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Social Network Feature Extraction: Dimensionality Reduction and Classification
Social network data contains a wealth of user behavior information, providing a basis for studying user preferences and information dissemination...
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Modeling of breakout prediction approach integrating feature dimension reduction with K-means clustering for slab continuous casting
Breakout is a catastrophic accident in continuous casting. The existing breakout prediction methods based on logical judgment and neural networks...
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Comparative Analysis of Dimensionality Reduction Techniques Applied to Disease Classification Tasks
Dimensionality reduction techniques are useful in Machine Learning due they can allow to improve classifiers performance or even use low complexity...
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Feature Reduction
Feature reduction is seen to be important for performing efficient and effective classification, in that no more features than necessary should be...
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Structure-Preserving Model Reduction for Dissipative Mechanical Systems
Suppressing vibrations in mechanical systems, usually described by second-order dynamical models, is a challenging task in mechanical engineering in...
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Digital Image Feature Recognition Method of Mobile Platform Based on Machine Learning
To solve the problem of low recognition accuracy and long recognition time in conventional methods for digital moving image feature recognition, a...
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Fast data-driven model reduction for nonlinear dynamical systems
We present a fast method for nonlinear data-driven model reduction of dynamical systems onto their slowest nonresonant spectral submanifolds (SSMs)....
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Hermite Expansion Technique for Model Reduction of Circuit Systems with Delay Components
Model order reduction technique provides an effective way to reduce computational complexity in large-scale circuit simulations. This paper proposes...
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Evaluation of design innovation using the length-time dimension and regression analysis
Although importance of innovation has been widely recognized, there is a lack of the effective method to evaluate the design innovation. Most of the...
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Real power loss reduction by Q-learning and hyper-heuristic method
This paper proposes an algorithm endorsement design using Q-learning and hyper-heuristic method (QH) to support choice architects select the supreme...
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Diagnosis and green emission reduction of power plant equipment based on machine learning classification algorithm
The failure and unreasonable operation of power plant equipment can lead to energy waste and increased environmental pollution; therefore, effective...
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Design and Analysis of Quad Element UWB MIMO Antenna with Mutual Coupling Reduction Techniques
This manuscript proposes a design of UWB MIMO antenna with different mutual coupling reduction techniques. Initially, single element UWB antenna is...
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On shift selection for Krylov subspace based model order reduction
Mechanical systems are often modeled with the multibody system method or the finite element method and numerically described with systems of...
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Hybrid Feature Selection Method for Binary and Multi-class High Dimension Data
We have proposed a hybrid feature selection method that combines the filter-based feature selection and ensemble learning-based wrapper feature...
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A Physics-Based Reduced Order Model with Machine Learning-Boosted Hyper-Reduction
Physics-Based Reduced Order Models (ROMs) tend to rely on projection-based reduction. This family of approaches utilizes a series of responses of the...
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A Duplex Method for Classification of Parkinson’s Disease Using Data Reduction Techniques
Diagnosis of the progressive neurological disorder, i.e., Parkinson’s disease through different machine learning techniques provides better insights...
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Reduction of Pulsed Eddy Current Probe Footprint Using Sequentially Excited Multiple Coils
In the detection of corrosion under insulation (CUI) using pulsed eddy current testing (PECT) method, it is of great significance to reduce the...
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Comparative Evaluation of PRR and PODA Methods for Model Order Reduction in Electrical Circuits
In the domain of electrical and electronic engineering, managing the complexity of systems with numerous components presents challenges in analysis,...
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Meshing characteristic analysis of spur gear pair with tooth surface wear fault based on improved fractal method
The three-dimensional (3D) fractal contact model of the interaction between gear teeth is established considering the actual surface morphology of...
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Peak-to-Average Power Ratio Reduction of OFDM Systems Towards 6G Communications Using Osprey Optimization Algorithm
The development of 6G communication networks requires increased transmission speeds, extensive data processing capabilities, and minimal...
