Search alternatives:
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
elements method » element method (Expand Search)
using algorithm » using algorithms (Expand Search), routing algorithm (Expand Search), fusion algorithm (Expand Search)
code algorithm » cosine algorithm (Expand Search), novel algorithm (Expand Search), modbo algorithm (Expand Search)
data code » data model (Expand Search), data came (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
elements method » element method (Expand Search)
using algorithm » using algorithms (Expand Search), routing algorithm (Expand Search), fusion algorithm (Expand Search)
code algorithm » cosine algorithm (Expand Search), novel algorithm (Expand Search), modbo algorithm (Expand Search)
data code » data model (Expand Search), data came (Expand Search)
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Contactless Mobile Payment Framework and Software Application: Computer Programming Code and Data
Published 2025Subjects: -
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Statistics of GI data processing using different algorithms at various input CTTDs.
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Statistics of HEWL data processing using different algorithms at various input CTTDs.
Published 2025Subjects: -
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Effects of Nash equilibrium speed changes with the non-sensory motor algorithm on encounters, agent numbers, and payoffs.
Published 2025“…The agent’s life history in this model is the same as the sensory–motor algorithm model, including movement, feeding, energy gain/loss, reproduction, and death. …”
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Research data for paper: Efficient Event-based Delay Learning in Spiking Neural Networks
Published 2025“…</li></ol><p dir="ltr">The data was generated and analysed with the code available on GitHub at https://github.com/mbalazs98/deventprop/</p><p dir="ltr">results.py contains all test accuracies shown in figures 4-7. …”
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Algorithms, data type, and accuracy.
Published 2025“…Many researches have been undertaken to use computer vision on MRI images, and their accuracy ranges from 80–90%, new computer vision algorithms and cutting-edge transformers have the potential to improve this performance.We utilize advanced transformers and computer vision algorithms to enhance diagnostic accuracy, achieving an impressive 99% accuracy in categorizing Alzheimer’s disease stages through translating RNA text data and brain MRI images in near-real-time. …”
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