# TFF-Net: A hybrid MSC-TCN-Attention network for enhanced long–short term features extraction in gesture classification

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/tff-net-a-hybrid-msc-tcn-attention-network-for-enhanced-long-short-term-features/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Gautam Shah,Abhinav Sharma,Deepak Joshi,Ajit Singh Rathor,Sunil Semwal |
| Citations | 2 |
| DOI | 10.1007/s11760-025-04934-7 |
| Fields | Computer Science,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4416058546 |
| Type | article |
| Year | 2025 |

## Paper authors

- [Gautam Shah](https://scholariq.org/researchers/gautam-shah/)
- [Ajit Singh Rathor](https://scholariq.org/researchers/ajit-singh-rathor/)

## Paper primary topic

- [Muscle activation and electromyography studies](https://scholariq.org/topics/muscle-activation-and-electromyography-studies/)

## Paper topics

- [Muscle activation and electromyography studies](https://scholariq.org/topics/muscle-activation-and-electromyography-studies/)
- [Hand Gesture Recognition Systems](https://scholariq.org/topics/hand-gesture-recognition-systems/)
- [Advanced Sensor and Energy Harvesting Materials](https://scholariq.org/topics/advanced-sensor-and-energy-harvesting-materials/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.