Editorial: Summary of 2025
Article Information
Abstract
Summary of 2025
Keywords
Data Availability Statement
Funding
Conflicts of Interest
AI Use Statement
Ethical Approval and Consent to Participate
References
- Gao, K., Wu, D., Zhang, S., Peng, R., & Wu, S. (2025). The State-of-the-Art Development and New Challenges: Operations Management of Metro Systems. ICCK Transactions on Systems Safety and Reliability, 1(1), 4-20.
[CrossRef] [Google Scholar] - Gao, Y., Li, S., Liu, W., & Zhou, H. (2025). State-of-the-art advances and emerging challenges in UAV routing optimization: A comprehensive review. ICCK Transactions on Systems Safety and Reliability, 1(1), 43–62.
[CrossRef] [Google Scholar] - Liang, H., Zhao, Y., & Xu, M. (2025). Preventive maintenance and competitive strategies in IIoT-enable after-sales markets: A degradation modeling and game theoretic approach. ICCK Transactions on Systems Safety and Reliability, 1(1), 21–42.
[CrossRef] [Google Scholar] - Mo, Y., Fan, Y., Miao, C., Chynybaev, M., Gui, F., Zhang, R., ... & Chymyrov, A. (2025). Performability Analysis for Large-Scale Multi-State Computing Systems: Methodologies, Advances, and Future Directions. ICCK Transactions on Systems Safety and Reliability, 1(2), 81-97.
[CrossRef] [Google Scholar] - Wang, L., Sun, F., & Li, J. (2025). Optimization and control of discrete-time production-inventory systems using reinforcement learning. ICCK Transactions on Systems Safety and Reliability, 1(2).
[CrossRef] [Google Scholar] - Zhao, J. (2025). Beyond firm boundaries: Orchestrating ecosystem sustainability through business model innovation. ICCK Transactions on Systems Safety and Reliability, 1(1), 63–80.
[CrossRef] [Google Scholar] - Zhou, T., & Yang, S. (2025). Remaining useful life prediction using optimized multi-source features and model fusion. ICCK Transactions on Systems Safety and Reliability, 1(2).
[CrossRef] [Google Scholar] - Li, M., Song, G., Liu, P., Zhu, K., & Zhang, A. (2025). Non-invasive Continuous Glucose Monitoring (CGM) System Reliability Analysis Based on the DFMEA Model. ICCK Transactions on Systems Safety and Reliability, 1(2), 128-135.
[CrossRef] [Google Scholar] - Zhao, F., & Dai, X. (2025). A Hybrid RUL Prediction Approach for Lithium-ion Batteries Based on CEEMDAN-SSA-SVR-BiGRU. ICCK Transactions on Systems Safety and Reliability, 1(2), 136-148.
[CrossRef] [Google Scholar]
Cite This Article
TY - JOUR AU - Peng, Rui PY - 2026 DA - 2026/01/20 TI - Editorial: Summary of 2025 JO - ICCK Transactions on Systems Safety and Reliability T2 - ICCK Transactions on Systems Safety and Reliability JF - ICCK Transactions on Systems Safety and Reliability VL - 2 IS - 1 SP - 1 EP - 2 DO - 10.62762/TSSR.2025.899033 UR - https://www.icck.org/article/abs/TSSR.2025.899033 KW - Summary of 2025 AB - Summary of 2025 SN - 3069-1087 PB - Institute of Central Computation and Knowledge LA - English ER -
@article{Peng2026Editorial,
author = {Rui Peng},
title = {Editorial: Summary of 2025},
journal = {ICCK Transactions on Systems Safety and Reliability},
year = {2026},
volume = {2},
number = {1},
pages = {1-2},
doi = {10.62762/TSSR.2025.899033},
url = {https://www.icck.org/article/abs/TSSR.2025.899033},
abstract = {Summary of 2025},
keywords = {Summary of 2025},
issn = {3069-1087},
publisher = {Institute of Central Computation and Knowledge}
}
Article Metrics
Publisher's Note
ICCK stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and Permissions
Copyright © 2026 by the Author(s). Published by Institute of Central Computation and Knowledge. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made.
Portico