S. Padmavathi
Computer Vision and Pattern Recognition · 2021
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 20 citations into it
- Biomedical Engineering — 9 citations into it
- Computer Networks and Communications — 7 citations into it
Whom S. Padmavathi trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Hanyu Wang (in Computer Vision and Pattern Recognition)
- Kun Xia (in Computer Vision and Pattern Recognition)
- Jianguang Huang (in Computer Vision and Pattern Recognition)
Papers from S. Padmavathi's perspective
Ordered by how strongly the researchers S. Padmavathi trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition
- A Deep Learning Approach to Human Activity Recognition Based on Single Accelerometer (IEEE International Conference on Systems, Man and Cybernetics)
- Deep Learning for Sensor-based Activity Recognition: A Survey
- Data fusion and multiple classifier systems for human activity detection and health monitoring: Review and open research directions (Information Fusion)
- LSTM-CNN Architecture for Human Activity Recognition (IEEE Access)
- Physical Human Activity Recognition Using Wearable Sensors (Italian National Conference on Sensors)
- Scaling Human Activity Recognition via Deep Learning-based Domain Adaptation
- Real-time human activity recognition from accelerometer data using Convolutional Neural Networks (Applied Soft Computing)
- Deep learning algorithms for human activity recognition using mobile and wearable sensor networks: State of the art and research challenges (Expert systems with applications)
- Deep Learning Models for Real-time Human Activity Recognition with Smartphones (Journal on spesial topics in mobile networks and applications)