Search Results - (( intelligence based ((e algorithm) OR (_ algorithm)) ) OR ( intelligence based svm algorithm ))*
Search alternatives:
- intelligence based »
- svm algorithm »
- e algorithm »
- based svm »
-
1
Time series data intelligent clustering algorithm for landslide displacement prediction
Published 2018“…To address this problem, an intelligent clustering algorithm for time series data in landslide displacement prediction based on nonlinear dynamic time bending is proposed in this paper. …”
Get full text
Get full text
Get full text
Get full text
Get full text
Article -
2
Artificial intelligence to predict pre-clinical dental student academic performance based on pre-university results: a preliminary study
Published 2024“…RF was the most precise algorithm for predicting grades A, B, and C, followed by LR, DT, and SVM. …”
Get full text
Get full text
Get full text
Get full text
Get full text
Article -
3
-
4
Identification of transformer fault based on dissolved gas analysis using hybrid support vector machine-modified evolutionary particle swarm optimisation
Published 2018“…In this work, a hybrid support vector machine (SVM) with modified evolutionary particle swarm optimisation (EPSO) algorithm was proposed to determine the transformer fault type. …”
Get full text
Get full text
Article -
5
Data mining for structural damage identification using hybrid artificial neural network based algorithm for beam and slab girder / Meisam Gordan
Published 2020“…After evaluating the results of these algorithms, a hybrid Artificial Neural Network-based Imperial Competitive Algorithm (ANN-ICA) was presented in the deployment step of the proposed methodology to identify the structural damage of illustrative structures. …”
Get full text
Get full text
Get full text
Thesis -
6
GA optimization-based BRB AI reasoning algorithm for determining the factors affecting customer churn for operators
Published 2024“…Therefore, in this paper, a belief rule base (BRB) artificial intelligence inference algorithm based on GA optimization to determine the factors affecting customer churn for operators proposed. …”
Get full text
Get full text
Get full text
Article -
7
-
8
-
9
Intelligent detection of DTMF tones using a hybrid signal processing technique with support vector machines
Published 2023“…This paper presents a hybrid signal processing and artificial intelligence based approach for the detection of Dual-tone Multifrequency (DTMF) tones under the influence of White Gaussian Noise (WGN) and frequency variation. …”
Conference paper -
10
Autism Spectrum Disorder Classification Using Deep Learning
Published 2021“…Finally, the effectiveness of the algorithm is evaluated based on the accuracy performance. …”
Get full text
Get full text
Get full text
Get full text
Article -
11
Hybrid harmony search-artificial intelligence models in credit scoring
Published 2019“…Then, the two types of features importance computed from RF algorithm are utilized for the attributes explanation. …”
Get full text
Get full text
Thesis -
12
Computational intelligence approaches for classification of medical data: State-of-the-art, future challenges and research directions
Published 2018“…The results show that on the one hand Support Vector Machine (SVM) and Artificial Immune Recognition System (AIRS) as a single based computational intelligence approach were the best methods in medical applications. …”
Get full text
Get full text
Article -
13
-
14
Intrusion Detection Systems, Issues, Challenges, and Needs
Published 2021Get full text
Get full text
Get full text
Article -
15
-
16
Artificial Intelligence (AI) to predict dental student academic performance based on pre-university results
Published 2022“…Objective: This study aims to predict the academic performance of dental students based on their admission results using Artificial Intelligence. …”
Get full text
Get full text
Proceeding Paper -
17
Dual-tone multifrequency signal detection using support vector machines
Published 2023Subjects:Conference paper -
18
-
19
-
20
Comparative performance of machine learning algorithms for cryptocurrency forecasting
Published 2018“…Machine Learning is part of Artificial Intelligence that has the ability to make future forecastings based on the previous experience. …”
Get full text
Get full text
Get full text
Get full text
Article
