AIMC Topic: Efficiency
Clear Filters Showing 21 to 30 of 40 articles
Can Artificial Intelligence Improve the Energy Efficiency of Manufacturing Companies? Evidence from China.
International journal of environmental research and public health
Feb 13, 2022
Improving energy efficiency is an important way to achieve low-carbon economic development, a common goal of most nations. Based on the comprehensive survey data of enterprises above a designated size in Guangdong Province, this paper studies the imp...
The Value of Artificial Intelligence for Healthcare Decision Making-Lessons Learned.
Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research
Jan 31, 2022
Assessing the Economic Value of Clinical Artificial Intelligence: Challenges and Opportunities.
Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research
Oct 9, 2021
OBJECTIVES: Clinical artificial intelligence (AI) is a novel technology, and few economic evaluations have focused on it to date. Before its wider implementation, it is important to highlight the aspects of AI that challenge traditional health techno...
Multi-Robot Preemptive Task Scheduling with Fault Recovery: A Novel Approach to Automatic Logistics of Smart Factories.
Sensors (Basel, Switzerland)
Sep 30, 2021
This paper presents a novel approach for Multi-Robot Task Allocation (MRTA) that introduces priority policies on preemptive task scheduling and considers dependencies between tasks, and tolerates faults. The approach is referred to as Multi-Robot Pre...
Evaluating the Work Productivity of Assembling Reinforcement through the Objects Detected by Deep Learning.
Sensors (Basel, Switzerland)
Aug 19, 2021
With the rapid development of deep learning, computer vision has assisted in solving a variety of problems in engineering construction. However, very few computer vision-based approaches have been proposed on work productivity's evaluation. Therefore...
Research on the evolution and driving forces of the manufacturing industry during the "13th five-year plan" period in Jiangsu province of China based on natural language processing.
PloS one
Aug 18, 2021
The development of China's manufacturing industry has received global attention. However, research on the distribution pattern, changes, and driving forces of the manufacturing industry has been limited by the accessibility of data. This study propos...
The influence of machine learning-based knowledge management model on enterprise organizational capability innovation and industrial development.
PloS one
Dec 1, 2020
The aims are to explore the construction of the knowledge management model for engineering cost consulting enterprises, and to expand the application of data mining techniques and machine learning methods in constructing knowledge management model. T...
Convolutional neural network-automated hepatobiliary phase adequacy evaluation may optimize examination time.
European journal of radiology
Jan 14, 2020
PURPOSE: To develop and evaluate the performance of a fully-automated convolutional neural network (CNN)-based algorithm to evaluate hepatobiliary phase (HBP) adequacy of gadoxetate disodium (EOB)-enhanced MRI. Secondarily, we explored the potential ...
Machine learning methods for leveraging baseline covariate information to improve the efficiency of clinical trials.
Statistics in medicine
Nov 25, 2018
Clinical trials are widely considered the gold standard for treatment evaluation, and they can be highly expensive in terms of time and money. The efficiency of clinical trials can be improved by incorporating information from baseline covariates tha...
Improved freeze drying efficiency by ice nucleation proteins with ice morphology modification.
Food research international (Ottawa, Ont.)
Dec 14, 2017
This study aims to use ice nucleation proteins (INPs) as a novel approach to improve the efficiency of freeze drying process and investigate the related mechanism of ice morphology. Our results show that INPs can significantly improve freeze drying e...
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