بدائل البحث:
process optimization » model optimization (توسيع البحث)
robust optimization » robust estimation (توسيع البحث), joint optimization (توسيع البحث)
prone process » whole process (توسيع البحث), phase process (توسيع البحث)
binary prone » binary people (توسيع البحث)
binary b » binary _ (توسيع البحث)
b robust » _ robust (توسيع البحث), a robust (توسيع البحث)
process optimization » model optimization (توسيع البحث)
robust optimization » robust estimation (توسيع البحث), joint optimization (توسيع البحث)
prone process » whole process (توسيع البحث), phase process (توسيع البحث)
binary prone » binary people (توسيع البحث)
binary b » binary _ (توسيع البحث)
b robust » _ robust (توسيع البحث), a robust (توسيع البحث)
-
1
-
2
A* Path-Finding Algorithm to Determine Cell Connections
منشور في 2025"…However, manual annotation proved inefficient and error-prone. To address this, the research integrates a modified A* pathfinding algorithm with a U-Net convolutional neural network, a custom statistical binary classification method, and a personalized Min-Max connectivity threshold to automate the detection of astrocyte connectivity.…"
-
3
Natural language processing for automated quantification of bone metastases reported in free-text bone scintigraphy reports
منشور في 2020"…The aim of this study was to develop a natural language processing (NLP) algorithm for binary classification (single metastasis versus two or more metastases) in bone scintigraphy reports of patients undergoing surgery for bone metastases.…"
-
4
-
5
-
6
-
7
Models and Dataset
منشور في 2025"…<p dir="ltr"><b>P3DE (Parameter-less Population Pyramid with Deep Ensemble):</b><br>P3DE is a hybrid feature selection framework that combines the Parameter-less Population Pyramid (P3) metaheuristic optimization algorithm with a deep ensemble of autoencoders. …"
-
8
Supplementary Material 8
منشور في 2025"…</li><li><b>XGboost: </b>An optimized gradient boosting algorithm that efficiently handles large genomic datasets, commonly used for high-accuracy predictions in <i>E. coli</i> classification.…"