delay variations and low signal-to-noise ratio (SNR) caused by high-speed satellite-terrestrial motion, this paper proposes a deep neural network…
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Artikel Jurnal
Deformable convolution system for the detection of workers' safety helmets using YOLOv8
The complex environment of construction sites presents a huge challenge for detecting unsafe behaviors among workers. In order to accurately identify the wear of helmets for workers in complex construction environments, and effectively reduce the incidence of safety accidents, a detection algorithm…
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Artikel Jurnal
Dynamic Region Optimization Method for CT Pulmonary Nodule Segmentation
Accurate segmentation of pulmonary nodules is a crucial prerequisite for early lung cancer screening and clinical diagnosis. However, pulmonary nodules in CT images exhibit challenges such as irregular shapes, blurred boundaries, and significant size variations (ranging from a few millimeters to…
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Artikel Jurnal
Collaborative Forest Fire Identification: A Lightweight Model-Based Approach
IoT-based environmental monitoring systems are crucial infrastructure for early forest fire warnings, playing a decisive role in preventing disaster spread. However, field-deployed terminals face limitations in communication bandwidth, computational power, and energy supply, hindering both…
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Artikel Jurnal
An Unsupervised Photovoltaic Module Anomaly Detection Scheme Based on EL Images
Electroluminescence (EL) imaging combined with feature-based supervised learning was often used for photovoltaic (PV) cell anomaly detection. However, supervised methods incurred high labeling costs and failed to detect anomaly patterns not present in the training set. Unsupervised learning was…
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Artikel Jurnal
UAV Energy-Oriented Trajectory Planning and IoT Service Quality Optimization Based on Diffusion Reinforcement Learning
To address the high-frequency heterogeneous computing task requirements generated by IoT devices, this paper proposes a Unmanned Aerial Vehicle（UAV） communication network and task offloading system based on diffusion reinforcement learning（DiffRL）.The main innovations include: (1) A diffusion…
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Artikel Jurnal
Unified waveform design for 6G low-power system
Technologies such as AIoT (ambient internet of things), LPWA (low power wide area), and LP-WUS/WUR (low power wake up signal and radio) are key enablers for low-power system design. For 6G (6th generation mobile networks) low power systems, it is necessary to design a waveform technology that…
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