Search alternatives:
model optimization » codon optimization (Expand Search), global optimization (Expand Search), wolf optimization (Expand Search)
based optimization » whale optimization (Expand Search)
primary data » primary care (Expand Search)
binary cases » binary values (Expand Search), binary labels (Expand Search), binary mask (Expand Search)
cases based » case based (Expand Search), scores based (Expand Search), values based (Expand Search)
data model » data models (Expand Search)
model optimization » codon optimization (Expand Search), global optimization (Expand Search), wolf optimization (Expand Search)
based optimization » whale optimization (Expand Search)
primary data » primary care (Expand Search)
binary cases » binary values (Expand Search), binary labels (Expand Search), binary mask (Expand Search)
cases based » case based (Expand Search), scores based (Expand Search), values based (Expand Search)
data model » data models (Expand Search)
-
1
-
2
-
3
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. The proposed algorithm has two phases: phase one involves training a conventional LSTM network to get initial weights, and phase two involves using the hybrid swarm algorithms, CBOA and PSO, to optimize the weights of LSTM to improve the accuracy. …”
-
4
-
5
-
6
-
7
-
8
-
9
Features selected by optimization algorithms.
Published 2024“…Consequently, the prediction of BrC depends critically on the quick and precise processing of imaging data. The primary reason deep learning models are used in breast cancer detection is that they can produce findings more quickly and accurately than current machine learning-based techniques. …”
-
10
-
11
-
12
-
13
-
14
-
15
-
16
-
17
-
18
-
19
Models’ performance without optimization.
Published 2024“…Analytic approaches, both predictive and retrospective in nature, were used to interpret the data. Our primary objective was to determine the most effective model for predicting COVID-19 cases in the United Arab Emirates (UAE) and Malaysia. …”
-
20