بدائل البحث:
network algorithm » new algorithm (توسيع البحث)
element network » alignment network (توسيع البحث)
forms algorithm » forest algorithm (توسيع البحث), forest algorithms (توسيع البحث), boruta algorithm (توسيع البحث)
using algorithm » using algorithms (توسيع البحث), routing algorithm (توسيع البحث), fusion algorithm (توسيع البحث)
based forms » based foods (توسيع البحث), based force (توسيع البحث)
network algorithm » new algorithm (توسيع البحث)
element network » alignment network (توسيع البحث)
forms algorithm » forest algorithm (توسيع البحث), forest algorithms (توسيع البحث), boruta algorithm (توسيع البحث)
using algorithm » using algorithms (توسيع البحث), routing algorithm (توسيع البحث), fusion algorithm (توسيع البحث)
based forms » based foods (توسيع البحث), based force (توسيع البحث)
-
1
-
2
Comparison of different optimization algorithms.
منشور في 2025الموضوعات: "…crayfish optimization algorithm…"
-
3
-
4
Algorithm for the proposed work.
منشور في 2025"…To ensure model interpretability, an XAI-based algorithm named Local Interpretable Model-Agnostic Explanations (LIME) was used to explain the predictions of the proposed framework. …"
-
5
Binary form of Table 1.
منشور في 2025"…The proposed work experiments eight state-of-the-art biclustering algorithms to identify the appropriate biclustering algorithm for the given recommendation task. …"
-
6
-
7
-
8
The Pseudo-Code of the IRBMO Algorithm.
منشور في 2025"…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …"
-
9
-
10
-
11
The run time for each algorithm in seconds.
منشور في 2025"…These methods are tested on both real and synthetic data, with the former taken from a network of air quality monitoring stations across California. …"
-
12
Versions of the core libraries used in this work.
منشور في 2025"…To ensure model interpretability, an XAI-based algorithm named Local Interpretable Model-Agnostic Explanations (LIME) was used to explain the predictions of the proposed framework. …"
-
13
Point cloud data.
منشور في 2025"…The surface is then further segmented using the fuzzy c-means clustering algorithm. Subsequently, the Voronoi diagram algorithm is employed to construct the boundaries of the free-form surface ultimately. …"
-
14
An example of fuzzy HSS in tabular form.
منشور في 2025"…To address these limitations, this paper proposes a novel diagnostic framework based on Hypersoft Fuzzy Rough Set (HSFRS) theory.This hybrid approach integrates the flexibility of hypersoft sets for modeling multi-parameter relationships, the strength of fuzzy logic in handling vagueness, and the approximation capabilities of rough set theory to manage data uncertainty. Using a pseudo fuzzy binary relation, we define lower and upper approximation operators for fuzzy subsets within the parameter space. …"
-
15
An example of a HSS in tabular form.
منشور في 2025"…To address these limitations, this paper proposes a novel diagnostic framework based on Hypersoft Fuzzy Rough Set (HSFRS) theory.This hybrid approach integrates the flexibility of hypersoft sets for modeling multi-parameter relationships, the strength of fuzzy logic in handling vagueness, and the approximation capabilities of rough set theory to manage data uncertainty. Using a pseudo fuzzy binary relation, we define lower and upper approximation operators for fuzzy subsets within the parameter space. …"
-
16
Measurement method of point cloud data.
منشور في 2025"…The surface is then further segmented using the fuzzy c-means clustering algorithm. Subsequently, the Voronoi diagram algorithm is employed to construct the boundaries of the free-form surface ultimately. …"
-
17
-
18
An example of a pseudo HSS in tabular form.
منشور في 2025"…To address these limitations, this paper proposes a novel diagnostic framework based on Hypersoft Fuzzy Rough Set (HSFRS) theory.This hybrid approach integrates the flexibility of hypersoft sets for modeling multi-parameter relationships, the strength of fuzzy logic in handling vagueness, and the approximation capabilities of rough set theory to manage data uncertainty. Using a pseudo fuzzy binary relation, we define lower and upper approximation operators for fuzzy subsets within the parameter space. …"
-
19
IRBMO vs. meta-heuristic algorithms boxplot.
منشور في 2025"…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …"
-
20
IRBMO vs. feature selection algorithm boxplot.
منشور في 2025"…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …"