بدائل البحث:
developing swarm » developing a (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
swarm algorithm » search algorithm (توسيع البحث)
per algorithm » deer algorithm (توسيع البحث), rd algorithm (توسيع البحث), search algorithm (توسيع البحث)
elementi » elements (توسيع البحث), element (توسيع البحث), elemental (توسيع البحث)
developing swarm » developing a (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
swarm algorithm » search algorithm (توسيع البحث)
per algorithm » deer algorithm (توسيع البحث), rd algorithm (توسيع البحث), search algorithm (توسيع البحث)
elementi » elements (توسيع البحث), element (توسيع البحث), elemental (توسيع البحث)
-
1
Social spider optimization algorithm: survey and new applications
منشور في 2024"…This algorithm has been developed over time, resulting in many versions besides theories and findings. …"
احصل على النص الكامل
-
2
Salp swarm algorithm: survey, analysis, and new applications
منشور في 2024"…This chapter offers the sea salmon-associated polyp (SALP) swarm algorithm (SSA) and multipurpose SSA (MSSA) as new optimization algorithms for solving optimization problems with single and multiple objectives. …"
احصل على النص الكامل
-
3
Data of simulation model for photovoltaic system's maximum power point tracking using sequential Monte Carlo algorithm
منشور في 2024"…Additionally, these data can be readily applied to compare algorithmic results referenced by (Babu, T.S. et al., 2015; PrasanthRam, J. et al., 2017) [2,3], and contribute to the development of new processes for practical applications.…"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
4
A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method
منشور في 2022"…To deal with the data-imbalance issue, this research develops an efficient hybrid network-based IDS model (HNIDS), which is utilized using the enhanced genetic algorithm and particle swarm optimization(EGA-PSO) and improved random forest (IRF) methods. …"
-
5
A Multiswarm Intelligence Algorithm for Expensive Bound Constrained Optimization Problems
منشور في 2021"…In general, EAs are mainly categorized into nature-inspired and swarm-intelligence- (SI-) based paradigms. All these developed algorithms have some merits and also demerits. …"
-
6
-
7
Cryptocurrency Exchange Market Prediction and Analysis Using Data Mining and Artificial Intelligence
منشور في 2020"…One of the best algorithms in terms of the result is the Long Short Term Memory (LSTM) since it is based on recurrent neural networks which uses loop as a method to learn from heuristics data. …"
احصل على النص الكامل
-
8
Allocation and re-allocation of data in a grid using an adaptive genetic algorithm
منشور في 2006"…Allocation and re-allocation of data in a grid using an adaptive genetic algorithm. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
conferenceObject -
9
-
10
Efficient Approximate Conformance Checking Using Trie Data Structures
منشور في 2021"…By encoding the proxy behavior using a trie data structure, we obtain a logarithmically reduced search space for alignment computation compared to a set-based representation. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
-
11
Multilayer Reversible Data Hiding Based on the Difference Expansion Method Using Multilevel Thresholding of Host Images Based on the Slime Mould Algorithm
منشور في 2022"…Moreover, the image pixels in different and more similar areas of the image are located next to one another in a group and classified using the specified thresholds. As a result, the embedding capacity in each class can increase by reducing the value of the difference between two consecutive pixels, and the distortion of the marked image can decrease after inserting the personal data using the DE method. …"
احصل على النص الكامل
-
12
-
13
Using Machine Learning Algorithms to Forecast Solar Energy Power Output
منشور في 2025"…We focused on the first 30-min, 3-h, 6-h, 12-h, and 24-h windows to gain an appreciation of the impact of forecasting duration on the accuracy of prediction using the selected machine learning algorithms. The study results show that Random Forest outperformed all other tested algorithms. …"
-
14
Limiting the Collection of Ground Truth Data for Land Use and Land Cover Maps with Machine Learning Algorithms
منشور في 2022"…This was accomplished by (1) extracting reliable LULC information from Sentinel-2 and Landsat-8 s images, (2) generating remote sensing indices used to train ML algorithms, and (3) comparing the results with ground truth data. …"
-
15
A non-convex economic load dispatch problem using chameleon swarm algorithm with roulette wheel and Levy flight methods
منشور في 2023"…An Enhanced Chameleon Swarm Algorithm (ECSA) by integrating roulette wheel selection and Lévy flight methods is presented to solve non-convex Economic Load Dispatch (ELD) problems. …"
احصل على النص الكامل
-
16
A genetic algorithm for testable data path synthesis
منشور في 2017احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
conferenceObject -
17
A neural networks algorithm for data path synthesis
منشور في 2003"…This paper 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
article -
18
Data reductions and combinatorial bounds for improved approximation algorithms
منشور في 2016"…Kernelization algorithms in the context of Parameterized Complexity are often based on a combination of data reduction rules and combinatorial insights. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
19
Distributed dimension reduction algorithms for widely dispersed data
منشور في 2002احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
conferenceObject -
20