Results 211 to 220 of about 8,486 (262)
Domain-Adversarial Neural Network for UWB NLOS Identification in Multiple Environments. [PDF]
Jiang S, Li J, Xu Y, Rong Y.
europepmc +1 more source
The principles of adversarial procedure and equality in international commercial arbitration
openaire +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
CCIW: Cover-Concealed Image Watermarking for Dual Protection of Privacy and Copyright. [PDF]
Li R, Wang S, Li M, Ren H.
europepmc +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
A Multi-Dimensional Vision-Based System for External Thread Defect Detection with Integrated Security Defense. [PDF]
Li L, Zhang G.
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
Ethical Architecture and Scientific Partnership: The Enduring Role of the Laboratory Animal Veterinarian. [PDF]
Suckow MA, Myers DD.
europepmc +1 more source
ABSTRACT Accurate load forecasting and reliable anomaly detection are critical for the stable operation of modern smart grids (SGs), which increasingly rely on cyber‐connected infrastructures. However, the integration of smart metres and two‐way communication exposes SGs to data integrity attacks that can manipulate consumption measurements, degrade ...
Murad Ali Khan +4 more
wiley +1 more source

