Automatic Defect Inspection for Coated Eyeglass Based on Symmetrized Energy Analysis of Color Channels

Le, Ngoc Tuyen; Wang, Jing-Wein; Wang, Chou-Chen; Nguyen, Ngoc‐Tu

doi:10.3390/sym11121518

Cited by 56 publications

(10 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…(Gao et al, 2020b). Because e-business technology is constantly evolving and adaptable, continual e-business administration should be provided for the suggested model concerning modifications in healthcare firms' operating context (Le et al, 2019).…”

Section: Introduction To Risk Analysis In E-businessmentioning

confidence: 99%

RETRACTED ARTICLE: A hybrid approach for risk analysis in e-business integrating big data analytics and artificial intelligence

Lakshmanan

Maheswari

2021

Ann Oper Res

View full text Add to dashboard Cite

The main job of the e-business professional is to produce appropriate and trustworthy financial data. The solid internal controlling systems and the ethics and integrity of administration and staff depend significantly on the accuracy and relevancy of financial reports. This article demonstrates how Artificial Intelligence interacts with internal controlling systems creatively to assist managers in creating quality financial data by minimizing the risk of loss. A risk analysis approach for e-business is proposed in this article. Even though various kinds of research suggested in accountancy utilizing artificial intelligence, none of these proved explicitly how data risks were reduced via AI technology. The analysis benefits organizations save considerable expenses and losses by providing reliable financial data, helping managers decide effectively, and enhancing firms' efficiency. This article offers a concept of utilizing artificial intelligence to automate the removal of the vulnerability of internal monitoring systems by all types of businesses. It decreases the risk control, identification, and reporting quality through managing the risk of information reporting by offering the highest risk prediction accuracy of 89% and the precision ratio of 91% compared to the existing models.

show abstract

Section: Introduction To Risk Analysis In E-businessmentioning

confidence: 99%

RETRACTED ARTICLE: A hybrid approach for risk analysis in e-business integrating big data analytics and artificial intelligence

Lakshmanan

Maheswari

2021

Ann Oper Res

View full text Add to dashboard Cite

show abstract

“…It is necessary to note that, in this report, Tourism department expects more growth of 3.6% by 2019, exceeding the estimated global economic growth of 2.8%. Tourism has modified dramatically when the Internet gave opportunity to the travelers to search and plan their travel without the hassle of the travel company visit [18][19][20][21][22][23][24][25]. The tourism industry will soon change with the advent of digital technology, which will result in a shift in the needs and needs of travelers in terms of tourism services and products [3].…”

Section: Introductionmentioning

confidence: 99%

A Framework for the Promotion of Tourism Industry Using Blockchain Technology

Vistro¹,

Farooq²,

Rehman³

et al. 2021

Atlantis Highlights in Computer Sciences

View full text Add to dashboard Cite

The best interconnected profitable projects, tourism has come a long way since the technology allows tourists to watch & make their journeys without the necessity to go a tourism company because Blockchain has potential to transform this Industry. With the advancement of Internet marketing, visitors are able to access and view the information in the real time on their gadgets such as Laptops, Computers, Tablets, & Smartphones and as a result they can select their own contents. One of the strong growing technologies and the most cutting edge technologies is tourism blockchain. The Blockchain offers many advantages to the tourism business as it can help to the increase profitability, improvement of the customer satisfaction & to improve the performance. In this paper, I present the current situation in Pakistan regarding the utilization the technology of blockchain in tourism business. The agenda of this paper includes discovery of why blockchain technology couldn't be used in tourism business, and what tasks should be managed.

show abstract

“…With the popularization of automated production [ 1 , 2 , 3 , 4 , 5 ], detection technology based on machine vision [ 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 ] has greatly promoted the development of the automobile manufacturing industry. Compared with traditional manual inspection, it has the advantages of high efficiency and high accuracy.…”

Section: Introductionmentioning

confidence: 99%

Pointer Defect Detection Based on Transfer Learning and Improved Cascade-RCNN

Zhao

Huang

et al. 2020

Sensors

View full text Add to dashboard Cite

To meet the practical needs of detecting various defects on the pointer surface and solve the difficulty of detecting some defects on the pointer surface, this paper proposes a transfer learning and improved Cascade-RCNN deep neural network (TICNET) algorithm for detecting pointer defects. Firstly, the convolutional layers of ResNet-50 are reconstructed by deformable convolution, which enhances the learning of pointer surface defects by feature extraction network. Furthermore, the problems of missing detection caused by internal differences and weak features are effectively solved. Secondly, the idea of online hard example mining (OHEM) is used to improve the Cascade-RCNN detection network, which achieve accurate classification of defects. Finally, based on the fact that common pointer defect dataset and pointer defect dataset established in this paper have the same low-level visual characteristics. The network is pre-trained on the common defect dataset, and weights are transferred to the defect dataset established in this paper, which reduces the training difficulty caused by too few data. The experimental results show that the proposed method achieves a 0.933 detection rate and a 0.873 mean average precision when the threshold of intersection over union is 0.5, and it realizes high precision detection of pointer surface defects.

show abstract

Automatic Defect Inspection for Coated Eyeglass Based on Symmetrized Energy Analysis of Color Channels

Cited by 56 publications

References 34 publications

RETRACTED ARTICLE: A hybrid approach for risk analysis in e-business integrating big data analytics and artificial intelligence

RETRACTED ARTICLE: A hybrid approach for risk analysis in e-business integrating big data analytics and artificial intelligence

A Framework for the Promotion of Tourism Industry Using Blockchain Technology

Pointer Defect Detection Based on Transfer Learning and Improved Cascade-RCNN

Contact Info

Product

Resources

About