ICT Express最新文献_第3页

Adaptive few-shot tiny neural systems for real-time traffic intensity prediction in smart cities 用于智能城市交通强度实时预测的自适应微神经系统

IF 4.6 3区计算机科学

ICT Express Pub Date : 2026-10-01 Epub Date: 2025-08-28 DOI: 10.1016/j.icte.2025.08.010

Rajesh Kumar Dhanaraj, Maragatharajan Muthusamy, Aanjankumar Sureshkumar, Balakannan sirumolasi Paramasivam, Dragan Pamucar

{"title":"Adaptive few-shot tiny neural systems for real-time traffic intensity prediction in smart cities","authors":"Rajesh Kumar Dhanaraj, Maragatharajan Muthusamy, Aanjankumar Sureshkumar, Balakannan sirumolasi Paramasivam, Dragan Pamucar","doi":"10.1016/j.icte.2025.08.010","DOIUrl":"10.1016/j.icte.2025.08.010","url":null,"abstract":"<div><div>The rapid evolution of urban mobility and smart city demands an intelligent transportation system which can make real-time decisions using lightweight and adaptive AI models. This research introduces a novel application of tiny machine learning which will combine the features of Few-shot learning algorithm and it will classify the traffic intensity levels on regional traffic data. By converting the traffic volume into three dynamic classes (Low/ Medium/ High), a compact neural network model is trained on episodic few-shot tasks that can mimic real-world low-data learning conditions. The proposed work supports open set classification which is more suitable for detecting unknown traffic behavior analysis by considering the previous day traffic level and how the future traffic intensity level can be predicted effectively. The accuracy of the proposed method is compared with the existing methods which lie with the baseline CNN (90 %) and SVM (89 %). But the average episode accuracy achieved through the proposed model is 95.2 % which makes this model promising for low-power edge deployment in intelligent transportation system.</div></div>","PeriodicalId":48526,"journal":{"name":"ICT Express","volume":"12 5","pages":"Pages 1069-1074"},"PeriodicalIF":4.6,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149096115","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Security-critical data exchange in digital twin ecosystems: Hybrid blockchain architectures and design trade-offs 数字孪生生态系统中的安全关键数据交换：混合区块链架构和设计权衡

IF 4.6 3区计算机科学

ICT Express Pub Date : 2026-10-01 Epub Date: 2026-05-28 DOI: 10.1016/j.icte.2026.05.013

Chimeremma Sandra Amadi, Simeon Okechukwu Ajakwe, Taesoo Jun

{"title":"Security-critical data exchange in digital twin ecosystems: Hybrid blockchain architectures and design trade-offs","authors":"Chimeremma Sandra Amadi, Simeon Okechukwu Ajakwe, Taesoo Jun","doi":"10.1016/j.icte.2026.05.013","DOIUrl":"10.1016/j.icte.2026.05.013","url":null,"abstract":"<div><div>This study presents a systematic review of hybrid blockchain architectures designed for security-critical data exchange within Digital Twin (DT) ecosystems. Unlike conventional surveys, this work characterizes hybrid designs as a structural necessity to resolve the inherent tension between sub-second transaction finality, real-time state mirroring, and multi-stakeholder data fusion. Utilizing a PRISMA-guided methodology, 116 studies are analyzed across a three-dimensional lifecycle-layer-security taxonomy. The review synthesizes a novel five-layer reference architecture that partitions trust responsibilities across physical operations, permissioned consensus, and public anchoring layers. A comprehensive defense-gap analysis identifies critical underserved areas, specifically highlighting governance, economic sustainability, and post-quantum resilience. Future research directions are operationalized through an explicit traceability mapping, emphasizing the transition toward standardized inter-chain protocols, AI-optimized adaptive consensus, and real-world deployment validation. This survey serves as a definitive blueprint for developing scalable, transparent, and regulation-aligned DT data-sharing infrastructures.</div></div>","PeriodicalId":48526,"journal":{"name":"ICT Express","volume":"12 5","pages":"Pages 1130-1151"},"PeriodicalIF":4.6,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149096012","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Covariance-based beamforming for integrated sensing and communications 基于协方差的集成传感和通信波束形成

IF 4.6 3区计算机科学

ICT Express Pub Date : 2026-10-01 Epub Date: 2025-09-23 DOI: 10.1016/j.icte.2025.09.004

Seokjun Park, Eunsung Choi, Jinseok Choi

引用次数: 0

A comprehensive survey of quantum computing approaches for portfolio optimization in FinTech 金融科技投资组合优化的量子计算方法的综合调查

IF 4.6 3区计算机科学

ICT Express Pub Date : 2026-10-01 Epub Date: 2026-08-05 DOI: 10.1016/j.icte.2026.07.025

Kimchhor Chiv, Anand Nayyar, Tae-Kyung Kim

{"title":"A comprehensive survey of quantum computing approaches for portfolio optimization in FinTech","authors":"Kimchhor Chiv, Anand Nayyar, Tae-Kyung Kim","doi":"10.1016/j.icte.2026.07.025","DOIUrl":"10.1016/j.icte.2026.07.025","url":null,"abstract":"<div><div>This survey presents a system-level architectural analysis of quantum computing for portfolio optimization in FinTech, focusing on problems that can become NP-hard under realistic discrete or combinatorial constraints and that face scalability challenges in classical cloud infrastructures. Based on a systematic review of 30 representative papers (2020-2025), three dominant paradigms — Quantum Annealing (QA), Variational Quantum Algorithms (VQAs), and Quantum Machine Learning (QML) — are evaluated specifically by focusing on their <em>constraint enforcement strategies</em> and <em>latency profiles</em>. The analysis suggests that QA and hybrid CQM approaches currently demonstrate significant near-term operational readiness for constraint-heavy portfolios due to its native solvers and lower communication overhead compared to iterative gate-based methods. Conversely, while VQAs offer high expressivity via mixers, they are operationally limited by the communication complexity of hybrid loops over public networks. Furthermore, QML approaches are shown to shift the bottleneck from optimization to state preparation, where data encoding latency often negates inference advantages. These engineering insights are synthesized into a practical implementation roadmap, advocating for distributed hybrid architectures to bridge the gap between theoretical quantum advantage and low-latency financial deployment.</div></div>","PeriodicalId":48526,"journal":{"name":"ICT Express","volume":"12 5","pages":"Pages 1210-1221"},"PeriodicalIF":4.6,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149096020","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Nonlinear PAPR suppression in OTSM systems using a reduced candidate strategy for energy-efficient 6G networks 基于减少候选策略的高效节能6G网络OTSM系统非线性PAPR抑制

IF 4.6 3区计算机科学

ICT Express Pub Date : 2026-10-01 Epub Date: 2026-07-13 DOI: 10.1016/j.icte.2026.07.006

Arun Kumar, Sharifah Sakinah Syed Ahmad, Mansor Alohali, Mehedi Masud, Aziz Nanthaamornphong

{"title":"Nonlinear PAPR suppression in OTSM systems using a reduced candidate strategy for energy-efficient 6G networks","authors":"Arun Kumar, Sharifah Sakinah Syed Ahmad, Mansor Alohali, Mehedi Masud, Aziz Nanthaamornphong","doi":"10.1016/j.icte.2026.07.006","DOIUrl":"10.1016/j.icte.2026.07.006","url":null,"abstract":"<div><div>Orthogonal Time Sequence Multiplexing (OTSM) is a promising waveform for beyond-5G and 6G systems due to its flexible time–sequence structure and robustness to doubly dispersive channels. However, like other multicarrier techniques, it suffers from a high peak-to-average power ratio (PAPR) that forces high-power amplifiers (HPAs) to operate with large input back-off and degrades bit error rate (BER) performance. This paper proposes a low-complexity hybrid PAPR mitigation framework that combines DFT-spreading with an energy–entropy-aware Chaos-SLM scheme using a minimal candidate size (<span><math><mrow><mi>U</mi><mo>=</mo><mn>2</mn></mrow></math></span>) and <em>no per-frame side information</em>. Simulations across 64-, 256-, and 512-subcarrier OTSM systems with a Rapp HPA show PAPR reductions of up to 9 dB over OFDM and 8 dB over baseline OTSM at the <span><math><mrow><mn>1</mn><msup><mrow><mn>0</mn></mrow><mrow><mo>−</mo><mn>3</mn></mrow></msup></mrow></math></span> CCDF level, accompanied by 10–13 dB SNR gains at a target BER of <span><math><mrow><mn>1</mn><msup><mrow><mn>0</mn></mrow><mrow><mo>−</mo><mn>3</mn></mrow></msup></mrow></math></span>, lower error vector magnitude (EVM), and reduced out-of-band emissions. The reduced PAPR translates into a smaller HPA back-off requirement, which improves the achievable PA operating efficiency; direct measurement of hardware power consumption is left for future work.</div></div>","PeriodicalId":48526,"journal":{"name":"ICT Express","volume":"12 5","pages":"Pages 1152-1157"},"PeriodicalIF":4.6,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149096733","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Towards fully autonomous network management: A survey on LLM-based Multi-Agent Systems 迈向完全自主的网络管理：基于llm的多智能体系统综述

IF 4.6 3区计算机科学

ICT Express Pub Date : 2026-08-01 Epub Date: 2026-07-13 DOI: 10.1016/j.icte.2026.07.003

Ki-Hyeon Kim, Cheoneum Park, Hyeonjeong Lee, Chanjin Park, Taehoon Kim, Mi-Jung Choi, Eunkyung Kim

引用次数: 0

Energy-efficient real-time vehicle detection using hybrid conditional frame skipping with YOLOv8 基于YOLOv8混合条件跳帧的节能实时车辆检测

IF 4.6 3区计算机科学

ICT Express Pub Date : 2026-08-01 Epub Date: 2026-07-13 DOI: 10.1016/j.icte.2026.07.004

Yasin Sancar, Esra Odabas Yildirim

引用次数: 0

Quantum machine learning for object detection and segmentation: A comprehensive survey and future research directions 量子机器学习用于目标检测与分割：综述及未来研究方向

IF 4.6 3区计算机科学

ICT Express Pub Date : 2026-08-01 Epub Date: 2026-07-01 DOI: 10.1016/j.icte.2026.06.011

Falak Niaz, Ida Bagus Krishna Yoga Utama, Yeong Min Jang

{"title":"Quantum machine learning for object detection and segmentation: A comprehensive survey and future research directions","authors":"Falak Niaz, Ida Bagus Krishna Yoga Utama, Yeong Min Jang","doi":"10.1016/j.icte.2026.06.011","DOIUrl":"10.1016/j.icte.2026.06.011","url":null,"abstract":"<div><div>Small objects have become increasingly common in civil, industrial, and security sensitive environments, driving a strong demand for reliable vision-based detection and segmentation. While deep learning (DL) models have achieved impressive performance, their practicality is limited by the small sizes of objects, cluttered backgrounds, motion blur, domain shift, and the growing cost of training and inference. Quantum machine learning (QML) has recently emerged as a potential research direction for exploring alternative feature representations, optimization strategies, and learning paradigms under resource constrained conditions. However, its practical efficiency benefits for object detection and segmentation remain largely preliminary and context dependent. The literature on quantum methods for detection and segmentation is scattered across the QML, aerial vision, and remote sensing domains. We provide a structured review of quantum, hybrid quantum–classical (HQC), and quantum approaches for detection and segmentation. We classify existing methods based on four aspects: how features are encoded and represented in quantum systems, the use of quantum kernels, variational quantum circuits (VQC) for classification and detection, and quantum architectures combined with modern detection and segmentation models. We summarize the commonly used datasets for quantum techniques, evaluation protocols, and computational constraints, comparing the reported performance trends, scalability levels, and practical limitations of quantum-based methods. Finally, we identify the open challenges, including data-efficient learning, robustness to domain shift, and end-to-end quantum segmentation, along with the research directions relevant to bridging the gap between QML and real-world object perception systems.</div></div>","PeriodicalId":48526,"journal":{"name":"ICT Express","volume":"12 4","pages":"Pages 963-984"},"PeriodicalIF":4.6,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148710019","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Explainable AI-powered hybrid metaheuristic optimization for heart disease prediction in connected healthcare systems 可解释的人工智能驱动的混合元启发式优化，用于连接医疗保健系统中的心脏病预测

IF 4.6 3区计算机科学

ICT Express Pub Date : 2026-08-01 Epub Date: 2026-05-28 DOI: 10.1016/j.icte.2026.05.019

M Janaki Ramudu, K Narasimha Raju, A Krishna Mohan

引用次数: 0

AI-MLA: An OSI-aligned Multi-Layered Architecture for secure and reliable AI systems AI- mla：用于安全可靠的AI系统的面向osi的多层体系结构

IF 4.6 3区计算机科学

ICT Express Pub Date : 2026-08-01 Epub Date: 2026-06-19 DOI: 10.1016/j.icte.2026.06.005

Cheon-Ho Min, Jin Kwak

{"title":"AI-MLA: An OSI-aligned Multi-Layered Architecture for secure and reliable AI systems","authors":"Cheon-Ho Min, Jin Kwak","doi":"10.1016/j.icte.2026.06.005","DOIUrl":"10.1016/j.icte.2026.06.005","url":null,"abstract":"<div><div>AI systems are inherently vulnerable to cross-layer risk propagation, where threats originating in individual components can spread across layers and compromise overall system reliability. Existing AI governance frameworks focus on management and process-level controls, offering limited guidance on the placement of technical safeguards, while detection-based approaches do not specify where such controls should be located. To address this gap, this paper proposes AI-MLA (AI Multi-Layered Architecture), a boundary-based layered model that organizes AI systems into seven technical layers (L1–L7) and aligns threats and control objectives at each layer. Rather than relying on learning-based detection alone, AI-MLA enhances reliability through its architectural design by introducing a pre-execution enforcement boundary at L4 (Policy) and L5 (Session) that suppresses malicious inputs before model invocation. Experimental results on 562 inputs across three attack categories show that the proposed approach blocks 60.9% of malicious inputs (FPR 1.42%), reduces latency by 59.8% under attack with negligible overhead (+0.0414 s, 1.20%), and consistently suppresses risks across attack types (96.1%/70.4%/47.7%). These findings demonstrate that AI-MLA improves both security and operational reliability in AI systems.</div></div>","PeriodicalId":48526,"journal":{"name":"ICT Express","volume":"12 4","pages":"Pages 917-922"},"PeriodicalIF":4.6,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148710180","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0