53 citations · 56 across the 13 of their papers we have counts for
13 papers
Amnesia: A Stealthy Replay Attack on Continual Learning Dreams
Ahmed Sharshar, Naveen Kumar Kummari, Mohsen Guizani
Continual learning (CL) models often use experience replay to reduce catastrophic forgetting, but their robustness to replay sampling interference remains underexplored. Existing C…
Constraint-Driven Warm-Freeze for Efficient Transfer Learning in Photovoltaic Systems
Yasmeen Saeed, Ahmed Sharshar, Mohsen Guizani
Detecting cyberattacks in photovoltaic (PV) monitoring and MPPT control signals requires models that are robust to bias, drift, and transient spikes, yet lightweight enough for res…
Harm or Humor: A Multimodal, Multilingual Benchmark for Overt and Covert Harmful Humor
Ahmed Sharshar, Hosam Elgendy, Saad El Dine Ahmed +2
Dark humor often relies on subtle cultural nuances and implicit cues that require contextual reasoning to interpret, posing safety challenges that current static benchmarks fail to…
Bridging ASR and LLMs for Dysarthric Speech Recognition: Benchmarking Self-Supervised and Generative Approaches
Ahmed Aboeitta, Ahmed Sharshar, Youssef Nafea +1
Speech Recognition (ASR) due to phoneme distortions and high variability. While self-supervised ASR models like Wav2Vec, HuBERT, and Whisper have shown promise, their effectiveness…
ChatENV: An Interactive Vision-Language Model for Sensor-Guided Environmental Monitoring and Scenario Simulation
Hosam Elgendy, Ahmed Sharshar, Ahmed Aboeitta +1
Understanding environmental changes from remote sensing imagery is vital for climate resilience, urban planning, and ecosystem monitoring. Yet, current vision language models (VLMs…
Not Only Grey Matter: OmniBrain for Robust Multimodal Classification of Alzheimer's Disease
Ahmed Sharshar, Yasser Ashraf, Tameem Bakr +4
Alzheimer's disease affects over 55 million people worldwide and is projected to more than double by 2050, necessitating rapid, accurate, and scalable diagnostics. However, existin…
Towards Inclusive NLP: Assessing Compressed Multilingual Transformers across Diverse Language Benchmarks
Maitha Alshehhi, Ahmed Sharshar, Mohsen Guizani
Although LLMs have attained significant success in high-resource languages, their capacity in low-resource linguistic environments like Kannada and Arabic is not yet fully understo…
SPACT18: Spiking Human Action Recognition Benchmark Dataset with Complementary RGB and Thermal Modalities
Yasser Ashraf, Ahmed Sharshar, Velibor Bojkovic +1
Spike cameras, bio-inspired vision sensors, asynchronously fire spikes by accumulating light intensities at each pixel, offering ultra-high energy efficiency and exceptional tempor…
Breaking Down the Hierarchy: A New Approach to Leukemia Classification
Ibraheem Hamdi, Hosam El-Gendy, Ahmed Sharshar +8
The complexities inherent to leukemia, multifaceted cancer affecting white blood cells, pose considerable diagnostic and treatment challenges, primarily due to reliance on laboriou…
Vision-Language Models for Edge Networks: A Comprehensive Survey
Ahmed Sharshar, Latif U. Khan, Waseem Ullah +1
Vision Large Language Models (VLMs) combine visual understanding with natural language processing, enabling tasks like image captioning, visual question answering, and video analys…
PulmoFusion: Advancing Pulmonary Health with Efficient Multi-Modal Fusion
Ahmed Sharshar, Yasser Attia, Mohammad Yaqub +1
Traditional remote spirometry lacks the precision required for effective pulmonary monitoring. We present a novel, non-invasive approach using multimodal predictive models that int…
GeoLLaVA: Efficient Fine-Tuned Vision-Language Models for Temporal Change Detection in Remote Sensing
Hosam Elgendy, Ahmed Sharshar, Ahmed Aboeitta +2
Detecting temporal changes in geographical landscapes is critical for applications like environmental monitoring and urban planning. While remote sensing data is abundant, existing…
Innovative Horizons in Aerial Imagery: LSKNet Meets DiffusionDet for Advanced Object Detection
Ahmed Sharshar, Aleksandr Matsun
In the realm of aerial image analysis, object detection plays a pivotal role, with significant implications for areas such as remote sensing, urban planning, and disaster managemen…