# Information Fusion

**Type:** Journals  
**Canonical URL:** https://scholariq.org/journals/information-fusion/

## Facts

| Field | Value |
| --- | --- |
| Open Access | false |
| ISSN-L | 1566-2535 |
| ISSNs | 1566-2535,1872-6305 |
| OpenAlex ID | https://openalex.org/S7560371 |
| Publisher | Elsevier BV |

## Journal papers

Showing 12 of 16.

- [A review of affective computing: From unimodal analysis to multimodal fusion](https://scholariq.org/papers/a-review-of-affective-computing-from-unimodal-analysis-to-multimodal-fusion/)
- [Multimodal sentiment analysis: A systematic review of history, datasets, multimodal fusion methods, applications, challenges and future directions](https://scholariq.org/papers/multimodal-sentiment-analysis-a-systematic-review-of-history-datasets-multimodal/)
- [A survey on machine learning for data fusion](https://scholariq.org/papers/a-survey-on-machine-learning-for-data-fusion/)
- [Human emotion recognition using deep belief network architecture](https://scholariq.org/papers/human-emotion-recognition-using-deep-belief-network-architecture/)
- [GAN review: Models and medical image fusion applications](https://scholariq.org/papers/gan-review-models-and-medical-image-fusion-applications/)
- [Environment-fusion multipath routing protocol for wireless sensor networks](https://scholariq.org/papers/environment-fusion-multipath-routing-protocol-for-wireless-sensor-networks/)
- [Multimodal Co-learning: Challenges, applications with datasets, recent advances and future directions](https://scholariq.org/papers/multimodal-co-learning-challenges-applications-with-datasets-recent-advances-and/)
- [Federated learning for IoT devices: Enhancing TinyML with on-board training](https://scholariq.org/papers/federated-learning-for-iot-devices-enhancing-tinyml-with-on-board-training/)
- [Data fusion for ITS: A systematic literature review](https://scholariq.org/papers/data-fusion-for-its-a-systematic-literature-review/)
- [A centralized immune-Voronoi deployment algorithm for coverage maximization and energy conservation in mobile wireless sensor networks](https://scholariq.org/papers/a-centralized-immune-voronoi-deployment-algorithm-for-coverage-maximization-and/)
- [Ontology Integration: Approaches and Challenging Issues](https://scholariq.org/papers/ontology-integration-approaches-and-challenging-issues/)
- [Hyper-relational interaction modeling in multi-modal trajectory prediction for intelligent connected vehicles in smart cites](https://scholariq.org/papers/hyper-relational-interaction-modeling-in-multi-modal-trajectory-prediction-for/)

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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.