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J. Scott Thompson, Douglas D. Hodson, Michael R. Grimaila, Nicholas Hanlon and Richard Dill
Is it possible to develop a meaningful measure for the complexity of a simulation model? Algorithmic information theory provides concepts that have been applied in other areas of research for the practical measurement of object complexity. This article o...
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Do Hoai Nam, Phan Cao Duong, Duong Hai Thuan, Dang Thanh Mai and Nguyen Quoc Dung
Global warming is becoming more serious and causing changes in rainfall pattern and runoff regime in most river basins. Exploration of the changes will help develop appropriate management and adaptation strategies. This study presents an assessment of ch...
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Lilai Jin, Sarah J. Higgins, James A. Thompson, Michael P. Strager, Sean E. Collins and Jason A. Hubbart
Saturated hydraulic conductivity (Ksat) is a hydrologic flux parameter commonly used to determine water movement through the saturated soil zone. Understanding the influences of land-use-specific Ksat on the model estimation error of water balance compon...
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Huizhong Xiong, Xiaotong Gao, Ningyi Zhang, Haoxiong He, Weidong Tang, Yingqiu Yang, Yuqian Chen, Yang Jiao, Yihong Song and Shuo Yan
A novel deep learning model, DiffuCNN, is introduced in this paper, specifically designed for counting tobacco lesions in complex agricultural settings. By integrating advanced image processing techniques with deep learning methodologies, the model signi...
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Hexin Lu, Xiaodong Zhu, Jingwei Cui and Haifeng Jiang
The process of iris recognition can result in a decline in recognition performance when the resolution of the iris images is insufficient. In this study, a super-resolution model for iris images, namely SwinGIris, which combines the Swin Transformer and ...
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Yuzhe Bai, Fengjun Hou, Xinyuan Fan, Weifan Lin, Jinghan Lu, Junyu Zhou, Dongchen Fan and Lin Li
With the widespread application of drone technology, the demand for pest detection and identification from low-resolution and noisy images captured with drones has been steadily increasing. In this study, a lightweight pest identification model based on ...
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Dexiao Kong, Jiayi Wang, Qinghui Zhang, Junqiu Li and Jian Rong
Automated fruit-picking equipment has the potential to significantly enhance the efficiency of picking. Accurate detection and localization of fruits are particularly crucial in this regard. However, current methods rely on expensive tools such as depth ...
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Christos Makris, Zisis Mallios, Yannis Androulidakis and Yannis Krestenitis
Storm surges due to severe weather events threaten low-land littoral areas by increasing the risk of seawater inundation of coastal floodplains. In this paper, we present recent developments of a numerical modelling system for coastal inundation induced ...
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Qiuling Tang and Wanfeng Dou
Calculating the least-cost path (LCP) is a fundamental operation in raster-based geographic information systems (GIS). The LCP is applied to raster cost surfaces, in which it determines the most cost-effective path. Increasing the raster resolution resul...
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Zhongzhi Jiang and Qiliang Ni
A cross strip (XS) anode detector is a photon-counting imaging detector with high spatial resolution. However, due to the Poisson distribution characteristics of the photons emitted by the target, photons with a small time interval will cause signal supe...
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Long Li, Qi Li, Zhiyuan Liu and Lin Xue
The research results can quickly and accurately detect defects in the fabric production process.
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Jing Yuan, Bo Yu, Changxiang Yan, Junqiang Zhang, Ning Ding and Youzhi Dong
In this study, a joint selection method of sensitive wavelength, optimal spectral resolution and signal-to-noise ratio of soil water content is proposed, which comprehensively considers the joint influence of spectral wavelength, spectral resolution and ...
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Shulin Zeng, Cuilin Kuang and Wenkun Yu
Modern low-cost electronic devices can achieve high precision for global navigation satellite systems (GNSSs) and related applications. Recently, the pseudo-range and carrier phase have been directly obtained from a smartphone to establish a professional...
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Renata Duraciová and Filip Pru?inec
Solar radiation significantly affects many processes on Earth. In situ measurements are demanding and require a dense network of sensors. A suitable alternative solution could be the modelling of potential solar radiation based on a digital elevation mod...
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Luigi Gifuni, Paola de Ruggiero, Daniela Cianelli, Enrico Zambianchi and Stefano Pierini
The hydrology and circulation in the northwestern part of the Gulf of Naples are analyzed during the transition period from spring to summer (April?June) 2016 through numerical simulations and in situ observations. The simulations were performed with the...
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Ioannis G. Mamoutos, Emmanuel Potiris, Elina Tragou, Vassilis Zervakis and Stamatios Petalas
A new, high-resolution model for the northern part of the Aegean Sea, aimed primarily at climatological research (relaxation and data assimilation-free climate simulations), is hereby presented, along with the results of a 28-year-long simulation coverin...
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Mehmet Ilicak, Ivan Federico, Ivano Barletta, Sabri Mutlu, Haldun Karan, Stefania Angela Ciliberti, Emanuela Clementi, Giovanni Coppini and Nadia Pinardi
The Turkish Strait System, which is the only connection between the Black Sea and the Mediterranean Sea, is a challenging region for ocean circulation models due to topographic constraints and water mass structure. We present a newly developed high resol...
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Ruichen Zhang, Shaofeng Bian and Houpu Li
The digital elevation model (DEM) is known as one kind of the most significant fundamental geographical data models. The theory, method and application of DEM are hot research issues in geography, especially in geomorphology, hydrology, soil and other re...
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Junchen He, Zhili Jin, Wei Wang and Yixiao Zhang
High concentrations of fine particulate matter (PM2.5) are well known to reduce environmental quality, visibility, atmospheric radiation, and damage the human respiratory system. Satellite-based aerosol retrievals are widely used to estimate surface PM2....
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Amr Abd-Elrahman, Feng Wu, Shinsuke Agehara and Katie Britt
Strawberries (Fragaria × ananassa Duch.) are highly perishable fruit. Timely prediction of yield is crucial for labor management and marketing decision-making. This study demonstrates the use of high-resolution ground-based imagery, in addition to previo...
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