Dr. Fardad Vakilipoor Takaloo

Lehrstuhl für Digitale Übertragung (IDC)

The Chorioallantoic Membrane Model: A 3D in vivo Testbed for Design and Analysis of MC Systems (2024) Schäfer M, Ettner-Sitter A, Brand L, Lotter S, Vakilipoor Takaloo F, Aung T, Härteis S, Schober R Conference contribution Molecular communication data augmentation and deep learning based detection (2024) Scazzoli D, Vakilipoor Takaloo F, Magarini M Journal article Bond graph model of line-start permanent-magnet synchronous motors (2024) Mahmoudi A, Roshandel E, Kahourzade S, Vakilipoor Takaloo F, Drake S Journal article Spectral Features-Based Machine Learning Approach to Detect SARS-COV-2 Infection Using Cough Sound (2024) Azam Siddique S, Kumar S, Kumar Upadhyay P, Vakilipoor Takaloo F, Scazzoli D Conference contribution Correlated Source Achievable Information Rate Analysis in Diffusive Channels with Memory (2024) Vakilipoor Takaloo F, Barletta L, Bregni S, Magarini M Conference contribution The Method of Fictitious Negative Sources to Model Diffusive Channels With Absorbing Boundaries (2024) Vakilipoor Takaloo F, N.M. Ansari A, Barletta L, Gentili GG, Magarini M Journal article Heuristic Barycenter Modeling of Fully Absorbing Receivers in Diffusive Molecular Communication Channels (2024) Vakilipoor Takaloo F, N.M. Ansari A, Magarini M Journal article Achievable Information Rate Analysis in MC Channels with Reset-Counting Fully Absorbing Receivers (2023) Vakilipoor Takaloo F, Barletta L, Bregni S, Magarini M Conference contribution Localizing the Unknown Receiver in a Diffusive SIMO Molecular Communication System (2023) Vakilipoor Takaloo F, N.M. Ansari A, Magarini M Journal article Achievable Rate Analysis in Diffusive Molecular Communication Channels with Memory (2023) Vakilipoor Takaloo F, Barletta L, Bregni S, Magarini M Conference contribution