A DRL-BASED AUTOMATED ALGORITHM SELECTION FRAMEWORK FOR CROSS-LAYER QOS-AWARE SCHEDULING AND ANTENNA ALLOCATION IN MASSIVE MIMO SYSTEMS

A DRL-Based Automated Algorithm Selection Framework for Cross-Layer QoS-Aware Scheduling and Antenna Allocation in Massive MIMO Systems

Massive multiple-input-multiple-output (MIMO) systems support advanced applications with high data rates, low latency, and high reliability in next-generation mobile networks.However, using machine learning in massive MIMO resource allocation is challenging due to quality of service (QoS) and network complexity across layers.This work presents a no

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Deep Neural Networks and Kernel Density Estimation for Detecting Human Activity Patterns from Geo-Tagged Images: A Case Study of Birdwatching on Flickr

Thanks to recent advances in high-performance computing and deep learning, computer vision algorithms coupled with spatial analysis methods foot leveling provide a unique opportunity for extracting human activity patterns from geo-tagged social media images.However, there are only a handful of studies that evaluate the utility of computer vision al

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Interpretation of mechanical properties gradient in laser-welded joints: Experiments and grain morphology-dependent crystal plasticity modeling

The grain size and morphology of laser welds show a gradient distribution, leading to variations in mechanical properties.This study proposes a microscopic crystal plasticity constitutive (CPC) model to examine the effect of ER4047 welding wire on the mechanical properties of laser-welded aluminum alloy joints.A finite element model updating strate

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