Search Results - Machine Learning Algorithm

Sustainable Selection of Machine Learning Algorithm for Gender-bias Attenuated Prediction

Authors: Orbay, Raik Wikner, Evelina

Source: IEEE Open Journal of Vehicular Technology. 6:348-358

Subject Terms: Feature engineering, Energy consumption, Battery electric vehicles, Unsupervised/supervised learning, Driving style classification, Machine learning

File Description: electronic

Access URL: https://research.chalmers.se/publication/543996
https://research.chalmers.se/publication/543996/file/543996_Fulltext.pdf

Enhanced IoT-Based Face Mask Detection Framework Using Optimized Deep Learning Models: A Hybrid Approach With Adaptive Algorithms

Authors: Dubey, Parul Dubey, Pushkar Iwendi, Celestine et al.

Source: IEEE Access. 13:17325-17339

Subject Terms: deep learning, face mask detection, Hybrid Flame-Sailfish Optimization, IoT-enabled devices, ResNet50

File Description: electronic

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-46505
https://doi.org/10.1109/access.2025.3532764

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

XGBoost machine learning algorithm for predicting unplanned readmission in elderly patients with coronary heart disease.

Authors: Song X Shi J Zhu C et al.

Source: Geriatric nursing (New York, N.Y.) [Geriatr Nurs] 2025 Nov-Dec; Vol. 66 (Pt B), pp. 103609. Date of Electronic Publication: 2025 Sep 12.

Publication Type: Journal Article

Journal Info: Publisher: Mosby-Yearbook Country of Publication: United States NLM ID: 8309633 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1528-3984 (Electronic) Linking ISSN: 01974572 NLM ISO Abbreviation: Geriatr Nurs Subsets: MEDLINE

MeSH Terms: Patient Readmission*/statistics & numerical data , Coronary Disease*/therapy , Machine Learning* , Algorithms*, Humans ; Male ; Aged ; Female ; Retrospective Studies ; Aged, 80 and over ; China ; Length of Stay/statistics & numerical data ; ROC Curve ; Boosting Machine Learning Algorithms

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

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

Macroeconomic Drivers of SP500 Returns: Insights for Predictive Trading: Combining Traditional Econometrics and Modern Machine Learning in a Rule-Based Algorithm

Authors: Silva, Daniel Carlos Kinnunen da Bravo, Jorge Miguel Ventura RUN

Contributors: Silva, Daniel Carlos Kinnunen da Bravo, Jorge Miguel Ventura RUN

Subject Terms: Macroeconomic indicators, SP500 returns, trading algorithm, Vector Autoregression (VAR), GARCH, Random Forest, machine learning, risk-adjusted performance, financial econometrics, rolling backtest, 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/10362/190080

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

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

Machine learning algorithm for GPCR-A17 ligand action prediction: A Novel Approach to Drug Discovery

MACHINE LEARNING ALGORITHM FOR GPCR-A17 LIGAND ACTION PREDICTION: A Novel Approach to Drug Discovery

Authors: Silva, Rodolfo Miguel Tavares da

Subject Terms: GPCRs, Artificial Intelligence, Machine Learning, Deep Learning, Drug Discovery, Inteligência Artificial, Descoberta de Medicamentos

Availability: https://hdl.handle.net/10316/117960

Enhanced Butterfly Optimization and Deep Learning Algorithm for Student Placement Prediction

Authors: T. Kavi Priya null N. Kumar

Source: International Transactions on Electrical Engineering and Computer Science, Vol 4, Iss 2 (2025)

Subject Terms: Deep learning (DL) algorithm, Improved Long short-term memory (ILSTM), Enhanced Butterfly optimization algorithm (EBOA), K-Means Clustering (KMC) algorithm, Campus placement (CP), Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Access URL: https://doaj.org/article/89ea3be88d9c41aa8d7afcdbafc805a4

Machine Learning-Based Algorithm to Predict Procedural Success in a Large European Cohort of Hybrid Chronic Total Occlusion Percutaneous Coronary Interventions

Authors: Moroni, Alice Mascaretti, Andrea Dens, Jo et al.

Source: The American journal of cardiology

Subject Terms: Male, Cardiac & Cardiovascular Systems, SCORING SYSTEM, Coronary Angiography, Machine Learning, AGE, Percutaneous Coronary Intervention, Humans, COMPUTED-TOMOGRAPHY, chronic total occlusion, 1102 Cardiorespiratory Medicine and Haematology, ARTERY, Aged, OUTCOMES, Science & Technology, percutaneous coronary intervention, Middle Aged, artificial intelligence, BODY-MASS INDEX, Europe, INSIGHTS, machine learning, Treatment Outcome, Coronary Occlusion, ROC Curve, Cardiovascular System & Hematology, CONTEMPORARY, REGISTRY, Chronic Disease, Cardiovascular System & Cardiology, procedural success, REVASCULARIZATION, Female, Human medicine, 3201 Cardiovascular medicine and haematology, Life Sciences & Biomedicine, Algorithms

Access URL: https://pubmed.ncbi.nlm.nih.gov/40204173
https://pure.eur.nl/en/publications/37779897-46a3-48b8-adba-9c0270ba6597
https://doi.org/10.1016/j.amjcard.2025.04.001
https://lirias.kuleuven.be/handle/20.500.12942/750425
https://doi.org/10.1016/j.amjcard.2025.04.001
https://hdl.handle.net/10067/2144000151162165141

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

Preliminary Results on Automated Binary Classification of Congenital Heart Defects in Fetal Ultrasound Images Using Deep Learning Algorithm

Authors: Kristina Ćaleta Ana Šarčević Jelena Božek et al.

Source: 2025 MIPRO 48th ICT and Electronics Convention. :1310-1315

Subject Terms: Classification algorithms, Ultrasonic imaging, Medical diagnostic imaging, Congenital Heart Disease, Deep learning, Diseases, Thermal stability, ResNet-18, Fetus, Deep Learning, Medical Image Analysis, Training, Fetal Ultrasound, Accuracy, Prediction algorithms

Deep learning for object recognition: A comprehensive review of models and algorithms

Authors: Paschalis Tsirtsakis Georgios Zacharis George S. Maraslidis et al.

Source: International Journal of Cognitive Computing in Engineering, Vol 6, Iss, Pp 298-312 (2025)

Subject Terms: Electronic computers. Computer science, Science, Datasets, Computer vision, Deep learning, Convolutional neural networks, Object recognition, QA75.5-76.95

Access URL: https://doaj.org/article/863471311a9c460f9c6ebf2ab15141f3

DCD-MUSIC: Deep-Learning-Aided Cascaded Differentiable MUSIC Algorithm for Near-Field Localization of Multiple Sources

Authors: Gast, Arad Le Magoarou, Luc Shlezinger, Nir et al.

Contributors: Gast, Arad Le Magoarou, Luc Shlezinger, Nir et al.

Source: ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). :1-5

Subject Terms: Artificial neural networks, Speech processing, [SPI] Engineering Sciences [physics], Location awareness, Wireless communication, Pattern classification, Machine learning algorithms, Noise, Signal processing algorithms, Reliability, Multiple signal classification

File Description: application/pdf

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

Predicting EQ-5D full health state in systemic lupus erythematosus using machine learning algorithms

Authors: Botto, João Cetrez, Nursen Nikolopoulos, Dionysis et al.

Source: Rheumatology. 9(2)

Subject Terms: EQ-5D, machine learning, patient-reported outcomes, quality of life, systemic lupus erythematosus

File Description: print

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-120760
https://doi.org/10.1093/rap/rkaf032

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

Machine Learning (ML) Algorithm to Predict Mortality of Trauma Patients Admitted to the Intensive Care Units (ICU) in Northwest Ethiopia.

Authors: Messelu MA Ayenew T Amha H et al.

Source: Nursing in critical care [Nurs Crit Care] 2025 Nov; Vol. 30 (6), pp. e70190.

Publication Type: Journal Article; Multicenter Study

Journal Info: Publisher: Wiley Country of Publication: England NLM ID: 9808649 Publication Model: Print Cited Medium: Internet ISSN: 1478-5153 (Electronic) Linking ISSN: 13621017 NLM ISO Abbreviation: Nurs Crit Care Subsets: MEDLINE

MeSH Terms: Machine Learning* , Intensive Care Units*/statistics & numerical data , Intensive Care Units*/organization & administration , Wounds and Injuries*/mortality , Hospital Mortality* , Algorithms*, Humans ; Ethiopia/epidemiology ; Male ; Female ; Cross-Sectional Studies ; Retrospective Studies ; Middle Aged ; Adult