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OpenDosimeter: Open Hardware Personal X-ray Dosimeter

Autor: Ger, Norah, Ku, Alice, Lopez, Jasmyn, Bennett, N. Robert, Wang, Jia, Ateka, Grace, Anyenda, Enoch, Rosezky, Matthias, Wang, Adam S., Shaker, Kian

We present OpenDosimeter (https://opendosimeter.org/), an open hardware solution for real-time personal X-ray dose monitoring based on a scintillation counter. Using an X-ray sensor assembly (LYSO + SiPM) on a custom board powered by a Raspberry Pi P

Externí odkaz: http://arxiv.org/abs/2409.09993

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Creating Publishing Accounts for University Professors on Global Scientific Websites (ORCID, Research Gate, Google Scholar)

Autor: Alalaq, Ahmed Shaker

Perhaps among the most prominent sites on which we always encourage professors to create accounts are (ORCID), (Reserach Gate), and (Google Scholar), and how to publish and promote their research through social media or through educational platforms,

Externí odkaz: http://arxiv.org/abs/2408.08936

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GroupMamba: Parameter-Efficient and Accurate Group Visual State Space Model

Autor: Shaker, Abdelrahman, Wasim, Syed Talal, Khan, Salman, Gall, Juergen, Khan, Fahad Shahbaz

Recent advancements in state-space models (SSMs) have showcased effective performance in modeling long-range dependencies with subquadratic complexity. However, pure SSM-based models still face challenges related to stability and achieving optimal pe

Externí odkaz: http://arxiv.org/abs/2407.13772

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Efficient Video Object Segmentation via Modulated Cross-Attention Memory

Autor: Shaker, Abdelrahman, Wasim, Syed Talal, Danelljan, Martin, Khan, Salman, Yang, Ming-Hsuan, Khan, Fahad Shahbaz

Recently, transformer-based approaches have shown promising results for semi-supervised video object segmentation. However, these approaches typically struggle on long videos due to increased GPU memory demands, as they frequently expand the memory b

Externí odkaz: http://arxiv.org/abs/2403.17937

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PALO: A Polyglot Large Multimodal Model for 5B People

Autor: Maaz, Muhammad, Rasheed, Hanoona, Shaker, Abdelrahman, Khan, Salman, Cholakal, Hisham, Anwer, Rao M., Baldwin, Tim, Felsberg, Michael, Khan, Fahad S.

In pursuit of more inclusive Vision-Language Models (VLMs), this study introduces a Large Multilingual Multimodal Model called PALO. PALO offers visual reasoning capabilities in 10 major languages, including English, Chinese, Hindi, Spanish, French,

Externí odkaz: http://arxiv.org/abs/2402.14818

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Voice-Driven Mortality Prediction in Hospitalized Heart Failure Patients: A Machine Learning Approach Enhanced with Diagnostic Biomarkers

Autor: Ahmadli, Nihat, Sarsil, Mehmet Ali, Mizrak, Berk, Karauzum, Kurtulus, Shaker, Ata, Tulumen, Erol, Mirzamidinov, Didar, Ural, Dilek, Ergen, Onur

Addressing heart failure (HF) as a prevalent global health concern poses difficulties in implementing innovative approaches for enhanced patient care. Predicting mortality rates in HF patients, in particular, is difficult yet critical, necessitating

Externí odkaz: http://arxiv.org/abs/2402.13812

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Arabic Mini-ClimateGPT : A Climate Change and Sustainability Tailored Arabic LLM

Autor: Mullappilly, Sahal Shaji, Shaker, Abdelrahman, Thawakar, Omkar, Cholakkal, Hisham, Anwer, Rao Muhammad, Khan, Salman, Khan, Fahad Shahbaz

Publikováno v: Findings of the Association for Computational Linguistics: EMNLP 2023, pages 14126-14136

Climate change is one of the most significant challenges we face together as a society. Creating awareness and educating policy makers the wide-ranging impact of climate change is an essential step towards a sustainable future. Recently, Large Langua

Externí odkaz: http://arxiv.org/abs/2312.09366

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