Suchergebnisse - Automated Machine Learning algorithms

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

Autoren: Kristina Ćaleta Ana Šarčević Jelena Božek et al.

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

Schlagwörter: 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

Predictive PID Control for Automated Guided Vehicles Using Genetic Algorithm and Machine Learning

Autoren: Kinza Nazir Yong-Woon Kim Yung-Cheol Byun

Quelle: IEEE Access, Vol 13, Pp 66726-66741 (2025)

Schlagwörter: Automated guided vehicle, machine learning, path tracking, genetic algorithm, Electrical engineering. Electronics. Nuclear engineering, support vector regression, TK1-9971

Zugangs-URL: https://doaj.org/article/d542c9b608e24a1f9c3b3bd7f29e5431

External validation of a deep learning algorithm for automated echocardiographic strain measurements

Autoren: Myhre, PL Hung, C-L Frost, MJ et al.

Quelle: EUROPEAN HEART JOURNAL: DIGITAL HEALTH. 5(1):60-68

Zugangs-URL: http://kipublications.ki.se/Default.aspx?queryparsed=id:238264705

Integrating Machine Learning into Automated Accounting Transaction Classification: Architecture, Algorithms, and Performance Evaluation

Autoren: Disha Patel

Quelle: The American Journal of Management and Economics Innovations. :138-144

Grading of diabetic retinopathy using a pre‐segmenting deep learning classification model: Validation of an automated algorithm: Validation of an automated algorithm

Autoren: Dyllan Edson Similié Jakob K. H. Andersen Sebastian Dinesen et al.

Quelle: Acta Ophthalmol

Schlagwörter: validation, Male, decision support, Diabetic Retinopathy, automated classification, Reproducibility of Results, Middle Aged, deep-learning, Diabetic Retinopathy/diagnosis, Severity of Illness Index, Retina, diabetic retinopathy, Deep Learning, Humans, Original Article, Female, Retina/diagnostic imaging, Algorithms, Aged, Retrospective Studies

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/39425597

CommuniSense – AI-Driven Public Speaking Evaluation for Automated Speech and Body Language Analysis using Deep Learning Algorithms

Autoren: Vignesh Thangathurai S. Sangeetha R. Kokila Devi et al.

Quelle: 2025 8th International Conference on Computing Methodologies and Communication (ICCMC). :1987-1992

Automated Machine Learning Tools for Data Science, Modeling, and Algorithm Benchmarking

Autoren: Ryan J. Urbanowicz

Quelle: Proceedings of the Genetic and Evolutionary Computation Conference Companion. :1368-1395

A fully automated quantitative analysis method based on deep learning algorithms for immunohistochemical staining expression intensities

Autoren: Yongjian Deng Bojun Cai Xiaomei Wang

Quelle: Intelligent Oncology. 1:256-264

A Novel Particle Swarm Optimization Algorithm-Based Approach for Green Automated Machine Learning

Autoren: Yumna Salaas Sultan Alnuaimi Humaid AlDhaheri et al.

Quelle: 2025 16th International Conference on Information and Communication Systems (ICICS). :1-5

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

Autoren: Horvat, Marko Božek, Jelena Šarčević, Ana et al.

Quelle: 48th ICT and Electronics Convention MIPRO 2025. :1498-1503

Schlagwörter: Deep Learning, Congenital Heart Disease, Medical Image Analysis, Fetal Ultrasound, ResNet-18

Automated Defect Detection in Solar Cell Images Using Deep Learning Algorithms

Autoren: Montaser Abdelsattar Ahmed Abdelmoety Mohamed A. Ismeil et al.

Quelle: IEEE Access, Vol 13, Pp 4136-4157 (2025)

Schlagwörter: photovoltaics, defect detection, deep learning, Computer vision, Electrical engineering. Electronics. Nuclear engineering, image classification, TK1-9971

Zugangs-URL: https://doaj.org/article/c4c91d44f8124d1a84c954e84430717f

An Automated Microstructural Analysis of SEM Images for Multiple Domain Sets Using Improved CURE (i-CURE) Algorithm in Machine Learning

Autoren: M Sornalakshmi M Sakthimohan G Elizabeth Rani et al.

Quelle: 2025 5th International Conference on Intelligent Technologies (CONIT). :1-6

Application of Deep Learning Algorithms for Automated MRI Knee Joint Image Segmentation

Autoren: Iveta Pajanova Andrej Krafcik

Quelle: 2025 15th International Conference on Measurement. :6-9

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, Vol 108, Iss 12, Pp 13720-13738 (2025)

Schlagwörter: machine learning, automation, sensors, dairy cow health, Dairy processing. Dairy products, SF250.5-275, Dairying, SF221-250

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S0022030225007957; https://doaj.org/toc/0022-0302

Zugangs-URL: https://doaj.org/article/189ea536a64a48428ebc00e6dc5030ad

Enhancing Machine Learning Interpretability through Automated Concept Induction from Incomplete Data using ECII Algorithm

Autoren: J Jobert Freedolan

Quelle: International Journal for Research in Applied Science and Engineering Technology. 13:890-895

Исследование автоматизированных систем управления с интеграцией алгоритмов машинного обучения для оптимизации процессов добычи нефти и газа в сложных геологических условиях: Research of automated control systems with integration of machine learning algorithms for optimization of oil and gas production processes in difficult geological conditions

Quelle: Environmental management issues. 4:86-97

Automated Insect Detection and Classification using Pelican Optimization Algorithm with Deep Learning on Internet of Enabled Agricultural Sector

Autoren: Karla Karla Rama Asad Nadweh

Quelle: International Journal of Advances in Applied Computational Intelligence. 7:50-62

Automated Gaze-Based Identification of Students' Strategies in Histogram Tasks through an Interpretable Mathematical Model and a Machine Learning Algorithm

Autoren: Lonneke Boels Enrique Garcia Moreno-Esteva Arthur Bakker et al.

Quelle: International Journal of Artificial Intelligence in Education. 2024 34(3):931-973.

Peer Reviewed: Y

Page Count: 43

Descriptors: Eye Movements, Learning Strategies, Problem Solving, Automation, Identification, Task Analysis, Graphs, Mathematical Models, Artificial Intelligence, Algorithms, Computer Uses in Education, Classification, Feedback (Response), Electronic Learning, Homework, MOOCs

Deep learning algorithm for fully automated measurement of sagittal balance in adult spinal deformity

Autoren: Jannis Löchel Michael Putzier Marcel Dreischarf et al.

Quelle: European Spine Journal. 33:4119-4124

Schlagwörter: Male, Adult, Algorithms [MeSH], Female [MeSH], Sagittal balance, Aged [MeSH], Lordosis/diagnostic imaging [MeSH], Adult [MeSH], Deep Learning [MeSH], Humans [MeSH], Postural Balance/physiology [MeSH], Artificial intelligence, Spinal Curvatures/surgery [MeSH], Middle Aged [MeSH], Lordosis/surgery [MeSH], Automated image analysis, Original Article, Male [MeSH], Deformity, Spinal Curvatures/diagnostic imaging [MeSH], Adult spinal, Deep learning, Spinopelvic parameters, Middle Aged, Spinal Curvatures, 03 medical and health sciences, Deep Learning, 0302 clinical medicine, Lordosis, Humans, Female, Postural Balance, Algorithms, Aged

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/38231388
https://repository.publisso.de/resource/frl:6494966

MACHINE LEARNING ALGORITHMS FOR AUTOMATED ASSESSMENT OF THE QUALITIES OF BUILDING INFORMATION MODELS

Autoren: E.V. KOPYSOVA M.P. SHLEYMOVICH

Quelle: Herald of Technological University. 28:115-118