Browsing by Subject "Feature selection"
Now showing items 1-13 of 13
-
A machine learning-based optimization approach for pre-copy live virtual machine migration
( Springer , 2023 , Article)Organizations widely use cloud computing to outsource their computing needs. One crucial issue of cloud computing is that services must be available to clients at all times. However, the cloud services may be temporarily ... -
An enhanced ensemble deep random vector functional link network for driver fatigue recognition
( Elsevier , 2023 , Article)This work investigated the use of an ensemble deep random vector functional link (edRVFL) network for electroencephalogram (EEG)-based driver fatigue recognition. Against the low feature learning capability of the edRVFL ... -
An investigation to study the effects of Tai Chi on human gait dynamics using classical machine learning
( Elsevier , 2022 , Article)Tai Chi has been proven effective in preventing falls in older adults, improving the joint function of knee osteoarthritis patients, and improving the balance of stroke survivors. However, the effect of Tai Chi on human ... -
Automated Service Delivery and Optimal Placement for CRANs
( Hamad bin Khalifa University Press (HBKU Press) , 2018 , Conference Paper)Traditionally, in cellular networks, users communicate with the base station that serves the particular cell under coverage. The main functions of a base station can be divided into two, which are the baseband unit (BBU) ... -
Designing high-resolution time–frequency and time–scale distributions for the analysis and classification of non-stationary signals: a tutorial review with a comparison of features performance
( Elsevier Inc. , 2018 , Article)This paper deals with the problem of extracting information from non-stationary signals in the form of features that can be used for effective decision-making in both data analysis and machine learning for automatic ... -
Gait recognition based on modified phase-only correlation
( Springer-Verlag London Ltd , 2016 , Article)Gait recognition is an emerging biometric technology aiming to identify people purely through the analysis of the way they walk. The technology has attracted interest as a method of identification because it is noncontact ... -
Graph ensemble deep random vector functional link network for traffic forecasting
(2022 , Article)Traffic forecasting is crucial to achieving a smart city as it facilitates public transportation management, autonomous driving, and the resource relocation of the sharing economy. Traffic forecasting belongs to the ... -
Important complexity reduction of random forest in multi-classification problem
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)Algorithm complexity in machine learning problems has been a real concern especially with large-scaled systems. By increasing data dimensionality, a particular emphasis is placed on designing computationally efficient ... -
IoT malicious traffic identification using wrapper-based feature selection mechanisms
( Elsevier Ltd , 2020 , Article)Machine Learning (ML) plays very significant role in the Internet of Things (IoT) cybersecurity for malicious and intrusion traffic identification. In other words, ML algorithms are widely applied for IoT traffic identification ... -
Metaheurestic algorithm based hybrid model for identification of building sale prices
( Springer Science and Business Media Deutschland GmbH , 2021 , Book chapter)The overall cost of a building depends on several variables such as economical, project physical and financial variables. The CCB (construction cost of building) also depends on deviations of several indices which are not ... -
Multi-Criterial Based Feature Selection for Health Care System
( Springer , 2023 , Article)Health is the basis of a happy and successful living, and modern people have significantly benefited from medical advancements. More information is available to analyze the difficulties that affect our well-being with each ... -
Robust model-free gait recognition by statistical dependency feature selection and Globality-Locality Preserving Projections
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)Gait recognition aims to identify people through the analysis of the way they walk. The challenge of model-free based gait recognition is to cope with various intra-class variations such as clothing variations and carrying ... -
Robustness analysis of the FFT-based segmentation, feature selection and machine fault identification algorithm
( British Institute of Non-Destructive Testing , 2019 , Article)This paper aims to experimentally investigate the robustness of a recently developed fast Fourier transform (FFT)-based segmentation, feature selection and fault identification algorithm for the development of practical ...