# An Attention-Driven Hybrid CNN-LSTM Model for Accurate Prediction in Sustainable Supply Chain Management

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/an-attention-driven-hybrid-cnn-lstm-model-for-accurate-prediction-in-sustainable/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Srigouri Kosuri,N. B. Prakash,Muhammad Ali,Al-Hussein Maysir Majid,S.Suma Christal Mary,R Dhaaraani |
| Citations | 0 |
| DOI | 10.1109/icsit65336.2025.11294902 |
| Fields | Business, Management and Accounting,Decision Sciences,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4417509102 |
| Type | conference-paper |
| Year | 2025 |

## Paper authors

- [Al-Hussein Maysir Majid](https://scholariq.org/researchers/al-hussein-maysir-majid/)

## Paper primary topic

- [Forecasting Techniques and Applications](https://scholariq.org/topics/forecasting-techniques-and-applications/)

## Paper topics

- [Forecasting Techniques and Applications](https://scholariq.org/topics/forecasting-techniques-and-applications/)
- [Sustainable Supply Chain Management](https://scholariq.org/topics/sustainable-supply-chain-management/)
- [Energy Load and Power Forecasting](https://scholariq.org/topics/energy-load-and-power-forecasting/)

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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.