# Lynda Djakhdjakha

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/lynda-djakhdjakha/

## Facts

| Field | Value |
| --- | --- |
| Citations | 130 |
| Field | Semantic Web and Ontologies |
| h-index | 4 |
| i10-index | 2 |
| Last Known Institution | University of Guelma |
| OpenAlex ID | https://openalex.org/A5024836114 |
| ORCID iD | 0000-0001-9596-3077 |
| Works | 13 |

## Researcher papers

- [Innovative deep learning approach for cross-crop plant disease detection: A generalized method for identifying unhealthy leaves](https://scholariq.org/papers/innovative-deep-learning-approach-for-cross-crop-plant-disease-detection-a/)
- [Towards a semantic structure for classifying IoT agriculture sensor datasets : An approach based on machine learning and web semantic technologies](https://scholariq.org/papers/towards-a-semantic-structure-for-classifying-iot-agriculture-sensor-datasets-an/)
- [Towards a representation for multi-viewpoints ontology alignments](https://scholariq.org/papers/towards-a-representation-for-multi-viewpoints-ontology-alignments/)
- [Multi-Viewpoints Ontology Alignment Based on Description Logics](https://scholariq.org/papers/multi-viewpoints-ontology-alignment-based-on-description-logics/)
- [Foundations on Multi-Viewpoints Ontology Alignment](https://scholariq.org/papers/foundations-on-multi-viewpoints-ontology-alignment/)
- [Semantics of multi-viewpoints ontology alignments](https://scholariq.org/papers/semantics-of-multi-viewpoints-ontology-alignments/)
- [An Extended Business Process Representation for Integrating IoT Based on SWRL/OWL](https://scholariq.org/papers/an-extended-business-process-representation-for-integrating-iot-based-on-swrl/)
- [Simultaneous multi-disease detection from the same leaf: a generalized approach using deep learning and image splitting](https://scholariq.org/papers/simultaneous-multi-disease-detection-from-the-same-leaf-a-generalized-approach/)
- [An IoT Management Information System](https://scholariq.org/papers/an-iot-management-information-system/)
- [Comprehensive Analysis of FUTCOM and NASDAQ Commodities for Gold using Machine Learning and Technical Analysis](https://scholariq.org/papers/comprehensive-analysis-of-futcom-and-nasdaq-commodities-for-gold-using-machine/)

## Researcher topics

- [Semantic Web and Ontologies](https://scholariq.org/topics/semantic-web-and-ontologies/)
- [Service-Oriented Architecture and Web Services](https://scholariq.org/topics/service-oriented-architecture-and-web-services/)
- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)
- [Business Process Modeling and Analysis](https://scholariq.org/topics/business-process-modeling-and-analysis/)
- [Advanced Database Systems and Queries](https://scholariq.org/topics/advanced-database-systems-and-queries/)

## Researcher university

- [University of Guelma](https://scholariq.org/institutions/university-of-guelma/)

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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.