Zobrazeno 1 - 10
of 3 043
pro vyhledávání: '"P, Sarraf"'
Autor:
Sarraf, Saman
Generative AI (GenAI) has revolutionized content generation, offering transformative capabilities for improving language coherence, readability, and overall quality. This manuscript explores the application of qualitative, quantitative, and mixed-met
Externí odkaz:
http://arxiv.org/abs/2411.17943
We present new unconstrained simulations and constrained experiments of a pair of pitching hydrofoils in a leader-follower in-line arrangement. Free-swimming simulations of foils with $matched$ pitching amplitudes show self-organization into stable f
Externí odkaz:
http://arxiv.org/abs/2410.01932
Weakly-Supervised Video Object Localization (WSVOL) involves localizing an object in videos using only video-level labels, also referred to as tags. State-of-the-art WSVOL methods like Temporal CAM (TCAM) rely on class activation mapping (CAM) and ty
Externí odkaz:
http://arxiv.org/abs/2407.06018
Autor:
Shahbazi, Alireza, Mirsanei, Seyyed Ahmad, Sarraf, Malikeh Haj Khan Mirzaye, Bidgoli, Behrouz Minaei
Planning and reasoning about actions and processes, in addition to reasoning about propositions, are important issues in recent logical and computer science studies. The widespread use of actions in everyday life such as IoT, semantic web services, e
Externí odkaz:
http://arxiv.org/abs/2401.07890
Autor:
Sarraf, Arman, Abbaspour, Amirabbas
The pursuit of article or text summarization has captured the attention of natural language processing (NLP) practitioners, presenting itself as a formidable challenge. ChatGPT 3.5 exhibits the capacity to condense the content of up to 3000 tokens in
Externí odkaz:
http://arxiv.org/abs/2312.03723
Publikováno v:
Image and Vision Computing 140C (2023) 104838
Self-supervised vision transformers (SSTs) have shown great potential to yield rich localization maps that highlight different objects in an image. However, these maps remain class-agnostic since the model is unsupervised. They often tend to decompos
Externí odkaz:
http://arxiv.org/abs/2310.06196
Autor:
Al-Sarraf Mohammed A.
Publikováno v:
Journal of the Mechanical Behavior of Materials, Vol 33, Iss 1, Pp 929-50 (2024)
In order to lessen carbon emissions, preserve natural resources, and enhance the planet’s sustainability for future generations, environmentally friendly and sustainable composites offer a promising solution that combines technological innovation a
Externí odkaz:
https://doaj.org/article/97af49a7b7fa45a187f10deaa3f19b15
Publikováno v:
Journal of the Mechanical Behavior of Materials, Vol 33, Iss 1, Pp 9438-54 (2024)
Natural sources used in industry, such as environmental waste fibers for plants, waste paper, and others, can lessen waste-throwing problems and reduce environmental pollution to save lives on the earth’s crust. The natural composites of natural fi
Externí odkaz:
https://doaj.org/article/04e07ed9b1cd410ca26600f9d0f8b75c
Autor:
Bushra Yasin Abohalawa, Hibah Shaath, Ramesh Elango, Radhakrishnan Vishnubalaji, Sameera Rashid, Reem Al-Sarraf, Mohammed Akhtar, Nehad M. Alajez
Publikováno v:
Cancer Cell International, Vol 24, Iss 1, Pp 1-13 (2024)
Abstract Background Breast cancer is a heterogeneous disease with diverse molecular subtypes, underscoring a better understanding of its molecular features and underlying regulatory mechanisms. Therefore, identifying novel prognostic biomarkers and t
Externí odkaz:
https://doaj.org/article/3e8d9b41d87f4973a9e2ce64d25b6222
Autor:
Jamili Laís Baratieri, Ana Beatriz Bavaresco, Amanda Foltran Sarraf, Kamily Vitória Souza, Carlos Eduardo Kotaka, Priscila Ferst Longhi
Publikováno v:
Revista de Saúde Pública do Paraná, Vol 7, Iss 4, Pp 1-14 (2024)
O presente estudo objetiva analisar o perfil epidemiológico dos óbitos por neoplasia maligna de estômago de 2013 a 2022 nas regionais de saúde do estado do Paraná. Trata-se de um estudo quantitativo ecológico acerca do perfil de mortalidade por
Externí odkaz:
https://doaj.org/article/0e547ad6079f4a238ec54909babf3f38