Suchergebnisse - "ensemble learning algorithm"

New Maps of Lunar Surface Oxide Abundances and Mg# Using an Optimized Ensemble Learning Algorithm

Autoren: Chaofa Bian Kefei Zhang Yunzhao Wu et al.

Quelle: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 9119-9134 (2025)

Schlagwörter: KAGUYA multiband imager (MI), Ocean engineering, Chang'e-5 (ce-5), QC801-809, Geophysics. Cosmic physics, improved ensemble learning algorithm, christiansen feature (CF), TC1501-1800, lunar oxide

Zugangs-URL: https://doaj.org/article/843d0ab5d3dc4222b3dcd7f19bec4132

A Remote Sensing Detection Method for Ceracris Kiangsu Tsai in Moso Bamboo Forests Integrating SMOTE Algorithm and Multi-Model Ensemble

Autoren: Na Qin Zhanghua Xu Wensen Yu et al.

Quelle: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 25005-25023 (2025)

Schlagwörter: Interpretability, pest detection, responsiveness, stacking ensemble learning algorithm, Ocean engineering, TC1501-1800, Geophysics. Cosmic physics, QC801-809

Dateibeschreibung: electronic resource

Relation: https://ieeexplore.ieee.org/document/11174951/; https://doaj.org/toc/1939-1404; https://doaj.org/toc/2151-1535

Zugangs-URL: https://doaj.org/article/7c571942eced47c9ac964c4c4ade1ebd

Explainable AutoML models for predicting the strength of high-performance concrete using Optuna, SHAP and ensemble learning

Autoren: Muhammad Salman Khan Tianbo Peng Muhammad Adeel Khan et al.

Quelle: Frontiers in Materials, Vol 12 (2025)

Schlagwörter: Technology, machine learning, SHAP, Optuna, high performance concrete, ensemble learning algorithm, compressive strength

Zugangs-URL: https://doaj.org/article/fc6ad052e0e041c194355fdae5a788dd

C-MEL: Consensus-Based Multiple Ensemble Learning for Indoor Device-Free Localization Through Fingerprinting

Autoren: Dwi Joko Suroso Farid Yuli Martin Adiyatma

Quelle: IEEE Access, Vol 12, Pp 166381-166392 (2024)

Schlagwörter: fingerprinting, C-MEL, consensus strategy, Indoor device-free localization, Electrical engineering. Electronics. Nuclear engineering, ensemble learning algorithm, TK1-9971

Zugangs-URL: https://doaj.org/article/3a5a597b7f7346b89f5fb1ab52eaf04c

Dalgacık Paket Dönüşümü, ReliefF Özellik Seçimi ve Topluluk Öğrenme Algoritması Tabanlı Bir Kısmi Deşarj Arızası Tespit Yöntemi

Autoren: Belkıs ERİŞTİ

Quelle: Volume: 35, Issue: 2 505-516
Fırat Üniversitesi Mühendislik Bilimleri Dergisi
Fırat University Journal of Engineering Science

Schlagwörter: Engineering, Kısmi deşarj, arıza tespiti, dalgacık paket dönüşümü, ReliefF, topluluk öğrenme algoritması, Partial discharge, fault detection, wavelet packet transform, ensemble learning algorithm, Mühendislik

Dateibeschreibung: application/pdf

Zugangs-URL: https://dergipark.org.tr/tr/pub/fumbd/issue/76699/1284537

PreCanCell: An ensemble learning algorithm for predicting cancer and non-cancer cells from single-cell transcriptomes

Autoren: Tao Yang Qiyu Yan Rongzhuo Long et al.

Quelle: Comput Struct Biotechnol J
Computational and Structural Biotechnology Journal, Vol 21, Iss, Pp 3604-3614 (2023)

Schlagwörter: Non-tumor marker genes, Single-cell transcriptomes, Cancer and non-cancer cells, Tumor marker genes, Ensemble learning algorithm, TP248.13-248.65, 3. Good health, Biotechnology, Research Article

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/37501705
https://doaj.org/article/1310ef1906d74fbf8481b1029b8bf26a

Ensemble Learning Algoritması Kullanılarak X-Ku Bant Aralığında Çalışan Mikrodalga Frekans Seçici Yüzey Tasarımı

Autoren: Filiz, Begüm Demirel, Ernur Öz, Esra Neriman et al.

Weitere Verfasser: Filiz, Begüm Demirel, Ernur Öz, Esra Neriman et al.

Schlagwörter: Frequency-selective surfaces, Microwaves frequency, MATLAB, Computer Science, Artificial IntelligenceEngineering, Electrical & Electronic, Frequency selective surface, Design optimization, Design realization, Neural Network, Frekans seçici yüzey, Deep learning, X bands, Frequency selective surfaces, Learning algorithms, Design Optimization, CST microwave studio, Ensemble learning algorithm, Derin öğrenme, Electrical Engineering, Electronics & Computer Science - Artificial Intelligence & Machine Learning - Feature Selection, Antenna, Ensemble learning, Telecommunications, Electromagnetic filters, Studios

Dateibeschreibung: application/pdf

Zugangs-URL: https://hdl.handle.net/20.500.12508/3268
https://hdl.handle.net/20.500.12508/3078

Price Prediction for Fresh Agricultural Products Based on a Boosting Ensemble Algorithm

Autoren: Nana Zhang Qi An Shuai Zhang et al.

Quelle: Mathematics, Vol 13, Iss 1, p 71 (2024)

Schlagwörter: boosting ensemble learning algorithm, light gradient boosting machine, fresh agricultural products, price predictions, Mathematics, QA1-939

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/2227-7390/13/1/71; https://doaj.org/toc/2227-7390

Zugangs-URL: https://doaj.org/article/a4b08e30189f4ea690a64f6719af0fcf

Dam Deformation Prediction Considering the Seasonal Fluctuations Using Ensemble Learning Algorithm

Autoren: Mingkai Liu Yanming Feng Shanshan Yang et al.

Quelle: Buildings, Vol 14, Iss 7, p 2163 (2024)

Schlagwörter: dam deformation, seasonal fluctuations, ensemble learning algorithm, tree-structured parzen estimator, feature importance metrics, Building construction, TH1-9745

Relation: https://www.mdpi.com/2075-5309/14/7/2163; https://doaj.org/toc/2075-5309; https://doaj.org/article/b3554bcb97484bd8a7c44bafc7fed9ed

Verfügbarkeit: https://doi.org/10.3390/buildings14072163
https://doaj.org/article/b3554bcb97484bd8a7c44bafc7fed9ed

Multistage Ensemble Learning Model With Weighted Voting and Genetic Algorithm Optimization Strategy for Detecting Chronic Obstructive Pulmonary Disease

Autoren: Joy Dhar

Quelle: IEEE Access, Vol 9, Pp 48640-48657 (2021)

Schlagwörter: LightGBM algorithm, machine learning, recursive feature elimination, genetic algorithm, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, COPD detection, ensemble learning algorithm, TK1-9971, 3. Good health

Zugangs-URL: https://ieeexplore.ieee.org/ielx7/6287639/9312710/09382969.pdf
https://doaj.org/article/9cf3162e1fe44ceab36271dc717d7a37

SAFETY RISK EVALUATIONS OF DEEP FOUNDATION CONSTRUCTION SCHEMES BASED ON IMBALANCED DATA SETS

Autoren: Peisong Gong Haixiang Guo Yuanyue Huang et al.

Quelle: Journal of Civil Engineering and Management, Vol 26, Iss 4 (2020)
Journal of Civil Engineering and Management; Vol 26 No 4 (2020); 380-395

Schlagwörter: deep foundation, Building construction, machine learning, 9. Industry and infrastructure, safety risk evaluation, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, ensemble learning algorithm, imbalanced data set, TH1-9745, 6. Clean water, construction scheme

Dateibeschreibung: application/pdf

Zugangs-URL: https://journals.vgtu.lt/index.php/JCEM/article/download/12321/9883
https://doaj.org/article/b867056a984a40c09e5b2bcb2af28625
https://www.limes.vgtu.lt/index.php/JCEM/article/view/12321
https://www.limes.vgtu.lt/index.php/JCEM/article/download/12321/9883
https://journals.vilniustech.lt/index.php/JCEM/article/view/12321

Effects of Multi-Growth Periods UAV Images on Classifying Karst Wetland Vegetation Communities Using Object-Based Optimization Stacking Algorithm

Autoren: Ya Zhang Bolin Fu Xidong Sun et al.

Quelle: Remote Sensing, Vol 15, Iss 4003, p 4003 (2023)

Schlagwörter: karst wetland, vegetation communities’ classification, multi-growth periods, stacking ensemble learning algorithm, SHAP Visual Analysis, UAV imagery, Science

Relation: https://www.mdpi.com/2072-4292/15/16/4003; https://doaj.org/toc/2072-4292; https://doaj.org/article/e95bedb5c62e4acca1337ee62eaa95d3

Verfügbarkeit: https://doi.org/10.3390/rs15164003
https://doaj.org/article/e95bedb5c62e4acca1337ee62eaa95d3

Comparison of RFE-DL and stacking ensemble learning algorithms for classifying mangrove species on UAV multispectral images

Autoren: Bolin Fu Xu He Hang Yao et al.

Quelle: International Journal of Applied Earth Observations and Geoinformation, Vol 112, Iss , Pp 102890- (2022)

Schlagwörter: Mangrove species, UAV multispectral images, Image segmentation and feature selection, Stacking ensemble learning algorithm, DeeplabV3+ and PSPNet algorithm, Physical geography, GB3-5030, Environmental sciences, GE1-350

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S1569843222000929; https://doaj.org/toc/1569-8432

Zugangs-URL: https://doaj.org/article/d31c32a91b3047ed9ad3466550481b51

Fall detection system for elderly people using IoT and ensemble machine learning algorithm

Autoren: Carlos E. Palau Manuel Esteve Diana Yacchirema et al.

Weitere Verfasser: Carlos E. Palau Manuel Esteve Diana Yacchirema et al.

Quelle: RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
Universitat Politècnica de València (UPV)

Schlagwörter: 6LowPAN, IoT gateway, Random Forest, Accelerometer sensor, Fall detection, Internet of Things, 0202 electrical engineering, electronic engineering, information engineering, INGENIERIA TELEMATICA, 02 engineering and technology, Elderly people, Ensemble learning algorithm

Dateibeschreibung: application/pdf

Zugangs-URL: https://riunet.upv.es/handle/10251/161870
https://hdl.handle.net/10251/161870
https://doi.org/10.1007/s00779-018-01196-8

Stacking Model for Photovoltaic-Power-Generation Prediction

Autoren: Hongchao Zhang Tengteng Zhu

Quelle: Sustainability, Vol 14, Iss 5669, p 5669 (2022)

Schlagwörter: photovoltaic power generation, stacking model, ensemble-learning algorithm, Environmental effects of industries and plants, TD194-195, Renewable energy sources, TJ807-830, Environmental sciences, GE1-350

Relation: https://www.mdpi.com/2071-1050/14/9/5669; https://doaj.org/toc/2071-1050; https://doaj.org/article/9855ee4efe7d42a28f2d4c8f361447c8

Verfügbarkeit: https://doi.org/10.3390/su14095669
https://doaj.org/article/9855ee4efe7d42a28f2d4c8f361447c8

Measurement and Spatial-Temporal Evolution Characteristics of Low-Carbon Cities with High-Quality Development: The Case Study of the Yangtze River Economic Belt, China

Autoren: Haonan Yang Liang Chen Huan Huang et al.

Quelle: Sustainability, Vol 14, Iss 9686, p 9686 (2022)

Schlagwörter: low-carbon city, core drivers exploration, ensemble learning algorithm, spatial autocorrelation analysis, Yangtze River Economic Belt, Environmental effects of industries and plants, TD194-195, Renewable energy sources, TJ807-830, Environmental sciences, GE1-350

Relation: https://www.mdpi.com/2071-1050/14/15/9686; https://doaj.org/toc/2071-1050; https://doaj.org/article/45d82c3bf6d44bf0b323673436a5772b

Verfügbarkeit: https://doi.org/10.3390/su14159686
https://doaj.org/article/45d82c3bf6d44bf0b323673436a5772b

Human Activity Recognition Using an Ensemble Learning Algorithm with Smartphone Sensor Data

Autoren: Tan-Hsu Tan Jie-Ying Wu Shing-Hong Liu et al.

Quelle: Electronics, Vol 11, Iss 322, p 322 (2022)

Schlagwörter: ensemble learning algorithm, human activity recognition, gated recurrent units, convolutional neural network, Electronics, TK7800-8360

Relation: https://www.mdpi.com/2079-9292/11/3/322; https://doaj.org/toc/2079-9292; https://doaj.org/article/5891ae775c784283a0b9f1ee8e8c2bbe

Verfügbarkeit: https://doi.org/10.3390/electronics11030322
https://doaj.org/article/5891ae775c784283a0b9f1ee8e8c2bbe

Ensemble Learning-Enabled Security Anomaly Identification for IoT Cyber–Physical Power Systems

Autoren: Hongjun Zhao Changjun Li Xin Yin et al.

Quelle: Electronics, Vol 11, Iss 4043, p 4043 (2022)

Schlagwörter: cyber–physical power system (CPPS), Internet of Things (IoT) scenario, ensemble learning algorithm, analytic hierarchy process, abnormal attack behaviors, Electronics, TK7800-8360

Relation: https://www.mdpi.com/2079-9292/11/23/4043; https://doaj.org/toc/2079-9292; https://doaj.org/article/92e61ec32cd44e9cafb74853ad05f685

Verfügbarkeit: https://doi.org/10.3390/electronics11234043
https://doaj.org/article/92e61ec32cd44e9cafb74853ad05f685

Combination of Hyperspectral and Quad-Polarization SAR Images to Classify Marsh Vegetation Using Stacking Ensemble Learning Algorithm

Autoren: Hang Yao Bolin Fu Ya Zhang et al.

Quelle: Remote Sensing, Vol 14, Iss 5478, p 5478 (2022)

Schlagwörter: marsh vegetation classification, hyperspectral and quad-polarization SAR images, polarimetric decomposition, stacking ensemble learning algorithm, GF-3, ALOS-2, Science

Relation: https://www.mdpi.com/2072-4292/14/21/5478; https://doaj.org/toc/2072-4292; https://doaj.org/article/30995eae722d4ab6b1d7bf25d5e6b642

Verfügbarkeit: https://doi.org/10.3390/rs14215478
https://doaj.org/article/30995eae722d4ab6b1d7bf25d5e6b642

Distributed Economic Optimal Scheduling Scheme for Ship-Integrated Energy System Based on Load Prediction Algorithm

Autoren: Yuxin Zhang Qihe Shan Fei Teng et al.

Quelle: Frontiers in Energy Research, Vol 9 (2021)

Schlagwörter: ship integrated energy system, energy management, renewable generation devices, load forecasting algorithm, distributed optimal scheduling, ensemble learning algorithm, General Works

Dateibeschreibung: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fenrg.2021.720374/full; https://doaj.org/toc/2296-598X

Zugangs-URL: https://doaj.org/article/406058cad60548dfa8813f4293c08326