Artificial Intelligence Medical Compendium

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

Showing 72,561 to 72,570 of 235,116 articles

Neuroadaptive fixed-time fault-tolerant containment control of high-order MIMO Nonlinear multi-agent systems in affine strict-feedback form.

Neural networks : the official journal of the International Neural Network Society
This paper is concerned with the fixed-time containment control problem for high-order MIMO nonlinear multi-agent systems with external disturbances and actuator faults. First, in the backstepping framework, a neuroadaptive fixed-time containment con... read more 

Supervised machine learning and molecular docking modeling to identify potential Anti-Parkinson's agents.

Journal of molecular graphics & modelling
Parkinson's disease is a neurodegenerative condition that affects the brain's neurons, and causes malfunction of nerve cells and their death. A neurotransmitter called dopamine interacts with the part of the brain in charge of coordination and moveme... read more 

Meta-tuning and fast optimization of machine learning models for dynamic methane prediction in anaerobic digestion.

Bioresource technology
This study evaluates the performance of several optimization algorithms for tuning a data preparation and hyperparameter optimization pipeline applied to machine and deep learning models predicting methane production. Bayesian ridge regression and re... read more 

AI-driven optimization of spinal implant design using parametric modelling.

Colloids and surfaces. B, Biointerfaces
This study aimed to enhance vertebral implant design by using a parametric spine model and advanced simulation techniques to evaluate biomechanical behaviours under dynamic physiological conditions using Finite Element Analysis (FEA) in ANSYS Workben... read more 

SPAST: Arbitrary style transfer with style priors via pre-trained large-scale model.

Neural networks : the official journal of the International Neural Network Society
Given an arbitrary content and style image, arbitrary style transfer aims to render a new stylized image which preserves the content image's structure and possesses the style image's style. Existing arbitrary style transfer methods are based on eithe... read more 

Semantic-Rearrangement-based Hierarchical Alignment for domain generalized segmentation.

Neural networks : the official journal of the International Neural Network Society
Domain generalized semantic segmentation is an essential computer vision task, for which models only leverage source data to learn semantic segmentation towards generalizing to the unseen target domains. Previous works typically address this challeng... read more 

Enhancing the transferability of adversarial attacks via Scale Enriching.

Neural networks : the official journal of the International Neural Network Society
Deep learning models are vulnerable to adversarial attacks. Transfer-based adversarial examples are crafted against surrogate models and transferred to victim models. However, under the black-box settings, most adversaries have poor transferability o... read more 

Fixed-time adaptive neural network compensation control for uncertain nonlinear systems.

Neural networks : the official journal of the International Neural Network Society
Uncertainties are the main obstacle to improving the control performance of nonlinear systems. To address this challenge, this paper proposes a fixed-time adaptive neural network compensation control method for a class of high-order nonlinear systems... read more 

Call category classification of the isolation-induced ultrasonic vocalizations emitted by BTBR TItpr3/J mouse pups exposed to different perinatal diets.

Brain research
Autism spectrum disorder (ASD) is characterized by deficits in social communication and repetitive behaviors/restricted interests that may be diagnosed as early as 2 years of age. This suggests that the pathology underlying the disorder is present du... read more 

Real-time and accurate stereo matching via tri-fusion volume for stereo vision.

Neural networks : the official journal of the International Neural Network Society
In the field of real-time stereo matching, a concise and informative cost volume is crucial for achieving high efficiency and accuracy. To this end, in this paper, we propose the Tri-Fusion Volume (TFV) to effectively fuse both texture details and si... read more