Results 191 to 200 of about 2,475,679 (305)

Active Inference Modeling of Socially Shared Cognition in Virtual Reality. [PDF]

Sensors (Basel)
Arima Y, Okada M.
europepmc   +1 more source

Predicting Postresection Colorectal Liver Metastases Recurrence Using Advanced Graph Neural Networks with Explainability and Causal Inference

Advanced Intelligent Systems, EarlyView.
This study introduces a framework that combines graph neural networks with causal inference to forecast recurrence and uncover the clinical and pathological factors driving it. It further provides interpretability, validates risk factors via counterfactual and interventional analyses, and offers evidence‐based insights for treatment planning ...
Jubair Ahmed, Md. Abdur Rahman, Mohaimenul Azam Khan Raiaan, Sami Azam   +3 more
wiley   +1 more source

Decision, Inference, and Information: Formal Equivalences Under Active Inference. [PDF]

Entropy (Basel)
Sweeney P, Ruiz-Serra J, Harré MS.
europepmc   +1 more source

Elastic Fast Marching Learning from Demonstration

Advanced Intelligent Systems, EarlyView.
This article presents Elastic Fast Marching Learning (EFML), a novel approach for learning from demonstration that combines velocity‐based planning with elastic optimization. EFML enables smooth, precise, and adaptable robot trajectories in both position and orientation spaces.
Adrian Prados, Brendan Hertel, Ramon Barber, Reza Azadeh   +3 more
wiley   +1 more source

Towards AI-based precision rehabilitation via contextual model-based reinforcement learning. [PDF]

J Neuroeng Rehabil
Ye D, Luo H, Winstein C, Schweighofer N.
europepmc   +1 more source

Bayesian models for scalable machine learning [PDF]

In the last years we have witnessed an unprecedented increase in the volume and complexity of the available data. To reason about the world and address scientific questions, we need to build expressive and scalable models that can leverage this extraordinary amount of information.
openaire  

Cross‐Modal Characterization of Thin‐Film MoS2 Using Generative Models

Advanced Intelligent Systems, EarlyView.
Cross‐modal learning is evaluated using atomic force microscopy (AFM), Raman spectroscopy, and photoluminescence spectroscopy (PL) through unsupervised learning, regression, and autoencoder models. Autoencoder models are used to generate spectroscopy data from the microscopy images.
Isaiah A. Moses, Chen Chen, Joan M. Redwing, Wesley F. Reinhart   +3 more
wiley   +1 more source

A Deep Autoencoder Compression-Based Genomic Prediction Method for Whole-Genome Sequencing Data. [PDF]

Biology (Basel)
Song H, Dong T, Wang W, Yan X, Geng C, Bai S, Hu H.   +6 more
europepmc   +1 more source

SmartDetectAI: An AI‐Powered Web App for Real‐Time Colorimetric Detection of Heavy Metals in Water

Advanced Intelligent Systems, EarlyView.
SmartDetectAI integrates silver nanoparticle‐based colorimetric sensing with an AI‐powered web app for rapid, on‐site detection of toxic heavy metals in water. By combining aggregation‐driven optical changes with machine learning analysis of red ‐ green ‐ blue values, the platform achieves portable, low‐cost, and accurate monitoring of Hg‐ and Cd‐based
Nishat Tasnim, Mirza M. A. Tunur, Fahad Arefin, Shahad Saroar, Md. Wahadoszamen, Taslim Ur Rashid, Aminul I. Talukder, Md. Nurul Amin, Mahmudur Rahman, Ahsan Habib   +9 more
wiley   +1 more source

Decision-Making in Repeated Games: Insights from Active Inference. [PDF]

Behav Sci (Basel)
Yuan H, Wang L, Gao W, Tao T, Fan C.
europepmc   +1 more source