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Mngereza Miraji, Jie Liu and Chunmiao Zheng
River basins around the world face similar issues of water scarcity, deficient infrastructure, and great disparities in water availability between sub-regions, both within and between countries. In this study, different strategies under the Water Evaluat...
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Haoyu Lin, Pengkun Quan, Zhuo Liang, Dongbo Wei and Shichun Di
In the context of automatic charging for electric vehicles, collision localization for the end-effector of robots not only serves as a crucial visual complement but also provides essential foundations for subsequent response design. In this scenario, dat...
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Bin Shen, Lingfei Xiao and Zhifeng Ye
In order to solve the problem of full flight envelope control for aircraft engines, the design of a linear parameter-varying (LPV) controller is described in this paper. First, according to the nonlinear aerodynamic model of the aircraft engine, the LPV ...
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Jan Chleboun, Thulio Amorim, Ana Maria Nascimento and Tiago P. Nascimento
In this work, we propose an improved artificially weighted spanning tree coverage (IAWSTC) algorithm for distributed coverage path planning of multiple flying robots. The proposed approach is suitable for environment exploration in cluttered regions, whe...
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Jiajia Fan, Wentao Huang, Qingchao Jiang and Qinqin Fan
For multimodal multi-objective optimization problems (MMOPs), there are multiple equivalent Pareto optimal solutions in the decision space that are corresponding to the same objective value. Therefore, the main tasks of multimodal multi-objective optimiz...
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Hamid Darabi, Ali Danandeh Mehr, Gülsen Kum, Mehmet Emin Sönmez, Cristina Alina Dumitrache, Khadija Diani, Ahmet Celebi and Ali Torabi Haghighi
This study examined the spatiotemporal climate variability over the Ceyhan River basin in Southern Anatolia, Türkiye using historical rainfall and temperature observations recorded at 15 meteorology stations. Various statistical and geostatistical techni...
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Yash Amonkar, James Doss-Gollin and Upmanu Lall
The potential for extreme climate events to cluster in space and time has driven increased interest in understanding and predicting compound climate risks. Through a case study on floods in the Ohio River Basin, we demonstrated that low-frequency climate...
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Maria Papale, Gabriella Caruso, Giovanna Maimone, Rosabruna La Ferla, Angelina Lo Giudice, Alessandro Ciro Rappazzo, Alessandro Cosenza, Filippo Azzaro, Roberta Ferretti, Rodolfo Paranhos, Anderson Souza Cabral, Massimo Caccia, Angelo Odetti, Giuseppe Zappalà, Gabriele Bruzzone and Maurizio Azzaro
Polar marine environments host a complex assemblage of cold-adapted auto- and heterotrophic microorganisms that affect water biogeochemistry and ecosystem functions. However, due to logistical difficulties, remote regions like those in close proximity to...
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Shaona Wang, Yang Liu and Linlin Li
In this study, a novel feature learning method for synthetic aperture radar (SAR) image automatic target recognition is presented. It is based on spatial pyramid matching (SPM), which represents an image by concatenating the pooling feature vectors that ...
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Yuzhuang Wan, Yi Zhong, Yan Huang, Yi Han, Yongqiang Cui, Qi Yang, Zhuo Li, Zhenhui Yuan and Qing Li
Due to the rapid development of deep learning, the performance of object detection has greatly improved. However, object detection in high-resolution Unmanned Aerial Vehicles images remains a challenging problem for three main reasons: (1) the objects in...
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