AIMC Topic: Motivation

Clear Filters Showing 51 to 60 of 172 articles

Assessing incentives to increase digital payment acceptance and usage: A machine learning approach.

PloS one
An important step to achieve greater financial inclusion is to increase the acceptance and usage of digital payments. Although consumer adoption of digital payments has improved dramatically globally, the acceptance and usage of digital payments for ...

Improved Classification Approach for Fruits and Vegetables Freshness Based on Deep Learning.

Sensors (Basel, Switzerland)
Classification of fruit and vegetable freshness plays an essential role in the food industry. Freshness is a fundamental measure of fruit and vegetable quality that directly affects the physical health and purchasing motivation of consumers. In addit...

Exploration of Variables Predicting Sense of School Belonging Using the Machine Learning Method-Group Mnet.

Psychological reports
The purpose of this study was to explore variables related to school belonging from a holistic perspective, including a large number of variables in one model, different to the traditional analytical method. Using 2015 data from the Program for Inter...

Expectations for Artificial Intelligence (AI) in Psychiatry.

Current psychiatry reports
PURPOSE OF REVIEW: Artificial intelligence (AI) is often presented as a transformative technology for clinical medicine even though the current technology maturity of AI is low. The purpose of this narrative review is to describe the complex reasons ...

Designing all-pay auctions using deep learning and multi-agent simulation.

Scientific reports
We propose a multi-agent learning approach for designing crowdsourcing contests and All-Pay auctions. Prizes in contests incentivise contestants to expend effort on their entries, with different prize allocations resulting in different incentives and...

A Needs Learning Algorithm Applied to Stable Gait Generation of Quadruped Robot.

Sensors (Basel, Switzerland)
Based on Maslow's hierarchy of needs theory, we have proposed a novel machine learning algorithm that combines factors of the environment and its own needs to make decisions for different states of an agent. This means it can be applied to the gait g...

Strategies for Ideological and Political Education in Colleges and Universities Based on Deep Learning.

Computational intelligence and neuroscience
Ideological and political education in colleges and universities is routinely burdened with the job of building morality and cultivating people, which is related to the cultivation of college students' ideals and beliefs, spiritual pursuits, and poli...

Singapore radiographers' perceptions and expectations of artificial intelligence - A qualitative study.

Journal of medical imaging and radiation sciences
INTRODUCTION: With the emergence of artificial intelligence (AI) in medical imaging, radiographers are likely to be at the forefront of this technological advancement. Studies have therefore been conducted recently to understand radiographers' opinio...