Search alternatives:
iot technologies » data technologies (Expand Search), core technologies (Expand Search), _ technologies (Expand Search)
algorithm iot » algorithm both (Expand Search), algorithm co (Expand Search), algorithm i (Expand Search)
iot technologies » data technologies (Expand Search), core technologies (Expand Search), _ technologies (Expand Search)
algorithm iot » algorithm both (Expand Search), algorithm co (Expand Search), algorithm i (Expand Search)
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Proposed IoT communication system.
Published 2024“…Assuring vehicles owners of their timely arrival, cutting down on fuel usage, and improving communication using deep learning approach and optimization algorithm within the potential of IoT enabled 5G framework are the main goals. …”
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Block diagram for IoT-based irrigation system.
Published 2025“…Multiple soil-parameter measuring sensors are used to identify suitable crop and fertilizer requirements for that land using IoT and machine learning. The ML model-based crop prediction showed 97.35% accuracy utilizing random forest algorithm. …”
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Hardware design for IoT-based irrigation system.
Published 2025“…Multiple soil-parameter measuring sensors are used to identify suitable crop and fertilizer requirements for that land using IoT and machine learning. The ML model-based crop prediction showed 97.35% accuracy utilizing random forest algorithm. …”
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Run times of two algorithms.
Published 2025“…Multiple soil-parameter measuring sensors are used to identify suitable crop and fertilizer requirements for that land using IoT and machine learning. The ML model-based crop prediction showed 97.35% accuracy utilizing random forest algorithm. …”
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Sensor value scenario for fuzzy logic algorithm.
Published 2025“…Multiple soil-parameter measuring sensors are used to identify suitable crop and fertilizer requirements for that land using IoT and machine learning. The ML model-based crop prediction showed 97.35% accuracy utilizing random forest algorithm. …”
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TrustMesh: A Blockchain-Enabled Trusted Distributed Computing Framework for Open Heterogeneous IoT Environments
Published 2024“…<p dir="ltr">The rapid evolution of Internet of Things (IoT) environments has created an urgent need for secure and trustworthy distributed computing systems, particularly when dealing with heterogeneous devices and applications where centralized trust cannot be assumed. …”
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Evaluation of model aggregation algorithms.
Published 2024“…This algorithm leverages a federated learning architecture and combines it with Paillier homomorphic encryption technology to ensure the security of the training process. …”
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Comparison of homomorphic encryption algorithms.
Published 2024“…This algorithm leverages a federated learning architecture and combines it with Paillier homomorphic encryption technology to ensure the security of the training process. …”
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Supplementary file 1_Efficient lightweight cryptographic solutions for enhancing data security in healthcare systems based on IoT.zip
Published 2025“…Consequently, creating lightweight cryptographic solutions is crucial for guaranteeing secure and efficient data transmission in healthcare environments that utilise IoT technology. This study presents three efficient cryptographic methods: (1) a hybrid encryption algorithm that incorporates a Fibonacci sequence and a 6D hyper-chaotic system to improve confusion and diffusion; (2) hybrid lightweight encryption that utilizes logistic parity-based chaotic maps for secure data transformation; and (3) combined transformation and expansion (CTE)-based lightweight cryptography that employs dynamic chaotic systems for strong encryption. …”
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Data Sheet 1_Emerging trends in IoT for aquatic systems: a systematic literature review.pdf
Published 2025“…Following PRISMA guidelines, the studies were categorized into four thematic areas: IoT applications in aquatic environments, data transmission technologies, algorithms for process optimization and data analysis, and sensor fusion techniques. …”
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Working methodology of our proposed INBSI system.
Published 2025“…This capability is critical for meeting the diverse quality of service (QoS) requirements of various applications, from ultra-reliable low-latency communications to massive IoT deployments. To achieve efficient network slicing, intelligent algorithms are essential for optimizing network resources and ensuring QoS. …”
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Overview of the existing related models.
Published 2025“…This capability is critical for meeting the diverse quality of service (QoS) requirements of various applications, from ultra-reliable low-latency communications to massive IoT deployments. To achieve efficient network slicing, intelligent algorithms are essential for optimizing network resources and ensuring QoS. …”