In this paper, a genetic algorithm-based optimization method for ladle refractory lining structure is proposed. First, the parametric finite element model of the new ladle refractory lining is ...

However, the integration of RM optimization within motion planning remains underexplored. To address this, we introduce two new approaches for optimizing RM in motion planning: a probabilistic ...

Aiming at the complex decision-making problem of reservoir operation scheme, this paper proposes a reservoir operation scheme decision-making model based on IWGAN-IWOA-CNN. Firstly, the training ...

The funding will accelerate the development of Fuse's technology platform and pipeline of novel gene therapies. With its ...

Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.

Generative AI provides another transformative approach for optimizing tabular data. Instead of manually selecting or ...

Abstract: This work investigates the modeling and optimization of beyond diagonal reconfigurable intelligent ... We next characterize the frequency dependence of the BD-RIS response based on circuit ...

ZeroPoint Technologies AB today announced a breakthrough hardware-accelerated memory optimization product that enables the ...

4. A Heuristic Algorithm Based on NSGA2 for Resolving an AFSP ...

Mixed Precision Training has been widely adopted to accelerate model training while maintaining accuracy, initially focusing on CNNs and DNNs before expanding to LLMs. For inference optimization, Post ...