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Zhenggang Wang, Xuantong Li, Jin Jin, Zhong Liu and Wei Liu
Irregular shape clustering is always a difficult problem in clustering analysis. In this paper, by analyzing the advantages and disadvantages of existing clustering analysis algorithms, a new neighborhood density correlation clustering (NDCC) algorithm f...
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Donghwi Jung, Young Hwan Choi, Joong Hoon Kim
Pág. 1 - 23
This study proposes variable balancing approaches for the exploration (diversification) and exploitation (intensification) of the non-dominated sorting genetic algorithm-II (NSGA-II) with simulated binary crossover (SBX) and polynomial mutation (PM) in t...
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Yiting Yin, Ailin Diao, Ziyi Li, Qi Wang and Shuguang Liu
In this paper, we designed an automatic ground cleaning machine for the dedusting rooms of chicken houses to replace the manual daily cleaning of dust particles and fluff. The machine mainly comprised a power system, control system, frame and walking str...
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Mario Carta, Tiziano Ghisu and Shahrokh Shahpar
Due to the increasingly high turbine inlet temperatures, heat transfer analysis is now, more than ever, a vital part of the design and optimization of high-pressure turbine rotor blades of a modern jet engine. The present study aimed to find out how shap...
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Vittorio Maniezzo and Tingting Zhou
The performance of optimization algorithms, and consequently of AI/machine learning solutions, is strongly influenced by the setting of their hyperparameters. Over the last decades, a rich literature has developed proposing methods to automatically deter...
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Rahmeh Ibrahim, Rawan Ghnemat and Qasem Abu Al-Haija
Convolutional Neural Networks (CNNs) have exhibited remarkable potential in effectively tackling the intricate task of classifying MRI images, specifically in Alzheimer?s disease detection and brain tumor identification. While CNNs optimize their paramet...
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Szidónia Lefkovits, László Lefkovits and László Szilágyi
Automatic brain tumor segmentation from multimodal MRI plays a significant role in assisting the diagnosis, treatment, and surgery of glioblastoma and lower glade glioma. In this article, we propose applying several deep learning techniques implemented i...
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Benjamin Belfort, Ivan Toloni, Philippe Ackerer, Solenn Cotel, Daniel Viville and François Lehmann
The characterization of vadose zone processes is a primary goal for understanding, predicting, and managing water resources. In this study, the issue of soil water monitoring on a vertical profile in the small forested Strengbach catchment (France) is in...
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Benjamin Belfort, Ivan Toloni, Philippe Ackerer, Solenn Cotel, Daniel Viville and François Lehmann
The characterization of vadose zone processes is a primary goal for understanding, predicting, and managing water resources. In this study, the issue of soil water monitoring on a vertical profile in the small forested Strengbach catchment (France) is in...
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Shailesh Kumar Singh and András Bárdossy
It is always a dream of hydrologists to model the mystery of complex hydrological processes in a precise way. If parameterized correctly, a simple hydrological model can represent nature very accurately. In this study, a simple and effective optimization...
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Yong Zhu, Tao Zhou, Shengnan Tang and Shouqi Yuan
Hydraulic axial piston pumps are the power source of fluid power systems and have important applications in many fields. They have a compact structure, high efficiency, large transmission power, and excellent flow variable performance. However, the cruci...
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Abdellatif Moussaid, Sanaa El Fkihi, Yahya Zennayi, Ouiam Lahlou, Ismail Kassou, François Bourzeix, Loubna El Mansouri and Yasmina Imani
The overall goal of this study is to define an intelligent system for predicting citrus fruit yield before the harvest period. This system uses a machine learning algorithm trained on historical field data combined with spectral information extracted fro...
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Eleni Savvidou, Andreas Efstratiadis, Antonis D. Koussis, Antonis Koukouvinos and Dimitrios Skarlatos
In this paper, a new methodology for delineating Hydrological Response Units (HRUs), based on the Curve Number (CN) concept, is presented. Initially, a semi-automatic procedure in a GIS environment is used to produce basin maps of distributed CN values a...
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Eleni Savvidou, Andreas Efstratiadis, Antonis D. Koussis, Antonis Koukouvinos and Dimitrios Skarlatos
In this paper, a new methodology for delineating Hydrological Response Units (HRUs), based on the Curve Number (CN) concept, is presented. Initially, a semi-automatic procedure in a GIS environment is used to produce basin maps of distributed CN values a...
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Aristoteles Tegos, Nikolaos Malamos, Andreas Efstratiadis, Ioannis Tsoukalas, Alexandros Karanasios, Demetris Koutsoyiannis
Pág. 1 - 22
We present and validate a global parametric model of potential evapotranspiration (PET) with two parameters that are estimated through calibration, using as explanatory variables temperature and extraterrestrial radiation. The model is tested over the gl...
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Aristoteles Tegos, Nikolaos Malamos, Andreas Efstratiadis, Ioannis Tsoukalas, Alexandros Karanasios and Demetris Koutsoyiannis
We present and validate a global parametric model of potential evapotranspiration (PET) with two parameters that are estimated through calibration, using as explanatory variables temperature and extraterrestrial radiation. The model is tested over the gl...
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Fabien Leurent, Xiaoyan Xie
Pág. 45 - 54
Passengers? walking speed and walking distance along an urban rail transit line are two key factors in the Quality of Service of a public transit system (TCQSM, 2013). Therefore, variability in both walking speed and distance partially causes that in jou...
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Zhengyuan Liu, Junfang Xia, Guoyang Liu, Jian Cheng, Youshuai Wei and Dinyang Xie
In order to solve the problems of poor seed filling performance and the low compensation accuracy of large- and medium-sized missed seeding compensation devices under medium- to high-speed conditions, a pneumatic missed seeding automatic compensation sys...
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