Search alternatives:
path optimization » whale optimization (Expand Search), based optimization (Expand Search), _ optimization (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
data path » data data (Expand Search), data part (Expand Search)
swarm » warm (Expand Search)
path optimization » whale optimization (Expand Search), based optimization (Expand Search), _ optimization (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
data path » data data (Expand Search), data part (Expand Search)
swarm » warm (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. 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. …”
-
2
-
3
-
4
-
5
-
6
-
7
-
8
-
9
A* Path-Finding Algorithm to Determine Cell Connections
Published 2025“…Pixel paths were classified using a z-score brightness threshold of 1.21, optimized for noise reduction and accuracy. …”
-
10
-
11
-
12
-
13
-
14
-
15
-
16
-
17
-
18
Pressure-Stabilized Zinc Trifluoride
Published 2020“…By combining the particle swarm optimization algorithm with first-principles calculation, the high-pressure phase diagram of Zn–F binary compounds was established. …”
-
19
Table_1_A scheduling route planning algorithm based on the dynamic genetic algorithm with ant colony binary iterative optimization for unmanned aerial vehicle spraying in multiple...
Published 2022“…Simulation tests reveal that the dynamic genetic algorithm with ant colony binary iterative optimization (DGA-ACBIO) proposed in this study shortens the optimal flight range by 715.8 m, 428.3 m, 589 m, and 287.6 m compared to the dynamic genetic algorithm, ant colony binary iterative algorithm, artificial fish swarm algorithm (AFSA) and particle swarm optimization (PSO), respectively, for multiple tea field scheduling route planning. …”
-
20