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ISSN: 2352-8648
CN: 50-1212/TN
p-ISSN: 2468-5925

Single-channel blind source separation empowered joint transceiver optimization for wireless communications using deep learning

To tackle the physical layer security challenges in wireless communication, this paper introduces a multi-user architecture that leverages single-channel blind source separation, centered around a Multi-source...

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Spatio-temporal features with global–local transformer model for video scene graph generation

In the field of video scene graph generation, spatio-temporal feature extraction and the long-tail effect in relationship classification are core research issues. This paper proposes extracting spatio-temporal...

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Secformer: privacy-preserving atomic-level componentized transformer-like model with MPC

The global surge in Artificial Intelligence (AI) has been triggered by the impressive performance of deep-learning models based on the Transformer architecture. However, the efficacy of such models...

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Sensing accuracy gain, unified performance analysis and optimization in 6G cooperative ISAC systems

Sixth Generation (6G) mobile communication networks will involve sensing as a new function, with the overwhelming trend of Integrated Sensing And Communications (ISAC). Although expanding the serving...

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A Structured Distributed Learning Framework for Irregular Cellular Spatial-temporal Traffic Prediction

Spatial-temporal traffic prediction technology is crucial for network planning, resource allocation optimizing, and user experience improving. With the development of virtual network operators, multi-operator...

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Mitigating Blockchain Extractable Value threats by Distributed Transaction Sequencing Strategy

The rapid growth of blockchain and Decentralized Finance (DeFi) has introduced new challenges and vulnerabilities that threaten the integrity and efficiency of the ecosystem. This study identifies critical...

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Role of deep learning in cognitive healthcare: wearable signal analysis, algorithms, benefits, and challenges

Deep Learning (DL) offers promising solutions for analyzing wearable signals and gaining valuable insights into cognitive disorders. While previous review studies have explored various aspects of DL...

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Double-side delay alignment modulation for multi-user millimeter wave and terahertz communications

Delay Alignment Modulation (DAM) is an innovative broadband modulation technique well suited for millimeter Wave (mmWave) and Terahertz (THz) massive Multiple-Input Multiple-Output (MIMO) communication...

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Data driven vehicular heterogeneity based intelligent collision avoidance system for Internet of Vehicles (IoV)

The Internet of Vehicles (IoV) is an emerging technology that aims to connect vehicles, infrastructure, and other devices to enable intelligent transportation systems. One of the key challenges in IoV...

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Covert wireless communication over uplink satellite-terrestrial network

The emerging deployment of large-scale Low Earth Orbit (LEO) satellite constellations provides seamless global coverage. However, the increasing number of satellites also introduces significant security...

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Dynamic GNN-based multimodal anomaly detection for spatial crowdsourcing drone services

We introduce a pioneering anomaly detection framework within spatial crowdsourcing Internet of Drone Things (IoDT), specifically designed to improve bushfire management in Australia's expanding urban...

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Heterogeneous resource allocation with latency guarantee for computing power network

Computing Power Network (CPN) is a new paradigm that integrates communication, computing, and storage resources to provide services for tasks. However, tasks composed of non-independent subtasks have...

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Environment-aware streaming media transmission method in high-speed mobile networks

With technological advancements, high-speed rail has emerged as a prevalent mode of transportation. During travel, passengers exhibit a growing demand for streaming media services. However, the high-speed...

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DDMI: A Model Information Evaluation Method Based on Deep Dream

In recent years, the Internet of Everything (IoE) has been developing rapidly; however, there are currently issues with efficiency and sustainability within IoE. To address this problem, model lightweighting...

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An efficient conjunctive keyword searchable encryption for cloud-based IoT systems

Data privacy leakage has always been a critical concern in cloud-based Internet of Things (IoT) systems. Dynamic Symmetric Searchable Encryption (DSSE) with forward and backward privacy aims to address...

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CARS: connection as required scheme for horizontal communications in Industry 4.0

In the rapidly evolving landscape of Industry 4.0 (I4.0), the convergence of information and operational technologies necessitates real-time communication and collaboration across cyber-physical systems...

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UAV-assisted full-duplex ISAC: Joint communication scheduling, beamforming, and trajectory optimization

This paper proposes the Unmanned Aerial Vehicle (UAV)-assisted Full-Duplex (FD) Integrated Sensing And Communication (ISAC) system. In this system, the UAV integrates sensing and communication functions,...

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Large language model-driven probabilistic trajectory prediction in the Internet of Things using spatio-temporal encoding and normalizing flows

The convergence of the Internet of Things (IoT) and foundation models, particularly Large Language Models (LLMs), heralds a new era of intelligent and adaptive systems. This investigation explores the...

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Distributed context-aware Transformer enables dynamic energy consumption prediction for smart building networks

The integration of communication networks and artificial intelligence enables the effective collection of data over smart building networks, facilitating more accurate predictions of Building Energy...

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Optimizing foreign fiber segmentation performance with DeepLab V3+ and GAN in industrial IoE environments

In industrial Internet of Everything (IoE) environments, the precise detection of tiny foreign fibers on the surface of bobbin yarns is crucial for ensuring the quality of textile products. However,...

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The DNN-based DBP scheme for nonlinear compensation and longitudinal monitoring of optical fiber links

In this paper, a double-effect DNN-based Digital Back-Propagation (DBP) scheme is proposed and studied to achieve the Integrated Communication and Sensing (ICS) ability, which can not only realize nonlinear...

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Secure beamforming designs for maximizing secrecy sum rate in MISO-NOMA networks

In this paper, the application of Non-Orthogonal Multiple Access (NOMA) is investigated in a multiple-input single-output network consisting of multiple legitimate users and a potential eavesdropper....

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A hierarchical blockchain-enabled distributed federated learning system with model contribution based rewarding

Distributed Federated Learning (DFL) technology enables participants to cooperatively train a shared model while preserving the privacy of their local datasets, making it a desirable solution for decentralized...

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A multi-dimensional trust attestation solution in 5G-IoT

The core missions of IoT are to sense data, transmit data and give feedback to the real world based on the calculation of the sensed data. The trust of sensing source data and transmission network is...

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Security analysis and secured access design for networks of image remote sensing

The secured access is studied in this paper for the network of the image remote sensing. Each sensor in this network encounters the information security when uploading information of the images wirelessly...

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