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Written Reminiscences of Dorothea Jansen
These written responses were completed by Dorothea Jansen as part of Project 2020: A Collaborative Oral History. These recollections provide insight into the COVID-19 pandemic and critical year 2020, notably from the perspective...
Published by: Winthrop University
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...
Micromagnetic Tomography for Paleomagnetism and Rock-Magnetism.
Our understanding of the past behavior of the geomagnetic field arises from magnetic signals stored in geological materials, e.g., (volcanic) rocks. Bulk rock samples, however, often contain magnetic grains that differ in...
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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...
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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...
Assessing the Effectiveness of Textual Recommendations in KoopaML
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...
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...
A ML framework to predict permeability of highly porous media based on PSD
H Yang, Y Ke, D Zhang
Jan 28, 2022
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...
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A ML framework to predict permeability of highly porous media based on PSD
H Yang, Y Ke, D Zhang
Mar 10, 2021
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...
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A ML framework to predict permeability of highly porous media based on PSD
Haoyu Yang, Yan Ke, Duo Zhang
Mar 10, 2021
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...
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Bouncing back from psychological contract breach
The post-violation model of the psychological contract outlines four ways in which a psychologicalcontract may be resolved after breach (i.e., psychological contract thriving, reactivation, impairment,and dissolution). To...
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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...
Workplace flexibility across the lifespan
Pieter Bal, Paul G W Jansen
Jan 01, 0001
As demographic changes impact the workplace, governments, organizations and workers are
looking for ways to sustain optimal working lives at higher ages. Workplace flexibility has been
introduced as a potential way...
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The impact of career customization on work outcomes
The current paper investigated the longitudinal effects of mass career customization (MCC) on job attitudes and objective career outcomes of employees in a professional service firm in the Netherlands. Based on theory on...
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Bouncing back from psychological contract breach
The post-violation model of the psychological contract outlines four ways in which a psychologicalcontract may be resolved after breach (i.e., psychological contract thriving, reactivation, impairment,and dissolution). To...
Published by:
Integrating Unsupervised and Supervised ML Models for Analysis of Synthetic Data From VAE, GAN, and Clustering of Variables
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...
Proliferating dendritic cell progenitors in human blood
CD34+cells in human cord blood and marrow are known to give rise to dendritic cells (DC), as well as to other myeloid lineages. CD34+cells are rare in adult blood, however, making it difficult to use CD34 + ceils to ascertain if...
Published by: Rockefeller University
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...
Workplace flexibility across the lifespan
Pieter Bal, Paul G W Jansen
Jan 01, 0001
As demographic changes impact the workplace, governments, organizations and workers are
looking for ways to sustain optimal working lives at higher ages. Workplace flexibility has been
introduced as a potential way...
Published by:

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