A new framework combining reinforcement learning and Siamese convolutional networks with blockchain-secured routing reports ...

Explore dynamic asset allocation using machine learning to adapt portfolio weights, interpret market signals, and balance ...

UCSB and Microsoft's ScholarEvolve generates code from academic papers to improve an agent's harness without retraining model ...

A preliminary AES experiment found that bioinformatics-inspired alignment recovered keys with up to 44% fewer power traces ...

Robot swarms classify arena shapes by estimating a global spectral signature from information exchanged between robots.

PyGAD is an open-source, easy-to-use Python 3 library for building the genetic algorithm and optimizing machine learning algorithms. It supports Keras and PyTorch, and it can optimize both ...

Machine learning is a subset of artificial intelligence that gives systems the ability to learn and optimize processes without having to be consistently programmed ...

Constructing a machine learning model manually involves a long chain of decisions. Many steps are involved, such as cleaning the data, choosing the right algorithm ...

Abstract: This paper presents the design of a rectangular slotted antipodal Vivaldi antenna (AVA) incorporating ridged substrate integrated waveguide (RSIW) structures for ultra-wideband (UWB) ...

ABSTRACT: In the past decade, Internet Of Things (IOT) technology has become one of the fastest-growing and most widely used technologies and is rapidly becoming a basic feature of global civilization ...

The operation of the power grid is closely related to meteorological disasters. Changes in meteorological conditions may have an impact on the operation and stability of the power system, leading to ...