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Yujuan Cao, Jianguo Dai, Guoshun Zhang, Minghui Xia and Zhitan Jiang
This paper combines feature selection with machine learning algorithms to achieve object-oriented classification of crops in Gaofen-6 remote sensing images. The study provides technical support and methodological references for research on regional monit...
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Yu-Hsien Liao and Jih-Gau Juang
Plastic trash can be found anywhere, around the marina, beaches, and coastal areas in recent times. This study proposes a trash dataset called HAIDA and a trash detector that uses a YOLOv4-based object detection algorithm to monitor coastal trash polluti...
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Chengzhe Lv, Yuefeng Lu, Miao Lu, Xinyi Feng, Huadan Fan, Changqing Xu and Lei Xu
In object-oriented remote sensing image classification experiments, the dimension of the feature space is often high, leading to the ?dimension disaster?. If a reasonable feature selection method is adopted, the classification efficiency and accuracy of ...
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Shengyu Zhang, Zhencai Zhu, Haiying Hu and Yuqing Li
Aiming at the task planning and scheduling problem of space object detection LEO constellation (SODLC) for detecting space objects in deep space background, a method of SODLC task satellite selection based on observation window projection analysis is pro...
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Youngwon Ryan Kim, Suhan Park and Gerard J. Kim
In this paper, we propose and explore a touch screen based interaction technique, called the ?Blurry Touch Finger? for EasyVR, a mobile VR platform with non-isolating flip-on glasses that allows the fingers accessible to the screen. We demonstrate 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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Chu He, Mingxia Tu, Dehui Xiong, Feng Tu and Mingsheng Liao
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Lei Ma, Tengyu Fu, Thomas Blaschke, Manchun Li, Dirk Tiede, Zhenjin Zhou, Xiaoxue Ma and Deliang Chen
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Hassan Silkan and Youssef Hanyf
In this paper, we propose a new method for 2D/3D object indexing and retrieval. The principle consists of an automatic selection of optimal views by using an incremental algorithm based on pivot selection techniques for proximity searching in metric spac...
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Viktor Kosenko
Pág. 113 - 119
The subject matter of the study is the processes of planning investment projects for the development of organizations. The goal of this article is to develop an algorithm and software product of the decision support system to select the method of attract...
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Yue Liu, Yang Xiao, Tieshan Li and Yunjie Jia
As an essential part of modern intelligent decision-making science, multi-attribute decision-making problems can effectively select and rank all candidate schemes under multiple indicators. Because of the complexity of the real environment and the uncert...
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Darius Phiri, Matamyo Simwanda, Vincent Nyirenda, Yuji Murayama and Manjula Ranagalage
Decision tree (DT) algorithms are important non-parametric tools used for land cover classification. While different DTs have been applied to Landsat land cover classification, their individual classification accuracies and performance have not been comp...
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Rivanda Putra,Indah Werdiningsih,Ira Puspitasari
Pág. 113 - 121
Abstrak? Penelitian ini bertujuan merancang dan membangun sistem pendukung keputusan untuk pemilihan siswa berprestasi di SMP Taruna Jaya I Surabaya dengan metode VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) dan Technique for Order Prefer...
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Weiquan Fang, Xinzhong Wang, Dianlei Han and Xuegeng Chen
The discrete element method and simulation analysis of the interaction between granular materials and implements provide a convenient and effective method for the optimal design of farming machinery. However, the parameter differences between different m...
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Chunchun Li, Manuel Günther, Akshay Raj Dhamija, Steve Cruz, Mohsen Jafarzadeh, Touqeer Ahmad and Terrance E. Boult
Clustering is a critical part of many tasks and, in most applications, the number of clusters in the data are unknown and must be estimated. This paper presents an Extreme Value Theory-based approach to threshold selection for clustering, proving that th...
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Elisa Levina Rorong,Jullie J. Sondakh,Heince Wokas
Pág. 112 - 129
This research aims to know the influence of financial respect, professional training, professional recognition, social values, working environment, job market considerations and personality partially or together against the accountant career selection by...
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Gra?ina Masionyte
Pág. 599 - 607
crucial importance for corporate activity analysis performance and management decision-making.Object of the study ? to establish shortages of information supply in agricultural enterprise performanceanalysis process and to make proposals to address them....
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Md. Jamal Uddin, Md. Martuza Ahamad, Prodip Kumar Sarker, Sakifa Aktar, Naif Alotaibi, Salem A. Alyami, Muhammad Ashad Kabir and Mohammad Ali Moni
Autism Spectrum Disorder (ASD) is a neurological impairment condition that severely impairs cognitive, linguistic, object recognition, interpersonal, and communication skills. Its main cause is genetic, and early treatment and identification can reduce t...
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Naledzani Mudau and Paidamwoyo Mhangara
Research on the detection of informal settlements has increased in the past three decades owing to the availability of high- to very-high-spatial-resolution satellite imagery. The achievement of development goals, such as the Sustainable Development Goal...
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Xiang Zhao, Hanxuan Wang, Zhongwei Li, Guoliang Dai, Ziwei Yin, Shuning Cao and Junlong Zhou
The excavation of the foundation pit will cause changes in the soil stress field around the foundation pit, and that may have adverse effects on the adjacent subway tunnels. In this paper, a complex deep foundation pit excavated in different sections is ...
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