Zobrazeno 1 - 10
of 10 456
pro vyhledávání: '"Sarraf, A."'
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:
Sarraf, Saman
Business statistics play a crucial role in implementing a data-driven strategic plan at the enterprise level to employ various analytics where the outcomes of such a plan enable an enterprise to enhance the decision-making process or to mitigate risk
Externí odkaz:
http://arxiv.org/abs/2307.04778
Autor:
Gracen L, Aikebuse M, Sarraf B, McPhail SM, Russell AW, O’Beirne J, Irvine KM, Williams S, Valery PC, Powell EE
Publikováno v:
Patient Preference and Adherence, Vol Volume 18, Pp 1845-1855 (2024)
Lucy Gracen,1 Melanie Aikebuse,2,3 Babak Sarraf,2– 4 Steven M McPhail,5 Anthony W Russell,6 James O’Beirne,7 Katharine M Irvine,8 Suzanne Williams,9 Patricia C Valery,4,* Elizabeth E Powell2– 4,* 1Department of Gastroenterology and Hepa
Externí odkaz:
https://doaj.org/article/10832f40cbf4427eb527e6f4fc09d346
Autor:
Fatemeh Zahra Akbarzadeh, Masoud Sarraf, Erfan Rezvani Ghomi, Vishnu Vijay Kumar, Mojtaba Salehi, Seeram Ramakrishna, Sungchul Bae
Publikováno v:
Journal of Magnesium and Alloys, Vol 12, Iss 7, Pp 2569-2594 (2024)
Magnesium (Mg) and its alloys have recently gained increasing attention in the biomedical field as promising biodegradable materials with harmless degradation products. Magnesium-based alloys have a wide range of biomedical applications because of th
Externí odkaz:
https://doaj.org/article/96ef7458c8044732bc59fd6e1cf683df
Autor:
Ramesh Elango, Vishnubalaji Radhakrishnan, Sameera Rashid, Reem Al-Sarraf, Mohammed Akhtar, Khalid Ouararhni, Nehad M. Alajez
Publikováno v:
Cell Death Discovery, Vol 10, Iss 1, Pp 1-12 (2024)
Abstract Long noncoding RNAs (lncRNAs) play a critical role in breast cancer pathogenesis, including Triple-Negative Breast Cancer (TNBC) subtype. Identifying the lncRNA expression patterns across different breast cancer subtypes could provide valuab
Externí odkaz:
https://doaj.org/article/5ff5530ce2fc49e1b266232186aa3615
Analysis of Failures and Risks in Deep Learning Model Converters: A Case Study in the ONNX Ecosystem
Autor:
Jajal, Purvish, Jiang, Wenxin, Tewari, Arav, Kocinare, Erik, Woo, Joseph, Sarraf, Anusha, Lu, Yung-Hsiang, Thiruvathukal, George K., Davis, James C.
Software engineers develop, fine-tune, and deploy deep learning (DL) models using a variety of development frameworks and runtime environments. DL model converters move models between frameworks and to runtime environments. Conversion errors compromi
Externí odkaz:
http://arxiv.org/abs/2303.17708
This paper presents a new large-scale propagation path loss model to design a fifth-generation (5G) wireless communication system for indoor environments. Simulations for the indoor environment, for all polarization at non-line-of-sight (NLOS) and li
Externí odkaz:
http://arxiv.org/abs/2302.10057