The framework predicts how proteins will function with several interacting mutations and finds combinations that work well ...
Automating knowledge production and teaching weakens the ecosystem of students and scholars that sustains universities, ...
Abstract: In this article, a machine-learning-assisted antenna array isolation optimization method for bistatic in-band full-duplex (IBFD) communication systems based on a novel intelligent surface ...
Abstract: sQUlearn introduces a user-friendly, noisy intermediate-scale quantum (NISQ)-ready Python library for quantum machine learning (QML), designed for seamless integration with classical machine ...
Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...