Zobrazeno 1 - 10
of 1 258 934
pro vyhledávání: '"Mohamed WAS"'
Autor:
Abdelhakim Amazirh, Youness Ouassanouan, Houssne Bouimouass, Mohamed Wassim Baba, El Houssaine Bouras, Abdellatif Rafik, Myriam Benkirane, Youssef Hajhouji, Youness Ablila, Abdelghani Chehbouni
Publikováno v:
Remote Sensing, Vol 16, Iss 19, p 3698 (2024)
This study evaluates the use of remote sensing data to improve the understanding of groundwater resources in climate-sensitive regions with limited data availability and increasing agricultural water demands. The research focuses on estimating ground
Externí odkaz:
https://doaj.org/article/f4ae9bbf145a45b59d5907dbb8b7d210
Autor:
Rafael Almar, Julien Boucharel, Marcan Graffin, Gregoire Ondoa Abessolo, Gregoire Thoumyre, Fabrice Papa, Roshanka Ranasinghe, Jennifer Montano, Erwin W. J. Bergsma, Mohamed Wassim Baba, Fei-Fei Jin
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-13 (2023)
Abstract Coastal zones are fragile and complex dynamical systems that are increasingly under threat from the combined effects of anthropogenic pressure and climate change. Using global satellite derived shoreline positions from 1993 to 2019 and a var
Externí odkaz:
https://doaj.org/article/ae2f2e11ee67475db7233b32507f66b4
Understanding the deep meanings of the Qur'an and bridging the language gap between modern standard Arabic and classical Arabic is essential to improve the question-and-answer system for the Holy Qur'an. The Qur'an QA 2023 shared task dataset had a l
Externí odkaz:
http://arxiv.org/abs/2412.11431
Large language models (LLMs) have significantly advanced natural language processing, excelling in areas like text generation, summarization, and question-answering. Despite their capabilities, these models face challenges when fine-tuned on small, d
Externí odkaz:
http://arxiv.org/abs/2412.15254
Autor:
Sennary, Mohamed, Rivera-Dean, Javier, ElKabbash, Mohamed, Pervak, Vladimir, Lewenstein, Maciej, Hassan, Mohammed Th.
Advancements in quantum optics and squeezed light generation have revolutionized various fields of quantum science over the past three decades, with notable applications such as gravitational wave detection. Here, we extend the use of squeezed light
Externí odkaz:
http://arxiv.org/abs/2412.08881
Autor:
Belaloui, Nacer Eddine, Tounsi, Abdellah, Khamadja, Rabah Abdelmouheymen, Louamri, Mohamed Messaoud, Benslama, Achour, Neira, David E. Bernal, Rouabah, Mohamed Taha
While numerical simulations are presented in most papers introducing new methods to enhance the VQE performance, comprehensive, comparative, and applied studies remain relatively rare. We present a comprehensive, yet concise guide for the implementat
Externí odkaz:
http://arxiv.org/abs/2412.02606
Autor:
Wahid, Kareem A., Dede, Cem, El-Habashy, Dina M., Kamel, Serageldin, Rooney, Michael K., Khamis, Yomna, Abdelaal, Moamen R. A., Ahmed, Sara, Corrigan, Kelsey L., Chang, Enoch, Dudzinski, Stephanie O., Salzillo, Travis C., McDonald, Brigid A., Mulder, Samuel L., McCullum, Lucas, Alakayleh, Qusai, Sjogreen, Carlos, He, Renjie, Mohamed, Abdallah S. R., Lai, Stephen Y., Christodouleas, John P., Schaefer, Andrew J., Naser, Mohamed A., Fuller, Clifton D.
Magnetic resonance (MR)-guided radiation therapy (RT) is enhancing head and neck cancer (HNC) treatment through superior soft tissue contrast and longitudinal imaging capabilities. However, manual tumor segmentation remains a significant challenge, s
Externí odkaz:
http://arxiv.org/abs/2411.18585
Variational autoencoder (VAE) is one of the most common techniques in the field of medical image generation, where this architecture has shown advanced researchers in recent years and has developed into various architectures. VAE has advantages inclu
Externí odkaz:
http://arxiv.org/abs/2411.07348
Autor:
Mohamed, Youssef, Li, Runjia, Ahmad, Ibrahim Said, Haydarov, Kilichbek, Torr, Philip, Church, Kenneth Ward, Elhoseiny, Mohamed
Research in vision and language has made considerable progress thanks to benchmarks such as COCO. COCO captions focused on unambiguous facts in English; ArtEmis introduced subjective emotions and ArtELingo introduced some multilinguality (Chinese and
Externí odkaz:
http://arxiv.org/abs/2411.03769
Autor:
Abo-eleneen, Amr, Helmy, Menna, Abdellatif, Alaa Awad, Erbad, Aiman, Mohamed, Amr, Abdallah, Mohamed
In the face of increasing demand for zero-touch networks to automate network management and operations, two pivotal concepts have emerged: "Learn to Slice" (L2S) and "Slice to Learn" (S2L). L2S involves leveraging Artificial intelligence (AI) techniq
Externí odkaz:
http://arxiv.org/abs/2411.03686