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Peter Tapak, Michal Kocur, Matej Rabek and Juraj Matej
This paper presents the major outcomes of the utilization of smart phone applications in the periodical technical inspection process. Road safety is one of the main topics in transportation. Technical defects of vehicles can play an important role in fat...
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Kaixuan Zhang, Dongbao Zhao, Linlin Feng and Lianhai Cao
The popularization of smart phones and the large-scale application of location-based services (e.g., exercises, traveling and food delivery via cycling) have resulted in the emergence of massive amounts of personalized cycling trajectory data, spurring t...
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Luhung Ahmad Perguna,Idris Idris,Ahmad Arif Widianto
Pág. pp. 155 - 167
The advance of increasingly sophisticated technology, in the era of the industrial revolution 4.0, led to the patterns of digital economy, artificial intelligence, big data, and robotic, known as the phenomenon of disruptive innovation. This change was a...
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Tinghuai Ma and Fagen Song
With the popularity of location-aware devices (e.g., smart phones), a large number of trajectory data were collected. The trajectory dataset can be used in many fields including traffic monitoring, market analysis, city management, etc. The collection an...
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Heru Susanto, Leu Fang Yie, Fadzliwati Mohiddin, Arief Amier Rahman Setiawan, Parastou Khodaparast Haghi and Desi Setiana
When the world was engulfed by a COVID-19 pandemic crisis, various activities could not be carried out normally. Activities may continue from home during a crisis by the use of a smartphone through the internet, because almost all people have their own s...
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Laxmisha Rai,Zhiyuan Wang,Amila Rodrigo,Zhaopeng Deng,Haiqing Liu
Pág. pp. 103 - 120
With the rapid use of Android OS in mobile devices and related products, face recognition technology is an essential feature, so that mobile devices have a strong personal identity authentication. In this paper, we propose Android based software developm...
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Yen-Cheng Chu, Yun-Jie Jhang, Tsung-Ming Tai and Wen-Jyi Hwang
The objective of this study is to present novel neural network (NN) algorithms and systems for sensor-based hand gesture recognition. The algorithms are able to classify accurately a sequence of hand gestures from the sensory data produced by acceleromet...
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Athanasios Alexopoulos, Georgios Drakopoulos, Andreas Kanavos, Phivos Mylonas and Gerasimos Vonitsanos
At the dawn of the 10V or big data data era, there are a considerable number of sources such as smart phones, IoT devices, social media, smart city sensors, as well as the health care system, all of which constitute but a small portion of the data lakes ...
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Nikos Petrellis
A low complexity image processing and a new classification method are proposed in this paper. These methods can be employed by plant disease diagnosis applications implemented on smart phones. The supported set of diseases can be extended by the end user...
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Sherali Zeadally, Farhan Siddiqui and Zubair Baig
Bluetooth technology started off as a wireless, short-range cable replacement technology but it has undergone significant developments over the last two decades. Bluetooth radios are currently embedded in almost all computing devices including personal c...
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