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Xulong Yu, Qiancheng Yu, Qunyue Mu, Zhiyong Hu and Jincai Xie
Traditional manual visual detection methods are inefficient, subjective, and costly, making them prone to false and missed detections. Deep-learning-based defect detection identifies the types of defects and pinpoints their locations. By employing this a...
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Mohd Imran Siddiqui, Hasan Rameez, Izharul Haq Farooqi and Farrukh Basheer
Rapid population growth and urbanization have resulted in a multi-fold increase in water consumption over the last few decades, resulting in the generation of large amounts of sewage and sewage sludge that impose severe environmental burdens if not handl...
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Ismail Bile Hassan, Masrah Azrifah Azmi Murad, Ibrahim El-Shekeil and Jigang Liu
This study validates and extends the latest unified theory of acceptance and use of technology (UTAUT2) with the privacy calculus model. To evaluate the adoption of healthcare and e-government applications, researchers have recommended?in previous litera...
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Nai Yeen Gavin Lai, Wai Choong Foo, Chon Siong Tan, Myoung Sook Kang, Hooi Siang Kang, Kok Hoong Wong, Lih Jiun Yu, Xu Sun and Nadia Mei Lin Tan
The Theory of Planned Behavior (TPB) is a useful framework that helps explain people?s behavior across a wide range of settings. The present study adopted the TPB to investigate factors that affect the complexity of the learning intention of workers invo...
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Yelena Popova and Diana Zagulova
The contemporary urban environment faces such challenges as overloaded traffic, heavy pollution, and social problems, etc. The concept of the ?smart city? allows solving some of these issues. One of the opportunities provided by the smart city is the dev...
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