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Alon Urlainis, Monica Paciuk and Igal M. Shohet
This study investigates the life expectancy (LE) and life cycle costs (LCC) of three alternatives of interior partitions in residential units: gypsum board, autoclaved concrete block, and hollow concrete block partitions. The aim is to examine the sustai...
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Malik Zohaib Nisar, Muhammad Sohail Ibrahim, Muhammad Usman and Jeong-A Lee
Automatic modulation classification (AMC) is a vital process in wireless communication systems that is fundamentally a classification problem. It is employed to automatically determine the type of modulation of a received signal. Deep learning (DL) metho...
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Jingxia Jiang, Peiyun Huang, Lihan Tong, Junjie Yin and Erkang Chen
Underwater images are frequently subject to color distortion and loss of details. However, previous enhancement methods did not tackle these mixed degradations by dividing them into sub-problems that could be effectively addressed. Moreover, the paramete...
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Shuhe Zheng, Yang Liu, Wuxiong Weng, Xuexin Jia, Shilong Yu and Zuoxun Wu
Recognition and localization of fruits are key components to achieve automated fruit picking. However, current neural-network-based fruit recognition algorithms have disadvantages such as high complexity. Traditional stereo matching algorithms also have ...
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Cheng-Ying Tsai and Chieh-Li Chen
In recent decades, haze has become an environmental issue due to its effects on human health. It also reduces visibility and degrades the performance of computer vision algorithms in autonomous driving applications, which may jeopardize car driving safet...
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Yeonghyeon Gu, Zhegao Piao and Seong Joon Yoo
In magnetic resonance imaging (MRI) segmentation, conventional approaches utilize U-Net models with encoder?decoder structures, segmentation models using vision transformers, or models that combine a vision transformer with an encoder?decoder model struc...
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Khalid Al-Begain, Murad Khan, Basil Alothman, Chibli Joumaa and Ebrahim Alrashed
The Internet of Things (IoT) has become an integral part of our daily life as it is growing in many fields, such as engineering, e-health, smart homes, smart buildings, agriculture, weather forecasting, etc. However, the growing number of IoT devices and...
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Sicong Liu, Qingcheng Fan, Shanghao Liu and Chunjiang Zhao
Animal pose estimation has important value in both theoretical research and practical applications, such as zoology and wildlife conservation. A simple but effective high-resolution Transformer model for animal pose estimation called DepthFormer is provi...
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Jianwu Lin, Xiaoyulong Chen, Renyong Pan, Tengbao Cao, Jitong Cai, Yang Chen, Xishun Peng, Tomislav Cernava and Xin Zhang
Most convolutional neural network (CNN) models have various difficulties in identifying crop diseases owing to morphological and physiological changes in crop tissues, and cells. Furthermore, a single crop disease can show different symptoms. Usually, th...
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Arne Peys, Mateja Ko?ir, Ruben Snellings, Ana Mladenovic and Liesbeth Horckmans
New sources of supplementary cementitious materials (SCMs) are needed to meet the future demand. A potential new source of SCM is spent pot lining, a residue from aluminum production. The present work showed that the refined aluminosilicate part of spent...
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