Search Results - AdaBoost ensemble learning algorithm

AdaBoost ensemble learning algorithm for precision manufacturing of aerosol jet printing

Authors: Chao Jin Geng Li Baorui Wang et al.

Source: 2025 26th International Conference on Electronic Packaging Technology (ICEPT). :1-6

State-of-Health Estimation of Lithium Battery Based on PKO-Bagging-Adaboost Ensemble Learning Algorithm

Authors: Zhipeng Han Zeyang Chen Tinglong Pan et al.

Source: 2025 4th Conference on Fully Actuated System Theory and Applications (FASTA). :1376-1381

Fault Section Locating Method in Distribution Network with Distributed Generators Based on Adaboost Ensemble Learning Algorithm

Authors: Shi Pan Jipu Gao Haoyu Ma et al.

Source: 2024 3rd International Conference on Power Systems and Electrical Technology (PSET). :145-149

LSTM Short-term Electricity Load Forecasting Model Based on Improved Sparrow Search Algorithm and Ensemble Learning.

Authors: Ze Gong Yong Zhang

Source: Engineering Letters. Aug2025, Vol. 33 Issue 8, p2996-3014. 19p.

Subject Terms: *LONG short-term memory, *LOAD forecasting (Electric power systems), *ENSEMBLE learning, *STATISTICAL reliability, *OPTIMIZATION algorithms, *ELECTRIC power system management

Geographic Terms: AUSTRIA

An Intelligent Learning System for Unbiased Prediction of Dementia Based on Autoencoder and Adaboost Ensemble Learning

Authors: Javeed, Ashir Dallora, Ana Luiza Sanmartin Berglund, Johan et al.

Source: Life. 12(7):1-18

Subject Terms: balanced accuracy, bachine learning, oversampling, dementia prediction

File Description: electronic

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-21677
https://doi.org/10.3390/life12071097

Trustworthy Load Prediction for Cantilever Roadheader Robot Without Imputation.

Authors: Wang, Pengjiang Li, Yuxin Li, Yunwang et al.

Source: Information. Jul2025, Vol. 16 Issue 7, p548. 18p.

Subject Terms: *Prediction algorithms, *Machine learning, Ensemble learning, Multisensor data fusion, Missing data (Statistics)

Empirical Analysis of Machine Learning and Stacking Ensemble Methods for Heart Disease Detection.

Authors: Sadhukhan, Bikash Gupta, Pratick Narayan, Atulya et al.

Source: Journal of Information & Knowledge Management. Aug2025, Vol. 24 Issue 4, p1-26. 26p.

Subject Terms: *Machine learning, Heart diseases, Cardiovascular diseases, Diagnosis, Random forest algorithms, Boosting algorithms, Prediction models, Ensemble learning

Prediction of Sleep Disorder: Insomnia Using AdaBoost Ensemble Learning Algorithm with Grid Search Optimization

Authors: Anshori, Mochammad Kusuma, Wahyu Teja Pradini, Risqy Siwi

Source: InComTech : Jurnal Telekomunikasi dan Komputer; Vol 14, No 1 (2024); 30-38 ; 2579-6089 ; 2085-4811

Subject Terms: Machine Learning, boosting algorithm, healthinformatic, insomnia

File Description: application/pdf

Relation: https://publikasi.mercubuana.ac.id/index.php/Incomtech/article/view/19306/8184; https://publikasi.mercubuana.ac.id/index.php/Incomtech/article/view/19306

Availability: https://publikasi.mercubuana.ac.id/index.php/Incomtech/article/view/19306
https://doi.org/10.22441/incomtech.v14i1.19306

Efficiency of Ensemble Learning Algorithms in the Analysis of Effects of Covid-19 Pandemic on Electricity Consumption in Turkey

Authors: BUYRUKOĞLU, Selim AKBAŞ, Ayhan

Source: Volume: 1, Issue: 1 9-15
Inspiring Technologies and Innovations

Subject Terms: Engineering, Mühendislik, Ensemble Learning Algorithms, Adaboost, Electricity Consumption, Covid-19 Pandemic

File Description: application/pdf

Access URL: https://dergipark.org.tr/tr/pub/inotech/issue/70702/1088633

Optimized Ensemble Learning Approach with Explainable AI for Improved Heart Disease Prediction.

Authors: Mienye, Ibomoiye Domor Jere, Nobert

Source: Information. Jul2024, Vol. 15 Issue 7, p394. 15p.

Subject Terms: *Machine learning, *Artificial intelligence, Random forest algorithms, Heart diseases, Sensitivity & specificity (Statistics)

Energy Consumption Forecasting Using Ensemble Learning Algorithms

Authors: Silva, José Praça, Isabel Pinto, Tiago et al.

Contributors: Silva, José Praça, Isabel Pinto, Tiago et al.

Subject Terms: Electricity consumption, Short-term load forecast, Ensemble learning methods, Forecasting

File Description: application/pdf

Relation: 978-3-030-23946-6

Availability: http://hdl.handle.net/10400.22/16797

Analysis of the Effects of Different Feature Selection Methods and Ensemble Learning Algorithms in Classification of Turkish Invoices

Authors: YILDIZ, İlker KOTAN, Ayberk Emin ALTINEL, Ayşe Berna

Source: Issue: 52 272-278
Avrupa Bilim ve Teknoloji Dergisi
European Journal of Science and Technology

Subject Terms: Electronic Documentation Management Systems, Makine Öğrenme (Diğer), Financial Analysis, Ensemble Learning Algorithms, Feature Selection Methods, Sprinkling technique, machine learning, Information Systems (Other), Data Mining and Knowledge Discovery, Elektronik Belge Yönetim Sistemleri, Veri Madenciliği ve Bilgi Keşfi, Bilgi Sistemleri (Diğer), Finansal Analiz, Topluluk Öğrenme Algoritmaları, Özellik Seçimi Yöntemleri, Serpme tekniği, Makine öğrenmesi, Machine Learning (Other)

File Description: application/pdf

Access URL: https://dergipark.org.tr/tr/pub/ejosat/issue/80795/1340914

AdaBoost-based long short-term memory ensemble learning approach for financial time series forecasting

Authors: Wu, Yungao Gao, Jianwei

Source: Current Science, 2018 Jul 01. 115(1), 159-165.

Access URL: https://www.jstor.org/stable/26978163

基于集成学习的急性呼吸窘迫综合征患者疾病严重程度 辨识算法研究. (Chinese)

Alternate Title: Identification algorithm of disease severity in patients with acute respiratory distress syndrome based on ensemble learning. (English)

Authors: 杨鹏程 邵 新 王春晨 et al.

Source: Chinese Medical Equipment Journal; Feb2025, Vol. 46 Issue 2, p1-9, 9p

Estimating the heavy metal contents in farmland soil from hyperspectral images based on Stacked AdaBoost ensemble learning

Authors: Nan Lin Ranzhe Jiang Genjun Li et al.

Source: Ecological Indicators, Vol 143, Iss , Pp 109330- (2022)

Subject Terms: Hyperspectral image, Soil heavy metals, Concentration prediction, Stacking, AdaBoost, Ecology, QH540-549.5

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S1470160X22008020; https://doaj.org/toc/1470-160X

Access URL: https://doaj.org/article/76844f13f42c427abf6abead37b87377

An Improved Cat Swarm Search-Based Deep Ensemble Learning Model for Group Recommender Systems.

Authors: Roy, Deepjyoti Dutta, Mala

Source: Journal of Information & Knowledge Management. Sep2022, Vol. 21 Issue 3, p1-44. 44p.

Subject Terms: *Recommender systems, *Feature extraction, Deep learning, Convolutional neural networks, Principal components analysis, Classification algorithms, Multicasting (Computer networks)

Enhanced Deep Learning Method for Natural Gas Pipeline Flow Prediction Based on Integrated Learning

Authors: Yunhao Li Changjing Sun Qiang Li

Source: IEEE Access, Vol 12, Pp 83822-83829 (2024)

Subject Terms: AdaBoost algorithm, 11. Sustainability, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, forecasting, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, long short-term memory, natural gas flow, TK1-9971

Access URL: https://doaj.org/article/9298c72d7ceb4417bdf2d4689d69fda3

AdaBoost algorithm for the recognition of young women's body shapes based on 2D images.

Alternate Title: Algoritmul AdaBoost pentru recunoașterea formelor corpului persoanelor tinere de sex feminin pe baza imaginilor 2D.

Authors: YAO TONG MIN YUENING WANG JUN et al.

Source: Industria Textila. 2024, Vol. 75 Issue 4, p415-421. 7p.

Subject Terms: Body image in women, Recognition (Psychology), Machine learning, Stature, Decision trees, Pixels

Enhancing cloud security: A study on ensemble learning‐based intrusion detection systems.

Authors: Al‐Sharif, Maha Bushnag, Anas

Source: IET Communications (Wiley-Blackwell). Oct2024, Vol. 18 Issue 16, p950-965. 16p.

Subject Terms: *COMPUTER network security, *ARTIFICIAL intelligence, MACHINE learning, RANDOM forest algorithms, FEATURE selection, INTRUSION detection systems (Computer security)

Detection of chronic kidney disease by using Adaboost ensemble learning approach

Authors: Aydin Akan Merve Dogruyol Basar Pelin Sari et al.

Source: 2016 24th Signal Processing and Communication Application Conference (SIU). :773-776

Subject Terms: 03 medical and health sciences, 0302 clinical medicine, 3. Good health

Access URL: https://ieeexplore.ieee.org/document/7495854
https://dblp.uni-trier.de/db/conf/siu/siu2016.html#BasarSKA16
http://ieeexplore.ieee.org/document/7495854/
https://doi.org/10.1109/SIU.2016.7495854