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Publikováno v:
Heliyon, Vol 5, Iss 8, Pp e02205- (2019)
Aim of the study: Augmented reality (AR) has the potential to offer a novel approach to CPR training that supplements conventional training methods with gamification and a more interactive learning experience. This is done through computer-generated
Externí odkaz:
https://doaj.org/article/633d1572579a425ab68f31acd12f3ea7
Publikováno v:
Heliyon, Vol 5, Iss 8, Pp e02169- (2019)
Collisions arising from lane departures have contributed to traffic accidents causing millions of injuries and tens of thousands of casualties per year worldwide. Many related studies had shown that single vehicle lane departure crashes accounted lar
Externí odkaz:
https://doaj.org/article/d699b66eac794f61b168f295bab2ca01
Publikováno v:
Heliyon, Vol 5, Iss 8, Pp e02310- (2019)
In recent years, a variety of research fields, including finance, have begun to place great emphasis on machine learning techniques because they exhibit broad abilities to simulate more complicated problems. In contrast to the traditional linear regr
Externí odkaz:
https://doaj.org/article/e06202b2da7e4de89286d41e6e73eb23
Autor:
Aykut Zongur
Publikováno v:
Heliyon, Vol 5, Iss 8, Pp e02297- (2019)
In this work, a rasterized mesh construction of our 3D solid-state model is generated to achieve an improved rasterization of a rigid-body surface using a series of polygonal model transfers. In the field of remodeling, auxiliary starters have been o
Externí odkaz:
https://doaj.org/article/8083ebc2ff484b6582240dea53855bfd
Autor:
A. Elkholy, A.A. Abou El-Ela
Publikováno v:
Heliyon, Vol 5, Iss 7, Pp e02137- (2019)
This paper introduces a proposed approach to estimate the optimal parameters of the photovoltaic (PV) modules using in-field outdoor measurements and manufacturers' datasheet as well as employing the nonlinear least-squares fitting algorithm. The mai
Externí odkaz:
https://doaj.org/article/93c729506bbc46e1ba96d6dc38c0fe60
Publikováno v:
Heliyon, Vol 5, Iss 7, Pp e02066- (2019)
The growing demand for computational power has led to the emergence of large-scale data centers that consume massive amounts of energy, thus resulting in high operating costs and CO2 emission. Furthermore, cloud computing environments are required to
Externí odkaz:
https://doaj.org/article/80850ba92ce64c71a44557d242f40d31
Autor:
Thitima Panyayai, Chumpol Ngamphiw, Sissades Tongsima, Wuttichai Mhuantong, Wachira Limsripraphan, Kiattawee Choowongkomon, Orathai Sawatdichaikul
Publikováno v:
Heliyon, Vol 5, Iss 7, Pp e02076- (2019)
Background: Bioactive peptides derived from food are important sources for alternative medicine and possess therapeutic activity. Several biochemical methods have been achieved to isolate bioactive peptides from food, which are tedious and time consu
Externí odkaz:
https://doaj.org/article/45a1ae399af044518268789ac5a32644
Autor:
Pooja Rani, G.S. Mahapatra
Publikováno v:
Heliyon, Vol 5, Iss 7, Pp e02082- (2019)
This paper presents software fault detection, which is dependent upon the effectiveness of the testing and debugging team. A more skilled testing team can achieve higher rates of debugging success, and thereby removing a larger fraction of faults ide
Externí odkaz:
https://doaj.org/article/af2342b7e01647698e2225f4235a4b20
Autor:
Goran Livazović, Emanuela Ham
Publikováno v:
Heliyon, Vol 5, Iss 6, Pp e01992- (2019)
The paper examines the role of socioeconomic status, family, parenting styles, peer relations and school factors in cyber-bullying with focus on emotional consequences. A survey was conducted with 259 participants (202 female) aged 19–25. 58,1% exp
Externí odkaz:
https://doaj.org/article/a2ccdb7110634c5382c86f89179a698c
Autor:
Alireza Sarvari, Sayyed Majid Mazinani
Publikováno v:
Heliyon, Vol 5, Iss 6, Pp e01879- (2019)
Several tunnel fire detection and fighting systems are currently available in the market, each with its own pros and cons. Although no single system is perfect, the water mist system is one of the top-performing conventional tunnel fire suppression s
Externí odkaz:
https://doaj.org/article/276bd321ffdd427587ed1ff2b8544e66