Search alternatives:
based optimization » whale optimization (Expand Search)
case optimization » phase optimization (Expand Search), dose optimization (Expand Search), cost optimization (Expand Search)
binary place » binary image (Expand Search), binary plddt (Expand Search)
place based » plate based (Expand Search)
use case » use cases (Expand Search)
based optimization » whale optimization (Expand Search)
case optimization » phase optimization (Expand Search), dose optimization (Expand Search), cost optimization (Expand Search)
binary place » binary image (Expand Search), binary plddt (Expand Search)
place based » plate based (Expand Search)
use case » use cases (Expand Search)
-
1
MSE for ILSTM algorithm in binary classification.
Published 2023“…The ILSTM was then used to build an efficient intrusion detection system for binary and multi-class classification cases. …”
-
2
Analysis and design of algorithms for the manufacturing process of integrated circuits
Published 2023“…From this, we propose: (i) a new ILP model, and (ii) a new solution representation, which, unlike the reference work, guarantees that feasible solutions are obtained throughout the generation of new individuals. Based on this new representation, we proposed and evaluated other approximate methods, including a greedy algorithm and a genetic algorithm that improve the state-of-the-art results for test cases usually used in the literature. …”
-
3
-
4
-
5
-
6
-
7
-
8
-
9
-
10
-
11
-
12
DataSheet1_Quantum-inspired optimization for wavelength assignment.PDF
Published 2023“…Playing a central role in modern telecommunications, this problem belongs to NP-complete class for a general case so that obtaining optimal solutions for industry-relevant cases is exponentially hard. …”
-
13
Supplementary Material for: Penalized Logistic Regression Analysis for Genetic Association Studies of Binary Phenotypes
Published 2022“…Introduction: Increasingly, logistic regression methods for genetic association studies of binary phenotypes must be able to accommodate data sparsity, which arises from unbalanced case-control ratios and/or rare genetic variants. …”
-
14
-
15
-
16
Summary of LITNET-2020 dataset.
Published 2023“…The ILSTM was then used to build an efficient intrusion detection system for binary and multi-class classification cases. …”
-
17
SHAP analysis for LITNET-2020 dataset.
Published 2023“…The ILSTM was then used to build an efficient intrusion detection system for binary and multi-class classification cases. …”
-
18
Comparison of intrusion detection systems.
Published 2023“…The ILSTM was then used to build an efficient intrusion detection system for binary and multi-class classification cases. …”
-
19
Parameter setting for CBOA and PSO.
Published 2023“…The ILSTM was then used to build an efficient intrusion detection system for binary and multi-class classification cases. …”
-
20
NSL-KDD dataset description.
Published 2023“…The ILSTM was then used to build an efficient intrusion detection system for binary and multi-class classification cases. …”