Spatiotemporal Big Data Retrieval Method Based on GeoHash Algorithm and Multimode Composite Index
With the increasing demand for multisource heterogeneous spatiotemporal data in applications such as smart cities and intelligent transportation, how to balance retrieval accuracy, multimodal adaptation, and high concurrency response has become a key issue.
Yanxin Wang, Federica Proietto
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Li L, Xiao Z, Hu T.
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Scalable hybrid framework for real time and non real time task scheduling in fog computing using federated reinforcement learning and PSO GA. [PDF]
Liu F, Liu Z, Liu X, Zhou H.
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Lightweight deep deterministic policy gradient for edge computing in recirculating aquaculture systems: real-time feeding control with reduced computational requirements. [PDF]
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Adaptive Switching Redundant-Mode Multi-Core System for Photovoltaic Power Generation. [PDF]
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ZBP-MM: Zone-based producer mobility management protocol in named data networking for Internet of Things. [PDF]
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An FPGA-Based Reconfigurable Accelerator for Real-Time Affine Transformation in Industrial Imaging Heterogeneous SoC. [PDF]
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Machine learning-based criminal behavior analysis for enhanced digital forensics. [PDF]
Dananjana WP +5 more
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