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Fiesta Octaviani,Renaldi Renaldi,Sabrina Oktaria Sihombing
Pág. 238 - 248
Abstract: This study aims to examine the factors that have the potential to influence student?s entrepreneurial intentions using the TPB theory model along with several other factors (i.e., attitude towards entrepreneurship, subjective norms, perceived b...
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Mingxin Zou, Yanqing Zhou, Xinhua Jiang, Julin Gao, Xiaofang Yu and Xuelei Ma
Field manual labor behavior recognition is an important task that applies deep learning algorithms to industrial equipment for capturing and analyzing people?s behavior during field labor. In this study, we propose a field manual labor behavior recogniti...
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Yuhwan Kim, Chang-Ho Choi, Chang-Young Park and Seonghyun Park
In today?s society, where people spend over 90% of their time indoors, indoor air quality (IAQ) is crucial for sustaining human life. However, as various indoor activities such as cooking generate diverse types of pollutants in indoor spaces, IAQ has eme...
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Mohammad Javad Salariseddigh, Ons Dabbabi, Christian Deppe and Holger Boche
Numerous applications of the Internet of Things (IoT) feature an event recognition behavior where the established Shannon capacity is not authorized to be the central performance measure. Instead, the identification capacity for such systems is considere...
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Jia Li, Feilong Kang, Yongan Zhang, Yanqiu Liu and Xia Yu
In recent years, traditional farming methods have been increasingly replaced by more modern, intelligent farming techniques. This shift towards information and intelligence in farming is becoming a trend. When they are bitten by dinoflagellates, cows dis...
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Zouheir Trabelsi, Fady Alnajjar, Medha Mohan Ambali Parambil, Munkhjargal Gochoo and Luqman Ali
Effective classroom instruction requires monitoring student participation and interaction during class, identifying cues to simulate their attention. The ability of teachers to analyze and evaluate students? classroom behavior is becoming a crucial crite...
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Willams Costa, Estefanía Talavera, Renato Oliveira, Lucas Figueiredo, João Marcelo Teixeira, João Paulo Lima and Veronica Teichrieb
Emotion recognition is the task of identifying and understanding human emotions from data. In the field of computer vision, there is a growing interest due to the wide range of possible applications in smart cities, health, marketing, and surveillance, a...
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Houda Bouarir, Asmae Diani, Omar Boubker and Jaouad Rharzouz
The focus of this study is to investigate the major factors influencing entrepreneurial intent and behavior, by addressing the role of entrepreneurial education, business opportunity recognition, and the need for achievement. The research data were colle...
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Manar M. F. Donia, Wessam H. El-Behaidy and Aliaa A. A. Youssif
The study of human behaviors aims to gain a deeper perception of stimuli that control decision making. To describe, explain, predict, and control behavior, human behavior can be classified as either non-aggressive or anomalous behavior. Anomalous behavio...
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Andreas Melfsen, Arvid Lepsien, Jan Bosselmann, Agnes Koschmider and Eberhard Hartung
This study aimed to demonstrate the application of process mining on video data of pigs, facilitating the analysis of behavioral patterns. Video data were collected over a period of 5 days from a pig pen in a mechanically ventilated barn and used for ana...
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