بدائل البحث:
using algorithm » using algorithms (توسيع البحث), routing algorithm (توسيع البحث), fusion algorithm (توسيع البحث)
code algorithm » cosine algorithm (توسيع البحث), novel algorithm (توسيع البحث), modbo algorithm (توسيع البحث)
data algorithm » data algorithms (توسيع البحث), update algorithm (توسيع البحث), atlas algorithm (توسيع البحث)
element data » settlement data (توسيع البحث), relevant data (توسيع البحث), movement data (توسيع البحث)
data code » data model (توسيع البحث), data came (توسيع البحث)
using algorithm » using algorithms (توسيع البحث), routing algorithm (توسيع البحث), fusion algorithm (توسيع البحث)
code algorithm » cosine algorithm (توسيع البحث), novel algorithm (توسيع البحث), modbo algorithm (توسيع البحث)
data algorithm » data algorithms (توسيع البحث), update algorithm (توسيع البحث), atlas algorithm (توسيع البحث)
element data » settlement data (توسيع البحث), relevant data (توسيع البحث), movement data (توسيع البحث)
data code » data model (توسيع البحث), data came (توسيع البحث)
-
201
-
202
-
203
-
204
-
205
Contactless Mobile Payment Framework and Software Application: Computer Programming Code and Data
منشور في 2025الموضوعات: -
206
-
207
Statistics of GI data processing using different algorithms at various input CTTDs.
منشور في 2025الموضوعات: -
208
-
209
Statistics of HEWL data processing using different algorithms at various input CTTDs.
منشور في 2025الموضوعات: -
210
Effects of Nash equilibrium speed changes with the non-sensory motor algorithm on encounters, agent numbers, and payoffs.
منشور في 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. …"
-
211
-
212
-
213
Research data for paper: Efficient Event-based Delay Learning in Spiking Neural Networks
منشور في 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. …"
-
214
-
215
-
216
-
217
Algorithms, data type, and accuracy.
منشور في 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. …"
-
218
-
219
-
220
Hyperspectral Camouflage Detection Dataset and Codes
منشور في 2025"…This study proposes a non-destructive classification framework integrating optimized sample partitioning, spectral preprocessing, and residual deep learning to address this challenge. Hyperspectral data of camouflage fabrics and natural grass (389.06–1005.10 nm) were acquired and preprocessed using principal component analysis, standard normal variate transformation, Savitzky–Golay filtering, and derivative-based enhancement. …"