IEEE

A Hybrid Machine Learning Approach Utilizing CNN Feature Extraction with Traditional Classifier to Identify Strawberry Leaf Diseases

Abstract: Strawberry production is globally significant because it contains high nutrients. Strawberry leaf disease shapes a significant barrier to strawberry cultivation worldwide. Numerous ...
SciELO

Artificial intelligence in the diagnosis and management of dysphagia: a scoping review

Purpose This scoping review aimed to map and synthesize evidence on technological advancements using Artificial Intelligence in the diagnosis and management of dysphagia. We followed the PRISMA ...
Chemical Engineering

Enhancing Characterization of Thermal Barrier Coatings

Combining microscopy and machine-learning techniques leads to faster, more precise analyses of critical coating materials ...
Scientific Research Publishing

Wang, A.Y., Murdock, R.J., Kauwe, S.K., Oliynyk, A.O., Gurlo, A., Brgoch, J., et al. (2020) Machine Learning for Materials Scientists: An Introductory Guide toward Best ...

ABSTRACT: In the world of Material Informatics (MI), conventional methods involve tremendous laboratory work or extensive simulations that may not yield the expected results. Our objectives are to ...
Scientific Research Publishing

Rodrigues, F., Ortelli, N., Bierlaire, M. and Pereira, F.C. (2022) Bayesian Automatic Relevance Determination for Utility Function Specification in Discrete Choice Models. IEEE ...

ABSTRACT: In the world of Material Informatics (MI), conventional methods involve tremendous laboratory work or extensive simulations that may not yield the expected results. Our objectives are to ...
IEEE

Fast Robust Sparse Bayesian Learning Image Reconstruction Model Based on Generalized Approximate Message Passing

Abstract: Sparse Bayesian learning (SBL) is an algorithm for high-dimensional data processing based on Bayesian statistical theory. Its goal is to improve the generalization ability and efficiency of ...