بدائل البحث:
model optimization » codon optimization (توسيع البحث), global optimization (توسيع البحث), wolf optimization (توسيع البحث)
based optimization » whale optimization (توسيع البحث)
primary data » primary care (توسيع البحث)
binary pair » binary pairs (توسيع البحث)
pair model » sir model (توسيع البحث), var model (توسيع البحث), samr model (توسيع البحث)
data based » data used (توسيع البحث)
model optimization » codon optimization (توسيع البحث), global optimization (توسيع البحث), wolf optimization (توسيع البحث)
based optimization » whale optimization (توسيع البحث)
primary data » primary care (توسيع البحث)
binary pair » binary pairs (توسيع البحث)
pair model » sir model (توسيع البحث), var model (توسيع البحث), samr model (توسيع البحث)
data based » data used (توسيع البحث)
-
121
Supplementary file 1_Development of a venous thromboembolism risk prediction model for patients with primary membranous nephropathy based on machine learning.docx
منشور في 2025"…Objective<p>This study utilizes real-world data from primary membranous nephropathy (PMN) patients to preliminarily develop a venous thromboembolism (VTE) risk prediction model with machine learning. …"
-
122
Data Sheet 1_TBESO-BP: an improved regression model for predicting subclinical mastitis.pdf
منشور في 2025"…In this study, an enhanced neural backpropagation (BP) network model for predicting somatic cell count is introduced. The model is based on TBESO (Multi-strategy Boosted Snake Optimizer) and utilizes monthly Dairy Herd Improvement (DHI) data to forecast the status of subclinical mastitis in cows.…"
-
123
-
124
-
125
-
126
-
127
-
128
-
129
-
130
Label-Free Assessment of the Drug Resistance of Epithelial Ovarian Cancer Cells in a Microfluidic Holographic Flow Cytometer Boosted through Machine Learning
منشور في 2021"…Furthermore, it reflects strong potentialities to develop data-driven individualized chemotherapy treatments in the future.…"
-
131
Label-Free Assessment of the Drug Resistance of Epithelial Ovarian Cancer Cells in a Microfluidic Holographic Flow Cytometer Boosted through Machine Learning
منشور في 2021"…Furthermore, it reflects strong potentialities to develop data-driven individualized chemotherapy treatments in the future.…"
-
132
-
133
Supporting data for “The role of forest composition heterogeneity on temperate ecosystem carbon dynamic under climate change"
منشور في 2025"…The process includes (1) harmonizing Landsat 5, 7, 8, and Sentinel-2 data using the HLS algorithm, and (2) filling temporal gaps with an optimized object-based STARFM fusion algorithm. …"
-
134
-
135
-
136
Confusion matrix for multiclass classification.
منشور في 2025"…The experimental protocol involved eight participants performing tasks across four classes of scrolling text. To optimize system accuracy and speed, EEG and NIRS data were segmented into discrete temporal windows. …"
-
137
General flow chart of the proposed method.
منشور في 2025"…The experimental protocol involved eight participants performing tasks across four classes of scrolling text. To optimize system accuracy and speed, EEG and NIRS data were segmented into discrete temporal windows. …"
-
138
Image 2_Integrative prognostic modeling for stage III lung adenosquamous carcinoma post-tumor resection: machine learning insights and web-based implementation.png
منشور في 2024"…</p>Conclusions<p>This study presents a robust machine learning model and a web-based tool that assist healthcare practitioners in personalized clinical decision-making and treatment optimization for ASC patients following primary tumor resection.…"
-
139
Image 1_Integrative prognostic modeling for stage III lung adenosquamous carcinoma post-tumor resection: machine learning insights and web-based implementation.png
منشور في 2024"…</p>Conclusions<p>This study presents a robust machine learning model and a web-based tool that assist healthcare practitioners in personalized clinical decision-making and treatment optimization for ASC patients following primary tumor resection.…"
-
140
primary mouse RT single cell RNA-seq
منشور في 2023"…The clustering was conducted using the graph-based modularity optimization Louvain algorithm implemented in Seurat v3. …"