Zobrazeno 1 - 10
of 84
pro vyhledávání: '"Chunlong He"'
Publikováno v:
Remote Sensing, Vol 16, Iss 20, p 3801 (2024)
Shallow water bathymetry is critical for environmental monitoring and maritime security. Current widely used statistical models based on passive optical satellite remote sensing often rely on prior bathymetric data, limiting their application to regi
Externí odkaz:
https://doaj.org/article/9d36b03af948484bac209e69923fc500
A Convolutional Neural Network with Spatial Location Integration for Nearshore Water Depth Inversion
Publikováno v:
Sensors, Vol 23, Iss 20, p 8493 (2023)
Nearshore water depth plays a crucial role in scientific research, navigation management, coastal zone protection, and coastal disaster mitigation. This study aims to address the challenge of insufficient feature extraction from remote sensing data i
Externí odkaz:
https://doaj.org/article/16d5cfd6bf8b4c8cbb39583656430c3c
Publikováno v:
Frontiers in Earth Science, Vol 10 (2022)
As a supplement to empirical-statistical methods, physically based methods can be employed to define rainfall thresholds for triggering landslides in areas lacking records of landslides. The transient rainfall infiltration and grid-based regional slo
Externí odkaz:
https://doaj.org/article/a68c73a11383454f9c71b90c41383617
Publikováno v:
IEEE Access, Vol 8, Pp 31245-31253 (2020)
In recent years, a lot of power allocation algorithms have been proposed to maximize spectral efficiency (SE) and energy efficiency (EE) for the distributed antenna systems (DAS). However, the traditional iterative power allocation algorithms are dif
Externí odkaz:
https://doaj.org/article/d2484a55274b46279e21ec385543bc33
Publikováno v:
IEEE Access, Vol 8, Pp 45325-45342 (2020)
Capacitive proximity sensors (CPSs) are ubiquitous because of their simple design, low cost and low consumption. Capacitive displacement sensing, as one of the three sensing modalities, works for long distance and can be unitized to measure more phys
Externí odkaz:
https://doaj.org/article/c6491d0ede344137b2ca67b32662b673
Publikováno v:
IEEE Access, Vol 7, Pp 20577-20584 (2019)
In this paper, we investigate the great potential of the combination of machine learning technology and wireless communications. Currently, many researchers have proposed various optimization algorithms on resource allocation for distributed antenna
Externí odkaz:
https://doaj.org/article/d2175c587a4c4b3cbb3981ed102fd11f
Publikováno v:
IEEE Access, Vol 7, Pp 26519-26526 (2019)
This paper focuses on time allocation to maximize the minimum throughput and sum-throughput of all users in a multi-cell wireless powered communication network (WPCN). Since interference of multi-cell WPCN is difficult to be calculated, we consider a
Externí odkaz:
https://doaj.org/article/e4c974d1c33b4f5f97345b63ecf7c126
Publikováno v:
IEEE Access, Vol 7, Pp 43555-43563 (2019)
This paper investigates the joint time and power allocation in a multi-cell wireless powered communication network (WPCN) with successive interference cancellation. In the WPCN, the hybrid access points broadcast wireless energy to all users and then
Externí odkaz:
https://doaj.org/article/7c8161b69b2f4cf3951ccf244fb748fe
Publikováno v:
IEEE Access, Vol 7, Pp 59575-59584 (2019)
In this paper, we consider the combination of machine learning (ML) and wireless communication. We design a machine learning generated clusters model in a distributed antenna system (DAS), which is constructed by two different ML clustering algorithm
Externí odkaz:
https://doaj.org/article/f868b5e3bad34f1d9a8b34e0abc7e794
Publikováno v:
IEEE Access, Vol 6, Pp 49886-49895 (2018)
In this paper, we first introduce the bidirectional distributed antenna systems (DAS) and exploit the choosing algorithm to take user-centric virtual cells into this system. Then, we discuss different power allocation optimization problems with inter
Externí odkaz:
https://doaj.org/article/af47f45064ef47bbb01607c3f00a4dba