Abstract: Post-training quantization (PTQ) has emerged as a practical approach to compress large neural networks, making them highly efficient for deployment. However, effectively reducing these ...
Abstract: Optimizing weight parameters in Feedforward Backpropagation Algorithms (FBPA) is critical for accurate classification of partial discharge (PD) patterns in solid insulation systems. In ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results