# Journal of Cloud Computing Advances Systems and Applications

**Type:** Journals  
**Canonical URL:** https://scholariq.org/journals/journal-of-cloud-computing-advances-systems-and-applications/

## Facts

| Field | Value |
| --- | --- |
| Open Access | true |
| ISSN-L | 2192-113X |
| ISSNs | 2192-113X |
| OpenAlex ID | https://openalex.org/S2486819371 |
| Publisher | Springer Nature |

## Journal papers

- [Enhancing intrusion detection: a hybrid machine and deep learning approach](https://scholariq.org/papers/enhancing-intrusion-detection-a-hybrid-machine-and-deep-learning-approach/)
- [Comparative analysis of metaheuristic load balancing algorithms for efficient load balancing in cloud computing](https://scholariq.org/papers/comparative-analysis-of-metaheuristic-load-balancing-algorithms-for-efficient/)
- [Energy-efficient virtual machine placement in distributed cloud using NSGA-III algorithm](https://scholariq.org/papers/energy-efficient-virtual-machine-placement-in-distributed-cloud-using-nsga-iii/)
- [A hybrid machine learning model with self-improved optimization algorithm for trust and privacy preservation in cloud environment](https://scholariq.org/papers/a-hybrid-machine-learning-model-with-self-improved-optimization-algorithm-for/)
- [QHRMOF: A Quantum-Inspired hybrid Multi-Objective framework for Energy-Efficient task scheduling and load balancing in cloud computing](https://scholariq.org/papers/qhrmof-a-quantum-inspired-hybrid-multi-objective-framework-for-energy-efficient/)
- [Optimized hybrid deep learning for cross-linguistic sentiment analysis: a novel approach](https://scholariq.org/papers/optimized-hybrid-deep-learning-for-cross-linguistic-sentiment-analysis-a-novel/)

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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.