Výsledky vyhledávání - "Machine Learning algorithms"

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

Autoři: Aminu, Rabiu Ljungberg, David Nasirahmadi, Abozar a další

Přispěvatelé: Aminu, Rabiu Ljungberg, David Nasirahmadi, Abozar a další

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

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

Přístupová URL adresa: 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

Autoři: Fatma Merve Mustafaoglu Fatma Alkan

Zdroj: 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)

Geografický termín: 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

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

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

Zdroj: urn:tid:204032687

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

Popis souboru: application/pdf

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

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

Autoři: Sicwebu, Andisiwe Rita, Paulo Miguel Rasquinho Ferreira António, Nuno Miguel da Conceição a další

Přispěvatelé: Sicwebu, Andisiwe Rita, Paulo Miguel Rasquinho Ferreira António, Nuno Miguel da Conceição a další

Témata: 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

Popis souboru: application/pdf

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

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

Autoři: Pereira, Vasco Dias Baptista, Márcia Lourenço RUN

Přispěvatelé: Pereira, Vasco Dias Baptista, Márcia Lourenço RUN

Témata: 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

Popis souboru: application/pdf

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

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

Autoři: Guanmin Huang Ying Zhang Shenghao Gu a další

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

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

Přístupová URL adresa: https://doaj.org/article/950630e01b674c80a1946dd0f7dc0916

Hybrid approaches with conventional and machine learning algorithms for spectrum sensing

Autoři: Teixeira, Bruno Miguel Simões

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

Popis souboru: application/pdf

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

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

Autoři: Dai, Deliang Karlsson, Hyunjoo Kim Månsson, Kristofer a další

Zdroj: Annals of Operations Research.

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

Popis souboru: print

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

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

Autoři: Özgür Koşkan Malik Ergin Hayati Köknaroğlu

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

Témata: 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

Popis souboru: application/pdf

Přístupová URL adresa: 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

Autoři: Sevtap Turk İstanbul University Cerrahpaşa Institutional Repository

Přispěvatelé: Sevtap Turk İstanbul University Cerrahpaşa Institutional Repository

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

Témata: 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

Přístupová URL adresa: 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

Autoři: Just, Fabian Ghinami, Chiara Zbinden, Jan a další

Zdroj: IEEE Access. 12:40439-40449

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

Popis souboru: electronic

Přístupová URL adresa: 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

Autoři: Changhong Pan Lu Qi Lili Zhao a další

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

Témata: 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

Přístupová URL adresa: 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

Autoři: Melike Siseci Cesmeli

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

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

Autoři: Hamad Ahmed Altuwaijri Abdulla Al Kafy Zullyadini A. Rahaman a další

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

AI Driven Solar Tracking and Smart Wind Turbines - Enhancing Renewable Energy Efficiency Through Adaptive Machine Learning Algorithms

Autoři: Joe Arun C S J Kishore Kunal Suma R a další

Zdroj: Journal of Machine and Computing. :2316-2327

Efficiency and accuracy comparison of machine learning algorithms for predicting US energy consumption across sectors

Autoři: Seyed Matin Malakouti Mohammad Bagher Menhaj Amir Abolfazl Suratgar

Zdroj: South African Journal of Chemical Engineering. 54:424-440

A Method of Kernel Principal Component Analysis and Machine Learning Algorithms for Fault Diagnosis of Power Transformers

Autoři: Zhou Li Fanrong Wang

Zdroj: IEEE Transactions on Dielectrics and Electrical Insulation. 32:3068-3077

Synthetic data generation using machine learning algorithms for enhanced Type 2 diabetes prediction

Autoři: Fadlelmoula, Ahmed Torres, Helena Catarino, Susana Oliveira a další

Přispěvatelé: Fadlelmoula, Ahmed Torres, Helena Catarino, Susana Oliveira a další

Témata: Machine Learning, Privacy Preserving Analytics, Synthetic Tabular Dataset, Type 2 Diabetes

Popis souboru: application/pdf

Dostupnost: https://hdl.handle.net/1822/96824

Application and Optimization of Digital Situated Teaching in University Finance Courses from a Constructivist Perspective: An Analysis Based on Machine Learning Algorithms

Autoři: Zebin Liu Xiaoheng Zhang Wende Liu a další

Zdroj: Education and Information Technologies. 2025 30(13):18059-18088.

Peer Reviewed: Y

Page Count: 30

Descriptors: College Instruction, Teaching Methods, Business Education, Money Management, Constructivism (Learning), Algorithms, College Students, Electronic Learning, Learning Experience, Situated Learning

Assessment of the Performance of Sentinel-2A MSI and Landsat 9 OLI Images in Land Cover/Use Classification by Comparing Machine Learning Algorithms: A Case Study of Soma District, Türkiye

Autoři: Sajaweddin Sadid Kaan Kalkan

Zdroj: Volume: 5, Issue: 112-28
Turkish Journal of Geosciences

Témata: Land Management, Land cover, Remote sensing, Machine learning algorithms and Classification, Arazi Yönetimi

Popis souboru: application/pdf

Přístupová URL adresa: https://dergipark.org.tr/tr/pub/turkgeo/issue/90995/1613103