平躺 发表于 2025-3-28 14:35:10
Dealing with the Unpredictability of Physical Resources in Real-World Multi-agent Systems replacement, and the need for upgrade scenarios occur. Our approach was evaluated and tested in three different BDI frameworks, demonstrating that swapping resources at runtime is a promissory feature to guarantee the adaptability of intelligent cyber-physical systems.审问,审讯 发表于 2025-3-28 20:04:40
http://reply.papertrans.cn/16/1513/151227/151227_42.png说笑 发表于 2025-3-28 23:52:47
Towards Improving Multivariate Time-Series Forecasting Using Weighted Linear Stackingecasting models, a multivariate variant of the N-BEATS model (M-N-BEATS) and a hybrid Transformer-N-BEATS (TRANS-BEATS) model, both for multivariate multi-step ahead time-series forecasting. The proposed models outperform their rivals and their forecasting performance is evaluated by multiple evalua健壮 发表于 2025-3-29 06:46:18
http://reply.papertrans.cn/16/1513/151227/151227_44.png施加 发表于 2025-3-29 09:35:07
http://reply.papertrans.cn/16/1513/151227/151227_45.pnggregarious 发表于 2025-3-29 14:32:59
http://reply.papertrans.cn/16/1513/151227/151227_46.png驳船 发表于 2025-3-29 18:12:07
Weight Re-mapping for Variational Quantum Algorithmsios. In our study, we employ seven distinct weight re-mapping functions to assess their impact on eight classification datasets, using variational classifiers as a representative example. Our results indicate that weight re-mapping can enhance the convergence speed of the VQC. We assess the efficacy观察 发表于 2025-3-29 23:21:16
Effective Adaptive Strategy Selection Using Extended Fine-Tuning and CNN-Based Surrogate Model in Retion accuracy. Ablation studies in RBANs reveal the superiority of combining the fine-tuning approach with both policies over using fine-tuning alone or with just one policy. Ablation studies in independent negotiations show that applying either or both policies on the CSM also improves the CSM’s peEmployee 发表于 2025-3-30 02:15:48
http://reply.papertrans.cn/16/1513/151227/151227_49.pngarabesque 发表于 2025-3-30 05:37:39
UTP: A Unified Term Presentation Tool for Clinical Textual Data Using Pattern-Matching Rules and Dicviations, medical terms, negations, dates, and investigation values from the unstructured textual data. Then, it replaces the detected entities with their corresponding unified and normalized presentation based on pattern-matching rules that relies on the linguistic features, pattern-matching rules,