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Research on TCN Model Based on SSARF Feature Selection in the Field of Human Behavior Recognition
Published 2024-01-01“…To overcome this problem, this paper investigates a temporal convolutional neural network (TCN) model based on improved sparrow search algorithm random forest (SSARF) feature selection to accurately identify human behavioral traits based on wearable devices. …”
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Improved Ozone Level Detection through Feature Selection with Modified Whale Optimization Algorithm
Published 2024-03-01“… This study presents a new approach for ozone level detection through feature selection by the modified Whale Optimization Algorithm (mWOA). …”
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Enhanced Polar Lights Optimization with Cryptobiosis and Differential Evolution for Global Optimization and Feature Selection
Published 2025-01-01Subjects: Get full text
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Application of Feature Selection Based on Elastic Network and Random Forest in the Evaluation of Sports Effects
Published 2022-01-01“…The evaluation algorithm introduces machine learning algorithm and feature selection algorithm to guide the sports effect evaluation research. …”
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An adjoint feature-selection-based evolutionary algorithm for sparse large-scale multiobjective optimization
Published 2025-01-01Subjects: Get full text
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46
Prediction method of gas emission in working face based on feature selection and BO-GBDT
Published 2024-12-01Subjects: Get full text
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47
Performance Assessment of Multiple Classifiers Based on Ensemble Feature Selection Scheme for Sentiment Analysis
Published 2018-01-01“…This paper investigates the inability or incompetency of the widely used feature selection methods (IG, Chi-square, and Gini Index) with unigram and bigram feature set on four machine learning classification algorithms (MNB, SVM, KNN, and ME). …”
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Feature Selection for Very Short-Term Heavy Rainfall Prediction Using Evolutionary Computation
Published 2014-01-01“…The validation set was used to select an important subset from input features. The main features selected were precipitation sensing and accumulated precipitation for 24 hours. …”
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Comparative Study on Heart Disease Prediction Using Feature Selection Techniques on Classification Algorithms
Published 2021-01-01“…This article has conducted an experimental evaluation of the performance of models created using classification algorithms and relevant features selected using various feature selection approaches. …”
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Fusion of MHSA and Boruta for key feature selection in power system transient angle stability
Published 2025-01-01Subjects: Get full text
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52
Characterization of Meteorological Drought Using Monte Carlo Feature Selection and Steady-State Probabilities
Published 2022-01-01“…Further, the RCAMD employs Monte Carlo feature selection (MCFS) and steady-state probabilities (SSPs) to comprehensively collect information from various stations and drought indices. …”
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Identification of Biomarkers for Esophageal Squamous Cell Carcinoma Using Feature Selection and Decision Tree Methods
Published 2013-01-01“…This study proposes a sequential forward feature selection algorithm to design decision tree models for discriminating ESCC from normal tissues. …”
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Causality-driven feature selection and domain adaptation for enhancing chemical foundation models in downstream tasks
Published 2025-01-01“…To address this, we present a novel causal-based framework for feature selection and domain adaptation to enhance the performance of chemical foundation models on downstream tasks. …”
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Comparative Analysis of Deep Learning Algorithm for Cancer Classification using Multi-omics Feature Selection
Published 2022-10-01“…Moreover, this study also investigates the impact of feature selection in multi-omics analysis through the implementation of an embedded feature selection. …”
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Improved TLBO-JAYA Algorithm for Subset Feature Selection and Parameter Optimisation in Intrusion Detection System
Published 2020-01-01“…This condition is attributed to the increasing number of audit data features and the decreasing performance of human-based smart intrusion detection systems regarding classification accuracy, false alarm rate, and classification time. Feature selection and classifier parameter tuning are important factors that affect the performance of any intrusion detection system. …”
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Application of deep learning and feature selection technique on external root resorption identification on CBCT images
Published 2024-02-01Subjects: Get full text
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How to Handle Data Imbalance and Feature Selection Problems in CNN-Based Stock Price Forecasting
Published 2022-01-01Subjects: Get full text
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Feature Selection and Parameter Optimization of Support Vector Machines Based on Modified Cat Swarm Optimization
Published 2015-07-01“…The basic CSO algorithm was integrated with a local search procedure as well as the feature selection and parameter optimization of support vector machines (SVMs). …”
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