A BOOK RETRIEVAL AND LOCATION SYSTEM BASED ON REAL-SCENE 3D

A BOOK RETRIEVAL AND LOCATION SYSTEM BASED ON REAL-SCENE 3D

With the development of urbanization, the building structures are more and more complex, and various moving objects, such as human beings, robots and unmanned aerial vehicles, often travel through indoor and outdoor Serving Boards 3D space, which puts forward higher requirements for the accurate search and location in indoor and outdoor space.At pr

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Energy-Efficient Joint User and Power Allocation in 5G Millimeter Wave Networks: A Genetic Algorithm-Based Approach

Reducing power consumption is a pivotal challenge in 5G millimeter wave (mmWave) networks due to the density of the base stations (BSs) in these networks.In this paper, we focus on the joint user and power allocation problem in 5G mmWave networks, aiming to minimize power consumption while maintaining the user Quality of Service (QoS), considering

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Land Classification Research Based on the Improved Deeplabv3+ Model and the AI Earth Remote Sensing Cloud Platform

Complex geospatial object classification plays a pivotal role in resource management and planning, environmental conservation, and Round Counter Height Table related fields.Deep learning has consistently emerged as one of the premier avenues for processing remote sensing imagery.Existing deep learning models, however, are beset with challenges such

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Metabarcoding dataset on the elicitation of Soybean and Mungbean using Ragi Tape as elicitors for enhancing secondary metabolites production

Ragi Tape (RT) is commonly used as the microbial starter for various Indonesian traditional food.Consist of diverse Shelf microbial populations, RT has excellent agents as elicitors to augment the bioactive compounds in Soybean (SB) and Mungbean (MB).Metabarcoding analysis has shown to identify the microbial population involved in elicitation using

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