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Results: 922
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...
Synthesis of ZrO2 Based Nanofluids for Cooling and Insulation of Transformers
Nanofluids have recently emerged as an important new technology for heat transfer in various engineering applications. In this work, zirconia nanoparticles (ZrO2) were synthesized using a microwave-assisted sol-gel method for...
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...
Effects of ZnO and SiO<sub>2</sub> Nanoparticle Additions on the Structural, Water Absorption and Mechanical Properties of Polyvinyl Alcohol (PVA) Films
Nanocomposite films were prepared with polyvinyl alcohol (PVA) as a base matrix and ZnO, SiO2 nanoparticles as a filler material. SiO2 and ZnO nanoparticles were synthesized using solgel and co-precipitation methods...
Role of Fe (x=0-0.15) Substitution on Structural, Magnetic, and Transport Properties of the La0.7Sr0.3FexMn1-xO3 System
This paper investigates the effect of Fe substitution on the structural, magnetic and transport properties of the La0.7Sr0.3MnxFe1-xO3 (LSMO) system where x ranged between 0 and 0.15. Samples were prepared using a non-aqueous...
Synthesis of ZrO2 Based Nanofluids for Cooling and Insulation of Transformers
Nanofluids have recently emerged as an important new technology for heat transfer in various engineering applications. In this work, zirconia nanoparticles (ZrO2) were synthesized using a microwave-assisted sol-gel method for...
Effects of ZnO and SiO<sub>2</sub> Nanoparticle Additions on the Structural, Water Absorption and Mechanical Properties of Polyvinyl Alcohol (PVA) Films
Nanocomposite films were prepared with polyvinyl alcohol (PVA) as a base matrix and ZnO, SiO2 nanoparticles as a filler material. SiO2 and ZnO nanoparticles were synthesized using solgel and co-precipitation methods...
Role of Fe (x=0-0.15) Substitution on Structural, Magnetic, and Transport Properties of the La0.7Sr0.3FexMn1-xO3 System
This paper investigates the effect of Fe substitution on the structural, magnetic and transport properties of the La0.7Sr0.3MnxFe1-xO3 (LSMO) system where x ranged between 0 and 0.15. Samples were prepared using a non-aqueous...
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
Clinical Pharmacokinetics, Safety, and Tolerability of a Novel, First-in-Class TRPV4 Ion Channel Inhibitor, GSK2798745, in Healthy and Heart Failure Subjects.
Application-Specific Discriminant Analysis of Cardiac Anomalies Using Shift-Invariant Wavelet Transform
Automatic arrhythmia detection in electrocardiogram (ECG) using supervised learning has gained significant considerations in recent years. This paper projects the performance analysis of classifiers such as support vector...
Published by: IGI Global Scientific Publishing
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
Leveraging TenSEAL
In our interconnected world, the use of Internet of Things (IoT) devices generates vast amounts of sensitive data. To secure this data while extracting insights, privacy-preserving machine learning (PPML) tools like Fully...
Published by: IGI Global Scientific Publishing
Sensitivity of tropospheric ozone to chemical kinetic uncertainties in air masses influenced by anthropogenic and biomass burning emissions
We use a Lagrangian chemical transport model with a Monte-Carlo approach to determine impacts of kinetic rate uncertainties on simulated concentrations of ozone, NOy and OH in a high-altitude biomass burning plume and...
Extensive use of mesopelagic waters by a Scalloped hammerhead shark (Sphyrna lewini) in the Red Sea
Background: Despite being frequently landed in fish markets along the Saudi Arabian Red Sea coast, information regarding fundamental biology of the Scalloped hammerhead shark (Sphyrna lewini) in this region is scarce. Satellite...
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