Abstract: This work presents an improved modeling approach using fractional differential equations (FDE) and stochastic processes for the I-V characteristics of commercial photovoltaic (PV) modules.
Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.
If you like D-FINE, please give us a ⭐! Your support motivates us to keep improving! D-FINE is a powerful real-time object detector that redefines the bounding box regression task in DETRs as ...
Traditional vs. Our language-based trajectory prediction, LMTraj. We provide scripts to evaluate our LMTraj-ZERO model for all datasets simultaneously. Two scripts ...
Abstract: Spiking neural networks, known for mimicking the brain’s functionality resulting in efficient algorithms, are gaining attention across various problems and applications. However, their ...
Background: Previous scholars have conducted a series of explorations on the relationship between learning approaches and mathematical creativity, but it remains unclear how deep learning approach ...
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