Recommender systems in smart campus: a systematic mapping
M Hideki Mensch Maruyama, L Willig Silveira… - … and Information Systems, 2024 - Springer
Recommender systems are extremely useful tools to provide the user with information that
may be of interest. These systems are responsible for performing a series of procedures to …
may be of interest. These systems are responsible for performing a series of procedures to …
Enhancing App Usage Prediction Accuracy with GCN-Transformer Model and Meta-path Context
X Fang, H Yang, D Ding, W Gao, L Zhang… - IEEE …, 2024 - ieeexplore.ieee.org
In this paper, we introduce MP-GT, a novel Graph Neural Network model that leverages
meta-path-guided optimization within the GCN-Transformer framework to enhance …
meta-path-guided optimization within the GCN-Transformer framework to enhance …
Enhancing Deep Learning Model Performance for Surface Crack Detection
S Jency, G Ramkumar - 2024 5th International Conference on …, 2024 - ieeexplore.ieee.org
This research investigates the application of deep learning models for early detection of
surface cracks in infrastructure. By automating this process, the study aims to improve …
surface cracks in infrastructure. By automating this process, the study aims to improve …
A Review of Knowledge Graph Recommendation Systems Based on VOSviewer
D Zhang, M Abisado - … Conference on Cloud Computing and Big …, 2024 - ieeexplore.ieee.org
In the era of artificial intelligence, how recommendation algorithms can accurately and
effectively solve the problem of matching individuals' interests and needs in the data ocean …
effectively solve the problem of matching individuals' interests and needs in the data ocean …