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Found 6 papers, 1 papers with code
Forecasting the Future with Future Technologies: Advancements in Large Meteorological Models
The field of meteorological forecasting has undergone a significant transformation with the integration of large models, especially those employing deep learning techniques.
Energy Efficiency and Delay Tradeoff in an MEC-Enabled Mobile IoT Network
Theoretical analysis proves that the proposed algorithm can achieve a $[O(1/V), O(V)]$ tradeoff between EE and service delay.
Asymmetric Hash Code Learning for Remote Sensing Image Retrieval
In this paper, we propose a novel deep hashing method, named asymmetric hash code learning (AHCL), for RSIR.
Mobility-Aware Offloading and Resource Allocation in MEC-Enabled IoT Networks
In this paper, the offloading decision and resource allocation problem is studied with mobility consideration.
Deep Learning for Hyperspectral Image Classification: An Overview
Specifically, we first summarize the main challenges of HSI classification which cannot be effectively overcome by traditional machine learning methods, and also introduce the advantages of deep learning to handle these problems.
Deep Hashing Learning for Visual and Semantic Retrieval of Remote Sensing Images
Although retrieval methods have achieved great success, there is still a question that needs to be responded to: Can we obtain the accurate semantic labels of the returned similar images to further help analyzing and processing imagery?
