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Shifted and Weighted LFCC Features for Hand Movements Recognition Using EEG Signals
The Brain computer interface (BCI) technology attracts many researchers due to its vital applications in medicine and biomedical domains. Decoding...
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The Wtfergram: an effective approach for selecting the optimal demodulation band based on the maximum weighted time–frequency energy ratio
Aiming at the problem that the optimal demodulation band is difficult for accurately selecting in the fault diagnosis of rolling bearings, Weighted...
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An Optimal Methodology for Early Prediction of Sudden Cardiac Death Using Advanced Heart Rate Variability Features of ECG Signal
Sudden cardiac death (SCD) is a common cause of mortality in countries all over the world. A person will lose consciousness within a few minutes of...
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An adaptive weighted self-representation method for incomplete multi-view clustering
For multi-view data in reality, part of its elements may be missing because of human or machine error. Incomplete multi-view clustering (IMC)...
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Multicriteria group decision-making based on Fermatean fuzzy fairly weighted and ordered weighted averaging operators
The comprehensive evaluation of digital transformation capability (DTC) for enterprise can not only enhance its innovation capabilities, but also...
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Weighted Intuitionistic Fuzzy C-Means Clustering Algorithms
Atanassov intuitionistic fuzzy set (AIFS)-based C -means algorithms are successful in clustering uncertain or vague real-world datasets. The...
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Auto-weighted multiple kernel tensor clustering
Multiple kernel subspace clustering (MKSC) has attracted intensive attention since its powerful capability of exploring consensus information by...
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A Weighted Naive Bayes for Image Classification Based on Adaptive Genetic Algorithm
Naive Bayes (NB) is a simple and widely used classification model, but due to the conditional independence assumption, the accuracy of NB is not very...
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Optimal allocation and sizing of DG and FCL units in distribution networks to ensure protection coordination and cost reduction
Despite many advantages of distributed generation (DG), it can have adverse effects on the network protection coordination by raising the...
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Application of Weighted Least Squares Algorithm in Machine Vision System
The relationship between camera position and reconstruction accuracy is analyzed, and the weight value is estimated on this basis. The application of...
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Weighted spin torque nano-oscillator system for neuromorphic computing
Neuromorphic computing is a promising strategy to overcome fundamental limitations, such as enormous power consumption, by massive parallel data...
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Bio-inspired voting ensemble weighted extreme learning machine classifier for the detection of Parkinson’s disease
PurposeParkinson’s disease (PD) is a common neurological disorder. As early detection of the PD can help to control the disease, an automated...
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Multiclass skin lesion classification using deep learning networks optimal information fusion
A serious, all-encompassing, and deadly cancer that affects every part of the body is skin cancer. The most prevalent causes of skin lesions are UV...
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Optimal feature subset selection for MRI brain tumor classification using improved ant-lion optimization
An accurate diagnosis of the type of brain tumor is crucial for experts to choose the best course of therapy and increase the patient’s lifetime. The...
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State Feedback H∞ Optimal Control
This chapter presents full information state feedback H∞ optimal control. This control synthesis method uses state-space methods to achieve...
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Community detection in network using chronological gorilla troops optimization algorithm with deep learning based weighted convexity
Community is expressed as the subset of nodes in the graph and the interrelation amongst the nodes within the network is deeper than the remaining...
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Graph autoencoder for directed weighted network
Network embedding technology transforms network structure into node vectors, which reduces the complexity of representation and can be effectively...
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Simpler large margin distribution machine via weighted linear loss for large-scale classification
A large margin distribution machine (LDM) with margin distribution optimization guarantees the good generalization performance of the model. However,...
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Sinter Quality Prediction Based on Multi-Features CNN + LSTM
Aiming at the problem that the sinter ore quality detection is seriously lagging and a single model cannot be accurate, this study proposes a hybrid...
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Application Research and Improvement of Weighted Information Fusion Algorithm and Kalman Filtering Fusion Algorithm in Multi-sensor Data Fusion Technology
In order to improve the accuracy and reliability of the collected data, the weighted information fusion algorithm and the Kalman filtering fusion...
