Suchergebnisse - dynamic recursive feature selection algorithm

Intrusion detection using dynamic feature selection and fuzzy temporal decision tree classification for wireless sensor networks von Nancy, Periasamy, Muthurajkumar, S, Ganapathy, S, Santhosh Kumar, S.V.N, Selvi, M, Arputharaj, Kannan

“… For this purpose, a novel feature selection algorithm named dynamic recursive feature selection algorithm, which selects an optimal number of features from the data …”
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Evolutionary gravitational neocognitron neural network espoused blockchain-based intrusion detection framework for enhancing cybersecurity in a cloud computing environment von Ravi Kanth, R., Prem Jacob, T.

“… ), capable of learning nonlinear feature hierarchies, and optimized using the GarraRufa Fish Optimization Algorithm (GROA …”
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Dynamic feature selection for silicon content prediction in blast furnace using BOSVRRFE von Duan, Junyi

“… ) algorithm for dynamic feature selection. By integrating Bayesian dynamic updating and recursive optimization, BOSVRRFE adjusts feature importance in real-time, efficiently optimizing input variables …”
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Zoo: Selecting Transcriptomic and Methylomic Biomarkers by Ensembling Animal-Inspired Swarm Intelligence Feature Selection Algorithms von Han, Yuanyuan, Huang, Lan, Zhou, Fengfeng

“… the samples. A feature selection (FS) algorithm selects a subset of the transcriptomic or methylomic biomarkers in order to build a better prediction model …”
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A dynamic recursive feature elimination framework (dRFE) to further refine a set of OMIC biomarkers von Han, Yuanyuan, Huang, Lan, Zhou, Fengfeng

“… Abstract Motivation A feature selection algorithm may select the subset of features with the best associations with the class labels …”
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IoT-Based Patient Health Data Using Improved Context-Aware Data Fusion And Enhanced Recursive Feature Elimination Model von Saranya, S.S., Sabiyath Fatima, N.

“… The Internet of Things (IoT) in the healthcare market is propelled forward by the implementation of digital systems for monitoring and analysing health …”
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Efficient construction of linear models in materials modeling and applications to force constant expansions von Fransson, Erik, Eriksson, Fredrik, Erhart, Paul

“… of different thermodynamic properties. Generic feature selection algorithms such as recursive feature elimination with ordinary least-squares (OLS …”
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FE-DIoT: IoT Device Classification Through Dynamic Feature Selection and Adaptive Cross-Network Model von Zheng, Hanxi, Yin, Huanpu, Li, Haisheng

“… Our approach leverages the Dynamic Weight Adjustment-Based Recursive Feature Elimination (DWA-RFE) algorithm to effectively minimize redundancy, thus …”
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dRFEtools: dynamic recursive feature elimination for omics von Benjamin, Kynon J M, Katipalli, Tarun, Paquola, Apuã C M

“… Results To overcome these limitations, we present dRFEtools that implements dynamic recursive feature elimination (RFE …”
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A big data analysis algorithm for massive sensor medical images von Alzakari, Sarah A., Alruwais, Nuha, Sorour, Shaymaa, Ebad, Shouki A., Hassan Elnour, Asma Abbas, Sayed, Ahmed

“… Big data analytics for clinical decision-making has been proposed for various clinical sectors because clinical decisions are more evidence-based and …”
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Machine Learning Insights: Exploring Key Factors Influencing Sale-to-List Ratio—Insights from SVM Classification and Recursive Feature Selection in the US Real Estate Market von Sobieraj, Janusz, Metelski, Dominik

“… Recursive Feature Elimination (RFE) is used to identify influential variables that provide insight into market dynamics …”
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Research on the Distribution of Remaining Gas Based on the Dynamic Fine-Grained K-Means Recursive Algorithm von Zhao, Chunlan, He, Xi, Guo, Ping, Jing, Jintao, Zheng, Wenjuan, Wu, Xiang

“… Firstly, two machine learning algorithms are used to identify the main factors affecting the remaining gas …”
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Object-Based Wetland Vegetation Classification Using Multi-Feature Selection of Unoccupied Aerial Vehicle RGB Imagery von Zhou, Rui, Yang, Chao, Li, Enhua, Cai, Xiaobin, Yang, Jiao, Xia, Ying

“… Accurate distribution mapping and dynamic change monitoring of vegetation are essential for wetland conservation and restoration …”
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Multi-dimensional assessment of flood susceptibility drivers in the urban watershed of Guwahati von Ahmed, Ishita Afreen, Talukdar, Swapan, Naikoo, Mohd Waseem, Shahfahad, Rahman, Atiqur

“… analysis, advanced machine learning (ML) algorithms, and four feature selection methods: genetic algorithm (GA), Boruta, recursive feature elimination …”
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Data-driven predictive models for residential building energy use based on the segregation of heating and cooling days von Kamel, Ehsan, Sheikh, Shaya, Huang, Xueqing

“… the model’s accuracy and minimize the costs. This paper performs feature selection for heating, cooling, hot water, and ventilation loads in residential buildings under the mixed-humid climate zone …”
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AQU-IMF-RFE: an extended feature selection method for intrusion detection in IoMT data using aquila optimization-based mutual information and recursive feature elimination von Basha, Shaik Johny, Veeraiah, D., Lingamgunta, Sumalatha

“… To address this challenge, this study proposes a novel hybrid feature selection method, AQU-IMF-RFE, which integrates Aquila Optimization (AO …”
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An online transfer kernel recursive algorithm for soft sensor modeling with variable working conditions von Zhang, Tianming, Yan, Gaowei, Li, Rong, Xiao, Shuyi, Ren, Mifeng, Cheng, Lan

“… To address these challenges, this study proposed an online transfer kernel recursive algorithm for soft sensor modeling under changing working conditions …”
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Correlating Data-Driven Muscle Selection Approaches to Synergies for Gait Prediction von Guez, Annika, Sebastian Mancero Castillo, C., Hodossy, Balint, Farina, Dario, Vaidyanathan, Ravi

“… We apply greedy search (Recursive Feature Elimination, RFE) and variance-based (Principal Component Analysis, PCA …”
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An improved synergistic dual-layer feature selection algorithm with two type classifier for efficient intrusion detection in IoT environment von Logeswari, G, Thangaramya, K, Selvi, M, Roselind, J. Deepika

“… The proposed IDS encompasses three critical subsystems: data pre-processing, feature selection and detection …”
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Machine learning-driven development of a stratified CES-D screening system: optimizing depression assessment through adaptive item selection von Xu, Ruo-Fei, Liu, Zhen-Jing, Ouyang, Shunan, Dong, Qin, Yan, Wen-Jing, Xu, Dong-Wu

“… (validation samples across age spans). We employed a two-stage machine learning approach: first applying Recursive Feature Elimination with multiple linear regression …”
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