AIMC Topic: Workforce
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Design and interactive performance of human resource management system based on artificial intelligence.
PloS one
Jan 28, 2022
The purpose is to strengthen Human Resources Management (HRM) through information management using Artificial Intelligence (AI) technology. First, the selection criteria of the applicant's resume during recruitment and the formulation standards of th...
Exploring the Black Box of Managing Total Rewards for Older Professionals in the Canadian Financial Services Sector.
Canadian journal on aging = La revue canadienne du vieillissement
Dec 10, 2021
This study extends our knowledge about the management of older employees in the sector of financial services, which faces enormous transformational pressures (e.g., emergence of artificial intelligence, digital services). Based on the black box model...
Evaluation and Image Analysis of Enterprise Human Resource Management Based on the Simulated Annealing-Optimized BP Neural Network.
Computational intelligence and neuroscience
Nov 6, 2021
With the continuous development of social economy and the intensification of social competition, human resource management plays a more and more important role in the whole resource system. How to give full play to the advantages of human resources h...
Design and Simulation of Human Resource Allocation Model Based on Double-Cycle Neural Network.
Computational intelligence and neuroscience
Oct 25, 2021
The rationalization of human resource management is helpful for enterprises to efficiently train talents in the field, improve the management mode, and increase the overall resource utilization rate of enterprises. The current computational models ap...
Artificial intelligence in radiation oncology: A review of its current status and potential application for the radiotherapy workforce.
Radiography (London, England : 1995)
Sep 4, 2021
OBJECTIVE: Radiation oncology is a continually evolving speciality. With the development of new imaging modalities and advanced imaging processing techniques, there is an increasing amount of data available to practitioners. In this narrative review,...
Future of machine learning in paediatrics.
Archives of disease in childhood
Jul 22, 2021
Machine learning (ML) is a branch of artificial intelligence (AI) that enables computers to learn without being explicitly programmed, through a combination of statistics and computer science. It encompasses a variety of techniques used to analyse an...
Artificial intelligence reporting guidelines: what the pediatric radiologist needs to know.
Pediatric radiology
Jul 1, 2021
There has been an exponential rise in artificial intelligence (AI) research in imaging in recent years. While the dissemination of study data that has the potential to improve clinical practice is welcomed, the level of detail included in early AI re...
Analysis of Enterprise Human Resources Demand Forecast Model Based on SOM Neural Network.
Computational intelligence and neuroscience
Jun 21, 2021
Human resource planning is the prerequisite of human resource management, and the basic work of human resource planning is to predict human resource demand. Scientific and reasonable human resource demand forecasting results can provide important dat...
Could a rising robot workforce make humans less prejudiced?
The American psychologist
Jan 9, 2020
Automation is becoming ever more prevalent, with robot workers replacing many human employees. Many perspectives have examined the economic impact of a robot workforce, but here we consider its social impact: How will the rise of robot workers affect...
Integrating Artificial Intelligence Into Radiologic Practice: A Look to the Future.
Journal of the American College of Radiology : JACR
Nov 30, 2019
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