Proactive and Data-Driven Decision-Making Using Earned Value Analysis in Infrastructure Projects by Bayram Ateş, Mohammad Azim Eirgash

“…Timely and informed decision-making is essential for the successful execution of construction projects, where delays and cost overruns frequently pose significant risks. …”
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Adaptive conflict resolution for IoT transactions: A reinforcement learning-based hybrid validation protocol by Mohammad A. Al Khaldy, Ahmad Nabot, Ahmad al-Qerem, Issam Jebreen, Abdulbasit A. Darem, Asma A. Alhashmi, Mohammad Alauthman, Amjad Aldweesh

“…Experimental results demonstrate that our RL-CC protocol achieves a 90% reduction in transaction abort rates (5% vs. 45% for 2PL), 3x higher throughput (300 TPS vs. 100 TPS), and 70% lower latency compared to traditional concurrency control methods. The proposed RL-CC protocol significantly reduces transaction abort rates, enhances concurrency management, and improves the efficiency of sensor data processing by ensuring that transactions are executed within their temporal validity window. …”
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Leveraging federated learning and edge computing for pandemic-resilient healthcare by Atlanta Choudhury, Kandarpa Kumar Sarma, Vyacheslav Gulvanskii, Dmitrii Kaplun, Lachit Dutta

“…Abstract The universal demand for the development and deployment of responsive medical infrastructure and damage control techniques, including the application of technology, is the foremost necessity that emerged immediately in the post-pandemic era. …”
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