A5003864134- Online Learning and Analytics
- Age of Information Optimization
- Biomimetic flight and propulsion mechanisms
- Color perception and design
- Big Data Technologies and Applications
- Artificial Intelligence in Healthcare
- Energy Harvesting in Wireless Networks
- Face and Expression Recognition
- Gear and Bearing Dynamics Analysis
- Remote Sensing and Land Use
- Distributed Control Multi-Agent Systems
- Guidance and Control Systems
- Software System Performance and Reliability
- Advanced Sensor and Control Systems
- Network Packet Processing and Optimization
- Ideological and Political Education
- Color Science and Applications
- Mobile Agent-Based Network Management
- Advanced MIMO Systems Optimization
- Software Testing and Debugging Techniques
- Medical Research and Treatments
- Machine Fault Diagnosis Techniques
- Engineering and Test Systems
- Fault Detection and Control Systems
- Food Supply Chain Traceability
Shanghai University
2025
The analysis of complex flight patterns and collective behaviors in swarming insects has emerged as a significant focus across biological computational fields. Tracking these insects, like fruit fly, presents persistent challenges due to their rapid motion frequent occlusions densely populated environments. To address challenges, we propose tracking method using particle filter framework combined with Kolmogorov–Arnold Network (KAN)-Transformer model extract the global features fine-grained...
The integration of big data technology into education has opened new horizons for the analysis student learning behavior. This paper embarks on an exploration behavior portraits, driven by rich tapestry that contemporary educational environments generate. study
Abstract Hardware testing has always been the core of hardware development, and improving performance efficiency is very important for development. Because quality management insufficient, many large tools were developed using manual workshop technology in past could hardly be maintained. This can lead to cancellation project, causing major personnel property losses. Improving ensuring security are complex problems. usually conducted through automatic testing, limitations increasingly...
The traditional bearing fault type recognition algorithm has the advantages of high accuracy and good performance when dealing with pure data, but its drops sharply in actual noise environment. In order to effectively improve reliability recognition, combined huge deep learning field, one technology based on ResNet FPN. This Combined Neural Network is proposed be applied working condition. paper utilizes Case Western Reserve University CWRU dataset. First, MATLAB used simulate original data...
Student performance management is a pretty significant part of campus service construction in colleges, there are many students who fail or even delay their graduation because low grades every year. If we can provide warning for students' and realize academic support early, reduce the failure rate delayed rate, improve quality services enhance level school management. In this paper, machine learning based student prediction model established. Through mathematical analysis, seven kinds easily...
This paper investigates the integration of ideological and political education within university physics courses, particularly in context evolving landscape new engineering disciplines. Emphasizing significance nurturing innovation consciousness among students, study explores effective teaching strategies practical approaches. Drawing on empirical research educational management principles, discusses role case-based learning, social engagement, interdisciplinary exploration fostering...
This paper aims to develop a sheep face recognition system by using convolutional neural network (CNN), And combining it with disease prevention, Sheep has important applications in agricultural breeding, It can be used for the identification, individual tracking and breeding management of sheep, combines To achieve more comprehensive system, By analyzing features facial images Combined results face, Timely predict monitor health status Help discover underlying problems, take corresponding...
This paper is based on various types of campus data from universities, aiming to profile university students' behaviors. By comprehensively describing multiple dimensions and angles, it presents a comprehensive picture information status during their academic years. Using mining techniques, cluster analysis performed the behavioral profiles students discover potential patterns regularities in learning living habits. These analyses provide decision-making support for departments, helping them...