# Complexity

**Type:** Journals  
**Canonical URL:** https://scholariq.org/journals/complexity/

## Facts

| Field | Value |
| --- | --- |
| Open Access | false |
| ISSN-L | 1076-2787 |
| ISSNs | 1076-2787,1099-0526 |
| OpenAlex ID | https://openalex.org/S207319443 |
| Publisher | Hindawi Publishing Corporation |

## Journal papers

- [Convolutional Neural Network Based Vehicle Classification in Adverse Illuminous Conditions for Intelligent Transportation Systems](https://scholariq.org/papers/convolutional-neural-network-based-vehicle-classification-in-adverse-illuminous/)
- [A Combined Deep CNN: LSTM with a Random Forest Approach for Breast Cancer Diagnosis](https://scholariq.org/papers/a-combined-deep-cnn-lstm-with-a-random-forest-approach-for-breast-cancer/)
- [Exploring the Application of Artificial Intelligence in Sports Training: A Case Study Approach](https://scholariq.org/papers/exploring-the-application-of-artificial-intelligence-in-sports-training-a-case/)
- [Impulsive Switching Epidemic Model with Benign Worm Defense and Quarantine Strategy](https://scholariq.org/papers/impulsive-switching-epidemic-model-with-benign-worm-defense-and-quarantine/)
- [An Extended FMEA Model for Exploring the Potential Failure Modes: A Case Study of a Steam Turbine for a Nuclear Power Plant](https://scholariq.org/papers/an-extended-fmea-model-for-exploring-the-potential-failure-modes-a-case-study-of/)

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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.