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Ziwei Tian, Jie Huang, Yang Yang and Weiying Nie
Aerial remote sensing image object detection, based on deep learning, is of great significance in geological resource exploration, urban traffic management, and military strategic information. To improve intractable problems in aerial remote sensing imag...
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Vu Hien Phan, Danh Phan Hong Pham, Tran Vu Pham, Kashif Naseer Qureshi and Cuong Pham-Quoc
The smart environmental management system proposed in this work offers a new approach to environmental monitoring by utilizing data from IoT stations and MODIS satellite imagery. The system is designed to be deployed in vast regions, such as the Mekong D...
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Alok Sagar Gautam, Abhishek Joshi, Sagarika Chandra, Umesh Chandra Dumka, Devendraa Siingh and Ram Pal Singh
The current study is mainly focused on the monthly variation in the lightning flash rate (LFR) and related thermodynamic parameters using the data for the years 2000?2013, and the trend of lightning variation is explored. Lightning data are used from a l...
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Jiangfan Feng and Chengjie Yi
Recent advances in unmanned aerial vehicles (UAVs) have increased altitude capability in road-traffic monitoring. However, state-of-the-art vehicle detection methods still lack accurate abilities and lightweight structures in the UAV platform due to the ...
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Kyung M. Han, Chang H. Jung, Rae-Seol Park, Soon-Young Park, Sojin Lee, Markku Kulmala, Tuukka Petäjä, Grzegorz Karasinski, Piotr Sobolewski, Young Jun Yoon, Bang Young Lee, Kiyeon Kim and Hyun S. Kim
In this study, more accurate information on the levels of aerosol optical depth (AOD) was calculated from the assimilation of the modeled AOD based on the optimal interpolation method. Additionally, more realistic levels of surface particulate matters ov...
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Nengcheng Chen, Meijuan Yang, Wenying Du and Min Huang
The satellite-retrieved Aerosol Optical Depth (AOD) is widely used to estimate the concentrations and analyze the spatiotemporal pattern of Particulate Matter that is less than or equal to 2.5 microns (PM2.5), also providing a way for the related researc...
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Sara Karami, Dimitris G. Kaskaoutis, Saviz Sehat Kashani, Mehdi Rahnama and Alireza Rashki
This study investigates four types of synoptic dust events in the Middle East region, including cyclonic, pre-frontal, post-frontal and Shamal dust storms. For each of these types, three intense and pervasive dust events are analyzed from a synoptic mete...
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Héctor Navarro-Barboza,Aldo Moya-Álvarez,Ana Luna,Octavio Fashé-Raymundo
Pág. 71 - 86
This study assesses the influence of PM10 on the optical thickness of aerosols in the central Andes of Peru, in addition to analyzing and establishing their circulation patterns from July to October 2017. This particular period is considered herein becau...
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Alexander S. Brand and Ebenezer O. Fanijo
The type of steel furnace slag (SFS), including electric arc furnace (EAF) slag, basic oxygen furnace (BOF) slag, ladle metallurgy furnace (LMF) slag, and argon oxygen decarburization (AOD) slag, can significantly affect the composite properties when use...
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Roberto Magueta, Sara Teodoro, Daniel Castanheira, Adão Silva, Rui Dinis and Atílio Gameiro
This paper considers a multiuser broadband uplink massive multiple input multiple output (MIMO) millimeter-wave (mmWave) system. The constant envelope orthogonal frequency division multiplexing (CE-OFDM) is adopted as a modulation technique to allow an e...
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