Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Abstract: Bayesian network (BN) is widely used to represent and reason with uncertain knowledge. There is a big space that contains infinite topologies in BN structure learning, so how to efficiently ...

Beyond firewalls and perimeter security, a zero trust architecture allows security officials to better protect data and system access to both outsider and insider threats, adopting a mantra of “trust ...

Abstract: With the advancement in the technological architecture of Sixth Generation (6G) networks, near-field-driven designs have become increasingly prominent in wireless communications systems.

Tensorflow 1.4 already has the function "tf.nn.selu" and "tf.contrib.nn.alpha_dropout" that implement the SELU activation function and the suggested dropout version.