10 Apr 2026
Cross-domain application: supervised multivariate time series noise filtering by pretrained image denoisersPublisher siteData Technologies and Applications, Energy Load and Power Forecasting
UniversitiesNaoual Mouhni
Active, last published 2026
In ai in cancer detection
Naoual
Mouhni
Scholar“Research focused on AI in cancer detection and adjacent fields.”
Université Moulay Ismail de Meknes
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01 · About the work
What I study
aoual Mouhni is a researcher working on AI in cancer detection. A fuller summary will appear once they update their profile.
02 · Reach
Publication output and reach
Naoual's work has been cited 210 times across 3 active years. Bars show publications per year; the line shows cumulative citation totals across publications first appearing in each year.
03 · Research focus
Topics
AI in cancer detection×4Semantic Web and Ontologies×3Advanced Database Systems and Queries×3Data Mining Algorithms and Applications×3Energy Load and Power Forecasting×3
04 · Where I am
Affiliations
Affiliation on published researchUniversité Moulay Ismail de MeknesDrawn from the institution listed on this researcher’s published work.
Research themes (UN SDGs)
05 · Selected work
Recent publications
12 works1 Jan 2025
A Comparative Study of HBOS and Isolation Forest Anomaly Detection Models: An Experimental AnalysisPublisher site6 Nov 20243cites
AI-powered precision: breast carcinoma diagnosis through digital proliferation index (Ki-67) assessment in pathological anatomyPublisher siteData Technologies and Applications, AI in cancer detection
30 Aug 2024Open access
Enhancing stress detection in wearable IoT devices using federated learning and LSTM based hybrid modelPublisher siteIndonesian Journal of Electrical Engineering and Computer Science, Advanced Technologies and Applied Computing
21 Aug 2024Open access1cites
Innovative: A Novel Deep Learning-Based Semantic Segmentation Architecture for Medical ApplicationsPublisher siteIngénierie des systèmes d information, Artificial Intelligence in Healthcare
16 May 2024
Kernel Function Selection for FISVDD Applied to Outliers Detection Application for Energy Time Series DatasetsPublisher siteElectric Power Components and Systems, Anomaly Detection Techniques and Applications
24 Apr 20248cites
CNN-LSTM architectures for non-stationary time series: decomposition approachPublisher site24 Apr 2024
Time-Series Neural Network Predictions Using LSTM for Clustering and Forecasting GPS Data of Bird ImmigrationPublisher siteExpert Academic Profiles go further
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