Search

Your search keyword '"Ahmed, K."' showing total 16,674 results
Start Over Author "Ahmed, K."

Refine your results

more »

more »

more »

more »

more »

more »

more »

more »
16,674 results on '"Ahmed, K."'

8. Exploring State Space and Reasoning by Elimination in Tsetlin Machines

Author

Kadhim, Ahmed K., Granmo, Ole-Christoffer, Jiao, Lei, and Shafik, Rishad

Subjects
Computer Science - Machine Learning, Computer Science - Artificial Intelligence
Abstract

The Tsetlin Machine (TM) has gained significant attention in Machine Learning (ML). By employing logical fundamentals, it facilitates pattern learning and representation, offering an alternative approach for developing comprehensible Artificial Intelligence (AI) with a specific focus on pattern classification in the form of conjunctive clauses. In the domain of Natural Language Processing (NLP), TM is utilised to construct word embedding and describe target words using clauses. To enhance the descriptive capacity of these clauses, we study the concept of Reasoning by Elimination (RbE) in clauses' formulation, which involves incorporating feature negations to provide a more comprehensive representation. In more detail, this paper employs the Tsetlin Machine Auto-Encoder (TM-AE) architecture to generate dense word vectors, aiming at capturing contextual information by extracting feature-dense vectors for a given vocabulary. Thereafter, the principle of RbE is explored to improve descriptivity and optimise the performance of the TM. Specifically, the specificity parameter s and the voting margin parameter T are leveraged to regulate feature distribution in the state space, resulting in a dense representation of information for each clause. In addition, we investigate the state spaces of TM-AE, especially for the forgotten/excluded features. Empirical investigations on artificially generated data, the IMDB dataset, and the 20 Newsgroups dataset showcase the robustness of the TM, with accuracy reaching 90.62\% for the IMDB., Comment: 8 pages, 8 figures

Published
2024

9. Exploring Effects of Hyperdimensional Vectors for Tsetlin Machines

Author

Halenka, Vojtech, Kadhim, Ahmed K., Clarke, Paul F. A., Bhattarai, Bimal, Saha, Rupsa, Granmo, Ole-Christoffer, Jiao, Lei, and Andersen, Per-Arne

Subjects
Computer Science - Machine Learning, Computer Science - Artificial Intelligence
Abstract

Tsetlin machines (TMs) have been successful in several application domains, operating with high efficiency on Boolean representations of the input data. However, Booleanizing complex data structures such as sequences, graphs, images, signal spectra, chemical compounds, and natural language is not trivial. In this paper, we propose a hypervector (HV) based method for expressing arbitrarily large sets of concepts associated with any input data. Using a hyperdimensional space to build vectors drastically expands the capacity and flexibility of the TM. We demonstrate how images, chemical compounds, and natural language text are encoded according to the proposed method, and how the resulting HV-powered TM can achieve significantly higher accuracy and faster learning on well-known benchmarks. Our results open up a new research direction for TMs, namely how to expand and exploit the benefits of operating in hyperspace, including new booleanization strategies, optimization of TM inference and learning, as well as new TM applications., Comment: 9 pages, 17 figures

Published
2024

13. Global 30-Day Morbidity and Mortality of Primary Bariatric Surgery Combined with Another Procedure: The BLEND Study

Author

Martinino, Alessandro, Nanayakkara, Kushan D. L., Madhok, Brij, Wong, Geoffrey Yuet Mun, Abouelazayem, Mohamed, Pereira, Juan Pablo Scarano, Wazir, Ishaan, Balasubaramaniam, Vignesh, Said, Amira, Marques, Cláudia, Abdelbaeth, Amr, Al-Shami, Khayry, Albashari, Muna, Alkaseek, Akram, Almayouf, Mohammad Abdullah, Aloulou, Mohammad, Alqahtan, Awadh Robaan, Askari, Alan, Attia, Meena Faiez Assad, Awad, Ahmed K., Aykota, Muhammed Rasid, Bacalbasa, Nicolae, Barrera-Rodriguez, Francisco J., Benavoli, Domenico, Billa, Srikar, Borrelli, Vincenzo, Çalıkoğlu, İsmail, Campanelli, Michela, Carbajo, Miguel A., Chowdhury, Sharfuddin, Cristin, Luca, Dapri, Giovanni, Dong, Zhiyong, Elfawal, Mohamad Hayssam, Elgazar, Amr, Elhadi, Muhammed, Gentileschi, Paolo, Graham, Yitka, Haj, Bassel, Johnson, Joseph Andrew, Kalmoush, Abd-Elfattah Morsi, Kamal, Ayman, Kamocka, Anna, Khamees, Almu’atasim, Lisi, Giorgio, Hernandez, Edgard Efren Lozada, Marinari, Giuseppe M., Martines, Gennaro, Meric, Serhat, Mier, Fernando, Ali, Ahmed Mohamed, Mohammed, Diyaaldeen, Mohamed, Karim Mostafa, Mulita, Francesk, Musella, Mario, O’Malley, William Edward, Olmi, Stefano, Omarov, Taryel, Osama, Omnya, Perera, HMinali R., Piscitelli, Giovanni, Poghosyan, Tigran, Ramírez, David, Rezvani, Masoud, Ribeiro, Rui, Sabbota, Aaron, Sakran, Nasser, Sawaftah, Khaled Ahmad, Schiavone, Kaci, Şen, Ozan, Sotiropoulou, Maria, Tartaglia, Nicola, Tokocin, Merve, Trotta, Manuela, Türkçapar, Ahmet Gökhan, Uccelli, Matteo, Vargas, Cesar, Verras, Georgios -Ioannis, Wang, Cunchuan, Wei, Zhuoqi, Yang, Wah, Zerrweck, Carlos, Owen, Eloise, Gkoutos, Georgios V., Cardoso, Victor Roth, Singhal, Rishi, and Mahawar, Kamal

Published
2024
Full Text
View/download PDF

16. Clinical phenotyping and genetic diagnosis of a large cohort of Sudanese families with hereditary spinocerebellar degenerations

Author

Yahia, Ashraf, Hamed, Ahlam A. A., Mohamed, Inaam N., Elseed, Maha A., Salih, Mustafa A., El-sadig, Sarah M., Siddig, Hassab Elrasoul, Nasreldien, Ali Elsir Musa, Abdullah, Mohamed Ahmed, Elzubair, Maha, Omer, Farouk Yassen, Bakhiet, Aisha Motwakil, Abubaker, Rayan, Abozar, Fatima, Adil, Rawaa, Emad, Sara, Musallam, Mhammed Alhassan, Eltazi, Isra Z. M., Omer, Zulfa, Malik, Hiba, Mohamed, Mayada O. E., Elhassan, Ali A., Mohamed, Eman O. E., Ahmed, Ahmed K. M. A., Ahmed, Elhami A. A., Eltaraifee, Esraa, Hussein, Bidour K., Abd Allah, Amal S. I., Salah, Lina, Nimir, Mohamed, Tag Elseed, Omnia M., Elhassan, Tasneem E. A., Elbashier, Abubakr, Alfadul, Esraa S. A., Fadul, Moneeb, Ali, Khalil F., Taha, Shaimaa Omer M. A., Bushara, Elfatih E., Amin, Mutaz, Koko, Mahmoud, Ibrahim, Muntaser E., Ahmed, Ammar E., Elsayed, Liena E. O., and Stevanin, Giovanni

Published
2024
Full Text
View/download PDF

29. Integrating Cob-Earth material and Sand-Filled Plastic Bottles to Combat Environmental Challenges: A Sustainable Construction Solution

Author

Khairy, Mayar M., Ahmed, Zeinab M., Abodonya, Ahmed K., Kadi, Omar El, Tarabieh, Khaled A., Nassar, Khaled, Yazeed, Ezzeldin, di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Cui, Zhen-Dong, Series Editor, Lu, Xinzheng, Series Editor, Mansour, Yasser, editor, Subramaniam, Umashankar, editor, Mustaffa, Zahiraniza, editor, Abdelhadi, Abdelhakim, editor, Al-Atroush, Mohamed, editor, and Abowardah, Eman, editor

Published
2025
Full Text
View/download PDF

30. Means Oriented or Goals-Oriented Architectural Education

Author

Ali, Ahmed K., Tosi, Francesca, Editor-in-Chief, Germak, Claudio, Series Editor, Zurlo, Francesco, Series Editor, Jinyi, Zhi, Series Editor, Pozzatti Amadori, Marilaine, Series Editor, Caon, Maurizio, Series Editor, Barosio, Michela, editor, Vigliocco, Elena, editor, and Gomes, Santiago, editor

Published
2025
Full Text
View/download PDF

31. Integration of Plastic Bottles with Earth Materials for Insite Construction Modules

Author

Khairy, Mayar M., Ahmed, Zeinab M., Abodonya, Ahmed K., El Kadi, Omar, Tarabieh, Khaled A., Nassar, Khaled, Yazeed, Ezzeldin, di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Cui, Zhen-Dong, Series Editor, Lu, Xinzheng, Series Editor, Desjardins, Serge, editor, Poitras, Gérard J., editor, and Nik-Bakht, Mazdak, editor

Published
2025
Full Text
View/download PDF

46. A 3D Conditional Diffusion Model for Image Quality Transfer -- An Application to Low-Field MRI

Author

Kim, Seunghoi, Tregidgo, Henry F. J., Eldaly, Ahmed K., Figini, Matteo, and Alexander, Daniel C.

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning
Abstract

Low-field (LF) MRI scanners (<1T) are still prevalent in settings with limited resources or unreliable power supply. However, they often yield images with lower spatial resolution and contrast than high-field (HF) scanners. This quality disparity can result in inaccurate clinician interpretations. Image Quality Transfer (IQT) has been developed to enhance the quality of images by learning a mapping function between low and high-quality images. Existing IQT models often fail to restore high-frequency features, leading to blurry output. In this paper, we propose a 3D conditional diffusion model to improve 3D volumetric data, specifically LF MR images. Additionally, we incorporate a cross-batch mechanism into the self-attention and padding of our network, ensuring broader contextual awareness even under small 3D patches. Experiments on the publicly available Human Connectome Project (HCP) dataset for IQT and brain parcellation demonstrate that our model outperforms existing methods both quantitatively and qualitatively. The code is publicly available at \url{https://github.com/edshkim98/DiffusionIQT}.

Published
2023

Catalog

Books, media, physical & digital resources
See catalog results