Editorial.

The June 2023 issue of the CIT Journal of Computing and Information Technology features four papers on various topics. The first paper discusses an automatic diagnosis method for short circuit faults in power measurement instruments using deep learning networks. The second paper focuses on a network intrusion detection model that uses a genetic algorithm to improve accuracy and minimize false alarms. The third paper explores a distributed framework for point cloud processing of ancient buildings, aiming to increase data compression accuracy and storage efficiency. The final paper presents a deep neural network model for detecting small targets, specifically safety helmets, in complex environments. Overall, these papers offer valuable insights and improvements in their respective fields. [Extracted from the article]