Search alternatives:
tracking algorithm » tracking algorithms (Expand Search), training algorithms (Expand Search), making algorithm (Expand Search)
experiments based » experiments showed (Expand Search), experimental basis (Expand Search), experimental case (Expand Search)
code algorithm » cosine algorithm (Expand Search), novel algorithm (Expand Search), modbo algorithm (Expand Search)
data tracking » path tracking (Expand Search), data backing (Expand Search), uav tracking (Expand Search)
data code » data model (Expand Search), data came (Expand Search)
tracking algorithm » tracking algorithms (Expand Search), training algorithms (Expand Search), making algorithm (Expand Search)
experiments based » experiments showed (Expand Search), experimental basis (Expand Search), experimental case (Expand Search)
code algorithm » cosine algorithm (Expand Search), novel algorithm (Expand Search), modbo algorithm (Expand Search)
data tracking » path tracking (Expand Search), data backing (Expand Search), uav tracking (Expand Search)
data code » data model (Expand Search), data came (Expand Search)
-
1
Algorithm parameter settings employed in the experiments on simulated data.
Published 2024Subjects: -
2
-
3
-
4
The Pseudo-Code of the IRBMO Algorithm.
Published 2025“…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. …”
-
5
-
6
Code and data.
Published 2025“…This strategy combines the design of experiments (DOE), genetic algorithm (GA), and NLPQL algorithm, which is referred to as the DGN method. …”
-
7
-
8
-
9
-
10
-
11
-
12
-
13
Optimization-Driven Steganographic System Based on Fused Maps and Blowfish Encryption
Published 2025Subjects: -
14
data_code.zip
Published 2024“…In this study, we conduct an in-depth investigation of a novel adaptive covariance inflation algorithm (t-X) within the framework of an observation system simulation experiment (OSSE) based on anintermediate coupled model (ICM) and the Ensemble Adjustment KF(EAKF), aiming to develop a joint approach for optimizing both model parameters and initial fields simultaneously. …”
-
15
-
16
-
17
-
18
G R code algorithm.
Published 2024“…The algorithm was developed and coded in Verilog and simulated using Modelsim. …”
-
19
S1 Code -
Published 2024“…After obtaining the fault features, a multi-fault classifier is designed based on the LSSVM. In order to improve the training speed and reduces storage, a simplified LSSVM model is used to construct the classifier, and the conjugate gradient algorithm is used for training. …”
-
20