بدائل البحث:
binary a » binary rat (توسيع البحث)
a based » _ based (توسيع البحث), 3 based (توسيع البحث), ni based (توسيع البحث)
binary a » binary rat (توسيع البحث)
a based » _ based (توسيع البحث), 3 based (توسيع البحث), ni based (توسيع البحث)
-
1
An enhanced binary Rat Swarm Optimizer based on local-best concepts of PSO and collaborative crossover operators for feature selection
منشور في 2022"…The binary enhanced RSO is built based on three successive modifications: i) an S-shape transfer function is used to develop binary RSO algorithms; ii) the local search paradigm of particle swarm optimization is used with the iterative loop of RSO to boost its local exploitation; iii) three crossover mechanisms are used and controlled by a switch probability to improve the diversity. …"
-
2
-
3
Multiclass feature selection with metaheuristic optimization algorithms: a review
منشور في 2022"…Nevertheless, metaheuristic algorithms attract substantial attention to solving different problems in optimization. …"
احصل على النص الكامل
-
4
-
5
An Intensive and Comprehensive Overview of JAYA Algorithm, its Versions and Applications
منشور في 2021"…In this review paper, JAYA algorithm, which is a recent population-based algorithm is intensively overviewed. …"
احصل على النص الكامل
-
6
Retinal imaging based glaucoma detection using modified pelican optimization based extreme learning machine
منشور في 2024"…Lastly, a newly improved learning algorithm encompasses a modified pelican optimization algorithm (MOD-POA) and an extreme learning machine (ELM) for classification tasks. …"
-
7
A new genetic algorithm approach for unit commitment
منشور في 1997"…In the proposed algorithm, coding the solution of the unit commitment problem is based on mixing binary and decimal representations. …"
احصل على النص الكامل
احصل على النص الكامل
article -
8
-
9
Learning-Based Automatic Modulation Classification
منشور في 2015احصل على النص الكامل
doctoralThesis -
10
Multi Self-Organizing Map (SOM) Pipeline Architecture for Multi-View Clustering
منشور في 2024"…Another problem is that each view contains many features, so usually the multiview dataset is multi-dimensional. This raises basic problems like the need for a dimensionality reduction technique for optimal selection of features, fusing the data of different views, and maintaining the inter- and intra-consensus of the multiview dataset. …"
-
11
A method for data path synthesis using neural networks
منشور في 2017"…Presents a deterministic parallel algorithm to solve the data path allocation problem in high-level synthesis. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
conferenceObject -
12
A hybrid model to predict the pressure gradient for the liquid-liquid flow in both horizontal and inclined pipes for unknown flow patterns
منشور في 2023"…The important feature subset is identified using the modified Binary Grey Wolf Optimization Particle Swarm Optimization (BGWOPSO) algorithm. …"
-
13
-
14
FPGA-Based Network Traffic Classification Using Machine Learning
منشور في 2019احصل على النص الكامل
doctoralThesis -
15
Artificial intelligence-based methods for fusion of electronic health records and imaging data
منشور في 2022"…We present a comprehensive analysis of the various fusion strategies, the diseases and clinical outcomes for which multimodal fusion was used, the ML algorithms used to perform multimodal fusion for each clinical application, and the available multimodal medical datasets. …"