Sadaf Moaveninejad

18 papers Journal 8Unranked 9
YearRankTypeTitle / Venue / Authors
2025 — conf
A Machine Learning Pipeline for Evaluating Pre-Stimulus EEG Features and Their Impact on Post-Stimulus TMS-EEG Responses.
MetroXRAINE
Sadaf Moaveninejad, Antonio Luigi Bisogno, Simone Cauzzo, Maurizio Corbetta, Camillo Porcaro
2025 — conf
Enhanced EEG Complexity and Spectral Alterations in Migraine: A PSD and Higuchi's Fractal Dimension Analysis by ICA and PCA Spatial Filters.
MetroXRAINE
Camillo Porcaro, Sadaf Moaveninejad, Romain Aubonnet, Sara Gilli, Gianluca Coppola, Giorgio Di Lorenzo
2025 — conf
Enhancing Brain-Computer Interfaces: Machine Learning Analysis of Alpha-Beta ERD and Fractal Dimension in Motor Imagery EEG.
MetroXRAINE
Sadaf Moaveninejad, Franca Tecchio, Francesco Ferracuti, Sabrina Iarlori, Andrea Monteriù, Camillo Porcaro
2025 — conf
Exploring Subcortical and Cortical Neural Complexity in Migraine: A Fractal and Spectral Analysis Approach.
MetroXRAINE
Camillo Porcaro, Sadaf Moaveninejad, Romain Aubonnet, Simone Cauzzo, Karolina Armonaite, Sara Gilli, Giorgio Di Lorenzo, Gianluca Coppola
2025 — conf
Fractal Complexity of Brain Networks: Mapping Criticality by Detrended Fluctuation Analysis.
MetroXRAINE
Lorenzo Pini, Sadaf Moaveninejad, Simone Cauzzo, Maurizio Corbetta, Camillo Porcaro
2025 J jnl
Fractal dimension and clinical neurophysiology fusion to gain a deeper brain signal understanding: A systematic review.
Inf. Fusion
Sadaf Moaveninejad, Simone Cauzzo, Camillo Porcaro
2025 J jnl
Pre-stimulus neural dynamics predict TMS responses: The role of fractal dimension and oscillatory activity.
Comput. Biol. Medicine
Antonio Luigi Bisogno, Sadaf Moaveninejad, Maurizio Corbetta, Camillo Porcaro
2024 — conf
Climbing Routes Clustering Using Energy-Efficient Accelerometers Attached to the Quickdraws.
BODYNETS (A)
Sadaf Moaveninejad, Andrea Janes, Camillo Porcaro, Luca Barletta, Lorenzo Mucchi, Massimiliano Pierobon
2024 J jnl
Detection of Lowering in Sport Climbing Using Orientation-Based Sensor-Enhanced Quickdraws: A Preliminary Investigation.
Sensors
Sadaf Moaveninejad, Andrea Janes, Camillo Porcaro
2024 J jnl
Fractal Dimension as a discriminative feature for high accuracy classification in motor imagery EEG-based brain-computer interface.
Comput. Methods Programs Biomed.
Sadaf Moaveninejad, Valentina D'Onofrio, Franca Tecchio, Francesco Ferracuti, Sabrina Iarlori, Andrea Monteriù, Camillo Porcaro
2023 J jnl
Lowering Detection in Sport Climbing Based on Orientation of the Sensor Enhanced Quickdraw.
CoRR
Sadaf Moaveninejad, Andrea Janes
2023 J jnl
On the Achievable Rate of MIMO Narrowband PLC with Spatio-Temporal Correlated Noise.
CoRR
Mohammadreza Bakhshizadeh Mohajer, Sadaf Moaveninejad, Atul Kumar, Mahmoud Elgenedy, Naofal Al-Dhahir, Luca Barletta, Maurizio Magarini
2022 J jnl
Climbing Routes Clustering Using Energy-Efficient Accelerometers Attached to the Quickdraws.
CoRR
Sadaf Moaveninejad, Andrea Janes
2020 — —
Data transmission and analysis over Hybrid Wireless/Narrowband-Powerline Communication (WiNPLC).
Sadaf Moaveninejad
2020 J jnl
Simpler Than FRESH Filter: A Parametric Approach for Cyclostationary Noise Generation in NB-PLC.
IEEE Commun. Lett.
Sadaf Moaveninejad, Atul Kumar, Mahmoud Elgenedy, Naofal Al-Dhahir, Andrea M. Tonello, Maurizio Magarini
2020 — conf
Video and Sensor-Based Rope Pulling Detection in Sport Climbing.
MMSports@MM
Iustina Ivanova, Marina Andric, Sadaf Moaveninejad, Andrea Janes, Francesco Ricci
2019 — conf
Gaussian-Middleton Classification of Cyclostationary Correlated Noise in Hybrid MIMO-OFDM WiNPLC.
ICC
Sadaf Moaveninejad, Atul Kumar, Mahmoud Elgenedy, Maurizio Magarini, Naofal Al-Dhahir, Andrea M. Tonello
2017 — conf
BER evaluation of post-meter PLC services in CENELEC-C band.
LATINCOM
Sadaf Moaveninejad, Atul Kumar, Davide Scazzoli, Alessandro Piti, Maurizio Magarini, Stefano Bregni, Giacomo Verticale