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pro vyhledávání: '"A. Adewunmi"'
Deep Neural Networks (DNNs) predominantly rely on General Matrix Multiply (GEMM) kernels, which are often accelerated using specialized hardware architectures. Recently, analog photonic GEMM accelerators have emerged as a promising alternative, offer
Externí odkaz:
http://arxiv.org/abs/2407.06134
PubTrend: General Overview of Artificial Intelligence for Colorectal cancer diagnosis from 2010-2022
Autor:
Adewunmi, Mary, Abdel-Salam, Reem
Colorectal cancer (CRC) is among the most prevalent cancers in the world. Due to numerous scholarly papers and broad enquiries about specific use cases for artificial intelligence (AI) in colorectal cancer, researchers find it challenging to explore
Externí odkaz:
http://arxiv.org/abs/2407.06223
Grey Level Co-occurrence Matrix and Grey Level Difference Vector are described and computed for twenty four 128 x 128 x 3 test images along horizontal, vertical and diagonal directions. Second order image statistics such as Contrast, Dissimilarity, H
Externí odkaz:
http://arxiv.org/abs/2403.04038
Autor:
Karempudi, Venkata Sai Praneeth, Vatsavai, Sairam Sri, Thakkar, Ishan, Alo, Oluwaseun Adewunmi, Hastings, Jeffrey Todd, Woods, Justin Scott
Over the past few years, several microring resonator (MRR)-based analog photonic architectures have been proposed to accelerate general matrix-matrix multiplications (GEMMs), which are found in abundance in deep learning workloads.These architectures
Externí odkaz:
http://arxiv.org/abs/2402.11047
Autor:
Vatsavai, Sairam Sri, Karempudi, Venkata Sai Praneeth, Alo, Oluwaseun Adewunmi, Thakkar, Ishan
Several microring resonator (MRR) based analog photonic architectures have been proposed to accelerate general matrix-matrix multiplications (GEMMs) in deep neural networks with exceptional throughput and energy efficiency. To implement GEMM function
Externí odkaz:
http://arxiv.org/abs/2402.03149
Breast cancer remains a critical global health challenge, necessitating early and accurate detection for effective treatment. This paper introduces a methodology that combines automated image augmentation selection (RandAugment) with search optimisat
Externí odkaz:
http://arxiv.org/abs/2311.11065
Publikováno v:
ACS Omega, Vol 9, Iss 49, Pp 48405-48415 (2024)
Externí odkaz:
https://doaj.org/article/16fb2c54b967475bbfd25d2c2e1f75f7
Publikováno v:
Bulletin of the National Research Centre, Vol 48, Iss 1, Pp 1-7 (2024)
Abstract Background Cholera continues to be a major public health threat, especially in regions with poor sanitation and limited access to clean water. Accurate prediction and management of cholera outbreaks are essential to reduce mortality and morb
Externí odkaz:
https://doaj.org/article/0079a47cc48d479380bb55467d5b0d0e
Breast cancer is one of the leading causes of death for women worldwide. Early screening is essential for early identification, but the chance of survival declines as the cancer progresses into advanced stages. For this study, the most recent BRACS d
Externí odkaz:
http://arxiv.org/abs/2309.08745
Autor:
Adewunmi, Yewande Adetoro, Nelson, Margaret, Mompati, Lerato, Molloy, Steven, Adeyemi, Samson
Publikováno v:
Facilities, 2024, Vol. 42, Issue 11/12, pp. 901-927.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/F-11-2023-0094