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ML-SIM
Structured illumination microscopy (SIM) has become an important technique for optical super-resolution imaging because it allows a doubling of image resolution at speeds compatible with live-cell imaging. However, the...
Published by: Biomedical optics express
ML-SIM
Structured illumination microscopy (SIM) has become an important technique for
optical super-resolution imaging because it allows a doubling of image resolution at speeds
compatible with live-cell imaging. However, the...
ML-EC2
A multi-label variant of email classification named ML-EC2 (multi-label email classification using clustering) has been proposed in this work. ML-EC2 is a hybrid algorithm based on text clustering, text classification...
Published by: IGI Global Scientific Publishing
Assessing the Effectiveness of Textual Recommendations in KoopaML
Pablo Antúnez-Muiños, Pablo Pérez-Sánchez, Andrea Vázquez-Ingelmo, Francisco García-Peñalvo, Antonio Sánchez-Puente, Víctor Vicente-Palacios, Alicia García-Holgado, P. Dorado-Díaz, Jesús Sampedro-Gómez, Ignacio Cruz-González, Pedro Sánchez
Jan 01, 2024
Artificial intelligence (AI) integration, notably in healthcare, has been significant, yet effective implementation in critical areas requires expertise. KoopaML, a previously developed visual platform, aims at bridging this...
Published by: IGI Global Scientific Publishing
A Proposal for Research on the Application of AI/ML in ITPM
According to the market research firm Tractica, the global artificial intelligence software market is forecast to grow to 126 billion by 2025. Additionally, the Gartner group predicts that during the same time as much as 80% of...
Published by: IGI Global Scientific Publishing
A ML framework to predict permeability of highly porous media based on PSD
Abstract
Using machine learning (ML) method to predict permeability of porous media has shown great potential in recent years. A current problem is the lack of effective models to...
A ML framework to predict permeability of highly porous media based on PSD
Abstract
Using machine learning (ML) method to predict permeability of porous media has shown great potential in recent years. A current problem is the lack of effective models to...
A ML framework to predict permeability of highly porous media based on PSD
Abstract: Using machine learning (ML) method to predict permeability of porous media has shown great potential in recent years. A current problem is the lack of effective models to account for highly porous media with dilated...
434 MHz Environmentally Safe Monitoring Schema for Vehicular Network by AI-ML-IoT Technologies
Connected vehicular tracking schema operated in environmentally safe radio frequency of 434 MHz, artificial intelligence, and machine learning and IoT technology (CVT-AIML-IoT) is cost effective and secured tracking or device...
Published by: IGI Global Scientific Publishing
Sitting Less and Moving More
Through a hypertension lens, this review focuses on the serious health implications and potential counter-measures for the high volumes of uninterrupted sitting that characterises modern lifestyles. Reducing and breaking up...
Rise and Recharge
Abigail S Morris, Kelly A Mackintosh, David Dunstan, Neville Owen, Paddy Dempsey, Thomas Pennington, Melitta A McNarry
Dec 12, 2020
This feasibility study evaluated the effects of an individual-level intervention to target office workers total and prolonged sedentary behaviour during working hours, using an e-health smartphone application. A three-arm...
Lead ammunition residues in a hunted Australian grassland bird, the stubble quail (Coturnix pectoralis)
Jordan O Hampton, Heath Dunstan, Simon D Toop, Jason S Flesch, Alessandro Andreotti, Deborah J Pain
May 22, 2022
Scavenging and predatory wildlife can ingest lead (Pb) from lead-based ammunition and become poisoned when feeding on shot game animals. Humans can similarly be exposed to ammunition-derived lead when consuming wild-shot game...
Sedentary behavior as a risk factor for cognitive decline? A focus on the influence of glycemic control in brain health.
Michael J Wheeler, Paddy C Dempsey, Megan S Grace, Kathryn A Ellis, Paul A Gardiner, Daniel J Green, David W Dunstan
Dec 18, 2019
Cognitive decline leading to dementia represents a global health burden. In the absence of targeted pharmacotherapy, lifestyle approaches remain the best option for slowing the onset of dementia. However, older adults spend very...
Integrating Unsupervised and Supervised ML Models for Analysis of Synthetic Data From VAE, GAN, and Clustering of Variables
Lakshmi Prayaga, Krishna Devulapalli, Chandra Prayaga, Aaron Wade, Gopi Reddy, Sri Pola
Jan 01, 2024
Clustering of variables is a specialized approach for dimensionality reduction. This strategy is evaluated for data reduction with a Kaggle diabetes dataset. Since the original dataset is small, Generative Adversarial Networks...
Published by: IGI Global Scientific Publishing
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