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Xianlong Dai, Guang Cheng, Ziyang Yu, Ruixing Zhu and Yali Yuan
The results of this paper can be used in the fields related to network measurement, especially in the fields of network traffic sampling, network traffic measurement, and finding top-k elephant flows.
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Pierluigi Crescenzi, Clémence Magnien and Andrea Marino
The harmonic closeness centrality measure associates, to each node of a graph, the average of the inverse of its distances from all the other nodes (by assuming that unreachable nodes are at infinite distance). This notion has been adapted to temporal gr...
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Panagiotis E. Dimitropoulos and Konstantinos Koronios
The goal of this study was to examine the predictability and persistence of earnings of the European football clubs and whether the new Union of European Football Associations (UEFA) Financial Fair Play (FFP) licensing regulation has forced clubs to prod...
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Ishaya John Dabari,Siti Zabedah Saidin
Pág. 96 - 103
The objective of this study is to examine the extent of ERM implementation in the Nigerian banking sector and also evaluated the moderating role of board characteristics on the antecedents and the stage of ERM implementation. The study used a survey appr...
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Bingxiong Tu, Jinhuo Zheng, Minglong Shen and Weilong Ni
In addition to selecting an effective support structure to control deformation, precipitation and water stopping should also be considered when designing a support scheme for water-bearing foundation pits in soft soil areas. This paper presents a detaile...
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S.V. Gavrikova
Pág. 83 - 102
This article examines time series as a data type, its use in the Internet of Things (IoT), and the most popular time series storage platforms (time series databases). Currently, the Internet of Things is in dire need of efficient and optimized time serie...
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Elham Azizi and Loutfouz Zaman
According to the American Humane Association, millions of cats and dogs are lost yearly. Only a few thousand of them are found and returned home. In this work, we use deep learning to help expedite the procedure of finding lost cats and dogs, for which a...
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Elissaios Sarmas, Evangelos Spiliotis, Nikos Dimitropoulos, Vangelis Marinakis and Haris Doukas
Energy efficiency financing is considered among the top priorities in the energy sector among several stakeholders. In this context, accurately estimating the energy savings achieved by energy efficiency actions before being approved and implemented is o...
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Alexey Skorokhodov and Alexander Konoshonkin
This analysis presents the results of observation episodes for high-level clouds consisting of ice crystals with different orientations in space, using the EARLINET lidar network and MODIS data over Europe from 2015 to 2022. The technique used involves i...
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Iskid Jacquet, Jieyong Wang, Jianjun Zhang, Ke Wang and Sen Liang
Benin is an underdeveloped country whose economy is dependent on agriculture, principally cotton production. Kandi is a community in the country?s northeast region, and is regarded as one of Benin?s top four cotton-producing communities. This community h...
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Roger A. Pielke, Sr., Debra P.C. Peters and Dev Niyogi
Ecology and the climate provide two perspectives of the same biogeophysical system at all spatiotemporal scales More effectively embracing this congruence is an opportunity to improve scientific understanding and predictions as well as for a more effecti...
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Toufiq Nazrul, Adam Esplin, Kevin E. Dow and David M. Folsom
This paper examines how individual religiosity at the top level of organizations affects the quality of their disclosure practices, as measured by the readability of annual reports. Our paper extends the recent accounting and finance literature that move...
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Octavio Loyola-González, Emilio Francisco Ferreira Mehnert, Aythami Morales, Julian Fierrez, Miguel Angel Medina-Pérez and Raúl Monroy
We study the impact of minutiae errors in the performance of latent fingerprint identification systems. We perform several experiments in which we remove ground-truth minutiae from latent fingerprints and evaluate the effects on matching score and rank-n...
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Thomas Günter Fischer, Christopher Krauss and Alexander Deinert
Machine learning research has gained momentum?also in finance. Consequently, initial machine-learning-based statistical arbitrage strategies have emerged in the U.S. equities markets in the academic literature, see e.g., Takeuchi and Lee (2013); Moritz a...
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Loan Thi-Hong Van and Phuong Anh Nguyen
This study explored the influence of factors on the implementation of corporate social responsibility (CSR) in companies. The study used a quantitative approach in which a survey was conducted. The final 250 among various respondents in the textile and g...
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Abdul Samad Dahri,Ahmaed Al-Athwari,Azham Hussain
Pág. pp. 213 - 225
Purpose: This study endorses AI enabled Mobile Health application and investigates usability evaluation of the Mobile Health application by patients? task performance evaluation and satisfaction.Materials and Methods: International Organization for Stand...
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Hamid Hazim Majid
Pág. 47 - 52
Human resources (HR) represent the core of any organization. The way the human resources activities are understood, managed, standardised and mentored is vital for the survival, development and success of any organization in market competitions. In the d...
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Nima Ahmadi, Sajad Rezazadeh, Abdolrahman Dadvand, Iraj Mirzaee
Pág. 97 - 105
This study focuses on the effect of gas channels geometry on the performance of polymer electrolyte membrane fuel cell. A set of empirical tests are accomplished to study these effects. The cross section of the gas channel is changed from square to inver...
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Mohamad Farhan Mohamad Mohsin,Mohd Noor Abdul Hamid,Nurakmal Ahmad Mustaffa,Razamin Ramli,Kamarudin Abdullah
Pág. pp. 140 - 152
CSR UUMWiFi is a CSR project under Universiti Utara Malaysia (UUM) that provides unlimited free internet connection for the Changlun community. Launched in 2015, the service has accumulated a huge number of users with diverse background and interest. Thi...
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Bogdan Dumitrescu and Ciprian Doru Giurcaneanu
Finding the size of the dictionary is an open issue in dictionary learning (DL). We propose an algorithm that adapts the size during the learning process by using Information Theoretic Criteria (ITC) specialized to the DL problem. The algorithm is built ...
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