22 Aug 2026Open access
ATLAS-A: ECG metadata controlsPublisher siteZenodo (CERN European Organization for Nuclear Research)
Active, last published 2026
In smart agriculture and ai
Younes
Ommane
Scholar“Research focused on Smart Agriculture and AI and adjacent fields.”
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01 · About the work
What I study
ounes Ommane is a researcher working on Smart Agriculture and AI. A fuller summary will appear once they update their profile.
02 · Reach
Publication output and reach
Younes's work has been cited 39 times across 4 active years. Bars show publications per year; the line shows cumulative citation totals across publications first appearing in each year.
03 · Research focus
Topics
Smart Agriculture and AI×3Statistical Methods and Inference×2Statistical Methods and Bayesian Inference×2Kidney Stones and Urolithiasis Treatments×2Statistical Distribution Estimation and Applications×2
04 · Where I am
Affiliations
Affiliation on published researchUniversité Mohammed VI Polytechnique, MoroccoDrawn from the institution listed on this researcher’s published work.
Research themes (UN SDGs)
05 · Selected work
Recent publications
8 works22 Aug 2026Open access
ATLAS-A: ECG metadata controlsPublisher siteZenodo (CERN European Organization for Nuclear Research)
9 Oct 2025Open access2cites
Optimizing healthcare supply chain capacity planning during disasters using fuzzy AHP and TOPSIS methodsPublisher siteScientific Reports, Facility Location and Emergency Management
16 Sept 20245cites
Holistic approach for selecting chatbot development tools: combining AHP and TOPSIS methodologiesPublisher siteJournal of Business Analytics, AI in Service Interactions
29 Jul 20243cites
Enhancing Diabetes Detection Through Data Preprocessing: A Comparative Analysis of Machine Learning AlgorithmsPublisher site15 Mar 2024Open access2cites
Flexible Ureteroscopy Lithotripsy Operative Time Prediction Model for the Treatment of Kidney StonesPublisher siteInternational Journal of Online and Biomedical Engineering (iJOE), Kidney Stones and Urolithiasis Treatments
14 Nov 2023Open access1cites
Machine learning for real-time prediction of complications induced by flexible uretero-renoscopy with laser lithotripsyPublisher siteInternational Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering, Kidney Stones and Urolithiasis Treatments
1 Jan 20233cites
Machine Learning Based Recommender Systems for Crop Selection: A Systematic Literature ReviewPublisher siteStudies in computational intelligence, Evolutionary Algorithms and Applications
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