|
|
|
|
|
Xiuying Xu, Changhao Fu, Yingying Gao, Ye Kang and Wei Zhang
The origin of seeds is a crucial environmental factor that significantly impacts crop production. Accurate identification of seed origin holds immense importance for ensuring traceability in the seed industry. Currently, traditional methods used for iden...
ver más
|
|
|
|
|
|
|
|
|
|
|
Tianhao Gao, Meng Zhang, Yifan Zhu, Youjian Zhang, Xiangsheng Pang, Jing Ying and Wenming Liu
Classifying sports videos is complex due to their dynamic nature. Traditional methods, like optical flow and the Histogram of Oriented Gradient (HOG), are limited by their need for expertise and lack of universality. Deep learning, particularly Convoluti...
ver más
|
|
|
|
|
|
|
|
|
|
|
Kwihoon Kim and Jin-Yong Choi
Measuring water levels in an irrigation channel is an important task in irrigation system decision making and estimating the quantity of irrigation water supplies. This study aimed to measure water levels with image information from an irrigation channel...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jia Hou, Jingyu Zhang, Qi Chen, Siwei Xiang, Yishuo Meng, Jianfei Wang, Cimang Lu and Chen Yang
Artificial intelligence is changing and influencing our world. As one of the main algorithms in the field of artificial intelligence, convolutional neural networks (CNNs) have developed rapidly in recent years. Especially after the emergence of NASNet, C...
ver más
|
|
|
|
|
|
|
|
|
|
|
Rina Komatsu and Tad Gonsalves
In CycleGAN, an image-to-image translation architecture was established without the use of paired datasets by employing both adversarial and cycle consistency loss. The success of CycleGAN was followed by numerous studies that proposed new translation mo...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hayfa Alshowaish, Yousef Al-Ohali and Abeer Al-Nafjan
A trademark is any recognizable sign that identifies products/services and distinguishes them from others. Many regional and international intellectual property offices are dedicated to dealing with trademark registration processes. The registration proc...
ver más
|
|
|
|
|
|
|
|
|
|
|
Marwa Ben Jabra, Anis Koubaa, Bilel Benjdira, Adel Ammar and Habib Hamam
The COVID-19 disease has spread all over the world, representing an intriguing challenge for humanity as a whole. The efficient diagnosis of humans infected by COVID-19 still remains an increasing need worldwide. The chest X-ray imagery represents, among...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chih-Chiang Wei
Nearshore wave forecasting is susceptible to changes in regional wind fields and environments. However, surface wind field changes are difficult to determine due to the lack of in situ observational data. Therefore, accurate wind and coastal wave forecas...
ver más
|
|
|
|
|
|
|
|
|
|
|
Imen Chebbi, Nedra Mellouli, Imed Riadh Farah and Myriam Lamolle
Big data analysis assumes a significant role in Earth observation using remote sensing images, since the explosion of data images from multiple sensors is used in several fields. The traditional data analysis techniques have different limitations on stor...
ver más
|
|
|
|
|
|
|
|
|
|
|
Seol-Hyun Noh
Convolutional neural networks (CNNs) are widely used among the various deep learning techniques available because of their superior performance in the fields of computer vision and natural language processing. CNNs can effectively extract the locality an...
ver más
|
|
|
|
|
|