Search Results - "Learning algorithms"

Learning Learning Algorithms

Authors: Esho, Samuel Oluwadara Alexandre, Luís Filipe Barbosa de Almeida uBibliorum

Contributors: Esho, Samuel Oluwadara Alexandre, Luís Filipe Barbosa de Almeida uBibliorum

Source: urn:tid:202559149

Subject Terms: Maml, Maml-Dbl, Metalearning

File Description: application/pdf

Availability: http://hdl.handle.net/10400.6/10817

Big Data-driven Urban Geopolitics, Realistic 3D Scene Construction and Cognitive Automation Technologies, and Predictive Maintenance and Context-Aware Deep Reinforcement Learning Algorithms in the Metaverse Decentralized and Internet of Things Sensing Infrastructure of Immersive 3D Environments

Authors: Popescu, Gheorghe H. Poliakova, Adela Ciurlău, Cristian Florin et al.

Source: Geopolitics, History, and International Relations, 2025 Jan 01. 17(1), 47-61.

Access URL: https://www.jstor.org/stable/48834431

Improving the performance of machine learning algorithms for detection of individual pests and beneficial insects using feature selection techniques

Authors: Aminu, Rabiu Ljungberg, David Nasirahmadi, Abozar et al.

Contributors: Aminu, Rabiu Ljungberg, David Nasirahmadi, Abozar et al.

Source: Artificial Intelligence in Agriculture. 15:377-394

Subject Terms: Artificial Intelligence, Artificiell intelligens, Agricultural Science, Jordbruksvetenskap, Environmental Sciences and Nature Conservation, Miljö- och naturvårdsvetenskap

Access URL: https://res.slu.se/id/publ/141703
https://pub.epsilon.slu.se/id/eprint/37028/contents

Prediction of Middle School Students' Recycling Behaviors with Machine Learning Algorithms

Authors: Fatma Merve Mustafaoglu Fatma Alkan

Source: Science Education International. 2025 36(2):209-218.

Peer Reviewed: Y

Page Count: 10

Descriptors: Middle School Students, Recycling, Student Behavior, Artificial Intelligence, Algorithms, Foreign Countries, Prediction, Conservation (Environment)

Geographic Terms: Turkey

Estudo e parametrização de uma linha de trituração utilizando algoritmos de Machine Learning

Study and parameterization of a crushing line using Machine Learning algorithms

Authors: PEREIRA, ANA LÚCIA DIAS Ferreira, Carlos Manuel Abreu Gomes REPOSITÓRIO P.PORTO

Contributors: PEREIRA, ANA LÚCIA DIAS Ferreira, Carlos Manuel Abreu Gomes REPOSITÓRIO P.PORTO

Source: urn:tid:204032687

Subject Terms: Machine Learning, SCADA, cortiça, otimização da produção, SHAP, Industry 4.0, Indústria 4.0, Cork, Production optimization

File Description: application/pdf

Availability: http://hdl.handle.net/10400.22/30778

Machine Learning Algorithms for E-commerce Personalization: A Systematic Literature Review

Authors: Sicwebu, Andisiwe Rita, Paulo Miguel Rasquinho Ferreira António, Nuno Miguel da Conceição et al.

Contributors: Sicwebu, Andisiwe Rita, Paulo Miguel Rasquinho Ferreira António, Nuno Miguel da Conceição et al.

Subject Terms: Machine Learning, E-commerce Personalization, Recommender Systems, Systematic Review, Bibliometric Analysis, SDG 8 - Decent work and economic growth, SDG 9 - Industry, innovation and infrastructure, SDG 12 - Responsible production and consumption, SDG 17 - Partnerships for the goals, Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação

File Description: application/pdf

Availability: http://hdl.handle.net/10362/190934

Enhancing the Quality of ARGO's In Situ Measurements Data Using Machine Learning Algorithms

Authors: Pereira, Vasco Dias Baptista, Márcia Lourenço RUN

Contributors: Pereira, Vasco Dias Baptista, Márcia Lourenço RUN

Subject Terms: ARGO, Self Organizing Maps, Environment, Data Imputation, Machine Learning for Oceanography, SDG 13 - Climate action, SDG 14 - Life below water, Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação

File Description: application/pdf

Availability: http://hdl.handle.net/10362/190855

Forecasting and Trading of the Stable Cryptocurrencies With Machine Learning and Deep Learning Algorithms for Market Conditions

Authors: Shamshad, Hasib Ullah, Fasee Ullah, Asad et al.

Source: IEEE Access. 11:122205-122220

Subject Terms: ADA Cardano, ARIMA, bidirectional LSTM, Binance, cryptocurrency forecasting, deep learning, Ethereum, FB prophet, machine learning, predictive analytics, Regression analysis, support vector regressor, time series forecasting, unidirectional LSTM, Bitcoin, Costs, Errors, Learning algorithms, Long short-term memory, Mean square error, Support vector machines, Autoregressive integrated moving average(ARIMA), Biological system modeling, Block-chain, Facebook, Facebook prophet, Machine-learning, Prediction algorithms, Predictive models, Support vectors machine, Blockchain

File Description: electronic

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:bth-25642
https://doi.org/10.1109/ACCESS.2023.3327440

Identifying key factors influencing maize stalk lodging resistance through wind tunnel simulations with machine learning algorithms

Authors: Guanmin Huang Ying Zhang Shenghao Gu et al.

Source: Artificial Intelligence in Agriculture, Vol 15, Iss 2, Pp 316-326 (2025)

Subject Terms: Wind tunnel testing, Agriculture, Stalk lodging, Machine learning algorithms, Indicator identification, Maize

Access URL: https://doaj.org/article/950630e01b674c80a1946dd0f7dc0916

Forward Predicting Chromatic-Optical Parameters of the Mixed Light of White-Red Light-Emitting Diode Configurations Based on Deep Learning Algorithms

Authors: Songsheng Lin Huanting Chen Yin Zheng et al.

Source: IEEE Photonics Journal, Vol 17, Iss 3, Pp 1-7 (2025)

Subject Terms: White-red LED configurations, deep learning algorithms, Applied optics. Photonics, QC350-467, Optics. Light, optical and chromatic parameters, spectral power distribution, TA1501-1820

Access URL: https://doaj.org/article/5c8cd203ad91467480d01fb45ff04caf

Prediction of Lymphoma Aggressiveness Using Machine Learning Algorithms

Authors: Julien Cabo Benoît Bihin Nicolas Debortoli et al.

Contributors: Julien Cabo Benoît Bihin Nicolas Debortoli et al.

Source: International journal of laboratory hematology, (2025)

Subject Terms: machine learning, aggressive lymphoma, ensemble learning algorithms, lymph node cytology, predictive modeling

Access URL: https://pubmed.ncbi.nlm.nih.gov/40269341
https://hdl.handle.net/2078.1/301082

Hybrid approaches with conventional and machine learning algorithms for spectrum sensing

Authors: Teixeira, Bruno Miguel Simões

Subject Terms: Spectrum sensing, Modulation classification, Bandwidth estimation, Power spectral density, Deep learning, Convolutional neural networks

File Description: application/pdf

Availability: http://hdl.handle.net/10773/45938

Nowcasting carbon emissions in a data-rich environment: a comparison of dynamic factor models and machine learning algorithms

Authors: Dai, Deliang Karlsson, Hyunjoo Kim Månsson, Kristofer et al.

Source: Annals of Operations Research.

Subject Terms: Carbon dioxide, Emissions, Dynamic factor models (DFMs), Nowcasting, Machine learning, Big data

File Description: print

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-70061
https://doi.org/10.1007/s10479-025-06899-9

Evaluation of unsupervised learning algorithms for the classification of behavior from pose estimation data

Authors: Mlost, Jakub Dawli, Rame Liu, Xuan et al.

Source: Patterns. 6(5)

Subject Terms: behavioral classification, neuroethology, neuroscience, unsupervised learning

File Description: print

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-243064
https://doi.org/10.1016/j.patter.2025.101237

Application of the Different Machine Learning Algorithms to Predict Dry Matter Intake in Feedlot Cattle

Authors: Özgür Koşkan Malik Ergin Hayati Köknaroğlu

Source: Journal of Agricultural Sciences, Vol 31, Iss 1, Pp 91-99 (2025)
Volume: 31, Issue: 191-99
Journal of Agricultural Sciences
Tarım Bilimleri Dergisi

Subject Terms: machine learning algorithms, Zootekni, Genetik ve Biyoistatistik, Agriculture (General), Animal Science, Genetics and Biostatistics, Bigdata, Feedlot cattle, Machine learning algorithms, bigdata, feedlot cattle, S1-972

File Description: application/pdf

Access URL: https://doaj.org/article/dc37093460b0472096a29b471bb968c7
https://dergipark.org.tr/tr/pub/ankutbd/issue/89960/1375383

Rainfall Classification Using Machine Learning Algorithms on Data Mining Platforms

Authors: Sevtap Turk İstanbul University Cerrahpaşa Institutional Repository

Contributors: Sevtap Turk İstanbul University Cerrahpaşa Institutional Repository

Source: IEEE Canadian Journal of Electrical and Computer Engineering. 48:109-114

Subject Terms: Support vector machines, Classification algorithms, Rain, weather forecast, Humidity, Machine learning algorithms, Classification, Nearest neighbor methods, Weather forecasting, machine learning algorithms, Training, open-source data mining software, Data mining, Prediction algorithms

Access URL: https://hdl.handle.net/20.500.12831/26483
https://doi.org/10.1109/icjece.2025.3558882

Deployment of Machine Learning Algorithms on Resource-Constrained Hardware Platforms for Prosthetics

Authors: Just, Fabian Ghinami, Chiara Zbinden, Jan et al.

Source: IEEE Access. 12:40439-40449

Subject Terms: embedded systems, QKeras, quantization, Motion intent recognition, classification, prosthetics, TensorFlow, neural networks, real-Time, machine learning

File Description: electronic

Access URL: https://research.chalmers.se/publication/540589
https://research.chalmers.se/publication/540589/file/540589_Fulltext.pdf

Yoga practices effect on VCSS-based classification of patients with chronic venous insufficiency based on hybrid machine learning algorithms

Authors: Changhong Pan Lu Qi Lili Zhao et al.

Source: International Journal of Cognitive Computing in Engineering, Vol 6, Iss, Pp 255-266 (2025)

Subject Terms: Yoga practices, Venous clinical severity score, Decision Tree classifier, Electronic computers. Computer science, Science, Chronic venous insufficiency, QA75.5-76.95, Hybrid Machine Learning Algorithm

Access URL: https://doaj.org/article/094f4d3829df4bb496d23b86d20d4fbe

Increasing the prediction efficacy of the thermodynamic properties of R515B refrigerant with machine learning algorithms using SMOGN data augmentation method

Authors: Melike Siseci Cesmeli

Source: International Journal of Refrigeration. 179:44-59

Predicting Spatiotemporal Dynamics of Land Use Influenced Thermal Patterns Using Remote Sensing-based Machine Learning Algorithms

Authors: Hamad Ahmed Altuwaijri Abdulla Al Kafy Zullyadini A. Rahaman et al.

Source: Rangeland Ecology & Management. 103:8-27