Results 91 to 100 of about 4,324 (256)
VIEW, EarlyView.Lymphoma is a group of blood cancers that can appear in lymph nodes, blood, bone marrow, spleen, liver, or the central nervous system, which makes drug delivery and disease monitoring difficult. This review summarizes how nanomedicine technologies may improve targeted treatment and imaging, while carefully separating approved or guideline‐supported ...
Mohd Ahmar Rauf +5 more
wiley +1 more source
Dictionary Learning Based Scheme for Adversarial Defense in Continuous-Variable Quantum Key Distribution. [PDF]
Entropy (Basel), 2023 Li S +5 more
europepmc +1 more source
World Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.ABSTRACT Objective To provide an overview of potential biases resulting from the utilization of artificial intelligence (AI) in otolaryngology and techniques to mitigate them. Data Sources Literature review and expert opinion. Conclusions AI promises to fundamentally transform medicine.
Matthew T. Ryan, David A. Gudis
wiley +1 more source
Adversarial training and deep k-nearest neighbors improves adversarial defense of glaucoma severity detection. [PDF]
Heliyon, 2022 Riza Rizky LM, Suyanto S.
europepmc +1 more source
Credit‐Driven Adaptive Grouping for Refined Cooperative Multi‐Agent Reinforcement Learning
CAAI Transactions on Intelligence Technology, EarlyView.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
Time-Constrained Adversarial Defense in IoT Edge Devices through Kernel Tensor Decomposition and Multi-DNN Scheduling. [PDF]
Sensors (Basel), 2022 Kim M, Joo S.
europepmc +1 more source
Robust Multi‐Source Batch Normalisation for Test‐Time Batch Adaptation
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Test‐Time Batch Adaptation (TTBA) aims to adapt a pre‐trained source model to small, unlabelled target batches at test time. The TTBA methods focus on adapting the pre‐trained model or the target data in a one‐to‐one alignment paradigm. However, these one‐to‐one alignment paradigms assume that the source domain may share the same knowledge ...
Xinlin Xiao +3 more
wiley +1 more source
Research on adversarial attack and defense of photovoltaic power prediction
Dianzi Jishu YingyongDeep neural networks have been widely used in photovoltaic power prediction, but they are vulnerable to adversarial attacks. In order to improve the robustness of the prediction model, an adversarial attack algorithm based on fast gradient sign method ...
Zhou Wang
doaj +1 more source
Australian Journal of Public Administration, EarlyView.ABSTRACT It is widely recognised that many policy systems are complex, requiring collaboration across different organisations and sectors to address socioeconomic outcomes and inequalities. Yet, the public policy literature is dominated by rational–technical frameworks that struggle to understand complex systems. This paper applies ideas from the field
Jade Hart +3 more
wiley +1 more source
‘Pro‐Germans in the Pulpits’: The Queensland Presbyterian Church and the Great War
Journal of Religious History, EarlyView.During World War I, Protestant churches in Australia, on the whole, enthusiastically supported the war effort. The Queensland Presbyterian Church was a significant exception. This study analyses discord and tensions among its clergymen about what constituted an appropriate response to the war.
Mark Cryle
wiley +1 more source