Search alternatives:
samples optimization » kepler optimization (Expand Search), compared optimization (Expand Search), whale optimization (Expand Search)
based optimization » whale optimization (Expand Search)
data samples » dna samples (Expand Search), all samples (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
binary from » diary from (Expand Search), library from (Expand Search)
from based » from case (Expand Search), form based (Expand Search), from laser (Expand Search)
samples optimization » kepler optimization (Expand Search), compared optimization (Expand Search), whale optimization (Expand Search)
based optimization » whale optimization (Expand Search)
data samples » dna samples (Expand Search), all samples (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
binary from » diary from (Expand Search), library from (Expand Search)
from based » from case (Expand Search), form based (Expand Search), from laser (Expand Search)
-
1
-
2
<i>hi</i>PRS algorithm process flow.
Published 2023“…From this dataset we can compute the MI between each interaction and the outcome and <b>(D)</b> obtain a ranked list (<i>I</i><sub><i>δ</i></sub>) based on this metric. …”
-
3
MSE for ILSTM algorithm in binary classification.
Published 2023“…In this paper, a novel, and improved version of the Long Short-Term Memory (ILSTM) algorithm was proposed. The ILSTM is based on the novel integration of the chaotic butterfly optimization algorithm (CBOA) and particle swarm optimization (PSO) to improve the accuracy of the LSTM algorithm. …”
-
4
Identification and quantitation of clinically relevant microbes in patient samples: Comparison of three k-mer based classifiers for speed, accuracy, and sensitivity
Published 2019“…Adopting metagenomic analysis for clinical use requires that all aspects of the workflow are optimized and tested, including data analysis and computational time and resources. …”
-
5
Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results
Published 2025“…A major challenge in bioprocess simulation is the lack of physical and chemical property databases for biochemicals. A Python-based algorithm was developed for estimating the nonrandom two-liquid (NRTL) model parameters of aqueous binary systems in a straightforward manner from simplified molecular-input line-entry specification (SMILES) strings of substances in a system. …”
-
6
-
7
-
8
-
9
-
10
Optimized Bayesian regularization-back propagation neural network using data-driven intrusion detection system in Internet of Things
Published 2025“…Hence, Binary Black Widow Optimization Algorithm (BBWOA) is proposed in this manuscript to improve the BRBPNN classifier that detects intrusion precisely. …”
-
11
-
12
The statistical description of the original data set of the patients (<i>n</i> = 162).
Published 2025Subjects: -
13
The list of parameters of the modified data set for machine learning (<i>n</i> = 162).
Published 2025Subjects: -
14
Flowchart scheme of the ML-based model.
Published 2024“…<b>I)</b> Testing data consisting of 20% of the entire dataset. <b>J)</b> Optimization of hyperparameter tuning. <b>K)</b> Algorithm selection from all models. …”
-
15
-
16
ROC and PR–AUC curves of the ABC–LR–RF hybrid model for IVF outcome prediction.
Published 2025Subjects: -
17
-
18
The comparison of the accuracy score of the benchmark and the proposed models.
Published 2025Subjects: -
19
-
20