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Ruoyang Li, Shuping Xiong, Yinchao Che, Lei Shi, Xinming Ma and Lei Xi
Semantic segmentation algorithms leveraging deep convolutional neural networks often encounter challenges due to their extensive parameters, high computational complexity, and slow execution. To address these issues, we introduce a semantic segmentation ...
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Ku Muhammad Naim Ku Khalif, Woo Chaw Seng, Alexander Gegov, Ahmad Syafadhli Abu Bakar and Nur Adibah Shahrul
Convolutional Neural Networks (CNNs) have garnered significant utilisation within automated image classification systems. CNNs possess the ability to leverage the spatial and temporal correlations inherent in a dataset. This study delves into the use of ...
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Jun-Seong Kim, Kun-Woo Kim, Se-Ro Kim, Tae-Gyeong Woo, Joong-Wha Chung, Seong-Won Yang and Seong-Yong Moon
Echocardiography is a medical examination that uses ultrasound to assess and diagnose the structure and function of the cardiac. Through the use of ultrasound waves, this examination allows medical professionals to create visualizations of the cardiac mu...
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Makrina Viola Kosti, Maurice Benayoun, Nefeli Georgakopoulou, Sotiris Diplaris, Theodora Pistola, Vasileios-Rafail Xefteris, Athina Tsanousa, Kalliopi Valsamidou, Panagiota Koulali, Yash Shekhawat, Piera Sciama, Ilias Kalisperakis, Stefanos Vrochidis and Ioannis Kompatsiaris
Demographic change confronts us with an ever-increasing number of elderly people who face isolation and socialization issues. Background: The main challenge of this study is to inject emotional and aesthetic aspects into the design process of a virtual r...
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Donghyuk Kum, Jichul Ryu, Yongchul Shin, Jihong Jeon, Jeongho Han, Kyoung Jae Lim and Jonggun Kim
This study accounted for the importance of daily expansion flow data in compensating for insufficient flow data in a watershed. In particular, the 8-day interval flow measurement data (intermittent monitoring data) could cause uncertainty in the high- or...
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