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中國郵電高校學報英文版

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中國郵電高校學報英文版

中國郵電高校學報英文版

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期刊周期:季刊
期刊級別:國家級
國內統一刊號:11-3486/TN
國際標準刊號:1005-8885
主辦單位:北京郵電大學
主管單位:北京郵電大學
上一本期雜志:武漢大學學報信息科學版
下一本期雜志:重慶郵電大學學報自然科學版

   《中國郵電高校學報(英文版)》創刊于1994年。她是經中國政府主管部門批準,在國內外公開發行的學術性刊物,現為季刊。本刊內容涉及的主要學科領域為:電子學,通信即信息科學,計算機科學與工程,管理科學與工程等。由全國六所高等郵電院校共同發起并主辦。六所郵電高校是:北京郵電大學(BUPT),南京郵電學院(NUPT),吉林大學(JLU),重慶郵電學院(CUPT),西安郵電學院(XIPT),及石家莊郵電職業技術學院(SPTTC)。該刊編輯部設在北京郵電大學。

  該刊宗旨為:通過發表在上述各學科領域中的學術論文,研究報告和摘要,反映上述六所院校在科研和教學方面所取得的重要成果,促進國內各高等院校及國外同行之間在科學技術領域中的學術交流與合作。我們相信,本學報將成為一條有力的有力的友誼紐帶,將國內外的學者們聯系在一起,從而增進他們之間的相互了解,增強他們之間的學術交流。

  該刊的讀者范圍正在逐步擴大,每年有四百余冊寄往美國,英國,德國,俄羅斯,日本等國家和地區。該刊有較豐富的稿源,較強的編輯力量,并努力提高刊物的學術水平和編輯質量,使之能得到讀者的歡迎。

  中國郵電高校學報.英文版.欄目設置主要欄目:學術論文、研究報告、綜述、研究簡報。

  中國郵電高校學報.英文版.收錄國家新聞出版總署收錄 獲獎情況

  首屆《CAJ-CD規范》執行優秀期刊

  被中科院信息中心“中國科學引文數據庫”和科技部信息研究所“中國英文版科技期刊評價數據庫”全文收錄

  閱讀推薦:北京郵電大學學報

  《北京郵電大學學報》(社會科學版)(雙月刊),創刊于1999年,中國人文科學學報核心期刊,并被中國學術期刊(光盤版)收錄。本刊堅持辦刊學術品位,力求在文、理、工、管等學科相互滲透,已在信息經濟、網絡文化、信息管理等方面辦出一定特色。

  中國郵電高校學報英文版最新期刊目錄

Non-invasive prosthesis pose visualization in joint replacement surgery based on multi-sensor fusion

摘要:With the aging population, demand for artificial joint replacement is growing. In total hip arthroplasty (THA), implanting the acetabular cup into the safe zone (inclination: 40°±10°, anteversion: 15°...

Non-orthogonal multiple access scheme for hybrid conventional communication and semantic communication systems

摘要:emantic communication improves task-level transmission efficiency, but its learned continuous signals lack standard constellations and make conventional power-domain non-orthogonal multiple access (NO...

CARENet: deep learning-based channel estimation for dynamic OFDM systems with channel attention

摘要:In the field of wireless communication, channel estimation in orthogonal frequency division multiplexing(OFDM) systems faces many challenges. Traditional methods do not work well in changing environme...

FedMCRe: multi-class classifier personalized federated learning via classifier re-training

摘要:Personalized federated learning(PFL) is aimed at systematically addressing the problem of data heterogeneity.Traditional PFL methods have primarily focused on improving the local training process on t...

Multi-scale multi-head attention mechanism for deepfake video detection

摘要:The rapid advancement of deep learning models has significantly facilitated the generation of highly realistic videos. A notable characteristic of forged images is the discrepancy between altered pixe...

Research on wireless sensor network coverage optimization using multi-strategy fusion to improve the sparrow search algorithm

摘要:Aiming at the shortcomings of sparrow search algorithm(SSA) such as slow convergence speed and low accuracy of optimal solution, a multi-strategy improved sparrow search algorithm(MSSA) was proposed. ...

All Weather Fusion: Towards Robust Cross-Modal 3D Object Detection in Adverse Weather

摘要:Cross-modal 3D object detection under various weather is a crucial task for safe autonomous driving system. However, the sparse point clouds and inferior image quality pose a great challenge for 3D ob...

Research on a CNN-BiGRU Charging Load Prediction Model Incorporating Modal Decomposition and Attention Fusion

摘要:Under China's "Dual Carbon" strategy, large-scale electric vehicle (EV) charging loads exhibit significant nonlinearity and non-stationarity, challenging grid stability. This study proposes a novel hy...

Secure and Efficient Data Sharing in Disaster Rescue Based on Blockchain

摘要:In disaster areas, rescue vehicles need to exchange large amounts of data, such as rescue commands and operational experience, to ensure driving safety and rescue efficiency. However, the communicatio...

Multi-threshold image segmentation based on multi-strategy beluga whale optimization

摘要:In multi-threshold image segmentation tasks, heuristic-based optimization algorithms often suffer from insufficient global search capability and proneness to falling into local optima, which impairs t...

EEG emotion recognition based on dynamic expansion of EEG channels and spatio-temporal multi-resolution fusion

摘要:The rapid advancement of deep learning models has effectively promoted the research on electroencephalogram (EEG) emotion recognition. However, the sparse distribution of electrodes limits the capabil...

Mixed Secure Autoprecoder Design for MIMO Broadcast Channel with Confidential Messages

摘要:The application of deep learning (DL) to secure precoding in multiple-input multiple-output (MIMO) communication systems has shown great potential in overcoming complex, non-convex optimization challe...

Unsupervised multimodal brain image fusion based on lightweight double subGAN networks

摘要:The Generative Adversarial Network (GAN) used for medical image fusion still faces several challenges: it cannot fully capture and learn important features from the images; it requires an excessive nu...

Design and Implementation of a High-Performance Shader for Graphics Rendering

摘要:As the core module of graphics processing unit(GPU), the shader's arithmetic performance directly affect the overall performance of GPU. This paper proposes a high-performance GPU shader architecture ...

Algorithm-Architecture Co-Design for CNN Acceleration Exploiting Linear Association of Weights

摘要:To deploy convolutional neural networks (CNNs) on resource-constrained edge devices and accelerate inference, this paper proposes a hardware-aware CNN optimization algorithm named Linear Association o...

Joint active and passive beamforming optimization of IRS-assisted vehicular system with IA-GNN

摘要:The implementation of an effective intelligent reflecting surface (IRS) assisted millimeter-wave (mmWave) vehicular system critically depends on the proper beamforming design exploiting accurate chann...

Hierarchical Assignment-Based Adaptive Density Peak Clustering

摘要:The Density Peak Clustering (DPC) algorithm is sensitive to the selection of the truncation distance and prone to chaining effects during point assignment. To address these issues, this paper proposes...

Quality-multilevel image encryption framework with correlation-reduced measurement and adaptive gradient descent reconstruction

摘要:Digital image is an important medium for information transmission; however, unauthorized access can lead to the leakage of sensitive content. To ensure robust security and efficient performance on res...

HOFI-YOLOv7: object detector based on improved YOLOv7 for UAV aerial images

摘要:Object detection in unmanned aerial vehicle(UAV) images plays an important role in environmental monitoring, post-disaster rescue and other fields. However, the complex context and small size of typic...

Model functional blocking and differentiated scheduling mechanism under personalized federated learning framework for intermittent photovoltaic power generation

摘要:Federated learning(FL) is a promising technique to build a power generation model in photovoltaic(PV) scenarios. However, due to the heterogeneity of power generation data, there is a problem of slow ...

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