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20212026
most citedCNN aided Weighted Interpolation for Channel Estimation in Vehicular Communications

4 citations · 13 across the 15 of their papers we have counts for

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5 papers · 1 filter

eess.SP2026

Impact of PA Nonlinearities on AFDM Sensing: A Matched Filtering Perspective

Eya Gourar, Yahia Medjahdi, Laurent Clavier +2

Affine Frequency Division Multiplexing (AFDM) is a promising waveform for integrated sensing and communications (ISAC) due to its Doppler resilience. However, such waveforms exhibi…

eess.SP2026

X-RACE: XAI-assisted Recurrent neural network Attribution for Channel Estimation

Abdul Karim Gizzini, Yahia Medjahdi

Deep learning models, notably Long Short-Term Memory (LSTM), have demonstrated promising performance in channel estimation for high-mobility vehicular environments. However, their…

cs.CV2026

Entropy-Centric Explainable AI for Remote Sensing Image Segmentation

Ali Saleh, Abdul Karim Gizzini, Mohamad Ghassany +1

Artificial intelligence (AI) has become a powerful approach to solving complex problems in critical domains. Many concerns arise regarding the decision-making process of its models…

eess.SP2026

Low-Complexity Sensing-Aware PAPR Reduction for AFDM-based ISAC Systems

Eya Gourar, Abdul Karim Gizzini, Yahia Medjahdi +2

Integrated sensing and communication (ISAC) has emerged as a key technology for future wireless networks by enabling communication and environmental sensing through a common wavefo…

cs.LG2026

X-REFINE: XAI-based RElevance input-Filtering and archItecture fiNe-tuning for channel Estimation

Abdul Karim Gizzini, Yahia Medjahdi

AI-native architectures are vital for 6G wireless communications. The black-box nature and high complexity of deep learning models employed in critical applications, such as channe…