Výsledky vyhledávání - "Decision Tree classifier"

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

Perbandingan Performa Algoritma Gaussian Naive Bayes dan Decision Tree Classifier dalam Klasifikasi Prompt AI-Generated Image

Autoři: Riyadi, Agung Paramitha, Putri

Zdroj: CESS (Journal of Computer Engineering, System and Science); Vol. 10 No. 2 (2025): Juli 2025; 389-398

Témata: Machine Learning, text classification, kecerdasan buatan, Decision Tree Classifier, Naive Bayes Classifier

Popis souboru: application/pdf

Přístupová URL adresa: https://jurnal.unimed.ac.id/2012/index.php/cess/article/view/66521

Decoding An Automobile’s Technical Specification From Its Identification Number

Autoři: Mačiūnas, Mantas Skorniakov, Viktor

Zdroj: Lietuvos magistrantų informatikos ir IT tyrimai: konferencijos darbai, 2025 m. gegužės 13 d.., Vilnius : Vilniaus universiteto leidykla, 2025, p. 121-129.

Témata: vehicle identification number, multi-label classification, random forest classifier, decision tree classifier, extra trees classifier, k-nearest neighbours classifier

Popis souboru: application/pdf

Přístupová URL adresa: https://repository.vu.lt/VU:ELABAPDB233046205&prefLang=en_US

Prediction of Hypertension Patients with Machine Learning Algorithm

Autoři: Eko Priyono

Zdroj: Iraqi Journal for Computers and Informatics, Vol 51, Iss 1, Pp 75-82 (2025)

Témata: Technology, hipertensi, deteksi dini, machine learning, random forest ensemble, decision tree classifier

Přístupová URL adresa: https://doaj.org/article/53b484e6ceca4fc1b55d6056af86aea6

An evaluation study on immigrants′ transport system adaptation behaviour: Turkey example

Autoři: Metin Mutlu Aydin Eren Dağli Mehmet Sıddık Çadirci

Zdroj: Transport, Vol 40, Iss 1 (2025)

Témata: transportation, Transportation engineering, TA1001-1280, immigrants, decision tree classifier, survey, adaptation

Přístupová URL adresa: https://doaj.org/article/0d79998f44bf408290d87431caf3515d

Classification and identification of pest, diseases and nutrient deficiency in paddy using layer based EMD phase features with decision tree

Autoři: A. Pushpa Athisaya Sakila Rani N. Suresh Singh

Zdroj: Information Processing in Agriculture, Vol 12, Iss 2, Pp 232-244 (2025)

Témata: Decision tree classifier, Gray level co-occurrence matrix, Agriculture (General), Principal component analysis, Entropy filtering, Information technology, Empirical mode decomposition, T58.5-58.64, S1-972

Přístupová URL adresa: https://doaj.org/article/edb6d0611d604a5ab2b92d15e7df2429

Synthetic Data Generation with Modified Artificial Bee Colony Optimization Algorithm and Statistical Modeling

Autoři: Fatma Akalın

Zdroj: Volume: 14, Issue: 41408-1431
Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi
Journal of the Institute of Science and Technology

Témata: Yazılım Mühendisliği (Diğer), Software Engineering (Other), Sentetik veri üretimiDeğiştirilmiş ABC optimizasyon algoritması, R-kare katsayısı, Polinom regresyonu, Karar ağacı sınıflandırıcısı, Synthetic data generation, Modified ABC optimization algorithm, R-squared coefficient, Polynomial regression, Decision tree classifier

Popis souboru: application/pdf

Přístupová URL adresa: https://dergipark.org.tr/tr/pub/jist/issue/88178/1495455

Decision tree-based approach to robust Parkinson's disease subtyping using clinical data of the Michael J. Fox Foundation LRRK2 cross-sectional study

Autoři: Soumyadeep Roy Stefanie Krähe Michael Marschollek a další

Zdroj: Frontiers in Artificial Intelligence, Vol 8 (2025)

Témata: Parkinson's disease, data-driven subtyping, artificial intelligence, age of onset, decision tree classifier, clinical characterization, Electronic computers. Computer science, QA75.5-76.95

Popis souboru: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/frai.2025.1668206/full; https://doaj.org/toc/2624-8212

Přístupová URL adresa: https://doaj.org/article/076c32ebf348452180c571726b321cae

Data-driven diabetes mellitus prediction and management: a comparative evaluation of decision tree classifier and artificial neural network models along with statistical analysis

Autoři: Idris Zubairu Sadiq Babangida Sanusi Katsayal Bashiru Ibrahim a další

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-16 (2025)

Témata: Diabetes mellitus, Decision tree classifier, Artificial neural network, Machine learning, Modelling, Prediction, Medicine, Science

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2045-2322

Přístupová URL adresa: https://doaj.org/article/d91f5a71f4294eb5b7336774cea4e295

ПЕРЕДБАЧЕННЯ ФОРМИ БІОГЕННИХ МАГНІТНИХ НАНОЧАСТИНОК У МАГНІТОТАКСИСНИХ БАКТЕРІЯХ ЗА ДОПОМОГОЮ ДЕРЕВ РІШЕНЬ ТА ВИПАДКОВИХ ЛІСІВ

Zdroj: Біотехнологія XXI століття; 2025: Матеріали ХІХ Міжнародної науково-практичної конференції «Біотехнологія XXI століття»; 299-302

Témata: decision tree classifier, biogenic magnetic nanoparticles, random forest classifier, magnetogenetics

Popis souboru: application/pdf

Přístupová URL adresa: http://conf.biotech.kpi.ua/article/view/329918

A Comparative Study of Supervised Machine Learning Models: Decision Tree Classifier and Linear Regression on Banana Growth Prediction

Autoři: Mr. Dattatray, Sadashiv Arade

Témata: Banana Plant Growth, Decision Tree Classifier, Linear Regression, Comparative Analysis, Predictive Modeling

Data to Diagnosis Machine Learning Models for Accurate Anemia Classification

Autoři: Ayush Kumar*, A. Srinath, G. Bharath, A. Sharath Chandra, Dr. R. Shoba Rani, Dr. M. Manikandan, Dr. S. Mohandoss

Témata: Anemia, machine learning, Complete Blood Count (CBC), XGBoost Classifier, Random Forest Classifier, Decision Tree Classifier, improve diagnostic efficiency

CLASSIFICATION OF KAZAKH MUSIC GENRES USING MACHINE LEARNING TECHNIQUES

Autoři: Aigul Mimenbayeva Gulmira Bekmagambetova Gulzhan Muratova a další

Zdroj: Scientific Journal of Astana IT University, Pp 83-94 (2024)

Témata: music genre, decision tree classifier, machine learning algorithms, logistic regression, 0202 electrical engineering, electronic engineering, information engineering, Information technology, 02 engineering and technology, T58.5-58.64, cross-validation

Přístupová URL adresa: https://doaj.org/article/e3fb45a3964342cd807d20bcbffa5c97

Online Fraud Detection: A Decision Tree Approach

Autoři: S. Shaankari M. Aishwarya B. Vaishnavi a další

Témata: Machine learning, Decision tree classifier, Anomaly detection, Online payment fraud detection

Leveraging Machine Learning for Fraudulent Social Media Profile Detection

Autoři: Ramdas Soorya Agnes Neenu N. T.

Zdroj: Cybernetics and Information Technologies, Vol 24, Iss 1, Pp 118-136 (2024)

Témata: svc classifier, decision tree classifier, dummy classifier, 0202 electrical engineering, electronic engineering, information engineering, random forest classifier, Q300-390, 02 engineering and technology, Cybernetics, mlp (multilayer perceptron) classifier

Přístupová URL adresa: https://doaj.org/article/75a420340b8b4cd3a04775d514e912e5

AI-GeoInfo Crop Recommendation Framework Using Decision Tree Classifier and Flask-based GeoAPIs

Autoři: AbouGrad, H. Yegamati, M.

Témata: Decision Tree Classifier, Python GeoPy Module, Crop Recommendation Machine Learning Model, Soil Composition, Flask-based GeoAPI Web Application

Relation: https://repository.uel.ac.uk/item/8z2x1

Dostupnost: https://repository.uel.ac.uk/download/2c48957b3455dbc84a9300bde85a2e4a8ff4571f50d35a64bfbbc5c971e85b06/389139/AISRS2025-AI-GeoInfo%20Crop%20Recommendation%20Framework-HA%26MY-2Dec2024.pdf

Decision tree-based machine learning algorithm for prediction of acute radiation esophagitis

Autoři: Mostafa Alizade-Harakiyan Amin Khodaei Ali Yousefi a další

Zdroj: Biochemistry and Biophysics Reports, Vol 42, Iss , Pp 101991- (2025)

Témata: Radiation-induced esophagitis, Decision tree classifier, Predictive modeling, Machine learning, Radiotherapy, Treatment planning, Biology (General), QH301-705.5, Biochemistry, QD415-436

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2405580825000780; https://doaj.org/toc/2405-5808

Přístupová URL adresa: https://doaj.org/article/8b7b4782508b46e5adb7386f852ed708

Comparison of Machine Learning and Deep Learning Algorithms for Classification of Breast Cancer

Autoři: Ayuningtyas, Puji Rahmawati, Rahmawati Miftahusalam, Akhmad

Zdroj: Journal of Computer Engineering, Electronics and Information Technology; Vol 2, No 2 (2023): COELITE: Volume 2, Issue 2, 2023; 89-98

Témata: Decision Tree Classifier, Deep Neural Network, Genetic Algorithm, KNN, Logistic Regression, 3. Good health

Popis souboru: application/pdf

Přístupová URL adresa: https://ejournal.upi.edu/index.php/COELITE/article/view/59717

Prediction of induction motor faults using machine learning

Autoři: Ademola Abdulkareem Tochukwu Anyim Olawale Popoola a další

Zdroj: Heliyon, Vol 11, Iss 1, Pp e41493- (2025)

Témata: Artificial neural network classifier, Decision tree classifier, Random Forest classifier, k-NN classifier, Induction motors, Predictive maintenance, Science (General), Q1-390, Social sciences (General), H1-99

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S240584402417524X; https://doaj.org/toc/2405-8440

Přístupová URL adresa: https://doaj.org/article/56db0063a25e44f1a1c2b2635c340fdf

Deep Neuro-Fuzzy Systems for Diabetes Prediction using Siddha Healthcare Practices with Algorithm Comparison

Autoři: S Jeevarathinam P. L. Balasubramanian A. B. Karthick Anand Babu

Témata: Diabetes Prediction, DNFS, Healthcare, Siddha Practices, SVM, Random Forest, Manikkadainool, Decision Tree Classifier, Artificial Neural Network, Deep Learning

Relation: https://zenodo.org/records/16942402; oai:zenodo.org:16942402; https://doi.org/10.17485/IJST/v18i33.259

Dostupnost: https://doi.org/10.17485/IJST/v18i33.259
https://zenodo.org/records/16942402
https://indjst.org/articles/deep-neuro-fuzzy-systems-for-diabetes-prediction-using-siddha-healthcare-practices-with-algorithm-comparison