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Yu-Ting Tsai and Ching-Piao Tsai
Deep learning techniques have revolutionized the field of artificial intelligence by enabling accurate predictions of complex natural scenarios. This paper proposes a novel convolutional neural network (CNN) model that involves deep learning technologies...
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Qinge Wu, Zhichao Song, Hu Chen, Yingbo Lu and Lintao Zhou
Crack identification plays a vital role in preventive maintenance strategies during highway pavement maintenance. Therefore, accurate identification of cracks in highway pavement images is the key to highway maintenance work. In this paper, an improved U...
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Bruhanth Mallik, Akbar Sheikh-Akbari, Pooneh Bagheri Zadeh and Salah Al-Majeed
The standard HEVC codec and its extension for coding multiview videos, known as MV-HEVC, have proven to deliver improved visual quality compared to its predecessor, H.264/MPEG-4 AVC?s multiview extension, H.264-MVC, for the same frame resolution with up ...
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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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Sinan Alkassar, Mohammed A. M. Abdullah, Bilal A. Jebur, Ghassan H. Abdul-Majeed, Bo Wei and Wai Lok Woo
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Liu Songzuo, Basit Iqbal, Imran Ullah Khan, Niaz Ahmed, Gang Qiao and Feng Zhou
Underwater wireless communication has gained a great deal of attention in the last couple of decades because of its applications in the military, industrial, and monitoring sectors. Despite the extreme physical and MAC layer difficulties, acoustics are u...
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Moa Lee and Joon-Hyuk Chang
Speech recognition for intelligent robots seems to suffer from performance degradation due to ego-noise. The ego-noise is caused by the motors, fans, and mechanical parts inside the intelligent robots especially when the robot moves or shakes its body. T...
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Wei Huang, Jingjing Feng, Hua Wang and Le Sun
In this paper, we propose a new architecture of densely connected convolutional networks for pan-sharpening (DCCNP). Since the traditional convolution neural network (CNN) has difficulty handling the lack of a training sample set in the field of remote s...
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Andreas Könsgen, Md. Shahabuddin, Amanpreet Singh and Anna Förster
Multipath transport protocols are aimed at increasing the throughput of data flows as well as maintaining fairness between users, which are both crucial factors to maximize user satisfaction. In this paper, a mixed (non)linear programming (MINLP) solutio...
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Gang Zhang, Tao Lei, Yi Cui and Ping Jiang
Semantic segmentation on high-resolution aerial images plays a significant role in many remote sensing applications. Although the Deep Convolutional Neural Network (DCNN) has shown great performance in this task, it still faces the following two challeng...
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