Ahmed Bendaouia

Orcid: 0000-0003-0017-9285

According to our database1, Ahmed Bendaouia authored at least 13 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Enhancing resilience in complex energy systems through real-time anomaly detection: a systematic literature review.
Energy Inform., December, 2024

Advanced Spatio-Temporal Froth Analysis Using Smart Soft Sensors in Mineral Processing.
SN Comput. Sci., April, 2024

Artificial intelligence for enhanced flotation monitoring in the mining industry: A ConvLSTM-based approach.
Comput. Chem. Eng., January, 2024

Hybrid features extraction for the online mineral grades determination in the flotation froth using Deep Learning.
Eng. Appl. Artif. Intell., 2024

2023
Smart Soft Sensor for Froth flotation quality monitoring using pre-trained feature extractor and Vision Transformer ViT.
Proceedings of the 17th International Conference on Signal-Image Technology & Internet-Based Systems, 2023

Digital Twin Technology for Enhanced Health Monitoring, Maintenance, and Energy Efficiency of Electric Vehicles: E-mule Project.
Proceedings of the 6th International Conference on Networking, 2023

Data-Driven and Model-Driven Approaches in Predictive Modelling for Operational Efficiency: Mining Industry Use Case.
Proceedings of the Model and Data Engineering - 12th International Conference, 2023

Generic and scalable multi-layered architecture for Digital Twin implementation in industrial processes: Mineral Processing case study.
Proceedings of the 2023 7th International Conference on Advances in Artificial Intelligence, 2023

Advancing Flotation Process Optimization Through Real-Time Machine Vision Monitoring: A Convolutional Neural Network Approach.
Proceedings of the 15th International Joint Conference on Knowledge Discovery, 2023

Conv-LSTM for Real Time Monitoring of the Mineral Grades in the Flotation Froth.
Proceedings of the 12th International Conference on Data Science, 2023

Fourier Transform and Machine Learning for Real-Time Monitoring of Froth Flotation in Mining Industry.
Proceedings of the 7th IEEE Congress on Information Science and Technology, 2023

2022
Digital Twins-Based Smart Monitoring and Optimisation of Mineral Processing Industry.
Proceedings of the Smart Applications and Data Analysis - 4th International Conference, 2022

Digital Transformation of the Flotation Monitoring Towards an Online Analyzer.
Proceedings of the Smart Applications and Data Analysis - 4th International Conference, 2022


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