A5048522567- Recommender Systems and Techniques
- Handwritten Text Recognition Techniques
- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
- Advanced Chemical Sensor Technologies
- Robotics and Sensor-Based Localization
- Remote Sensing and LiDAR Applications
- Advanced Graph Neural Networks
- Advanced Bandit Algorithms Research
- Fire Detection and Safety Systems
- Vehicle License Plate Recognition
- Caching and Content Delivery
- Advanced Neural Network Applications
- Smart Agriculture and AI
Zhengzhou University of Light Industry
2023
Henan University
2020
With the rapid development of unmanned aerial vehicles (UAVs), targets detection has attracted extensive attention from researchers. The difficulty image lies in small proportion ground images and wide variety target sizes. After multiple down-sampling, features are almost not available on feature maps. To address these drawbacks, a densely connected Inception ResNet (RIDNet) is proposed. RIDNet lightweight multi-scale fusion network constructed with two residual inception units (RI):...
With the rapid development of online social networks recently, more and users have participated in network activities rich relationships are formed accordingly. These provide a data source research basis for in-depth study on recommender systems (RSs), while also promoting RSs based networks. To solve problems cold start sparsity RSs, many recommendation algorithms constantly being proposed. Motivated by availability connections today’s large number techniques been proposed achieving good...