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pro vyhledávání: '"Abdullah Abdullah"'
Autor:
Abdullah, Abdullah, Sandjaja, Fannya Ratana, Majeed, Ayesha Abdul, Wickremasinghe, Gyan, Rafferty, Karen, Sharma, Vishal
This study investigates uncertainty quantification (UQ) using quantum-classical hybrid machine learning (ML) models for applications in complex and dynamic fields, such as attaining resiliency in supply chain digital twins and financial risk assessme
Externí odkaz:
http://arxiv.org/abs/2411.10254
Transformer architecture currently represents the main driver behind many successes in a variety of tasks addressed by deep learning, especially the recent advances in natural language processing (NLP) culminating with large language models (LLM). In
Externí odkaz:
http://arxiv.org/abs/2405.15953
The attention mechanism is the main component of the transformer architecture, and since its introduction, it has led to significant advancements in deep learning that span many domains and multiple tasks. The attention mechanism was utilized in comp
Externí odkaz:
http://arxiv.org/abs/2403.02411
Alzheimer's disease (AD) is the most common long-term illness in elderly people. In recent years, deep learning has become popular in the area of medical imaging and has had a lot of success there. It has become the most effective way to look at medi
Externí odkaz:
http://arxiv.org/abs/2310.08888
Publikováno v:
Sistemasi: Jurnal Sistem Informasi, Vol 13, Iss 5, Pp 2268-2276 (2024)
Diabetic retinopathy is a serious complication of diabetes that can lead to blindness if not detected and treated early. Automated detection of diabetic retinopathy requires effective feature extraction techniques to enhance diagnostic accuracy. This
Externí odkaz:
https://doaj.org/article/e4378e14cb0b4552ace32c4388d70716
