Accueil › Annuaire des chercheurs › Ikram Remadna
Ikram Remadna
Affiliation : National School of Artificial Intelligence
- 20Publications (affiliation algérienne)
- 21Publications au total
- 206Citations
- 8Indice h
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Créer mon profil gratuit Ajouter mes publicationsDomaines de recherche
- Machine Fault Diagnosis Techniques
- Reliability and Maintenance Optimization
- Fault Detection and Control Systems
- Energy Efficient Wireless Sensor Networks
- AI in cancer detection
Publications (20)
- GraphDARTS: Contrastive graph metric learning for unsupervised differentiable architecture search in Structural Health Monitoring
- Edge AI for Embedded Acoustic Emission Clustering: A Globally Optimal Sequential Mixture Model for Non-Destructive Structural Health Monitoring
- Contrastive Metric Learning Loss-Enhanced Multi-Layer Perceptron for Sequentially Appearing Clusters in Acoustic Emission Data Streams
- An Improved Model for Breast Cancer Diagnosis by Combining PCA and Logistic Regression Techniques
- Enhancing Dermoscopy-Based Skin Lesions Diagnosis: A Fusion of Convolutional Neural Networks and Self-Training
- RUL Prediction Using a Fusion of Attention-Based Convolutional Variational AutoEncoder and Ensemble Learning Classifier
- Boosting RUL Prediction Using a Hybrid Deep CNN-BLSTM Architecture
- Paediatric Bone Age Assessment from Hand X-ray Using Deep Learning Approach
- Towards performance evaluation prediction in WSNs using artificial neural network multi-perceptron
- IoT Based Prediction of Active and Passive Earth Pressure Coefficients Using Artificial Neural Networks
- TabNet Based Prediction Model for ICU admission in Covid-19 patients
- Simulation and Formal Verification in WSNs Empowered by Machine Learning: A Review
- Predicting COVID-19 Outbreak in Algeria Using Long Short-Term Memory Networks
- RUL Estimation Enhancement using Hybrid Deep Learning Methods
- Leveraging the Power of Machine Learning for Performance Evaluation Prediction in Wireless Sensor Networks
- Leveraging the Power of the Combination of CNN and Bi-Directional LSTM Networks for Aircraft Engine RUL Estimation
- Breast cancer classification using machine learning techniques: a comparative study
- Unsupervised Feature Reduction Techniques with Bidirectional GRU Neural Network for Aircraft Engine RUL Estimation
- Hybrid Architecture of Deep Convolutional Variational Auto-encoder for Remaining useful Life Prediction
- An overview on the deep learning based prognostic
Co-auteurs
- Labib Sadek Terrissa
- Soheyb Ayad
- Siham Zroug
- Laïd Kahloul
- Djihane Houfani
- Oualid Laiadi
- Sihem Slatnia
- Okba Kazar
- Ikram Maouche
- Redouane Drai
- Salima Attache
- Saber Benharzallah
Données bibliographiques issues d’OpenAlex (base ouverte).
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