, loss functions, and optimiza- tion techniques for solving new problems. Keywords: detection of small objects, detection of video objects, loss functions, optimization 1 Introduction Object detection is a comp
(2003) Modular product family design: Agent-based Pareto-optimization and quality loss function-based post-optimal analysis. International Journal of Production Research 41(17): 4075–4098Rai, R., & Allada, V. ~2002!. Modular Product Family Design: Agent- Based Pareto-Optimization and Post ...
We propose FedChoice, a client selection method based on loss function optimization, to select appropriate local models to improve the convergence of the global model. It firstly sets selected probability for clients with the value of loss function, and the client with high loss will be set ...
System design: During this phase, the architectures and technologies that could achieve the desired function are examined. The most appropriate one is selected in order to obtain a basic, functional prototype. During this stage, the experience and creativity of the designer or design team play an...
"No RNN" and "Reduced Parameters" networks were also trained while maintaining loss function components at optimized values to assess the utility of simpler architectures. NRMSE and Pearson's correlation coefficient (r) were calculated in tissues of interest across the test set for original and ...
Therefore, in this study, we propose a combination of custom loss function and custom mini-batch logic to optimize neural networks for the melanoma classification problem and have the following contributions. 1. Proposing a custom loss function (CLF) to handle imbalanced datasets of melanoma and...
Thus, a key requirement of such techniques is to reduce time and resource consumption. In this paper, a multi-speaker text-to-speech synthesis using a generalized end-to-end loss function is developed, capable of generating speech in real-time for a given speech reference from a user and a...
Figure 4. Current difference as a function of duty cycle for the four-phase 50nH coupled inductor (Lm = 200nH). D = 0.15 would correspond to the 12V to 1.8V application. Figure 5. Current ripple (IL1) and current difference peak-to-peak as a function of duty cycle for four-phase ...
Finally, a novel WTPC modeling strategy, which combines the candidate model set, error characteristic-based loss function, and GWO-BSA, is proposed to obtain better power curves. Experimental results show that (1) GWO-BSA shows faster convergence speed and higher optimization accuracy than single ...
This loss function can heighten the significance of the small target in the classification loss, so as to promote the accurate detection of small targets on the road. To generalize focal loss from its discrete form to the continuous version for successful optimization, Li et al. [178] propose...