# Alsalam University College

**Type:** Institutions  
**Canonical URL:** https://scholariq.org/institutions/alsalam-university-college/

## Facts

| Field | Value |
| --- | --- |
| Avg h-index | 10 |
| Citations | 31,648 |
| City | Baghdad |
| Country | IQ |
| Description | Alsalam University College is a research organisation in Baghdad, IQ. OpenAlex records 3,794 works and 31,648 citations for it. 1,731 researchers list it as their most recent affiliation. |
| Homepage | http://alsalamuniversity.com/english_/index_en.html |
| OpenAlex ID | https://openalex.org/I3040621137 |
| Researchers | 1,731 |
| ROR ID | https://ror.org/0047hkh43 |
| Type | education |
| Wikidata ID | https://www.wikidata.org/wiki/Q7492948 |
| Works | 3,794 |

## University papers

- [Review on Deep Learning Approaches for Anomaly Event Detection in Video Surveillance](https://scholariq.org/papers/review-on-deep-learning-approaches-for-anomaly-event-detection-in-video/)
- [Novel Deep Feature Fusion Framework for Multi-Scenario Violence Detection](https://scholariq.org/papers/novel-deep-feature-fusion-framework-for-multi-scenario-violence-detection/)
- [MEFF – A model ensemble feature fusion approach for tackling adversarial attacks in medical imaging](https://scholariq.org/papers/meff-a-model-ensemble-feature-fusion-approach-for-tackling-adversarial-attacks/)
- [A Scalable and Generalised Deep Learning Framework for Anomaly Detection in Surveillance Videos](https://scholariq.org/papers/a-scalable-and-generalised-deep-learning-framework-for-anomaly-detection-in/)
- [Employing Transfer Learning for Diagnosing COVID-19 Disease](https://scholariq.org/papers/employing-transfer-learning-for-diagnosing-covid-19-disease/)
- [Hiding Information in Digital Images Using LSB Steganography Technique](https://scholariq.org/papers/hiding-information-in-digital-images-using-lsb-steganography-technique/)
- [ATD Learning: A secure, smart, and decentralised learning method for big data environments](https://scholariq.org/papers/atd-learning-a-secure-smart-and-decentralised-learning-method-for-big-data/)
- [An extensive study of sentiment analysis techniques: A survey](https://scholariq.org/papers/an-extensive-study-of-sentiment-analysis-techniques-a-survey/)
- [Abnormal Behavior Detection in Video Surveillance Using Inception-v3 Transfer Learning Approaches](https://scholariq.org/papers/abnormal-behavior-detection-in-video-surveillance-using-inception-v3-transfer/)
- [Artificial intelligence based-improving reservoir management: An Attention-Guided Fusion Model for predicting injector–producer connectivity](https://scholariq.org/papers/artificial-intelligence-based-improving-reservoir-management-an-attention-guided/)
- [Integrating Squeeze-and-Excitation Network with Pretrained CNN Models for Accurate Plant Disease Detection](https://scholariq.org/papers/integrating-squeeze-and-excitation-network-with-pretrained-cnn-models-for/)

## University researchers

- [Sabah Abdulazeez Jebur](https://scholariq.org/researchers/sabah-abdulazeez-jebur/)

## University top topics

Showing 8 of 25.

- [Nanofluid Flow and Heat Transfer](https://scholariq.org/topics/nanofluid-flow-and-heat-transfer/)
- [IoT and Edge/Fog Computing](https://scholariq.org/topics/iot-and-edge-fog-computing/)
- [Network Security and Intrusion Detection](https://scholariq.org/topics/network-security-and-intrusion-detection/)
- [Heat Transfer Mechanisms](https://scholariq.org/topics/heat-transfer-mechanisms/)
- [Solar Thermal and Photovoltaic Systems](https://scholariq.org/topics/solar-thermal-and-photovoltaic-systems/)
- [Heat Transfer and Optimization](https://scholariq.org/topics/heat-transfer-and-optimization/)
- [Blockchain Technology Applications and Security](https://scholariq.org/topics/blockchain-technology-applications-and-security/)
- [Vehicular Ad Hoc Networks (VANETs)](https://scholariq.org/topics/vehicular-ad-hoc-networks-vanets/)

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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.