Dear Colleagues,

Information and artifcial intelligence undeniably play an important role in our modern society. The ability to use the information at the right time can give companies an edge over the competition. However, developing information from data is not always easy and can be time-consuming. This is where artifcial intelligence comes into play. Artifcial intelligence, such as neural networks can adapt to changing inputs and are able to produce the best result that provides the information needed. This can lead to more effectiveness and efciency in the work process, as shown in research articles: Deep Constitutional Neural Networks based on VGG-16 Transfer Learning for Abnormalities Peeled Shrimp Classifcation, Fluke Eggs Detection and Classifcation Using Deep Convolution Neural Network, Identifying ATM Fraud Transactions in Thailand using Outlier Detection with Location-Based Grouping and Behavior Feature. The other multidisciplinary contents of the research articles are Comparison of Keyword Etraction Methods for Crowdfunding Projects Based on the Web Data, Developing of Grip Comfort of Perfume Bottles by Applying the Concepts of Product Design and Development and Hybrid Optimization Technique, Reverse Logistics Networks for Infected Medical Waste Management in Epidemic Outbreaks under Uncertainty: A Case Study of COVID-19 in Pathum Thani, Thailand.

All authors and readers from around the world are invited to visit the website https://ph02.tci-thaijo.org/ index.php/isjet/index. This link will grant you to submit your research to publish in our journal or will access to electronic versions of all issues of our journal. On behalf of the Editorial Board, I would like to take this opportunity to thank everyone who has complimented our goal by contributing to the ISJET.

With kind regards,
Asst. Prof. Dr. Phannachet Na Lamphun
Associate Editor of Engineering and Technology
isjet@pim.ac.th