Data-Driven Inverse Design of Silver Nanoparticle Size for Controlled Synthesis Across Multiple Systems Using Conditional Generative Models. [PDF]
Zi X +8 more
europepmc +1 more source
ABSTRACT Generalisation is a crucial aspect of deep learning, enabling models to perform well on unseen data. Currently, most optimisers that improve generalisation typically suffer from efficiency bottlenecks. This paper proposes a double‐integration‐enhanced stochastic gradient descent (DIESGD) optimiser, which treats the negative gradient as an ...
Ting Li +3 more
wiley +1 more source
Credit‐Driven Adaptive Grouping for Refined Cooperative Multi‐Agent Reinforcement Learning
ABSTRACT Policy heterogeneity is crucial for achieving sophisticated coordination in complex collaborative tasks, which has emerged as one of the key challenges in multi‐agent reinforcement learning (MARL) in recent years. Notably, the grouping paradigm has made remarkable progress in addressing policy heterogeneity.
Yirui Liu +6 more
wiley +1 more source
Image super-resolution method using a generative adversarial network incorporating attention and residual density. [PDF]
Zhang Q, Hang Y, Zhang H, Lu X, Qiu J.
europepmc +1 more source
ABSTRACT As an attestation engagement, auditing is required to provide reasonable assurance for its conclusions. Traditional auditing has limited capacity to handle unstructured data and is usually based on audit sampling techniques, which can lead to the neglect of important audit evidence during the auditing process and result in a higher audit risk,
Xiaojia Wang, Ziqing Luo, Chaoxu Mu
wiley +1 more source
Visual security defense for industrial inspection based on computer vision. [PDF]
Jiang Z, Yuan H, Zeng C, Fu L.
europepmc +1 more source
Application of Deep Learning in Virtual Power Plants—A Review
ABSTRACT The advancement of deep learning (DL) has substantially improved the power grid’s ability to model and optimise diverse and highly complex tasks. Although intelligent transformation is an inevitable trend, traditional approaches increasingly reveal limitations in computational efficiency, nonlinear nonconvex optimisation, and multi‐layer ...
Hongjie Zhu +7 more
wiley +1 more source
A minimal recurrent neural network models the robustness of interleaved practice on motor sequence learning. [PDF]
Song Y, Kim H, Kim T.
europepmc +1 more source
Trustworthy AI for medical decisions: Adversarially robust and fair machine learning prediction for Parkinson's disease. [PDF]
Muhammad J +4 more
europepmc +1 more source
Evaluation of interactive digital art healing effects based on multi modal physiological signals and generative adversarial networks (GANs): an empirical study of the neural mechanisms of emotion regulation. [PDF]
Xu Z, Xia B.
europepmc +1 more source

