Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 35,861 to 35,870 of 223,137 articles

When radiology stops being a specialty.

European journal of radiology
Radiology has traditionally been defined as a distinct medical specialty centered on image interpretation. However, advances in imaging technology, artificial intelligence, and workflow integration are increasingly embedding imaging into broader clin... read more 

Managing behavior in AI-mediated English education: The interplay of teachers, technology, and communication willingness.

Acta psychologica
This study investigates the relations between teacher AI behavior management competence and the willingness of university students to communicate in English in AI mediated English as a foreign language classroom in China. Drawing on the Cognitive The... read more 

A noise-resilient distributed recurrent neural network for multi-agent consensus control and acoustic source localization.

Neural networks : the official journal of the International Neural Network Society
In multi-agent systems (MASs), consensus control and acoustic source localization are fundamental yet noise-sensitive tasks. While recurrent neural networks (RNNs) have shown strong potential in these domains due to their dynamic modeling capabilitie... read more 

High-resolution image deraining via dual-branch features interaction and fusion.

Neural networks : the official journal of the International Neural Network Society
Existing image deraining methods primarily focus on low-resolution images and exhibit inherent limitations when applied to high-resolution images. First, performing feature extraction directly on high-resolution images leads to a significant increase... read more 

FA-Mamba: frequency attention driven Mamba for multimodal remote sensing classification.

Neural networks : the official journal of the International Neural Network Society
Multimodal remote sensing classification plays a vital role in areas such as resource exploration and disaster monitoring. However, noise and redundancy across different modalities often hinder effective feature fusion. Existing approaches mainly rel... read more 

High accuracy raw coal analysis by LIBS via fusing feature aware and score-space anomaly detection.

Talanta
The primary objective of this study is to develop a robust ash quantification model for raw coal trucks via hierarchical grade classification and PCA-based anomaly detection. To achieve this, an integrated analytical strategy is proposed to address t... read more 

SEA: Hierarchically searching efficient adapters for pre-trained models.

Neural networks : the official journal of the International Neural Network Society
Adapting large-scale pre-trained models for downstream tasks has proven to be effective in improving performance. However, relying on the hand-crafted adapters may limit generalizability and incur extra inference overhead. Existing neural architectur... read more 

Predefined-time cluster lag synchronization of inertial neural networks: A dynamic event-triggered control.

Neural networks : the official journal of the International Neural Network Society
This work addresses the problem of predefined-time cluster lag synchronization for inertial neural networks. A dynamic event-triggered control scheme that incorporates a time-dependent exponential scaling function is proposed. Sufficient conditions a... read more 

DAG-NAS : An explainable neural architecture search framework for reinforcement learning.

Neural networks : the official journal of the International Neural Network Society
We present an explainable Neural Architecture Search (NAS) framework for Reinforcement Learning (RL). We model a feed-forward neural network as a Directed Acyclic Graph (DAG) that consists of scalar-level operations and their interconnections. Scalar... read more 

Dilated multi-Layer perceptron mixer for faster neural networks.

Neural networks : the official journal of the International Neural Network Society
Multi-Layer Perceptron Mixer (MLP-Mixer) has replaced self-attention layers with simple spatial MLP and achieved promising performances across visual tasks. However, existing MLP-Mixer methods have quadratic complexity with image resolutions and only... read more