IEEE Transactions on Emerging Topics in Computing
短名 | IEEE Trans. Emerg. Topics Comput. |
Journal Impact | 4.91 |
国际分区 | TELECOMMUNICATIONS(Q1) |
期刊索引 | SCI Q1中科院 2 区 |
ISSN | 2168-6750, 2376-4562 |
h-index | 61 |
国内分区 | 计算机科学(2区)计算机科学计算机信息系统(2区)计算机科学电信学(3区) |
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING 发表有关计算机科学、计算技术和计算应用的新兴方面的论文,目前其他 IEEE COMPUTER SOCIETY TRANSACTIONS 未涵盖。计算中新兴主题的一些示例包括:绿色 IT、合成和有机计算结构和系统、高级分析、社会/职业计算、基于位置的/客户端计算机系统、变形计算机设计、电子游戏系统和医疗保健 IT .
期刊主页投稿网址涉及主题 | 计算机科学操作系统工程类数学计算机网络物理计算机安全程序设计语言电气工程人工智能电信量子力学嵌入式系统生物算法政治学法学经济万维网 |
出版信息 | 出版商: IEEE Computer Society,出版周期: ,期刊类型: journal |
基本数据 | 创刊年份: 2013,原创研究文献占比: 100.00%,自引率:3.90%, Gold OA占比: 12.62% |
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最新文章
Table of Contents
2024-7-1
IEEE Transactions on Emerging Topics in Computing Information for Authors
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Special Section on Emerging Social Computing
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Front Cover
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Sepformer-Based Models: More Efficient Models for Long Sequence Time-Series Forecasting
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Towards Trustworthy Autonomous Systems: Taxonomies and Future Perspectives
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IEEE Transactions on Emerging Topics in Computing Information for Authors
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Front Cover
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Strategic Honeypot Deployment in Ultra-Dense Beyond 5G Networks: A Reinforcement Learning Approach
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Digital Contact Tracing Solutions: Promises, Pitfalls and Challenges
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Temporal Dual-Attributed Network Generation Oriented Community Detection Model
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Designing Secure and Resilient Cyber-Physical Systems: a Model-based Moving Target Defense Approach
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Special Section on Community Detection in Time-Varying Information and Computing Networks: Theory, Models, and Applications
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Table of Contents
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SenseHash: Computing on Sensor Values Mystified At the Origin
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Guest Editorial Navigating the Nexus of Cyber Security and Resilience
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Special Section on Emerging Topics in Hardware Computing Systems Security
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MiniFloats on RISC-V Cores: ISA Extensions with Mixed-Precision Short Dot Products
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Multi-Layer Personalized Federated Learning for Mitigating Biases in Student Predictive Analytics
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SelfVis: Self-Supervised Learning for Human Activity Recognition based on Area Charts
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Fair Influence Maximization in Social Networks: A Community-Based Evolutionary Algorithm
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Linearizing Binary Optimization Problems Using Variable Posets for Ising Machines
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Online Resource Provisioning and Batch Scheduling for AIoT Inference Serving in an XPU Edge Cloud
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Distributed Indexing Schemes for k-Dominant Skyline Analytics on Uncertain Edge-IoT Data
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Hardware-Aware DNN Compression via Diverse Pruning and Mixed-Precision Quantization
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A Near-Sensor Processing Accelerator for Approximate Local Binary Pattern Networks
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PresQ: Discovery of Multidimensional Equally-Distributed Dependencies via Quasi-Cliques on Hypergraphs
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Affective Region Recognition and Fusion Network for Target-Level Multimodal Sentiment Classification
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Deep Graph Networks for Drug Repurposing With Multi-Protein Targets
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Front Cover
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PowerScout: Security-Oriented Power Delivery Network Modeling for Side-Channel Vulnerability Analysis
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CRAM-Based Acceleration for Intermittent Computing of Parallelizable Tasks
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Enhancing Neural Architecture Search with Multiple Hardware Constraints for Deep Learning Model Deployment on Tiny IoT Devices
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Guest Editorial Emerging Trends and Advances in Graph-Based Methods and Applications
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Fusing Higher and Lower-Order Biological Information for Drug Repositioning via Graph Representation Learning
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Blockchain-Based Federated Learning With SMPC Model Verification Against Poisoning Attack for Healthcare Systems
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D $i$ E$v$D: Disruptive Event Detection from Dynamic Datastreams using Continual Machine Learning: A Case Study with Twitter
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Skeleton-Based Action Segmentation With Multi-Stage Spatial-Temporal Graph Convolutional Neural Networks
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LocalTGEP: A Lightweight Edge Partitioner for Time-Varying Graph
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MissII: Missing Information Imputation for Traffic Data
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Designing mobile technologies to encourage civic engagement: The role of situated motivational affordances
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MFDS-STGCN: Predicting the Behaviors of College Students With Fine-Grained Spatial-Temporal Activities Data
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CAT SNN: Conversion Aware Training for High Accuracy and Hardware Friendly Spiking Neural Networks
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Enabling Obfuscation Detection in Binary Software through eXplainable AI
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Hardware/Software co-design with ADC-Less In-memory Computing Hardware for Spiking Neural Networks
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A FeFET-Based ADC Offset Robust Compute-In-Memory Architecture for Streaming Keyword Spotting (KWS)
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Quantum-Inspired Differential Evolution with Decoding using Hashing for Efficient User Allocation in Edge Computing Environment
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DP-PartFIM: Frequent Itemset Mining using Differential Privacy and Partition
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DECC: Delay-Aware Edge-Cloud Collaboration for Accelerating DNN Inference
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Unsupervised Domain Adaptation Via Contrastive Adversarial Domain Mixup: A Case Study on COVID-19
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