ABSTRACT: The Rectified Linear Unit (ReLU) activation function is widely employed in deep learning (DL). ReLU shares structural similarities with censored regression and Tobit models common in ...

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...

Firefly shares drop 10% after Q2 loss widens and revenue falls 36% year over year. First post-IPO earnings show $80.3M net loss, missing Wall Street expectations. Analyst keeps $65 target, citing ...

It supports client-wise data partitioning and federated learning with feature selection for high-dimensional tabular datasets like IoT-IDS or spam classification. spambase-fed-bfa.ipynb Federated BFA ...

Abstract: Production optimization can be done by determining the optimal amount of product produced to achieve maximum profit according to the limit on the amount of raw material that has been ...

Abstract: With the continuous increase of energy demand along with the congested transmission systems, distributed generation (DG) is suggested as a possible solution. In addition, with the limited ...