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Adewole Adewumi, Sanjay Misra and Robertas Dama?evicius
We perform a theoretical and empirical analysis of a set of Cascading Style Sheets (CSS) document complexity metrics. The metrics are validated using a practical framework that demonstrates their viability. The theoretical analysis is performed using the...
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Adam B. Birchfield, Eran Schweitzer, Mir Hadi Athari, Ti Xu, Thomas J. Overbye, Anna Scaglione and Zhifang Wang
Public power system test cases that are of high quality benefit the power systems research community with expanded resources for testing, demonstrating, and cross-validating new innovations. Building synthetic grid models for this purpose is a relatively...
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Markus C. Casper, Zoé Salm, Oliver Gronz, Christopher Hutengs, Hadis Mohajerani and Michael Vohland
The land-use-specific calibration of evapotranspiration parameters in hydrologic modeling is challenging due to the lack of appropriate reference data. We present a MODIS-based calibration approach of vegetation-related evaporation parameters for two mes...
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Guilherme Perin, Lichao Wu and Stjepan Picek
The adoption of deep neural networks for profiling side-channel attacks opened new perspectives for leakage detection. Recent publications showed that cryptographic implementations featuring different countermeasures could be broken without feature selec...
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Owen Tamin, Ervin Gubin Moung, Jamal Ahmad Dargham, Farashazillah Yahya, Ali Farzamnia, Florence Sia, Nur Faraha Mohd Naim and Lorita Angeline
Plastic waste is a growing environmental concern that poses a significant threat to onshore ecosystems, human health, and wildlife. The accumulation of plastic waste in oceans has reached a staggering estimate of over eight million tons annually, leading...
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Christof Hammer, Sebastian Sporrer, Johannes Warmer, Peter Kaul, Ronald Thoelen and Norbert Jung
The following work presents algorithms for semi-automatic validation, feature extraction and ranking of time series measurements acquired from MOX gas sensors. Semi-automatic measurement validation is accomplished by extending established curve similarit...
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E. Diuldin,K.S. Zaytsev
Pág. 3 - 10
The purpose of this work is to study methods for detecting malicious domains generated using DGA algorithms. To solve this problem, proposed to create a deep learning architecture based on the Tensorflow framework, and implement layers based on the Keras...
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E. Diuldin,K.S. Zaytsev
Pág. 3 - 10
The purpose of this work is to study methods for detecting malicious domains generated using DGA algorithms. To solve this problem, proposed to create a deep learning architecture based on the Tensorflow framework, and implement layers based on the Keras...
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Manish Kumar Pandey, Anu Saini, Karthikeyan Subbiah, Nalini Chintalapudi and Gopi Battineni
Globally, smart cities, infrastructure, and transportation have led to a rise in vehicle numbers, resulting in an increasing number of problems. This includes problems such as air pollution, noise pollution, high energy consumption, and people?s health. ...
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Georg May, Koen Devesse, Ajay Rangarajan and Thierry Magin
We present a high-order consistent compressible flow solver, based on a hybridized discontinuous Galerkin (HDG) discretization, for applications covering subsonic to hypersonic flow. In the context of high-order discretization, this broad range of applic...
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Georgios Amponis, Thomas Lagkas, Panagiotis Sarigiannidis, Vasileios Vitsas and Panagiotis Fouliras
With the development of more advanced and efficient control algorithms and communication architectures, UAVs and networks thereof (swarms) now find applications in nearly all possible environments and scenarios. There exist numerous schemes which accommo...
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Byung C. Jung, Yun-Ho Shin, Sang Hyuk Lee, Young Cheol Huh and Hyunseok Oh
For model verification and validation (V & V) in computational mechanics, a hypothesis test for the validity check (HTVC) is useful, in particular, with a limited number of experimental data. However, HTVC does not address how type I and II errors ca...
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Gergo Bognár
Pág. 1 - 7
In this paper a no-reference image quality metric designed for human lung CT scans is presented. The metric can be used for several purposes, including the evaluation of visual quality of CT scans or controlling enhancement processes. The developed metho...
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Sam D. Weller, Philipp R. Thies, Tessa Gordelier and Lars Johanning
Technology Readiness Levels (TRLs) are a widely used metric of technology maturity and risk for marine renewable energy (MRE) devices. To-date, a large number of device concepts have been proposed which have reached the early validation stages of develop...
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Jianyong Zhang, Yanling Zhao, Zhenqi Hu and Wu Xiao
Rapid estimation of above-ground biomass (AGB) with high accuracy is essential for monitoring crop growth status and predicting crop yield. Recently, remote sensing techniques using unmanned aerial systems (UASs) have exhibited great potential in obtaini...
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Ulises Manuel Ramirez-Alcocer, Edgar Tello-Leal, Gerardo Romero and Bárbara A. Macías-Hernández
In this paper, we propose a deep learning-based approach to predict the next event in hospital organizational process models following the guidance of predictive process mining. This method provides value for the planning and allocating of resources sinc...
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Juan Ochoa-Aldeán and Carlos Silva-Cárdenas
Wireless mesh networks (WMNs) offer a pragmatic solution with a cost-effective ratio when provisioning ubiquitous broadband internet access and diverse telecommunication systems. The conceptual underpinning of mesh networks finds application not only in ...
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Josephine Roper, Matthew Ng, Christopher Pettit
Pág. 361 - 387
In this paper, we argue for an explicit decoupling of ?walkability? and ?walking behavior? and for the advantages of a definition of walkability based on access. This provides impetus for a new approach to constructing and using walkability indices, comb...
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Dhan Lord B. Fortela, Armani Travis, Ashley P. Mikolajczyk, Wayne Sharp, Emmanuel Revellame, William Holmes, Rafael Hernandez and Mark E. Zappi
Wastewater (WW) analysis is a critical step in various operations, such as the control of a WW treatment facility, and speeding up the analysis of WW quality can significantly improve such operations. This work demonstrates the capability of neural netwo...
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Hichem Tahraoui, Selma Toumi, Amel Hind Hassein-Bey, Abla Bousselma, Asma Nour El Houda Sid, Abd-Elmouneïm Belhadj, Zakaria Triki, Mohammed Kebir, Abdeltif Amrane, Jie Zhang, Amin Aymen Assadi, Derradji Chebli, Abdallah Bouguettoucha and Lotfi Mouni
Monitoring stations have been established to combat water pollution, improve the ecosystem, promote human health, and facilitate drinking water production. However, continuous and extensive monitoring of water is costly and time-consuming, resulting in l...
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