18   Artículos

 
en línea
Muhammad Hussain    
The aim of this research is to develop an automated pallet inspection architecture with two key objectives: high performance with respect to defect classification and computational efficacy, i.e., lightweight footprint. As automated pallet racking via ma... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Son Vu Hong Pham and Khoi Van Tien Nguyen    
Artificial intelligence models are currently being proposed for application in improving performance in addressing contemporary management and production issues. With the goal of automating the detection of road surface defects in transportation infrastr... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Mohammed Razzok, Abdelmajid Badri, Ilham El Mourabit, Yassine Ruichek and Aïcha Sahel    
Pedestrian tracking and detection have become critical aspects of advanced driver assistance systems (ADASs), due to their academic and commercial potential. Their objective is to locate various pedestrians in videos and assign them unique identities. Th... ver más
Revista: Information    Formato: Electrónico

 
en línea
Chun-Myoung Noh, Jun-Gyo Jang, Sung-Soo Kim, Soon-Sup Lee, Sung-Chul Shin and Jae-Chul Lee    
With increasing interest in smart factories, considerable attention has been paid to the development of deep-learning-based quality inspection systems. Deep-learning-based quality inspection helps productivity improvements by solving the limitations of e... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Mariam A. Amer, Pradeep Rajan, Sherif Mehanny, Arkadiusz Artyszak and Mohamed A. A. Ahmed    
Background: Recently, there has been a growing demand for the mechanization of flower harvesting to enhance harvesting efficiency. Therefore, the purpose of the current research was to design a jasmine flower automated picker system (JFAPS). The picking ... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Yunus Egi, Mortaza Hajyzadeh and Engin Eyceyurt    
The growth and development of generative organs of the tomato plant are essential for yield estimation and higher productivity. Since the time-consuming manual counting methods are inaccurate and costly in a challenging environment, including leaf and br... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Zhangqi Yang, Ye Li, Bo Wang, Shuoshuo Ding and Peng Jiang    
For unmanned surface vehicles (USVs), perception and control are commonly performed in embedded devices with limited computing power. Sea surface object detection can provide sufficient information for USVs, while most algorithms have poor real-time perf... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Jun-Hwa Kim, Namho Kim, Yong Woon Park and Chee Sun Won    
SMD (Singapore Maritime Dataset) is a public dataset with annotated videos, and it is almost unique in the training of deep neural networks (DNN) for the recognition of maritime objects. However, there are noisy labels and imprecisely located bounding bo... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Christine Dewi and Henoch Juli Christanto    
The human hand is involved in many computer vision tasks, such as hand posture estimation, hand movement identification, human activity analysis, and other similar tasks, in which hand detection is an important preprocessing step. It is still difficult t... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Sujith Gunturu, Arslan Munir, Hayat Ullah, Stephen Welch and Daniel Flippo    
To obtain more consistent measurements through the course of a wheat growing season, we conceived and designed an autonomous robotic platform that performs collision avoidance while navigating in crop rows using spatial artificial intelligence (AI). The ... ver más
Revista: AI    Formato: Electrónico

« Anterior     Página: 1 de 2     Siguiente »