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IoT
Scopus
ISSN 2624-831X · MDPI AG · 283 artikel di indeks
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Artikel Jurnal Teks lengkap
Securing Marine Assets: Edge ML and LoRa Mesh Integration for IoT Anti-Theft Systems
This paper presents a maritime Internet of Things anti-theft architecture based on an ESP32 onboard node, local motion analysis, and LoRa mesh communication. The proposed detection pipeline uses a one-dimensional convolutional autoencoder trained on stationary vessel data and applied to sliding…
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Image-Based Multi-Domain Feature Extraction for IoUT-Oriented Monitoring of Hydrofoil Tip Leakage Flow Cavitation
For Internet of Underwater Things (IoUT)−oriented condition monitoring of underwater propulsion systems, continuous visual observations can provide rich information on the spatial distribution and temporal evolution of cavitation, while the direct transmission of complete image sequences may impose…
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Meta-Learning-Driven Adaptive Control for Multi-Exit DNN Splitting at the Edge
Early-exit deep neural networks (DNNs) can reduce edge-inference latency, but abrupt variations in wireless and computing resources can destabilize split-inference policies. This paper proposes a meta-learning-driven adaptive control framework for joint backbone splitting and early-exit routing in…
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Privacy-Aware and Resource-Efficient Split Learning for IoT Botnet Detection: A Multi-Dataset Experimental and Systems Evaluation
Internet of Things (IoT) botnet detection requires high predictive performance, low client-side resource demands, and limited exposure of raw traffic data. This paper presents a traffic-constrained multi-client split-learning (TC-SL) intrusion-detection system evaluated on BoT-IoT, N-BaIoT, and…
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A Robust Sequential Acoustic Sensing Framework for Shallow-Water Meteorological Monitoring in IoUT
Passive acoustic monitoring of ocean surface wind speed and rainfall faces severe degradation in shallow waters due to multipath propagation and non-meteorological noise interference. To address these challenges within the Internet of Underwater Things (IoUT), this study proposes a sequential…
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Intelligent Steel Surface Defect Segmentation for Edge-Oriented IIoT Quality Control
Automated surface defect detection in hot-rolled steel is a prerequisite for real-time quality control, yet most deployed inspection systems operate in isolation from Industrial Internet of Things (IIoT) infrastructure. This paper reports a laboratory-scale proof of concept with two contributions…
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NP-Hard Joint Latency and Security Optimization for Task Offloading in IoT-Enabled Vehicular Networks
Task offloading in vehicular edge networks must satisfy strict latency limits. At the same time, it must resist security threats such as replay attacks. Existing offloading models treat cryptographic settings as fixed, separate from the scheduling decision. This is a gap, and it exists in part…
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Integrating LLMs into IoT-Driven Smart Healthcare Systems: A Systematic Literature Review and Future Agenda
The convergence of Large Language Models (LLMs) with the Internet of Things (IoT) is driving a transformative shift toward a continuous, context-aware smart healthcare ecosystem. Due to its novelty, existing research in this domain remains fragmented, leaving a critical gap in unified frameworks…
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A Simulated IoT Embedded System for Classroom Indoor Air Quality, Noise, and Lighting Monitoring: Architecture and Firmware Performance Analysis
Environmental conditions such as inadequate lighting, excessive noise, and poor indoor air quality can negatively affect students’ health, comfort, and academic performance. Although recent Internet of Things (IoT) technologies have enabled low-cost environmental monitoring systems, most studies…
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IoT-ClinXAI: Explainable Recovery Prediction in Smart Wards with Consensus Feature Selection and Snake Optimization
Patient recovery prediction and hospital length of stay estimation remain critical challenges in healthcare resource allocation and clinical decision-making. Inaccurate discharge planning drives substantial avoidable hospital costs, while existing machine learning models remain limited by narrow…
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A Multi-Layer Auditable Vertical Federated Learning Prototype for Power Equipment Supply Chains: Reproducibility, Robustness, and Privacy-Boundary Evaluation
Transformer lifecycle data across organizations are typically vertically partitioned among material suppliers, manufacturers, logistics service providers, testing agencies, and operation and maintenance units. This study presents a reproducible multi-layer vertical federated learning (VFL)…
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Design and Experimental Validation of a LoRa-Based IoT Architecture for Real-Time Monitoring of a Coupled Constructed Wetland Wastewater Treatment System
Continuous monitoring of water quality is essential for supporting environmental management and enabling timely decision-making in wastewater treatment facilities. Although numerous Internet of Things (IoT) solutions have been proposed for environmental monitoring, many rely on proprietary cloud…
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Intelligent Transportation Systems: A Review of Integration of Digital Twin and Machine Learning Control
This paper presents a comprehensive review of the integration of Intelligent Transportation Systems (ITS) and Digital Twin (DT) technologies for intelligent traffic management. It examines the role of key enabling technologies, including the Internet of Things (IoT), machine learning (ML), deep…
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Defense Against Information Integrity Attacks in Federated IoT Systems Using Inertial Momentum-Aware IALM-RPCA
While federated learning offers a decentralized approach to model training, ensuring the integrity of the information from each IoT client remains a challenge. This work delves into the dynamics of multi-stage federated learning, its susceptibility to information integrity attacks, and how to…
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Adaptive Federated Baseline K-Means for Lightweight IoT Intrusion Detection: Auto-Thresholding and Robust Statistics Aggregation
Federated, semi-supervised novelty detection is well suited for intrusion detection on resource-constrained Internet of Things (IoT) nodes: each device learns a model of benign traffic, shares only summary statistics, and does not transmit raw traffic samples. A previously published cross-layer…
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Internet of Plants (IoP): An IoT-Based Platform for Environmental Monitoring and Phenological Analysis
The Internet of Plants (IoP) represents the convergence of Artificial Intelligence (AI), Big Data analytics, and the Internet of Things (IoT) within protected agricultural systems. This study presents an IoP platform designed to collect, process, and analyze real-time environmental data using…
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Heuristic and Metaheuristic Approaches for the Multi-Node Allocation Problem in Large-Scale IoT Networks
The Multi-Node Allocation (MNA) problem in Internet of Things (IoT) networks arises when application requirements exceed the capacity of a single node, requiring job distribution across multiple devices. This problem is challenging in large-scale heterogeneous environments once it involves…
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M_PUBLISH: A Multi-Topic Publishing Protocol Extension for MQTT-Based IoT Systems
The Message Queuing Telemetry Transport (MQTT) protocol has become one of the most widely used messaging protocols for IoT and Industrial Internet of Things (IIoT) applications because of its lightweight publish–subscribe architecture. However, the standard MQTT PUBLISH message supports only a…
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Lightweight Strategies for Reliability Improvement of PUF-Based Authentication in Resource-Constrained Devices
Cyberattacks represent a serious threat for the security of network-based systems and are responsible for large economic losses every year. In this context, physical unclonable function (PUF)-based authentication can provide access to the network resources to legitimate users only, thus preventing…
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IoTHolter: An IoT Platform for Continuous Three-Lead ECG Monitoring Using Cellular Connectivity
Cardiovascular diseases are among the leading causes of mortality worldwide, making continuous electrocardiographic (ECG) monitoring essential for the early detection and follow-up of cardiac abnormalities. This study presents an Internet of Things (IoT) platform for continuous remote monitoring of…