ICT Express最新文献_第9页

Toward storage-aware learning with compressed data an empirical exploratory study on JPEG 基于压缩数据的存储感知学习在JPEG上的实证探索性研究

IF 4.2 3区计算机科学

ICT Express Pub Date : 2026-02-01 Epub Date: 2025-12-18 DOI: 10.1016/j.icte.2025.12.005

Kichang Lee , JeongGil Ko , Songkuk Kim , JaeYeon Park

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引用次数: 0

Macroeconomic context-aware graph topology learning for stock price forecasting using graph neural network 基于图神经网络的宏观经济上下文感知图拓扑学习股票价格预测

IF 4.2 3区计算机科学

ICT Express Pub Date : 2026-02-01 Epub Date: 2025-12-03 DOI: 10.1016/j.icte.2025.12.002

Amna Sarwar , Fizza Bukhari , Asma Sattar , Maryam Bukhari , Zahoor ur Rehman , Sungwoo Park , Seungmin Rho

引用次数: 0

A lightweight-to-diffusion framework for semantic image communications 语义图像通信的轻量化扩散框架

IF 4.2 3区计算机科学

ICT Express Pub Date : 2026-02-01 Epub Date: 2025-12-29 DOI: 10.1016/j.icte.2025.12.013

Thien Huynh-The , Toan Van Nguyen , Phuong Luu Vo , Huu-Tai Nguyen

引用次数: 0

Action recognition: A comprehensive survey of tasks, methods, and challenges 行动识别：对任务、方法和挑战的全面调查

IF 4.2 3区计算机科学

ICT Express Pub Date : 2026-02-01 Epub Date: 2025-11-29 DOI: 10.1016/j.icte.2025.11.015

Sehwan Heo , Junbeom Moon , Soon Ki Jung

{"title":"Action recognition: A comprehensive survey of tasks, methods, and challenges","authors":"Sehwan Heo , Junbeom Moon , Soon Ki Jung","doi":"10.1016/j.icte.2025.11.015","DOIUrl":"10.1016/j.icte.2025.11.015","url":null,"abstract":"<div><div>Action recognition has emerged as a central research problem in computer vision, aiming to identify and understand human actions from video data. Over the past decade, the field has advanced from early convolutional approaches to sophisticated architectures capable of capturing complex spatio-temporal dependencies. This survey provides a comprehensive overview of action recognition across six major tasks: Action Classification, Temporal Action Localization, Spatio-temporal Action Localization, Temporal Action Segmentation, Online Action Detection, and Action Anticipation. For each task, we trace the methodological evolution from foundational models to recent state-of-the-art approaches, highlighting how key challenges such as long-range temporal modeling, viewpoint variation, boundary precision, over-segmentation, real-time inference, and future uncertainty have been addressed. We also reorganize benchmark results and evaluation metrics, presenting a unified perspective that facilitates fair comparisons and reproducible research. In addition, we analyze representative datasets, ranging from early benchmarks like UCF101 and HMDB51 to large-scale collections such as Kinetics, ActivityNet, and Epic-Kitchens, which have enabled rapid progress in both supervised and self-supervised learning. We discuss open issues and unresolved challenges, including the use of State Space Models for efficient sequence modeling, multimodal fusion techniques that dynamically assess modality reliability, synthetic data and weak supervision for reducing annotation costs, and fairness-aware frameworks that ensure ethical applicability. By consolidating a decade of progress, this survey offers a structured understanding of the action recognition landscape and aims to inspire further research toward robust, scalable, and responsible video understanding systems.</div></div>","PeriodicalId":48526,"journal":{"name":"ICT Express","volume":"12 1","pages":"Pages 32-49"},"PeriodicalIF":4.2,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146154367","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimal beamforming in over-the-air federated learning for efficient model aggregation 基于高效模型聚合的空中联合学习中最优波束形成

IF 4.2 3区计算机科学

ICT Express Pub Date : 2026-02-01 Epub Date: 2025-07-10 DOI: 10.1016/j.icte.2025.06.016

Sangwoo Choi , Minsik Kim , Daeyoung Park

引用次数: 0

Transformer-based localization in UAV-RIS enabled non-terrestrial networks 基于变压器的无人机- ris非地面网络定位

IF 4.2 3区计算机科学

ICT Express Pub Date : 2026-02-01 Epub Date: 2025-11-28 DOI: 10.1016/j.icte.2025.11.017

Seungseok Sin , Sangmi Moon , Cheol Hong Kim , Intae Hwang

{"title":"Transformer-based localization in UAV-RIS enabled non-terrestrial networks","authors":"Seungseok Sin , Sangmi Moon , Cheol Hong Kim , Intae Hwang","doi":"10.1016/j.icte.2025.11.017","DOIUrl":"10.1016/j.icte.2025.11.017","url":null,"abstract":"<div><div>Accurate localization is essential for next-generation wireless systems. Traditional millimeter-wave (mmWave) techniques rely heavily on line-of-sight (LOS) paths, which limits their performance in non-line-of-sight (NLOS) environments. To overcome this challenge, we propose a non-terrestrial network (NTN) framework that employs an unmanned aerial vehicle–mounted reconfigurable intelligent surface (UAV-RIS) in conjunction with a Transformer-based refinement model. Unlike conventional regression or filtering approaches, the Transformer leverages self-attention mechanisms to refine coarse geometric estimates. Simulations using the DeepMIMO dataset show that more than 90% of users achieve sub-meter localization accuracy, representing a 35% improvement over existing baselines. These results demonstrate the novelty and effectiveness of integrating RIS adaptability with Transformer-based learning to enable robust, high-precision localization.</div><div>© 2025 The Author(s). Published by Elsevier B.V. on behalf of The Korean Institute of Communications and Information Sciences. This is an open-access article under the CC BY license (<span><span>http://creativecommons.org/licenses/by/4.0/</span><svg><path></path></svg></span>).</div></div>","PeriodicalId":48526,"journal":{"name":"ICT Express","volume":"12 1","pages":"Pages 20-25"},"PeriodicalIF":4.2,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146154422","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Big Step: A fast quantum algorithm for nonce discovery in Proof-of-Work blockchains 大进步：在工作量证明区块链中用于nonce发现的快速量子算法

IF 4.2 3区计算机科学

ICT Express Pub Date : 2026-02-01 Epub Date: 2025-12-01 DOI: 10.1016/j.icte.2025.11.023

Younghoon Park

引用次数: 0

Feature-driven static analysis for learning-based android malware detection: A review 基于学习的android恶意软件检测的特征驱动静态分析：综述

IF 4.2 3区计算机科学

ICT Express Pub Date : 2026-02-01 Epub Date: 2026-01-06 DOI: 10.1016/j.icte.2026.01.005

Sumesh Kharnotia , Bhavna Arora , Ravdeep Kour

引用次数: 0

A systematic review of knowledge distillation in industrial predictive maintenance: Applications, methods and challenges 工业预测性维护中的知识提炼：应用、方法和挑战

IF 4.2 3区计算机科学

ICT Express Pub Date : 2026-02-01 Epub Date: 2025-11-29 DOI: 10.1016/j.icte.2025.11.013

Li Wang , Jun Kit Chaw , Mei Choo Ang , Xiang Cheng , Halimah Badioze Zaman , Saraswathy Shamini Gunasekaran , Moamin A. Mahmoud

引用次数: 0

QoS-aware energy-efficient attacks in IoT: Eavesdropping and jamming with power optimization for single and multicast receiver scenarios 物联网中qos感知的节能攻击：针对单个和多播接收器场景的功率优化窃听和干扰

IF 4.2 3区计算机科学

ICT Express Pub Date : 2026-02-01 Epub Date: 2026-01-01 DOI: 10.1016/j.icte.2025.11.002

Dong Hyuck Woo , Ho Young Hwang

引用次数: 0