# Multimedia Tools and Applications

**Type:** Journals  
**Canonical URL:** https://scholariq.org/journals/multimedia-tools-and-applications/

## Facts

| Field | Value |
| --- | --- |
| Open Access | false |
| ISSN-L | 1380-7501 |
| ISSNs | 1380-7501,1573-7721 |
| OpenAlex ID | https://openalex.org/S110206669 |
| Publisher | Springer Science+Business Media |

## Journal papers

Showing 12 of 62.

- [A review on genetic algorithm: past, present, and future](https://scholariq.org/papers/a-review-on-genetic-algorithm-past-present-and-future/)
- [Human action recognition using fusion of multiview and deep features: an application to video surveillance](https://scholariq.org/papers/human-action-recognition-using-fusion-of-multiview-and-deep-features-an/)
- [A comprehensive survey of image segmentation: clustering methods, performance parameters, and benchmark datasets](https://scholariq.org/papers/a-comprehensive-survey-of-image-segmentation-clustering-methods-performance/)
- [A robust image encryption algorithm resistant to attacks using DNA and chaotic logistic maps](https://scholariq.org/papers/a-robust-image-encryption-algorithm-resistant-to-attacks-using-dna-and-chaotic/)
- [Efficient vehicle detection and tracking strategy in aerial videos by employing morphological operations and feature points motion analysis](https://scholariq.org/papers/efficient-vehicle-detection-and-tracking-strategy-in-aerial-videos-by-employing/)
- [Deep convolutional neural network for enhancing traffic sign recognition developed on Yolo V4](https://scholariq.org/papers/deep-convolutional-neural-network-for-enhancing-traffic-sign-recognition/)
- [Hyperspectral imagery applications for precision agriculture - a systemic survey](https://scholariq.org/papers/hyperspectral-imagery-applications-for-precision-agriculture-a-systemic-survey/)
- [Gravitational search algorithm: a comprehensive analysis of recent variants](https://scholariq.org/papers/gravitational-search-algorithm-a-comprehensive-analysis-of-recent-variants/)
- [Faster CNN-based vehicle detection and counting strategy for fixed camera scenes](https://scholariq.org/papers/faster-cnn-based-vehicle-detection-and-counting-strategy-for-fixed-camera-scenes/)
- [Digital multimedia audio forensics: past, present and future](https://scholariq.org/papers/digital-multimedia-audio-forensics-past-present-and-future/)
- [Intelligent alerting for fruit-melon lesion image based on momentum deep learning](https://scholariq.org/papers/intelligent-alerting-for-fruit-melon-lesion-image-based-on-momentum-deep/)
- [A smart waste classification model using hybrid CNN-LSTM with transfer learning for sustainable environment](https://scholariq.org/papers/a-smart-waste-classification-model-using-hybrid-cnn-lstm-with-transfer-learning/)

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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.