In this paper, a novel community detection method called MPSO-CD was proposed based on multi-objective particle swarm optimization, in which negative ratio association and ratio cut were employed as ...

Turing’s ideas ultimately led to the development of reinforcement learning, a branch of artificial intelligence. Reinforcement learning designs intelligent agents by training them to maximize ...

With advances in high-resolution imaging, mass spectrometry and machine-learning-assisted data analysis ... There are two basic approaches: the imaging method fluorescence microscopy and ...

He also discussed the "education" of such machines "by means of rewards and punishments." Turing's ideas ultimately led to the development of reinforcement learning, a branch of artificial ...

Singapore Objectives We aimed to examine the predictive accuracy of functioning, relapse or remission among patients with psychotic disorders, using machine learning methods. We also identified ...

The Limitations of Traditional Learning Methods The first step in disruption is recognizing what no longer works. Traditional education faces several challenges: Standardized pace that fails to cater ...

Blind docking methods show potential in virtual screening allosteric ligands, and deep learning methods, such as DiffDock, achieve state-of-the-art performance on protein–ligand complex prediction ...

Abstract: Learning-based distribution system state estimation (DSSE) methods typically depend on sufficient fully labeled data to construct mapping functions. However, collecting historical labels ...

Objective: Develop a reliable, automated deep learning-based method for accurate measurement of penile curvature (PC) using 2-dimensional images. Materials and methods: A set of nine 3D-printed models ...

The proposed model used sequence-structure information along with deep learning as a discriminative method. The proposed model achieved the highest accuracy; however, the authors ignored optimization ...