Zobrazeno 1 - 10
of 3 934
pro vyhledávání: '"Saboori, A."'
High runtime memory and high latency puts significant constraint on Vision Transformer training and inference, especially on edge devices. Token pruning reduces the number of input tokens to the ViT based on importance criteria of each token. We pres
Externí odkaz:
http://arxiv.org/abs/2410.09324
Activation functions introduce non-linearity into Neural Networks, enabling them to learn complex patterns. Different activation functions vary in speed and accuracy, ranging from faster but less accurate options like ReLU to slower but more accurate
Externí odkaz:
http://arxiv.org/abs/2410.10887
Autor:
Sah, Sudhakar, Ganji, Darshan C., Grimaldi, Matteo, Kumar, Ravish, Hoffman, Alexander, Rohmetra, Honnesh, Saboori, Ehsan
We introduce MCUBench, a benchmark featuring over 100 YOLO-based object detection models evaluated on the VOC dataset across seven different MCUs. This benchmark provides detailed data on average precision, latency, RAM, and Flash usage for various i
Externí odkaz:
http://arxiv.org/abs/2409.18866
Autor:
AskariHemmat, MohammadHossein, Jeddi, Ahmadreza, Hemmat, Reyhane Askari, Lazarevich, Ivan, Hoffman, Alexander, Sah, Sudhakar, Saboori, Ehsan, Savaria, Yvon, David, Jean-Pierre
Quantization lowers memory usage, computational requirements, and latency by utilizing fewer bits to represent model weights and activations. In this work, we investigate the generalization properties of quantized neural networks, a characteristic th
Externí odkaz:
http://arxiv.org/abs/2404.11769
Autor:
Moayedi, Behzad, Keramatfar, Abdalsamad, Goldani, Mohammad Hadi, Fallahi, Mohammad Javad, Jahangirisisakht, Alborz, Saboori, Mohammad, badiei, Leyla
The rapid spread of COVID-19 and the emergence of new variants underscore the importance of effective screening measures. Rapid diagnosis and subsequent quarantine of infected individuals can prevent further spread of the virus in society. While PCR
Externí odkaz:
http://arxiv.org/abs/2311.01854
Autor:
Ashfaq, Saad, Hoffman, Alexander, Mitra, Saptarshi, Sah, Sudhakar, AskariHemmat, MohammadHossein, Saboori, Ehsan
The proliferation of edge devices has unlocked unprecedented opportunities for deep learning model deployment in computer vision applications. However, these complex models require considerable power, memory and compute resources that are typically n
Externí odkaz:
http://arxiv.org/abs/2309.10878
Publikováno v:
Journal of Materials Research and Technology, Vol 33, Iss , Pp 5731-5743 (2024)
In the field of additive manufacturing (AM), a promising alloy that is gaining attention is the near-α Ti–6Al–2Sn–4Zr–2Mo (Ti6242) alloy. This alloy is known for its remarkable resistance to creep and corrosion at elevated temperatures. Howe
Externí odkaz:
https://doaj.org/article/2f9d76e5d7654919bf5bd72015482703
Autor:
Jalil Helali, Mehdi Mohammadi Ghaleni, Ameneh Mianabadi, Ebrahim Asadi Oskouei, Hossein Momenzadeh, Liza Haddadi, Masoud Saboori Noghabi
Publikováno v:
Applied Water Science, Vol 14, Iss 10, Pp 1-19 (2024)
Abstract After precipitation, reference evapotranspiration (ETO) plays a crucial role in the hydrological cycle as it quantifies water loss. ETO significantly impacts the water balance and holds great importance at the basin level because of the spat
Externí odkaz:
https://doaj.org/article/9d62a16cc35145cc92c9c3f1c25b418f
Autor:
Ganji, Darshan C., Ashfaq, Saad, Saboori, Ehsan, Sah, Sudhakar, Mitra, Saptarshi, AskariHemmat, MohammadHossein, Hoffman, Alexander, Hassanien, Ahmed, Léonardon, Mathieu
A lot of recent progress has been made in ultra low-bit quantization, promising significant improvements in latency, memory footprint and energy consumption on edge devices. Quantization methods such as Learned Step Size Quantization can achieve mode
Externí odkaz:
http://arxiv.org/abs/2304.09049
The Association of Dietary Inflammatory Index with the Risk of Type 2 Diabetes: A Case-Control Study
Autor:
Somayeh Saboori, Neda Mousavi, Farhad Vahid, James R Hebert, Omid Asbaghi, Saeed Choobkar, Mehdi Birjandi, Tooba BahramFard, Esmaeil Yousefi Rad
Publikováno v:
Journal of Nutrition and Food Security, Vol 9, Iss 3, Pp 413-422 (2024)
The prevalence rate of type 2 diabetes (T2DM) is increasing worldwide, and the role of diet in its etiology has been established. The Dietary inflammatory index (DII) has attracted significant attention in evaluating associations between diet and dis
Externí odkaz:
https://doaj.org/article/216ba132cd6d43ccafe03a03666456c5