Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Huxiong Li"'
Autor:
Yuwei Cai, Bingxu Hu, Hongjie He, Kyle Gao, Hongzhang Xu, Ying Zhang, Saied Pirasteh, Xiuqing Wang, Wenping Chen, Huxiong Li
Publikováno v:
Egyptian Journal of Remote Sensing and Space Sciences, Vol 27, Iss 1, Pp 108-119 (2024)
The manual extraction of land disturbances associated with oil exploration, which normally includes resource roads, mining facilities, and well pads, presents significant challenges in terms of cost and time. Accurate monitoring and mapping of land d
Externí odkaz:
https://doaj.org/article/a681e0578c1c4fdca3ed9407e8061452
Autor:
Xiuqing Wang, Davood Mafi-Gholami, Saied Pirasteh, Tao Wang, Huxiong Li, Tim G. Frazier, Akram Nouri-Kamari, Abolfazl Jaafari, Ammar Abulibdeh
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 132, Iss , Pp 104053- (2024)
Protected areas play a crucial role in safeguarding biodiversity and ecosystem services. However, they face mounting challenges from environmental pressures. This study examines the Oshtorankooh Protected Area (OPA) in Iran, evaluating its vulnerabil
Externí odkaz:
https://doaj.org/article/e1b04d0cac9945ba9b305b9009515687
Autor:
Armin Moghimi, Chiranjit Singha, Mahdiyeh Fathi, Saied Pirasteh, Ali Mohammadzadeh, Masood Varshosaz, Jian Huang, Huxiong Li
Publikováno v:
Quaternary Science Advances, Vol 14, Iss , Pp 100187- (2024)
Landslides are a prevalent natural hazard in West Bengal, India, particularly in Darjeeling and Kurseong, resulting in substantial socio-economic and physical consequences. This study aims to develop a hybrid model, integrating a Genetic-based Random
Externí odkaz:
https://doaj.org/article/1134954b0ec0404e9a6665b0ad946912
Autor:
Mehdi Gheisari, Mustafa Ghaderzadeh, Huxiong Li, Tania Taami, Christian Fernández-Campusano, Hamidreza Sadeghsalehi, Aaqif Afzaal Abbasi
Publikováno v:
JMIR mHealth and uHealth, Vol 12, p e58810 (2024)
Externí odkaz:
https://doaj.org/article/6d71bcbdc788492bb5305ab37c3b1d40
Autor:
Saied Pirasteh, Davood Mafi-Gholami, Huxiong Li, Zhaoxi Fang, Akram Nouri-Kamari, Behnam Khorrami
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 128, Iss , Pp 103769- (2024)
This groundbreaking research makes a contribution to climate change adaptation studies by filling a crucial knowledge gap related to the precise evaluation of mangrove biomass—an essential element influencing the future trends of coastal ecosystems
Externí odkaz:
https://doaj.org/article/0939f358d6034467b78fb44674731fb4
Publikováno v:
IET Control Theory & Applications, Vol 17, Iss 13, Pp 1830-1839 (2023)
Abstract The cloud computing center can dynamically respond to various needs, schedule computing resources, and provide users with convenient IT services. As the demand for cloud computing services continues to increase, the scale of the data center
Externí odkaz:
https://doaj.org/article/d911473c9c2140c686524ba631176d92
Autor:
Mehdi Gheisari, Mustafa Ghaderzadeh, Huxiong Li, Tania Taami, Christian Fernández-Campusano, Hamidreza Sadeghsalehi, Aaqif Afzaal Abbasi
Publikováno v:
JMIR mHealth and uHealth, Vol 12, p e44406 (2024)
BackgroundIn the modern world, mobile apps are essential for human advancement, and pandemic control is no exception. The use of mobile apps and technology for the detection and diagnosis of COVID-19 has been the subject of numerous investigations, a
Externí odkaz:
https://doaj.org/article/39a91134b2bb447aa1327cccc4144250
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 112, Iss , Pp 102875- (2022)
Fine-scale land disturbances due to mining development modify the land surface cover and have cumulative detrimental impacts on the environment. Understanding the distribution of fine-scale land disturbances related to mining activities, such as oil
Externí odkaz:
https://doaj.org/article/0166cc7626cb47c6bb325d6fc1c73584
Autor:
Huxiong Li, Weiya Ye, Jun Liu, Weikai Tan, Saied Pirasteh, Sarah Narges Fatholahi, Jonathan Li
Publikováno v:
Remote Sensing, Vol 13, Iss 17, p 3448 (2021)
This study presents a novel workflow for automated Digital Terrain Model (DTM) extraction from Airborne LiDAR point clouds based on a convolutional neural network (CNN), considering a transfer learning approach. The workflow consists of three parts:
Externí odkaz:
https://doaj.org/article/7176e51da3a048268ee611faaa39fc01
Publikováno v:
IEEE Access, Vol 5, Pp 12176-12184 (2017)
This paper discusses the problem of robust controller design for two-dimensional (2-D) Markovian jump linear systems. The problem is demonstrated using Fornasini-Marchesini local state-space models, which are affected by uncertainties. The transition
Externí odkaz:
https://doaj.org/article/45dea0526446442ba06969b7e91b56d7