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ICT Express
Scopus
ISSN 2405-9595 · Elsevier · 990 artikel di indeks
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Artikel Jurnal
The DePIN phenomenon: Characteristics, reward architecture, and practical implementations
Decentralized Physical Infrastructure Networks (DePIN) combine blockchain technology with distributed physical assets to organize and motivate the provision of real-world infrastructure. Although the term emerged in 2022, comprehensive studies on the subject are limited. This study bridges that gap…
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Artikel Jurnal
Gated side adapters with memory-efficient fine tuning for RGB-T tracking
Multi-modal tracking fuses different domain features to compensate for each other. Due to the large training complexity of the foundation RGB model, several parameter-efficient fine-tuning (PEFT) methods have been presented for RGB-T tracking. Although these PEFT methods effectively reduce the…
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Artikel Jurnal
Model-driven learning for OTFS detection based on an enhanced GNN with prior information
Orthogonal Time Frequency Space (OTFS), characterized by its unique time-frequency orthogonality, has demonstrated significant advantages in overcoming the difficulties caused by time-varying channels in wireless communications. To realize the full capabilities of OTFS, designing an efficient…
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Artikel Jurnal
Activity recognition and user identification using mmWave radar with a shared-backbone graph network and task-specific heads
Identity-aware activity recognition is a key enabler for customized services. However, joint modeling of activity recognition and user identification from wireless signals remains underexplored. This work presents a dual-task graph model for millimeter-wave (mmWave) frequency-modulated…
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Artikel Jurnal
AI-enhanced Digital Twin systems for warehouse logistics optimization: A review of challenges with solutions and future directions
Digital transformation is revolutionizing warehousing by integrating advanced technologies like Digital Twins, AI, and IoT. Digital Twins create virtual warehouse replicas for simulation and optimization, enhancing resource allocation and proactive problem-solving. AI-driven systems predict and…
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Artikel Jurnal
Semantic-aware communication and computation co-optimization in digital twin-assisted Internet of Drones networks using federated deep reinforcement learning
This paper introduces a semantic-aware framework for communication and computation in Internet of Drones (IoD)-assisted digital twin (DT) networks within the context of smart agriculture. In our system, the IoD gathers environmental data and conducts onboard semantic analysis to identify…
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Artikel Jurnal
Robust 3D pose estimation via occlusion-aware training and test time adaptation
Conventional deep learning-based estimators often exhibit limited robustness when exposed to occluded inputs, as their training distributions are biased toward fully visible or minimally occluded human poses. To address this generalization gap, a novel framework, ORPESO (Occlusion Robust Pose…
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Artikel Jurnal
A review on current state of art of a blockchain interoperability
Blockchain technology is one of the highly influential technology nowadays due to its features such as highly secure, immutable data storage. Many blockchain developments are in their infancy because blockchains work in their own silos and are not sufficiently interoperable with each other. Many…
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Artikel Jurnal
A systematic mapping and review on machine learning for non-terrestrial networks assisted Internet of Things: Enabling technologies
Non-terrestrial networks (NTNs), comprising unmanned aerial vehicles (UAVs), high-altitude platforms (HAPs), and satellites, are increasingly studied as complements to terrestrial infrastructures for extending connectivity to Internet of Things (IoT) devices and sensor networks. NTN-assisted IoT…
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Artikel Jurnal
Text-guided diffusion-based restoration of extremely compressed backgrounds for VCM
Restoring high-quality images from severely degraded inputs is essential for video coding for machines (VCM), where background regions are compressed at extremely low bitrates. In this letter, we propose a novel text-guided diffusion-based restoration (TGDR) algorithm, which integrates semantic…
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Artikel Jurnal
From prompt injections to protocol exploits: Threats in LLM-powered AI agents workflows
Autonomous AI agents powered by large language models (LLMs) with structured function-calling interfaces have greatly expanded capabilities for real-time data retrieval, computation, and multi-step orchestration. However, the rapid growth of plugins, connectors, and inter-agent protocols has…
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Artikel Jurnal
Performance evaluation and optimization for 6G networks: A survey of KPIs, Tools, and AI models
This paper presents a comprehensive review of performance evaluation and optimization (PEO) methodologies for sixth-generation (6G) networks. It systematically analyzes the key performance indicators (KPIs) defined by major standardization bodies such as ITU-R, 3GPP, IEEE, & TIA and industry fora…
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Artikel Jurnal
Joint detection, tracking and communication optimization based on radar-communication UAV
Improving the ability of an unmanned aerial vehicle (UAV) to perform tasks is of great significance in the future battlefield. This paper investigates the detection, tracking, and communication tasks performed by a radar-communication UAV under time and energy constraints. To balance the…
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Artikel Jurnal
Are you hallucinated? Insights into large language models
The work presented in the paper challenges the common view of hallucination as a flaw in Large Language Models (LLMs), proposing instead that it is an inherent feature of their architecture. It explores the relationship between “creativity,” “generalization,” and “hallucination,” showing that they…
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Artikel Jurnal
Unmanned Aerial Vehicles-based blockchain-inspired Intelligent framework for collaborative intrusion detection
Unmanned Aerial Vehicles (UAVs) are increasingly deployed across diverse domains such as surveillance, logistics, and disaster management. However, ensuring the safety, security, and trustworthiness of UAV operations remains a significant challenge, primarily due to vulnerabilities in centralized…
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Artikel Jurnal
Native AI-based hybrid deep learning for wireless link quality prediction in NTN waterside scenarios
Predicting link quality before establishing communication between transmitter and receiver enhances channel selection. With the advancements in artificial intelligence, prediction is now possible for complex environments such as riverside, maritime and polar regions. This paper evaluates Wi-Fi and…
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Artikel Jurnal
Enhancing fine-grained image classification through attentive batch training
Fine-grained image classification, which is a challenging task in computer vision, requires precise differentiation among visually similar object categories. In this paper, we design a novel framework, namely Relationship Batch Integration (RBI), allowing the discernment of vital visual features…
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Artikel Jurnal
Optimized hybrid CNN-LSTM-GRU model for cyber attack detection using Adaptive Equilibrium Optimization
Modern network security has a great difficulty in cyber attack detection. In this context, this work presents an CNN-LSTM-GRU Model for cyber attack detection. AEO was used to maximize feature selection for the model, therefore lowering unnecessary data while maintaining important attack patterns…
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Artikel Jurnal
Leveraging dynamic feature fusion of self & cross-attention for robust multimodal emotion recognition
Recent multimodal emotion recognition (MER) approaches often assume that fusing audio and video modalities through cross-attention inherently yields superior feature representations for MER. However, our analysis reveals that different emotions manifest more prominently in specific modalities…