Channel scenario extensions, identifications, and adaptive modeling for 6G wireless communications
To provide customized high-quality services for all users in the sixth-generation (6G)
wireless communication systems, it is fundamental to study all 6G channel scenarios and …
wireless communication systems, it is fundamental to study all 6G channel scenarios and …
An optimized feature selection approach using sand Cat Swarm optimization for hyperspectral image classification
Integrating metaheuristic algorithms and optimization techniques with remote sensing
technology has accelerated the advent of advanced methodologies for analyzing …
technology has accelerated the advent of advanced methodologies for analyzing …
Deep Learning Approaches for Crowd Density Estimation: A Review
NK Saini, R Sharma - … on System Modeling & Advancement in …, 2023 - ieeexplore.ieee.org
The term “crowd density estimation” refers to the process of determining the number of
people in a certain region or a specific area. This method has a wide range of applications …
people in a certain region or a specific area. This method has a wide range of applications …
[PDF][PDF] Channel Scenario Extensions, Identifications, and Adaptive Modeling for 6G Wireless Communications
Z Li, Z Qian - 2023 - ncrl.seu.edu.cn
Channel Scenario Extensions, Identifications, and Adaptive Modeling for 6G Wireless
Communications Page 1 Channel Scenario Extensions, Identifications, and Adaptive …
Communications Page 1 Channel Scenario Extensions, Identifications, and Adaptive …
Adaptive Feature Extraction and Attention-Based Segmentation Network for Remote Sensing Imagery
Semantic segmentation of land cover types is a pivotal task in remote sensing, essential for
applications in urban planning, environmental monitoring, disaster management, and …
applications in urban planning, environmental monitoring, disaster management, and …