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Johannes Kroß and Helmut Krcmar
Evaluating and predicting the performance of big data applications are required to efficiently size capacities and manage operations. Gaining profound insights into the system architecture, dependencies of components, resource demands, and configurations...
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Wendso Awa Agathe Ouédraogo, James Messo Raude and John Mwangi Gathenya
The Mkurumudzi River originates in the Shimba hills and runs through Kwale County on the Kenyan Coast. Study on this river has been informed by the many economic activities that the river supports, which include sugarcane plantations, mining, tourism and...
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Mohammad AlHamaydeh, Ahmed Mansour Maky and Mohamed Elkafrawy
Modeling Steel Plate Shear Wall (SPSW) behavior can be computationally demanding. This is especially true when high-fidelity modeling is carried out via shell or 3D solid elements. It has been shown that SPSW behavior can be captured with adequate accura...
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Xinxiang Lei, Wei Chen and Binh Thai Pham
The main purpose of this study was to apply the novel bivariate weights-of-evidence-based SysFor (SF) for landslide susceptibility mapping, and two machine learning techniques, namely the naïve Bayes (NB) and Radial basis function networks (RBFNetwork), ...
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Bruna de Queiroz, Freek Scheel, Sofia Caires, Dirk-Jan Walstra, Derrick Olij, Jeseon Yoo, Ad Reniers and Wiebe de Boer
In process-based numerical models, reducing the amount of input parameters, known as input reduction (IR), is often required to reduce the computational effort of these models and to enable long-term, ensemble predictions. Currently, a comprehensive perf...
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Anna Mariana Situngkir
Pág. 111
Gedongtataan always experiences flooding annually with maximum inundation depth 0.5 m. Flood leads to road congestion. This study had objective to identify of the cause of flood, to assess the performance of drainage, and to propose the improvement optio...
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Williams Gonzales M.
This paper reports results obtained from a theoretical and experimental study of micro channels/louvered fins condensers for automotive applications. A computer model has been developed based upon three zones related to the thermodynamic states of the re...
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Michele Scarpiniti, Enzo Baccarelli, Alireza Momenzadeh and Sima Sarv Ahrabi
The recent introduction of the so-called Conditional Neural Networks (CDNNs) with multiple early exits, executed atop virtualized multi-tier Fog platforms, makes feasible the real-time and energy-efficient execution of analytics required by future Intern...
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Afnan, Khan Muhammad, Noman Khan, Mi-Young Lee, Ali Shariq Imran and Muhammad Sajjad
With the emerging technologies of augmented reality (AR) and virtual reality (VR), the learning process in today?s classroom is much more effective and motivational. Overlaying virtual content into the real world makes learning methods attractive and ent...
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Wendso Awa Agathe Ouédraogo, James Messo Raude and John Mwangi Gathenya
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Asma Foughali, Yves Tramblay, Zoubeida Bargaoui, Julie Carreau and Denis Ruelland
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Shensheng Tang and Yi Xie
Internet of Things (IoT) is improving human life in a more convenient and simpler way. One of the most promising IoT applications is healthcare. In this paper, an availability model of a healthcare IoT system is proposed which is composed of two groups o...
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Joseph Isabona, Agbotiname Lucky Imoize, Oluwasayo Akinloye Akinwumi, Okiemute Roberts Omasheye, Emughedi Oghu, Cheng-Chi Lee and Chun-Ta Li
Benchmarking different optimization algorithms is tasky, particularly for network-based cellular communication systems. The design and management process of these systems involves many stochastic variables and complex design parameters that demand an unb...
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Madison Likins-White, Robert C. Tenent and Zhiqiang (John) Zhai
Insulating glass unit (IGU) degradation has been studied extensively. However, there is limited understanding of how present durability evaluation standards relate to product lifetime. Furthermore, there is debate on how to quantify performance of instal...
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Thomas Reeves, Svetlana Olbina and Raja R. A. Issa
Building energy modeling (BEM), a subset of building information modeling (BIM), integrates energy analysis into the design, construction, and operation and maintenance of buildings. As there are various existing BEM tools available, there is a need to e...
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Omar Alaqeeli and Raad Alturki
The glm R package is commonly used for generalized linear modeling. In this paper, we evaluate the ability of the glm package to predict binomial outcomes using logistic regression. We use single-cell RNA-sequencing datasets, after a series of normalizat...
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Theodore Papatheodorou, John Giannatsis and Vassilis Dedoussis
Data Envelopment Analysis (DEA) is an established powerful mathematical programming technique, which has been employed quite extensively for assessing the efficiency/performance of various physical or virtual and simple or complex production systems, as ...
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Giacomo Bagarella, Filippo Busato, Francesco Castellotti, Andrea D?Ascanio, Renato Lazzarin, Fabio Minchio, Daniele Nardotto, Marco Noro and Lorenzo Zamboni
At the Department of Management and Engineering (DTG) of the University of Padova (Italy), the research team led by Prof. Renato Lazzarin, formed by the authors, worked during the first fifteen years of the millennium on different topics focused on susta...
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Tanuja Shailesh, Ashalatha Nayak and Devi Prasad
Performance is a critical non-functional parameter for real-time systems and performance analysis is an important task making it more challenging for complex real-time systems. Mostly performance analysis is performed after the system development but an ...
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Leyi Shi, Yang Li and Haijie Feng
As one of the active defense technologies, the honeypot deceives the latent intruders to interact with the imitated systems or networks deployed with security mechanisms. Its modeling and performance analysis have not been well studied. In this paper, we...
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