Trasgu Automates Exhaustive Vine Copula Fitting Across HPC Platforms
Trasgu is a new open-source Python package that automates the exhaustive fitting of vine copulas using high-performance computing, enabling systematic ...
Trasgu is a new open-source Python package that automates the exhaustive fitting of vine copulas using high-performance computing, enabling systematic ...
A parallel hybrid algorithm combining sine cosine and tabu search improves mobile robot path planning performance by up to 265% ...
A comprehensive survey analyzes the dual synergy between domain decomposition methods and scientific machine learning algorithms for solving complex computational ...
Researchers report distributed-memory implementations of the WCC and CM algorithms that post-process network clusterings for edge connectivity at scales up ...
Researchers have extended Paired-Explicit Runge-Kutta time-stepping schemes to fourth-order accuracy, enabling multirate simulations that cut runtime by 66 percent to ...
A new study reports two optimization algorithms for spatial-temporal kernel density visualization, with a parallel voxel-based method cutting bandwidth exploration ...
Researchers have developed a gas-kinetic scheme with space-time adaptive mesh refinement that lets different grid regions advance at different time ...
A benchmark study found that concurrency-aware AI achieved up to 98.9% intrusion-detection accuracy, 2.1-times throughput and 57.5% lower average latency ...
A three-dimensional simulation test found that TPHT reconstructed selected cloud-particle histories with an estimated 5.2-fold reduction in retained output after ...
A new systematic review of 40 studies maps 25 years of One-Parameter-at-a-Time combinatorial testing research, revealing critical trade-offs between test ...
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© 2025 Scienmag - Science Magazine