We are excited to announce the publication of an innovative research paper entitled “Data Fusion for Optimal Condition-Based Aircraft Fleet Maintenance With Predictive Analytics,” co-authored by Zhengyang Fan, Kuo-Chu Chang, Ran Ji, and Genshe Chen. Released on April 4, 2024, this paper has made its debut in the December 2023 Issue (18(2)) of the Journal of Advances in Information Fusion, a leader in the field. This groundbreaking study explores the integration of data fusion and predictive analytics to enhance the maintenance strategies of aircraft fleets, promising significant improvements in efficiency and reliability. The research not only advances the technical knowledge in the field but also paves the way for practical applications that could revolutionize aircraft maintenance operations. The full article is available online through the Journal of Advances in Information Fusion website, providing insights into the methodologies and implications of the study. For further details on this issue, visit JAIF Volume 18, Issue 2. This publication is a testament to the dedication and expertise of its authors and serves as a valuable resource for professionals in the field of information fusion and aerospace engineering.