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Wandile Nhlapho, Marcellin Atemkeng, Yusuf Brima and Jean-Claude Ndogmo
The advent of deep learning (DL) has revolutionized medical imaging, offering unprecedented avenues for accurate disease classification and diagnosis. DL models have shown remarkable promise for classifying brain tumors from Magnetic Resonance Imaging (M...
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Livia Della Ragione, Meccariello Giovanni
Pág. 3179 - 3188
Transport activities contribute significantly to the air pollution and its impact on emissions is a key element in the evaluation of any transport policy or plan. Calculation of emissions has therefore gained institutional importance in the European Comm...
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Min Yue and Shuhong Ma
A crucial component of multimodal transportation networks and long-distance travel chains is the forecasting of transfer passenger flow between integrated hubs in urban agglomerations, particularly during periods of high passenger flow or unusual weather...
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Yulu Hao, Mengdi Li, Jianyu Wang, Xiangyu Li and Junmin Chen
The development and functional perfection of urban areas have led to increasingly severe fire risks in recent decades. Previous urban fire risk assessment methods relied on subjective judgment, rough data collection, simple linear statistical methods, et...
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Giancarlo C. Righini and Jesús Liñares
Ion exchange in glass has a long history as a simple and effective technology to produce gradient-index structures and has been largely exploited in industry and in research laboratories. In particular, ion-exchanged waveguide technology has served as an...
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Camilo Riano-Rios, Alberto Fedele and Riccardo Bevilacqua
In this paper, relative orbit and attitude adaptive controllers are integrated to perform roto-translational maneuvers for CubeSats equipped with a Drag Maneuvering Device (DMD). The DMD enables the host CubeSat with modulation of aerodynamic forces/torq...
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Wenwen Wang, Mingyu Wu, Zhihua Chen and Xiaoli Liu
This study applies deep-reinforcement-learning algorithms to integrated guidance and control for three-dimensional, high-maneuverability missile-target interception. Dynamic environment, reward functions concerning multi-factors, agents based on the deep...
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Gregorius Ryan, Pricillia Katarina and Derwin Suhartono
The rise of social media as a platform for self-expression and self-understanding has led to increased interest in using the Myers?Briggs Type Indicator (MBTI) to explore human personalities. Despite this, there needs to be more research on how other wor...
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Elias S. Leggesse, Fasikaw A. Zimale, Dagnenet Sultan, Temesgen Enku, Raghavan Srinivasan and Seifu A. Tilahun
Water quality degradation of freshwater bodies is a concern worldwide, particularly in Africa, where data are scarce and standard water quality monitoring is expensive. This study explored the use of remote sensing imagery and machine learning (ML) algor...
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Himangshu Kalita, Alvaro Diaz-Flores and Jekan Thangavelautham
Missions targeting the extreme and rugged environments on the moon and Mars have rich potential for a high science return, although several risks exist in performing these exploration missions. The current generation of robots is unable to access these h...
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Frans J. Jorissen, Marie P. A. Fouet, David Singer and Hélène Howa
In this paper, we propose a marine influence index (MII), which is thought to give an integrated quantitative description of the complex of the environmental parameters controlling the foraminiferal fauna in estuarine intertidal mudflats. The MII contain...
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Miaomiao Hou, Xiaofeng Hu, Jitao Cai, Xinge Han and Shuaiqi Yuan
Crime issues have been attracting widespread attention from citizens and managers of cities due to their unexpected and massive consequences. As an effective technique to prevent and control urban crimes, the data-driven spatial?temporal crime prediction...
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Chunxia Wang, Jun Bi, Qiuyue Sai and Zun Yuan
With the development of the sharing economy, carsharing is a major achievement in the current mode of transportation in sharing economies. Carsharing can effectively alleviate traffic congestion and reduce the travel cost of residents. However, due to th...
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Gangfeng Wu, Ying-Tien Lin, Ping Dong and Kefeng Zhang
In this study, a two-dimensional depth-integrated non-hydrostatic wave model is developed. The model solves the governing equations with hydrostatic and non-hydrostatic pressure separately. The velocities under hydrostatic pressure conditions are firstly...
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Gisley Paula Vidolin,Daniela Biondi Batista,Adilson Wandembruck
Pág. 509 - 519
This study valuated the landscape of Lageado Grande farm (LGF), an area of 3,136.32 ha, located in General Carneiro, Palmas, and Bituruna, Paraná state, Brazil. The evaluation was based on an integral analysis of the ecological requirements of Tayassu pe...
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Jacob B. Herridge, Konstantinos Tsiminis, Jonas Winzen, Arya Assadi-Langroudi, Michael McHugh, Soheil Ghadr and Sohrab Donyavi
Uncertainty in ground datasets often stems from spatial variability of soil parameters and changing groundwater regimes. In urban settings and where engineering ground interventions need to have minimum and well-anticipated ground movements, uncertainty ...
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Tiziana Di Lorenzo and Diana Maria Paola Galassi
The average global temperature is predicted to increase by 3 °C by the end of this century due to human-induced climate change. The overall metabolism of the aquatic biota will be directly affected by rising temperatures and associated changes. Since the...
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Yanfeng Zhang, Yunbao Huang, Haiyan Li, Pu Li and Xi?an Fan
We propose a new iterative greedy algorithm to reconstruct sparse signals in Compressed Sensing. The algorithm, called Conjugate Gradient Hard Thresholding Pursuit (CGHTP), is a simple combination of Hard Thresholding Pursuit (HTP) and Conjugate Gradient...
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Chunru Cheng, Linbing Wang, Xingye Zhou and Xudong Wang
As the main cause of asphalt pavement distress, rutting severely affects pavement safety. Establishing an accurate rutting prediction model is crucial for asphalt pavement maintenance, pavement structure design, and pavement repair. This study explores f...
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Yizhe Wu, Huanling Wang and Xinyan Guo
In constructing hydraulic tunnels, construction disturbances and complex geological conditions can induce variations in the surrounding rock parameters. To navigate the complex non-linear interplay between rock material parameters and tunnel displacement...
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