Suchergebnisse - Machine learning algorithm

Enhancing Random Forest Using Genetic Algorithm for Lifelong Machine Learning

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

Quelle: IEEE Access. 14:6310-6325

Schlagwörter: genetic algorithm, lifelong learning, Lifelong machine learning, random forest

Dateibeschreibung: print

Zugangs-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

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

Weitere Verfasser: de Paula Pires, Raul Valbuena, Ruben Sveriges lantbruksuniversitet, Originator

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

Schlagwörter: Earth Observation, Jordobservationsteknik

Zugangs-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

Autoren: Orbay, Raik Wikner, Evelina

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

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

Dateibeschreibung: electronic

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

Performance of machine learning algorithms in predicting the need for surgical fixation in pediatric craniomaxillofacial trauma

Autoren: B. Thornton K. Patel B. Ma et al.

Quelle: International Journal of Oral and Maxillofacial Surgery. 55:222-230

Schlagwörter: Male, Skull Fractures, Adolescent, Infant, Machine Learning, Fracture Fixation, Child, Preschool, Humans, Female, Maxillofacial Injuries, Triage, Child, Algorithms, Retrospective Studies

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/41111021

MRI-Based Deep Learning Algorithms vs. Radiologists for Lymph Node Metastasis in Colorectal Cancer: A Systematic Review and Meta-analysis

Autoren: Fengguo, Wang Wenjun, Deng Zhilin, Zhong

Quelle: Academic Radiology. 33:22-34

Schlagwörter: Deep Learning, Lymphatic Metastasis, Radiologists, Humans, Colorectal Neoplasms, Magnetic Resonance Imaging, Sensitivity and Specificity, Algorithms

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/41107125

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

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

Quelle: IEEE Access. 13:17325-17339

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

Dateibeschreibung: electronic

Zugangs-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

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

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

Quelle: urn:tid:204032687

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

Dateibeschreibung: application/pdf

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

Deep Learning Denoising Algorithm for Improved Assessment of Coronary Arteries in Transcatheter Aortic Valve Implantation CT Imaging

Autoren: Ludovica R M, Lanzafame Sebastian, Steinmetz Tommaso, D'Angelo et al.

Quelle: Academic Radiology. 33:430-441

Schlagwörter: Male, Aged, 80 and over, Aortic Valve Stenosis, Signal-To-Noise Ratio, Coronary Angiography, Coronary Vessels, Sensitivity and Specificity, Transcatheter Aortic Valve Replacement, Deep Learning, Humans, Radiographic Image Interpretation, Computer-Assisted, Female, Tomography, X-Ray Computed, Algorithms, Retrospective Studies, Aged

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/41206269

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

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

Weitere Verfasser: Aminu, Rabiu Ljungberg, David Nasirahmadi, Abozar et al.

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

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

Zugangs-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.

Autoren: Ma Q Wang R Mo M et al.

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

Publikationsart: Journal Article

Info zur Zeitschrift: 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-Schlagworte: 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

Differentiating Type 1 and Type 2 myocardial infarction using a machine learning algorithm and biomarkers

Autoren: Anna, Snavely Laurel, Jackson Christian John, Hunter et al.

Quelle: The American Journal of Emergency Medicine. 98:50-56

Schlagwörter: Male, Galectin 3, Troponin I, Myocardial Infarction, Middle Aged, Peptide Fragments, Machine Learning, Diagnosis, Differential, ROC Curve, Natriuretic Peptide, Brain, Humans, Female, Prospective Studies, Biomarkers, Algorithms, Aged

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/40834835

Screening and selection of a machine learning algorithm for development of a model to select cows for clinical examination using data from automated health monitoring technologies and other predictors of cow health

Autoren: M.M. Perez E. Cabrera C. Rial et al.

Quelle: Journal of Dairy Science. 108:13720-13738

Schlagwörter: Machine Learning, Dairying, Milk, Animals, Lactation, Cattle, Female, Algorithms, Monitoring, Physiologic

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/41043704

Prediction of Surgery Duration Based on Machine Learning Algorithms and Its Practical Application in a General Hospital in China

Autoren: Haoran Wu Yueyuan Cai Yuefang Chen et al.

Quelle: The International Journal of Health Planning and Management. 41:121-131

Schlagwörter: Machine Learning, China, Operating Rooms, Operative Time, Humans, Hospitals, General, Efficiency, Organizational, Algorithms

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/41182686

A Machine-Learning Algorithm for the Automated Perceptual Evaluation of Dysphonia Severity

Autoren: Benjamin van der Woerd Zhuohao Chen Nikolaos Flemotomos et al.

Quelle: Journal of Voice. 39:1440-1445

Schlagwörter: Male, Adult, Observer Variation, Support Vector Machine, Databases, Factual, Voice Quality, Reproducibility of Results, Signal Processing, Computer-Assisted, Acoustics, Dysphonia, Severity of Illness Index, Speech Acoustics, Machine Learning, Judgment, Speech Production Measurement, Predictive Value of Tests, Speech Perception, Humans, Female, Algorithms

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/37429808

Regression Algorithm-Based Machine Learning Model for Apartments’ Price Prediction in Nairobi City

Autoren: Odieny, Gift Merqular Mile, Anthony Wekesa, Argan

Quelle: Global Journal of Engineering and Technology Advances. 25:173-181

Schlagwörter: Apartment price prediction, Random Forest, Machine learning, Regression algorithms, Gradient Boosting

Retrospective detection of missed intra-cranial aneurysms on computed tomography angiography using a commercial deep learning algorithm

Autoren: Tamer, Sobeh Shai, Shrot Mati, Bakon et al.

Quelle: Neuroradiology. 67:3533-3541

Schlagwörter: Male, Adult, Missed Diagnosis, Computed Tomography Angiography, Intracranial Aneurysm, Middle Aged, Sensitivity and Specificity, Cerebral Angiography, Deep Learning, Humans, Radiographic Image Interpretation, Computer-Assisted, Female, Algorithms, Retrospective Studies, Aged

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/41091156

Deep Learning Algorithms Enabled Visual Detection of Anthrax Biomarkers by Mn 3 O 4 Nanozyme-Based Colorimetric Sensor Array

Autoren: Ziqian Gao Mengxuan Liu Lei Meng et al.

Quelle: Analytical Chemistry. 98:192-203

Schlagwörter: Anthrax, Deep Learning, Manganese Compounds, Limit of Detection, Benzidines, Animals, Colorimetry, Oxides, Cattle, Biomarkers, Algorithms, Nanostructures

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/41406958

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

Autoren: Changhong Pan Lu Qi Lili Zhao et al.

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

Schlagwörter: 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

Zugangs-URL: https://doaj.org/article/094f4d3829df4bb496d23b86d20d4fbe

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

Autoren: Song X Shi J Zhu C et al.

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

Publikationsart: Journal Article

Info zur Zeitschrift: 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-Schlagworte: 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

Deep learning algorithms for timely diagnosis of retinopathy of prematurity requiring treatment

Autoren: Nasser Shoeibi Nafise Ameri Mohammad Reza Hoseinkhani et al.

Quelle: Eye. 40:63-70

Schlagwörter: Male, Deep Learning, Cross-Sectional Studies, Infant, Newborn, Humans, Retinopathy of Prematurity, Female, Gestational Age, Sensitivity and Specificity, Algorithms, Infant, Premature, Telemedicine, Retrospective Studies

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/41184508