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About the database ScholarIQanswers from OpenAlex & ORCID
How has Hamid Séridi's publication output changed over time?
ScholarIQpublication output · 2017–2024
Output grew100% over the shown period — from 1 works in 2017 to 2 in 2024.
1
3
1
1
2
2
201720182020202220232024
What are the most-cited papers on Hamid Séridi?
ScholarIQmost cited works
At the Confluence of Artificial Intelligence and Edge Computing in IoT-Based Applications: A Review and New Perspectives
Amira Bourechak, Ouarda Zedadra, Mohamed Nadjib Kouahla, Antonio Guerrieri, Hamid Séridi, Giancarlo Fortino
Sensors. 2023231 CitationsOPEN ACCESS
Swarm intelligence-based algorithms within IoT-based systems: A review
Ouarda Zedadra, Antonio Guerrieri, Nicolas Jouandeau, Giandomenico Spezzano, Hamid Séridi, Giancarlo Fortino
S157146593. 2018146 CitationsOPEN ACCESS
Innovative deep learning approach for cross-crop plant disease detection: A generalized method for identifying unhealthy leaves
Imane Bouacida, Brahim Farou, Lynda Djakhdjakha, Hamid Séridi, Muhammet Kurulay
Information Processing in Agriculture. 202494 CitationsOPEN ACCESS
PPSS: A privacy-preserving secure framework using blockchain-enabled federated deep learning for Industrial IoTs
Djallel Hamouda, Mohamed Amine Ferrag, Nadjette Benhamida, Hamid Séridi
S140982614. 202253 Citations
Multi-Agent Foraging: state-of-the-art and research challenges
Ouarda Zedadra, Nicolas Jouandeau, Hamid Séridi, Giancarlo Fortino
S3034459479. 201748 CitationsOPEN ACCESS
Related on ScholarIQ
University of Guelma
Institution
At the Confluence of Artificial Intelligence and Edge Computing in IoT-Based Applications: A Review and New Perspectives
Paper
Swarm intelligence-based algorithms within IoT-based systems: A review
Paper
Innovative deep learning approach for cross-crop plant disease detection: A generalized method for identifying unhealthy leaves
Paper
PPSS: A privacy-preserving secure framework using blockchain-enabled federated deep learning for Industrial IoTs
Paper
Multi-Agent Foraging: state-of-the-art and research challenges
Paper