Design of a MobilNetV2-Based Retrieval System for Traditional Cultural Artworks
Aiming at the problem that it is difficult for art teachers to take into account each student in the art appreciation education in colleges and universities, this paper proposes a retrieval system for traditional cultural works of art. Dense connections ...
A Deep Learning-Based Microgrid Energy Management Method Under the Internet of Things Architecture
Given that the current microgrid incorporates highly connected distributed energy sources, the conventional model control methods do not suffice to support complex and ever-changing operating scenarios. This paper proposes a deep learning-based energy ...
A Tripartite Evolutionary Game Model for Chinese-Style Education Investment in ASEAN Under Local Government Policy
With the deepening of the Belt and Road Initiative (BRI), many Chinese have been dispatched to Southeast Asian countries to participate in technical support and management. However, there are no OCE schools locally that can provide educational resources ...
Residential Electricity Consumption Prediction Method Based on Deep Learning and Federated Learning Under Cloud Edge Collaboration Architecture
Traditional residential electricity prediction methods have problems, such as difficulty in ensuring user privacy and poor convergence speed due to the influence of Different Residential Electricity Consumption (REC) habits. A REC prediction method based ...
Developing a Framework for Interactions in CBT-Based Serious Games on Smartphones
While there are numerous serious games that explore cognitive behavioral therapy (CBT) techniques through gamification on smartphones, the framework for developing interactions is not often thoroughly discussed. The objective of this study is to outline ...
Load Frequency Control Strategy for Islanded Microgrid Based on SCQ(λ) Algorithm
In the evolving landscape of power grids, where green transportation and intermittent clean energy play a crucial role, ensuring the security and reliability of the urban network is of utmost importance. However, the increasing volatility associated with ...
An Improved Face Mask Detection Simulation Algorithm Based on YOLOv5 Model
This paper proposes an advanced approach for detecting faces with mask occlusion based on YOLOv5 to address various challenges encountered in face detection, including illumination blur and occlusion. The proposed methodology involves the integration of ...
Simulation-Based Machine Learning for Predicting Academic Performance Using Big Data
In this study, simulation and big data analytics are combined with machine learning techniques, specifically K-means clustering, Apriori algorithm, and a stacked integrated learning model, to predict academic performance of college students with a high ...
Optimum Insole Hardness for Attenuating Peak Plantar Pressure Under Simulated Loading Scenarios
To provide optimal cushioning capacity, an in-depth understanding of the biomechanical interactions between the foot and therapeutic insoles is mandatory. The goal of this study was to quantify the hardness of plantar soft tissues (PSTs) and investigate ...
Simulation Framework for Substation Siting Integrating Load, Land Use, Neighborhood, and Cost Analysis
This study presents a comprehensive framework for substation siting to address power demand and urbanization challenges. It integrates economic, social, and environmental dimensions to ensure reliable power supply systems. Using simulation techniques, ...
Importance-Performance Analysis (IPA) in Researching the Satisfaction of Simulation
Students are the customers of higher education, and their satisfaction directly influences service quality in the tertiary sector. It is essential, therefore, to research students' views. This can be done by applying important-performance analysis (IPA), ...