Search Results - intelligence system ((((svm algorithm) OR (based algorithm))) OR (cloud algorithm))
Search alternatives:
- intelligence system »
- cloud algorithm »
- svm algorithm »
-
1
Intelligent transmission line fault diagnosis using the Apriori associated rule algorithm under cloud computing environment
Published 2024Subjects: “…Artificial Intelligent Algorithms…”
Article -
2
Modeling approach of cloud 4D printing service composition optimization based on non-dominated sorting genetic algorithm III
Published 2024“…This research provides valuable insights for the advancement of intelligent cloud-based 4D printing systems, paving the way for future developments in this field.…”
Get full text
Get full text
Get full text
Article -
3
Internet of Things-based Home Automation with Network Mapper and MQTT Protocol
Published 2025“…Standard cloud-based IoT systems can't fully function in areas with unstable internet. …”
Article -
4
Intrusion Detection Systems, Issues, Challenges, and Needs
Published 2021Get full text
Get full text
Get full text
Article -
5
A Focal load balancer based algorithm for task assignment in cloud environment
Published 2019Get full text
Get full text
Get full text
Conference or Workshop Item -
6
-
7
-
8
Tag cloud algorithm with the inclusion of personality traits
Published 2014“…Therefore, the main objective of this study is to make tag cloud algorithm with the inclusion of personality traits by adjusting two prominent visual features (color and shape) as an integration of layout.In addition, the utilization of RBS (rule bas e system) approach as artificial intelligent method is also taken into account to make knowledge base that stores the relationship between the proper personality elements and particular layout.This paper also discusses findings from satisfaction evaluation of prototyping, which comprises three dimensions facet: overall layout, color, and shape .The findings showed that the majority mean value for each dimension is categorized in agree scale (6-point), which indicates that respondents are satisfied with the tag cloud layout display generated by proposed algorithm.The findings suggest interface designers to be careful in selecting the appropriate tag clouds layout to be displayed for users with varying personality differences.…”
Get full text
Get full text
Get full text
Article -
9
Prediction of photovoltaic system output using hybrid Cuckoo Search Least Square Support Vector Machine / Muhammad Aidil Adha Aziz
Published 2019“…This thesis presents a practical and reliable approach for the prediction of PV power output using an intelligent-based technique namely Cuckoo Search Algorithm - Least Square Support Vector Machine (CS-LSSVM). …”
Get full text
Get full text
Thesis -
10
Advancements in intelligent cloud computing for power optimization and battery management in hybrid renewable energy systems: A comprehensive review
Published 2024“…A cloud computing-based power optimization system (CC-POS) is an important enabler for hybrid renewable-based power systems with higher output, optimal solutions to extend battery storage life, and remotely flexible power distribution control. …”
Review -
11
Computational intelligence approaches for classification of medical data: State-of-the-art, future challenges and research directions
Published 2018“…On the other hand, the hybridization of SVM with other methods such as SVM-Genetic Algorithm (SVM-GA), SVM-Artificial Immune System (SVM-AIS), SVM-AIRS and fuzzy support vector machine (FSVM) had great performances achieving better results in terms of accuracy, sensitivity and specificity.…”
Get full text
Get full text
Article -
12
Artificial intelligent integrated into sun-tracking system to enhance the accuracy, reliability and long-term performance in solar energy harnessing
Published 2022“…The solar energy collected by the sun-tracking system depends on the accuracy of the sun-tracking algorithm, which is different for each type of sun-tracking system. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
13
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 -
14
Dual-tone multifrequency signal detection using support vector machines
Published 2023Subjects:Conference paper -
15
A Principled Design of Intelligent Agent for the SLA negotiation process in cloud computing
Published 2022“…In the dynamic market of cloud and heterogeneous environments, the existing system needs an intelligent agent-based negotiation system (IANS) to handle responsibilities. …”
Get full text
Get full text
Conference or Workshop Item -
16
A Principled Design of Intelligent Agent for the SLA negotiation process in cloud computing
Published 2022“…In the dynamic market of cloud and heterogeneous environments, the existing system needs an intelligent agent-based negotiation system (IANS) to handle responsibilities. …”
Get full text
Get full text
Conference or Workshop Item -
17
3D LiDAR Vehicle Perception and Classification Using 3D Machine Learning Algorithm
Published 2024Get full text
Get full text
Get full text
Get full text
Conference or Workshop Item -
18
A hybrid approach for artificial immune recognition system / Mahmoud Reza Saybani
Published 2016“…The FSR-AIRS2 is a new hybrid algorithm that incorporates the FRA, RRC, and the SVM into AIRS2 in order to produce a stronger classifier. …”
Get full text
Get full text
Thesis -
19
-
20
Application of machine learning algorithms to predict removal efficiency in treating produced water via gas hydrate-based desalination
Published 2025“…In this context. ML algorithms provide powerful data driven means to model complex relationship within experimental datasets to improve process optimisation This study systematically evaluated several supervised ML models, including Random Forest (RF) Support Vector Machines (SVM), Ridge Regression, Lasso Regression, Decision Tree, Extra Tree Regression, Gradient Boost, and XGBoost, to predict removal efficiency in GHBD system. …”
Get full text
Get full text
Article
