Search alternatives:
process optimization » model optimization (Expand Search)
cross process » creep process (Expand Search), prone process (Expand Search), cross project (Expand Search)
arm process » from process (Expand Search), a process (Expand Search), acp process (Expand Search)
binary arm » binary pairs (Expand Search)
process optimization » model optimization (Expand Search)
cross process » creep process (Expand Search), prone process (Expand Search), cross project (Expand Search)
arm process » from process (Expand Search), a process (Expand Search), acp process (Expand Search)
binary arm » binary pairs (Expand Search)
-
1
Optimized Bayesian regularization-back propagation neural network using data-driven intrusion detection system in Internet of Things
Published 2025“…Hence, Binary Black Widow Optimization Algorithm (BBWOA) is proposed in this manuscript to improve the BRBPNN classifier that detects intrusion precisely. …”
-
2
Analysis and design of algorithms for the manufacturing process of integrated circuits
Published 2023“…<p>Abstract: The stage of transporting semiconductor chips from the wafer to the support strip is crucial in the integrated circuit manufacturing process. This process can be modeled as a combinatorial optimization problem where the objective is to reduce the total distance the robotic arm must travel to pick up each chip and place it in its corresponding position within the support structure. …”
-
3
-
4
-
5
Table_1_bSRWPSO-FKNN: A boosted PSO with fuzzy K-nearest neighbor classifier for predicting atopic dermatitis disease.docx
Published 2023“…In bSRWPSO-FKNN, the core of which is to optimize the classification performance of FKNN through binary SRWPSO.…”
-
6
GSE96058 information.
Published 2024“…Subsequently, feature selection was conducted using ANOVA and binary Particle Swarm Optimization (PSO). During the analysis phase, the discriminative power of the selected features was evaluated using machine learning classification algorithms. …”
-
7
The performance of classifiers.
Published 2024“…Subsequently, feature selection was conducted using ANOVA and binary Particle Swarm Optimization (PSO). During the analysis phase, the discriminative power of the selected features was evaluated using machine learning classification algorithms. …”