2 citations · 4 across the 4 of their papers we have counts for
4 papers
An Agentic AI Pipeline for Appliance-Level Energy Anomaly Detection and LLM-Driven Recommendations
Dihia Falouz, Aida Douaibia, Amine Bechar +3
Appliance-level energy monitoring in office buildings produces noisy alerts that non-expert facility managers struggle to use. This paper proposes an end-to-end agentic pipeline th…
Extracting Actionable Insights from Building Energy Data using Vision LLMs on Wavelet and 3D Recurrence Representations
Amine Bechar, Adel Oulefki, Abbes Amira +2
The analysis of complex building time-series for actionable insights and recommendations remains challenging due to the nonlinear and multi-scale characteristics of energy data. To…
Federated and Transfer Learning for Cancer Detection Based on Image Analysis
Amine Bechar, Youssef Elmir, Yassine Himeur +2
This review article discusses the roles of federated learning (FL) and transfer learning (TL) in cancer detection based on image analysis. These two strategies powered by machine l…
Harnessing Transformers: A Leap Forward in Lung Cancer Image Detection
Amine Bechar, Youssef Elmir, Rafik Medjoudj +2
This paper discusses the role of Transfer Learning (TL) and transformers in cancer detection based on image analysis. With the enormous evolution of cancer patients, the identifica…