Deep learning is the fastest-growing field in artificial intelligence, helping computers make sense of large amount of data in the form of image, sound, and text. Using multiple levels of neural networks, computers now have the capacity to see, learn, and react to complex situations as well as or even better than humans. This leads to a profoundly different way of thinking about your data, your technology, and the products and services you deliver.
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Design and Practice of Online Teaching Based on "Smart Classroom": Take the "Production and Operations Management" Course as an Example
Under the background of education informationization, combining with the characteristics of "Production and Operation Management" curriculum and the problems in teaching, we design and practice an online teaching model based on "smart classroom". First, ...
Research on the Innovation of BIM Technology in the Education of Road and Bridge Engineering Specialty
BIM (Building Information Modeling) technology is widely used in the field of traffic engineering. At this stage, more and more applied universities tries to improve the effect of visual teaching by BIM technology. It discussed the necessity of ...
Construction of Practice Teaching Evaluation System for Undergraduate Introduction to Logistics Based on AHP Method and Gagne's Learning Theory
In order to enhance the scientificity of practice teaching evaluation, this paper selected three primary indexes and 17 secondary indexes to construct a practice teaching evaluation system of the course Introduction to Logistics which based on analytic ...
Research on the Application of "Micro Course Circle" in the Course of Database Principle
This paper first analyzes the profound impact of the Internet+ era on the traditional teaching mode, and expounds a new type of teaching method---the basic concepts of micro-class and micro-class circle. Then it analyzes the teaching status of the ...
A Hybrid Model for E-Learning Resources Recommendations in the Developing Countries
E-learning has changed the education style in the developed countries. However, in the developing nations such as the East African (EA) countries, the students are still challenged by the accessibility of online learning materials. In this paper, we ...
Application of Task-driven Flipped Classroom in NCO's Vocational and Technical Education
There are some common problems in vocational and technical education for NCO (Non-Commissioned of Officers), such as the low learning enthusiasm of students, weak integration of teaching contents and position requirements, and the simple teaching method,...
Incomplete Information Competition Strategy Based on Improved Asynchronous Advantage Actor Critical Model
In recent years, game theory has been widely used in the field of deep learning, mainly including intelligent competition strategies of complete information games and incomplete information games. This paper focuses on incomplete information games, and ...
Tablet Computer Truly Help Students to Master Mathematical Knowledge?
With the deepening of education reform, more and more teachers suggest their students in the classroom apply the tablet computers to do mathematics learning. Does it work? Especially in the aspect of mastering mathematics knowledge. This study chose 152 ...
Exploring Cooperative Learning in Programming SPOC
SPOC blended teaching of introducing MOOC resources into the classroom is favored by the teachers in colleges and universities. To improve students' programming skills and deep learning ability, a SPOC-STAD cooperative learning method is proposed in the ...
How Can We Manage the Blackboard Learning Management System to Enhance Student's Learning?
Blackboard is an important learning management system by many institutions. Even though student's interactions and engagements with Blackboard is an essential process that can enhance their learning, it is important to know how students interact with ...
The Construction and Practice of Electronic Technology Course Based on ICC
"Internet plus" education has greatly promoted the reform of teaching method and operating model in university courses. In this paper, taking the digital course of Electronic Technology published on the Digital Course Cloud platform of Higher Education ...
An Empirical Analysis of the Influential Factors of College Students' Academic Performance
Based on the scores of selected undergraduates with two kinds of educational system in an ordinary university, with the help of variance analysis and multiple regression, the effects of different factors and their interaction on the total scores and the ...
Monitoring and Management of Teenagers' Physical Health Based on Internet of Things Technology
In this paper, we mainly describe the Internet of things technology involved in teenagers' health monitoring value, methods, steps and matters needing attention. Physical fitness of teenagers continues to decline, our country attaches great importance ...
The Use of HPT Model to Analyze the Issue of Public School Teacher Turnover in China
The issue of teacher turnover in public schools is becoming more and more concerned. Teacher turnover not only means that the quality of teaching is not guaranteed, but also greatly weakens the competitiveness of public schools. This paper analyzed the ...
Exploring How Student Teachers' Motivation Change in Free Teacher Education Program
Teacher attrition has remained a serious issue, which has drawn enormous researcher's attention. This study explores how teaching motivations of pre-service students have changed in the first three years of their situated Free Teacher Education Program (...
Understanding and Managing the Belt and Road International Students in China
Since the Belt and Road Initiative activated in 2014, international students from the Belt and Road countries increased rapidly, constitutes the majority of international students in China. With great culture differences and limited information of the ...
Applying AI Techniques to Predict the Success of Bank Telemarketing
Telemarketing is one of the marketing methods valued by enterprises in marketing tools. Compared with general channel sales, it not only has lower cost, but also has better interaction with customers, and the entire sales process is faster. And where ...
Combining Residual learning and U-Net for Hippocampus Segmentation of Brain MRI Volume Image
In the volume image of brain MRI, the volume of hippocampus is small, the boundary between hippocampus and surrounding tissue is fuzzy, and the two-dimensional semantic segmentation network is difficult to accurately segment. In this paper, an algorithm ...
A Two-Stage Dynamic Credit Risk Assessment System
Credit risk assessment has been thought of as a critical factor in financial companies and banks in the history of development economics. Recently, there has been renewed interest in credit risk assessment using deep learning methods. However, previous ...
The Development Trend of Design Methodology under the Influence of Artificial Intelligence and Big Data
Traditional design methods are inspired by introverted self-salvation or creativity-driven design. In the era of big data, they are gradually driven by vast data. Design innovation without data is increasingly lacking in persuasion. The design of data ...
Bankruptcy Study Using Artificial Intelligence
Bankruptcy is a legal process that declares the debtor's inability to repay the debt and a subsequent chain of repayments to the creditor. Preventing the risk of company failure, or a long time, it has been a subject that the academic and industrial ...
Classification of Flowers under Complex Background Using Inception-V3 Network
In recent years, benefiting from the introduction of deep learning network algorithms such as Inception, Resnet, and Mobilenet, the accuracy of object classification has been significantly improved, especially for flower classification. Furthermore, ...
Control of an Unmanned Surface Vehicle Based on Adaptive Dynamic Programming and Deep Reinforcement Learning
This paper presents a low-level controller for an unmanned surface vehicle based on Adaptive Dynamic Programming (ADP) and deep reinforcement learning (DRL). The model-based algorithm Back-propagation Through Time and a simulation of the mathematical ...
Perspective-aware Distillation-based Crowd Counting
Recently, with the progress of deep learning technologies, crowd counting has been rapidly developed. In this work, we first introduce a perspective-aware density map generation method that is able to produce ground-truth density maps from point ...
Document Classification Based on semantic and Improved Convolutional Neural Network
In order to improve the accuracy of text classification, we present a new convolution neural network model combining keyword and word-meaning transformation. We first preprocess the text and break words, and use sense labeling for semantic keywords and ...
Applying Artificial Intelligence to Survival Prediction of Hepatocellular Carcinoma Patients
Cancer, a disease that has gradually attracted attention in the world now, it has even become one of the main causes of death. Among them, liver cancer occurs in the liver or deadly tumors starting from the liver. According to the World Cancer Report (...
- Proceedings of the 2020 4th International Conference on Deep Learning Technologies