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Leonid Kostenko,Tetiana Symonenko
Pág. 24 - 29
The article considers statistical laws of scientific communications and describes the phenomena and processes of self-organization in library science, science of science, and linguistics. Synergetics is chosen as the methodological basis of research.The ...
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Jacobien Niebuur, Aart C. Liefbroer, Nardi Steverink and Nynke Smidt
Currently, no valid scales exist to compare volunteer motivations between volunteers and non-volunteers. We aimed to adapt the Dutch version of the Volunteer Functions Inventory (VFI) in order to make it applicable for the comparison of volunteer motivat...
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Pág. 12 - 18
The subject of the research is to predict the queue length for the communication device of a high-speed computer network with non-Gaussian traffic. The goal of this article is to examine the probabilities of the application of time scales used to study t...
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Okjeong Lee and Sangdan Kim
In this study, future probable maximum precipitations (PMPs) based on future meteorological variables produced from three regional climate models (RCMs) of 50-km spatial resolution provided by Coordinated Regional Climate Downscaling Experiment (CORDEX) ...
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Martin Rypdal, Hege-Beate Fredriksen, Eirik Myrvoll-Nilsen, Kristoffer Rypdal and Sigrunn H. Sørbye
Earth’s global surface temperature shows variability on an extended range of temporal scales and satisfies an emergent scaling symmetry. Recent studies indicate that scale invariance is not only a feature of the observed temperature fluctuations, b...
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Qingming Zhang and Buhai Shi
This paper presents a novel method to extract local features, which instead of calculating local extrema computes global maxima in a discretized scale-space representation. To avoid interpolating scales on few data points and to achieve perfect rotation ...
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Ângela Leite, Anabela Rodrigues and Sílvia Lopes
Brand experience, brand love, and brand behavior outcomes hold significant importance in management research. Their relevance extends to shaping strategic decision-making, fostering a customer-centric approach, and providing insights into the competitive...
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Ibrahim Furkan Ince
Human activity recognition (HAR) has been an active area in computer vision with a broad range of applications, such as education, security surveillance, and healthcare. HAR is a general time series classification problem. LSTMs are widely used for time ...
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Fereshteh S. Bashiri, Reihaneh Rostami, Peggy Peissig, Roshan M. D?Souza and Zeyun Yu
With the rapid expansion of applied 3D computational vision, shape descriptors have become increasingly important for a wide variety of applications and objects from molecules to planets. Appropriate shape descriptors are critical for accurate (and effic...
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Ende Wang, Jinlei Jiao, Jingchao Yang, Dongyi Liang and Jiandong Tian
Keypoint matching is of fundamental importance in computer vision applications. Fish-eye lenses are convenient in such applications that involve a very wide angle of view. However, their use has been limited by the lack of an effective matching algorithm...
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Rong Wang, Zongzhi Gao, Qifeng Li, Chunjiang Zhao, Ronghua Gao, Hongming Zhang, Shuqin Li and Lu Feng
Natural breeding scenes have the characteristics of a large number of cows, complex lighting, and a complex background environment, which presents great difficulties for the detection of dairy cow estrus behavior. However, the existing research on cow es...
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Jaeyoung Song and Kiyun Yu
This paper presents a new framework to classify floor plan elements and represent them in a vector format. Unlike existing approaches using image-based learning frameworks as the first step to segment the image pixels, we first convert the input floor pl...
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Ching-Min Chang, Kuo-Chen Ma and Mo-Hsiung Chuang
Predicting the effects of changes in dissolved input concentration on the variability of discharge concentration at the outlet of the catchment is essential to improve our ability to address the problem of surface water quality. The goal of this study is...
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Bo Yang, Xiaosu Xu, Jun Li and Hong Zhang
Landmark generation is an essential component in landmark-based visual place recognition. In this paper, we present a simple yet effective method, called multi-scale sliding window (MSW), for landmark generation in order to improve the performance of pla...
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José L. Valencia, Ana M. Tarquis, Antonio Saa, María Villeta and José M. Gascó
Rainfall, one of the most important climate variables, is commonly studied due to its great heterogeneity, which occasionally causes negative economic, social, and environmental consequences. Modeling the spatial distributions of rainfall patterns over w...
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Hongxing Deng, Wen Wen and Wenhui Zhang
The structural characteristics of an urban road network directly affect the urban road network?s overall function and service level. Because the hierarchical division and layout form of an urban road network has self-similarity and scale invariance, the ...
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Jin-A Lee and Keun-Chang Kwak
Analyzing the condition and function of the heart is very important because cardiovascular diseases (CVDs) are responsible for high mortality rates worldwide and can lead to strokes and heart attacks; thus, early diagnosis and treatment are important. Ph...
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Ângela Leite, Ana Costa, Beatriz Ribeiro, Carolina Fonseca, Inês Ribeiro, Joana Mesquita and Sara Ribeiro
This study aims to evaluate if the relation between love life satisfaction, assessed by the satisfaction with love life scale (SWLLS), and capacity to love, assessed by the capacity to love inventory (CTL-I), is moderated by gender and by being or not in...
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Kewei Ouyang, Yi Hou, Shilin Zhou and Ye Zhang
Recently, some researchers adopted the convolutional neural network (CNN) for time series classification (TSC) and have achieved better performance than most hand-crafted methods in the University of California, Riverside (UCR) archive. The secret to the...
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Gennadiy V. Averin,Anna V. Zviagintseva,Igor S. Konstantinov,Angela A. Shvetsova
It is proposed to use the principle of corresponding states and the principle of distance invariance in multidimensional phase spaces to create models of systems of various nature based on experimental or statistical information presented in the form of ...
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