Search Results - Machine Learning Algorithm

Enhancing Random Forest Using Genetic Algorithm for Lifelong Machine Learning

Authors: Salwa Rabbi Nishat, T. Barua, Shaibal Ahmed, Mobyen Uddin, Dr et al.

Source: IEEE Access. 14:6310-6325

Subject Terms: genetic algorithm, lifelong learning, Lifelong machine learning, random forest

File Description: print

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-75632
https://doi.org/10.1109/ACCESS.2026.3651601

Multispectral airborne laser scanning for tree species classification: A benchmark of machine learning and deep learning algorithms

Authors: de Paula Pires, Raul Valbuena, Ruben Sveriges lantbruksuniversitet, Originator

Contributors: de Paula Pires, Raul Valbuena, Ruben Sveriges lantbruksuniversitet, Originator

Source: ISPRS Journal of Photogrammetry and Remote Sensing. 233:278-309

Subject Terms: Earth Observation, Jordobservationsteknik

Access URL: https://res.slu.se/id/publ/146529
https://pub.epsilon.slu.se/id/eprint/39750/contents

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

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

Development of a Machine Learning Algorithm-Based Predictive Model for Physical Activity Levels in Lung Cancer Survivors: A Cross-Sectional Study.

Authors: Ma Q Wang R Mo M et al.

Source: Journal of clinical nursing [J Clin Nurs] 2026 Feb; Vol. 35 (2), pp. 719-728. Date of Electronic Publication: 2025 Jul 08.

Publication Type: Journal Article

Journal Info: Publisher: Blackwell Scientific Publications Country of Publication: England NLM ID: 9207302 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1365-2702 (Electronic) Linking ISSN: 09621067 NLM ISO Abbreviation: J Clin Nurs Subsets: MEDLINE

MeSH Terms: Lung Neoplasms*/physiopathology , Lung Neoplasms*/psychology , Cancer Survivors*/psychology , Machine Learning* , Exercise* , Algorithms* , Survivors*, Humans ; Cross-Sectional Studies ; Male ; Female ; Middle Aged ; China ; Aged ; Surveys and Questionnaires ; Adult

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

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*, Length of Stay/statistics & numerical data ; Humans ; Male ; Aged ; Female ; Retrospective Studies ; Aged, 80 and over ; China ; ROC Curve ; Boosting Machine Learning Algorithms

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

The Evolution of Machine Learning Algorithms and Their Contribution to Physical Activity Management.

Authors: Messas K Exarchos T

Source: Advances in experimental medicine and biology [Adv Exp Med Biol] 2026; Vol. 1489, pp. 275-281.

Publication Type: Journal Article; Review

Journal Info: Publisher: Kluwer Academic/Plenum Publishers Country of Publication: United States NLM ID: 0121103 Publication Model: Print Cited Medium: Print ISSN: 0065-2598 (Print) Linking ISSN: 00652598 NLM ISO Abbreviation: Adv Exp Med Biol Subsets: MEDLINE

MeSH Terms: Exercise*/physiology , Machine Learning* , Algorithms*, Humans

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 Algorithm Applied to pH-Impedance Monitoring Tracings Identifies Pathologic Supragastric Belching.

Authors: Rogers BD Holloway M Sawada A et al.

Source: Neurogastroenterology and motility [Neurogastroenterol Motil] 2026 Jan; Vol. 38 (1), pp. e70237.

Publication Type: Journal Article

Journal Info: Publisher: Blackwell Scientific Publications Country of Publication: England NLM ID: 9432572 Publication Model: Print Cited Medium: Internet ISSN: 1365-2982 (Electronic) Linking ISSN: 13501925 NLM ISO Abbreviation: Neurogastroenterol Motil Subsets: MEDLINE

MeSH Terms: Gastroesophageal Reflux*/diagnosis , Gastroesophageal Reflux*/physiopathology , Esophageal pH Monitoring*/methods , Eructation*/diagnosis , Eructation*/physiopathology , Machine Learning* , Algorithms*, Humans ; Male ; Female ; Electric Impedance ; Adult ; Middle Aged ; Neural Networks, Computer ; Cohort Studies ; Aged

Investigating the 2024 Swarm–Like Activity Offshore Kefalonia Island, Aided by Machine Learning Algorithms

Authors: Anagnostou, Vasilis Papadimitriou, Eleftheria Karakostas, Vasileios et al.

Source: Pure and Applied Geophysics. 182(9):3431-3461

Subject Terms: Fluid flow, KTFZ, ML application, Stress transfer, Swarm activity

File Description: print

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-369028
https://doi.org/10.1007/s00024-025-03766-3

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

A multimodal approach to depression diagnosis: insights from machine learning algorithm development in primary care.

Authors: Eder J Dong MS Wöhler M et al.

Corporate Authors: Eder J Dong MS Wöhler M et al.

Source: European archives of psychiatry and clinical neuroscience [Eur Arch Psychiatry Clin Neurosci] 2026 Mar; Vol. 276 (2), pp. 407-420. Date of Electronic Publication: 2025 Mar 10.

Publication Type: Journal Article

Journal Info: Publisher: Springer International Country of Publication: Germany NLM ID: 9103030 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1433-8491 (Electronic) Linking ISSN: 09401334 NLM ISO Abbreviation: Eur Arch Psychiatry Clin Neurosci Subsets: MEDLINE

MeSH Terms: Depression*/diagnosis , Depressive Disorder*/diagnosis , Machine Learning* , Primary Health Care* , Algorithms*, Humans ; Female ; Male ; Middle Aged ; Adult ; Aged

Application of machine learning algorithms and establishment of a web calculator in predicting distant metastasis of T2-T4 gastric cancer.

Authors: Wang H Zhang H Ma X et al.

Source: European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology [Eur J Surg Oncol] 2026 Jan; Vol. 52 (1), pp. 111170. Date of Electronic Publication: 2025 Nov 05.

Publication Type: Journal Article

Journal Info: Publisher: Elsevier Country of Publication: England NLM ID: 8504356 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1532-2157 (Electronic) Linking ISSN: 07487983 NLM ISO Abbreviation: Eur J Surg Oncol Subsets: MEDLINE

MeSH Terms: Stomach Neoplasms*/pathology , Machine Learning* , Algorithms*, Humans ; Male ; Female ; Middle Aged ; Aged ; Neoplasm Staging ; SEER Program ; ROC Curve ; Internet ; China ; Risk Factors ; Risk Assessment ; Logistic Models ; Adult ; Neoplasm Metastasis

Developing and Validating a Machine Learning Algorithm to Predict the Risk of Incident Opioid Use Disorder Among OneFlorida+ Patients: Prognostic Modeling Study.

Authors: Faysal JA Lo-Ciganic W Gellad WF et al.

Source: Journal of medical Internet research [J Med Internet Res] 2026 Mar 05; Vol. 28, pp. e79482. Date of Electronic Publication: 2026 Mar 05.

Publication Type: Journal Article; Validation Study

Journal Info: Publisher: JMIR Publications Country of Publication: Canada NLM ID: 100959882 Publication Model: Electronic Cited Medium: Internet ISSN: 1438-8871 (Electronic) Linking ISSN: 14388871 NLM ISO Abbreviation: J Med Internet Res Subsets: MEDLINE

MeSH Terms: Opioid-Related Disorders*/epidemiology , Machine Learning* , Algorithms*, United States/epidemiology ; Humans ; Female ; Adult ; Prognosis ; Male ; Middle Aged ; Electronic Health Records ; Risk Assessment ; Analgesics, Opioid

Diagnostic performance of the Myocardial-Ischaemic-Injury index machine-learning algorithm in patients with an initial indeterminate troponin.

Authors: Snavely AC Hunter CJ Jackson L et al.

Source: Open heart [Open Heart] 2026 Jan 06; Vol. 13 (1). Date of Electronic Publication: 2026 Jan 06.

Publication Type: Journal Article; Multicenter Study; Randomized Controlled Trial

Journal Info: Publisher: BMJ Publishing Group Country of Publication: England NLM ID: 101631219 Publication Model: Electronic Cited Medium: Print ISSN: 2053-3624 (Print) Linking ISSN: 20533624 NLM ISO Abbreviation: Open Heart Subsets: MEDLINE

MeSH Terms: Myocardial Infarction*/blood , Myocardial Infarction*/diagnosis , Troponin I*/blood , Algorithms* , Machine Learning*, Biomarkers/blood ; Aged ; Female ; Humans ; Male ; Middle Aged ; Predictive Value of Tests ; Retrospective Studies ; Risk Assessment ; United States

Forecasting electricity prices in Portugal: comparison between classical econometric algorithms and machine learning models

Authors: Jardim, Eduardo de Ataíde Valente

Subject Terms: Forecasting, Machine learning, Electricity prices, EPF, MIBEL, LightGBM, AutoARIMA, MSTL, Nixtla

File Description: application/pdf

Availability: http://hdl.handle.net/10773/46344