A5114290756- Face recognition and analysis
- AI-based Problem Solving and Planning
- Customer Service Quality and Loyalty
- Animal Behavior and Welfare Studies
- Fuzzy Logic and Control Systems
- Machine Learning and Data Classification
- Cloud Data Security Solutions
- Advanced Graph Neural Networks
- Neural Networks and Applications
- Meat and Animal Product Quality
- Imbalanced Data Classification Techniques
- Conservation Techniques and Studies
- Consumer Behavior in Brand Consumption and Identification
- Traffic Prediction and Management Techniques
- Evolutionary Algorithms and Applications
- Experience-Based Knowledge Management
- Recommender Systems and Techniques
- Cryptography and Data Security
- Topic Modeling
- Face and Expression Recognition
- Video Surveillance and Tracking Methods
- Marketing and Advertising Strategies
- Blockchain Technology Applications and Security
- Food Supply Chain Traceability
- Identification and Quantification in Food
Pennsylvania State University
2023-2025
Hunan First Normal University
2024
Beijing University of Technology
2021
Simon Fraser University
2016
University of Nottingham
2011
Recommendation systems are of crucial importance due to their wide applications. Knowledge graph (KG) enabled recommendation schemes have attracted great attention superior performance and interpretability. However, the rich social information is not exploited for those systems, which limits . In this paper, a novel explainable scheme proposed by exploiting our designed enhanced knowledge network (SKGAN). The hidden relations among users items learned used with collaborative KG (CKG) user...
With the rising popularity of Internet and development big data technology, an increasing number organizations are opting to cooperate across domains maximize their benefits. Most use public key infrastructure ensure security in accessing applications. However, with continuous identity-based encryption (IBE) small- medium-sized enterprises increasingly using IBE deploy internal authentication systems. To solve problems that arise when crossing heterogeneous guarantee certification process,...
Head pose implies a person's visual attention and interest. It plays an important role in many applications. Existing head estimation methods work the original space. However, large number of candidates space makes task quite challenging. In this paper, we propose coarse-to-fine method by decomposing into hierarchical structure. The begins detecting region interest (ROI) within face image via measuring importance scores key points. After that, coarse step is applied to identify subset...
Using the Titanic guest data offered by Kaggle, we executed cleansing, feature engineering, and training of various designs, including logistic regression, Random Woodland, XGBoost, LightGBM versions. We likewise brought out hyperparameter tuning version combination, ultimately enhanced forecast efficiency heavy average approach. The evaluation results model showed that integrated design surpassed single on test collection, with greater accuracy ROC AUC ratings.
This study focuses on the influence of tea brand image building marketing, and deeply discusses importance in market through case literature analysis. It is found that key factor for success brand, which not only enhances product recognition, but also competitiveness brand. The uses Yan Yue as examples to analyze how they stand out fierce competition their unique design marketing strategies. results show shaping very important enhance market. Although has limited sample size insufficient...