Reducing the shortage of organ donations to meet demands patients on waiting list has being a major challenge in transplantation. Because shortage, matching decision is most critical assign limited viable organs “suitable” patients. Currently, decisions are only made by scores calculated via scoring models, which built first principles. However, these models may disagree with actual post-transp...

Since bus prioritization policies can help mitigate urban traffic jams, the planning of lanes has drawn considerable attention. Existing methods suffer from a common limitation, which is that limited spatial adaptability resulting certain road condition information cannot be directly specified. Many GPS trajectories have been accumulated and contiguously gathered if needed. This paper proposes ...

With the convergence of big data and HPC (high-performance computing), various machine learning applications traditional large-scale simulations with a stochastically iterative I/O periodicity are running concurrently on platforms, which poses more challenges scarcely shared resources due to ever-growing transfer demand. Currently existing heuristic online periodic offline scheduling methods fo...

Despite their success in handling uncertain dynamical systems that are prone to failure, adaptive controllers observed have unfavorable interactions with human pilots certain applications. To alleviate this problem, we need evaluate the safety and performance of simulation environment using realistic pilot models before conducting flight tests. While many useful exist literature, adequate for p...