9   Artículos

 
en línea
Jerry Gao, Charanjit Kaur Bambrah, Nidhi Parihar, Sharvaree Kshirsagar, Sruthi Mallarapu, Hailong Yu, Jane Wu and Yunyun Yang    
With the development of artificial intelligence, the intelligence of agriculture has become a trend. Intelligent monitoring of agricultural activities is an important part of it. However, due to difficulties in achieving a balance between quality and cos... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Majdi Sukkar, Madhu Shukla, Dinesh Kumar, Vassilis C. Gerogiannis, Andreas Kanavos and Biswaranjan Acharya    
Effective collision risk reduction in autonomous vehicles relies on robust and straightforward pedestrian tracking. Challenges posed by occlusion and switching scenarios significantly impede the reliability of pedestrian tracking. In the current study, w... ver más
Revista: Information    Formato: Electrónico

 
en línea
Mohammed Imran Basheer Ahmed, Rim Zaghdoud, Mohammed Salih Ahmed, Razan Sendi, Sarah Alsharif, Jomana Alabdulkarim, Bashayr Adnan Albin Saad, Reema Alsabt, Atta Rahman and Gomathi Krishnasamy    
To constructively ameliorate and enhance traffic safety measures in Saudi Arabia, a prolific number of AI (Artificial Intelligence) traffic surveillance technologies have emerged, including Saher, throughout the past years. However, rapidly detecting a v... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Shengping Wen, Yue Yuan and Jingfu Chen    
The preliminary sorting of plastic products is a necessary step to improve the utilization of waste resources. To improve the quality and efficiency of sorting, a plastic detection scheme based on deep learning is proposed in this paper for a waste plast... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Haiying Liu, Yuncheng Pei, Qiancheng Bei and Lixia Deng    
At present, the detection-based pedestrian multi-target tracking algorithm is widely used in artificial intelligence, unmanned driving cars, virtual reality and other fields, and has achieved good tracking results. The traditional DeepSORT algorithm main... ver más
Revista: Applied System Innovation    Formato: Electrónico

 
en línea
Fumin Wu, Qianqian Chen, Yuanqiao Wen, Changshi Xiao and Feier Zeng    
In the field of automatic detection of ship exhaust behavior, a deep learning-based multi-sensor hierarchical detection method for tracking inland river ship chimneys is proposed to locate the ship exhaust behavior detection area quickly and accurately. ... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

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