بدائل البحث:
learning algorithm » learning algorithms (توسيع البحث)
developing based » developing a (توسيع البحث), developing 21st (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
data learning » deep learning (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
developing based » developing a (توسيع البحث), developing 21st (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
data learning » deep learning (توسيع البحث)
-
1
UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data
منشور في 2024الموضوعات: -
2
Web Based Online Hybrid Teaching Method of Network Music Course
منشور في 2022"…In the context of big data, the lengthy personalized screening process of users has become one of the problems to be solved. Based on Web data mining, an improved algorithm of hybrid hierarchical recommendation algorithm and genetic algorithm is used in the experiment, and compared with the other two algorithms in the experiment. …"
احصل على النص الكامل
-
3
-
4
Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering
منشور في 2022الموضوعات: "…Data clustering…"
-
5
-
6
Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms
منشور في 2021"…These results outperform the individual modalities with a significant margin (~5%). We also developed a binary template matching-based algorithm, which gives 93.64% accuracy 6X faster. …"
-
7
-
8
Power System Transient Stability Assessment Based on Machine Learning Algorithms and Grid Topology
منشور في 2023"…In this study, the emergency control algorithms based on ensemble machine learning algorithms (XGBoost and Random Forest) were developed for a low-inertia power system. …"
احصل على النص الكامل
article -
9
Artificial intelligence-based methods for fusion of electronic health records and imaging data
منشور في 2022"…In our analysis, a typical workflow was observed: feeding raw data, fusing different data modalities by applying conventional machine learning (ML) or deep learning (DL) algorithms, and finally, evaluating the multimodal fusion through clinical outcome predictions. …"
-
10
Variable Selection in Data Analysis: A Synthetic Data Toolkit
منشور في 2024"…Additionally, eight FSAs are evaluated on these datasets based on their relevance and novelty. The paper first introduces the datasets and then provides a comprehensive experimental analysis of the performance of the selected FSAs on these datasets including testing the FSAs’ resilience on two types of induced data noise. …"
احصل على النص الكامل
article -
11
-
12
-
13
-
14
Genetic-Algorithm-Based Neural Network for Fault Detection and Diagnosis: Application to Grid-Connected Photovoltaic Systems
منشور في 2022"…This is addressed such that the genetic algorithm (GA) technique is used for selecting the best features and the artificial neural network (ANN) classifier is applied for fault diagnosis. …"
-
15
NOVEL STACKING CLASSIFICATION AND PREDICTION ALGORITHM BASED AMBIENT ASSISTED LIVING FOR ELDERLY
منشور في 2022"…Therefore, this thesis proposed a Novel Stacking Classification and Prediction (NSCP) algorithm based on AAL for the older people with Multi-strategy Combination based Feature Selection (MCFS) and Novel Clustering Aggregation (NCA) algorithms. …"
احصل على النص الكامل
-
16
Deep learning-based user experience evaluation in distance learning
منشور في 2023"…More than 160,000 tweets, addressing conditions related to the major change in the education system, were gathered from Twitter social network and deep learning-based sentiment analysis models and topic models based on latent dirichlet allocation (LDA) algorithm were developed and analyzed. …"
-
17
-
18
Machine Learning-Driven Prediction of Corrosion Inhibitor Efficiency: Emerging Algorithms, Challenges, and Future Outlooks
منشور في 2025"…<p dir="ltr">Machine learning (ML) frameworks are transforming the development of corrosion inhibitors by enabling quantitative prediction of inhibition efficiency before synthesis. …"
-
19
-
20