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Time-series forecasting of microbial fuel cell energy generation using deep learning
Published 2025-01-01“…With further development, SMFCs show great promise for use in robust and affordable outdoor sensor networks, particularly for farmers. One of the greatest challenges in the development of this technology is understanding and predicting the fluctuations of SMFC energy generation, as the electro-generative process is not yet fully understood. …”
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Microclimate monitoring in commercial tomato (Solanum Lycopersicum L.) greenhouse production and its effect on plant growth, yield and fruit quality
Published 2024-10-01“…These findings could encourage the sector to deploy larger sensor networks for optimal greenhouse climate control. …”
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1563
QoE-Driven Big Data Management in Pervasive Edge Computing Environment
Published 2018-09-01Get full text
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1564
Cloud-edge hybrid deep learning framework for scalable IoT resource optimization
Published 2025-02-01“…The hybrid DQN-PPO-GNN-RL model addresses bottlenecks by dynamically managing computing and network resources, allowing for efficient operations in low-latency, high-demand environments such as autonomous systems, sensor networks, and real-time monitoring. The use of Graph Neural Networks (GNNs) improves the accuracy of resource representation, while reinforcement learning-based scheduling allows for seamless adaptation to changing workloads. …”
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Analisis Kinerja Jaringan Sensor Nirkabel untuk Edge Computing Menggunakan LORA SX1278
Published 2021-10-01“…Abstract Wireless Sensor Networks (WSN) is one of the emerging technologies for the deployment of the Internet of Things, Smart Systems, Machine to Machine networks and so on. …”
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