Green Supply Chain Management Optimization Based on Chemical Industrial Clusters
L Jihu - arXiv preprint arXiv:2406.00478, 2024 - arxiv.org
Post-pandemic, the chemical sector faces new challenges crucial to national progress, with
a pressing need for rapid transformation and upgrading. The pandemic's impact and …
a pressing need for rapid transformation and upgrading. The pandemic's impact and …
Student self-management, academic achievement: Exploring the mediating role of self-efficacy and the moderating influence of gender insights from a survey …
Z Zhao, P Ren, Q Yang - arXiv preprint arXiv:2404.11029, 2024 - arxiv.org
Excellent students are not only those who master more effective and efficient learning
techniques to acquire and apply information. Even in the absence of correct learning, they …
techniques to acquire and apply information. Even in the absence of correct learning, they …
Exploring the Path of Transformation and Development for Study Abroad Consultancy Firms in China
P Ren, Z Zhao, Q Yang - arXiv preprint arXiv:2404.11034, 2024 - arxiv.org
In recent years, with the changing landscape of international education and the growing
demand from Chinese students, study abroad consultancy firms in China need to adopt …
demand from Chinese students, study abroad consultancy firms in China need to adopt …
Bridging the gap: The role of educational technology in promoting educational equity
M Tang, P Ren, Z Zhao - The Educational Review, USA, 2024 - hillpublisher.com
In China, educational technology has been proposed as a means of promoting educational
equity by improving access to information and resources for all students. However, there is a …
equity by improving access to information and resources for all students. However, there is a …
[PDF][PDF] Double-Compressed Artificial Neural Network for Efficient Model Storage in Customer Churn Prediction
In the rapidly evolving field of Artificial Intelligence (AI), efficiently storing and managing AI
models is crucial, particularly as their complexity and size increase. This paper explores the …
models is crucial, particularly as their complexity and size increase. This paper explores the …
Student perceptions of confidence in learning and teaching before and after teaching improvements
As part of an overall research program investigating the impact of changes in teaching
strategies on students' engineering social cognitions (self-efficacy and outcome …
strategies on students' engineering social cognitions (self-efficacy and outcome …
Deep Learning-Based Multifunctional End-to-End Model for Optical Character Classification and Denoising
Optical Character Recognition (OCR) has revolutionized document processing by
converting scanned documents, PDFs, and images captured by cameras into editable and …
converting scanned documents, PDFs, and images captured by cameras into editable and …
A Review of the Comprehensive Application of Big Data, Artificial Intelligence, and Internet of Things Technologies in Smart Cities
Y Yao - Journal of Computational Methods in Engineering …, 2022 - ojs.sgsci.org
As global populations rise and urbanization intensifies, cities face significant challenges in
sustainable development. Leveraging next-generation information technologies, particularly …
sustainable development. Leveraging next-generation information technologies, particularly …
Board 390: Student Perceptions of Confidence in Learning and Teaching before and after Teaching Improvements
As part of an overall research program investigating the impact of changes in teaching
strategies on students' engineering social cognitions (self-efficacy and outcome …
strategies on students' engineering social cognitions (self-efficacy and outcome …
Star Map Recognition and Matching Based on Deep Triangle Model
The star sensor is the key component of Celestial Navigation. It measures the autonomous
attitude of navigation bodies by observing stars. And it conducts image collection …
attitude of navigation bodies by observing stars. And it conducts image collection …