中国邮电高校学报英文版

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中国邮电高校学报英文版 关注(): 期刊周期：季刊; 期刊级别：国家级; 国内统一刊号：11-3486/TN; 国际标准刊号：1005-8885; 主办单位：北京邮电大学; 主管单位：北京邮电大学; 上一本期杂志：武汉大学学报信息科学版; 下一本期杂志：重庆邮电大学学报自然科学版

　　《中国邮电高校学报(英文版)》创刊于1994年。她是经中国政府主管部门批准，在国内外公开发行的学术性刊物，现为季刊。本刊内容涉及的主要学科领域为：电子学，通信即信息科学，计算机科学与工程，管理科学与工程等。由全国六所高等邮电院校共同发起并主办。六所邮电高校是：北京邮电大学(BUPT),南京邮电学院(NUPT),吉林大学(JLU),重庆邮电学院(CUPT),西安邮电学院(XIPT),及石家庄邮电职业技术学院(SPTTC)。该刊编辑部设在北京邮电大学。

　　该刊宗旨为：通过发表在上述各学科领域中的学术论文，研究报告和摘要，反映上述六所院校在科研和教学方面所取得的重要成果，促进国内各高等院校及国外同行之间在科学技术领域中的学术交流与合作。我们相信，本学报将成为一条有力的有力的友谊纽带，将国内外的学者们联系在一起，从而增进他们之间的相互了解，增强他们之间的学术交流。

　　该刊的读者范围正在逐步扩大，每年有四百余册寄往美国，英国，德国，俄罗斯，日本等国家和地区。该刊有较丰富的稿源，较强的编辑力量，并努力提高刊物的学术水平和编辑质量，使之能得到读者的欢迎。

　　中国邮电高校学报.英文版.栏目设置主要栏目：学术论文、研究报告、综述、研究简报。

　　中国邮电高校学报.英文版.收录国家新闻出版总署收录　获奖情况

　　首届《CAJ-CD规范》执行优秀期刊

　　被中科院信息中心“中国科学引文数据库”和科技部信息研究所“中国英文版科技期刊评价数据库”全文收录

　　阅读推荐：北京邮电大学学报

　　《北京邮电大学学报》(社会科学版)(双月刊)，创刊于1999年，中国人文科学学报核心期刊，并被中国学术期刊(光盘版)收录。本刊坚持办刊学术品位，力求在文、理、工、管等学科相互渗透，已在信息经济、网络文化、信息管理等方面办出一定特色。

　　中国邮电高校学报英文版最新期刊目录

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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