Výsledky vyhľadávania - "Random forest algorithm"

RF-SFAD: A RANDOM FOREST MODEL FOR SELECTIVE FORWARDING ATTACK DETECTION IN MOBILE WIRELESS SENSOR NETWORKS

Autori: N Usha Bhanu Soubhagya Ranjan Mallick Sreenivasa Rao Chappidi a ďalší

Zdroj: International Journal of Advances in Signal and Image Sciences, Vol 11, Iss 1, Pp 104-116 (2025)

Predmety: Computer applications to medicine. Medical informatics, R858-859.7, mobile wireless sensor networks, random forest algorithm, selective forwarding attack detection, clustering, feature selection, TP248.13-248.65, Biotechnology

Prístupová URL adresa: https://doaj.org/article/a654f2e07dc447d4a26de3c4211ab861

Application of random forest and hierarchical clustering models for crop and fertilizer recommendation to farmers

Autori: Nandom, S.S. Abe, G.T. Gambo, I.P.

Zdroj: Nigerian Journal of Technology; Vol. 44 No. 1 (2025); 114-122

Predmety: Data Analytics, Hierarchical Clustering, Random Forest Algorithm, Fertilizer Recommendation, Crop Recommendation

Popis súboru: application/pdf

Prístupová URL adresa: https://www.ajol.info/index.php/njt/article/view/295672

An intelligent framework for securing patients’ electronic health records using anomaly based detection technique

Autori: Abengowe, E.O. Ekong, U.O. Rishamma, F. a ďalší

Zdroj: World Journal of Applied Science & Technology; Vol. 16 No. 1 (2024); 123-133

Predmety: Electronic Health Records, Machine Learning, Random Forest Algorithm,Framework, and Base Classifiers

Popis súboru: application/pdf

Prístupová URL adresa: https://www.ajol.info/index.php/wojast/article/view/295266

Finansal Baloncukların Tespiti ve Tahminlenmesi

Autori: Merve Mert Saritaş Mert Ural

Zdroj: İzmir İktisat Dergisi, Vol 40, Iss 1, Pp 272-293 (2025)
Volume: 40, Issue: 1272-293
İzmir Journal of Economics
İzmir İktisat Dergisi

Predmety: early warning, gsadf, financial bubbles, GSADF, Financial Bubbles, Machine Learning Algorithms, Random Forest Algorithm, Early Warning, Time-Series Analysis, rastgele orman ağaçları, Applied Macroeconometrics, erken uyarı, Economics as a science, finansal baloncuklar, machine learning algorithms, random forest algorithm, Uygulamalı Makro Ekonometri, Zaman Serileri Analizi, Finansal Baloncuklar, Makine Öğrenimi Algoritmaları, Rastgele Orman Ağaçları, Erken Uyarı, makine öğrenimi algoritmaları, HB71-74

Popis súboru: application/pdf

Prístupová URL adresa: https://doaj.org/article/7bcfa82ede834527aecff46ebd716f56
https://dergipark.org.tr/tr/pub/ije/issue/90515/1554683

Enhancing rock slope stability prediction using random forest machine learning: A case study

Autori: Afiqah Ismail Ahmad Safuan A Rashid Ali Dehghanbanadaki a ďalší

Zdroj: China Geology, Vol 8, Iss 4, Pp 691-706 (2025)

Predmety: Slope stability prediction, Random Forest Algorithm, Remote sensing in Geology, Factor of Safety (FOS), Geometrical parameters, Rock quality designation (RQD), Engineering (General). Civil engineering (General), TA1-2040, Geology, QE1-996.5

Popis súboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2096519225001065; https://doaj.org/toc/2589-9430

Prístupová URL adresa: https://doaj.org/article/33aacea30a9146edb0d8ca07ae6f93f9

Classification of Construction Roughcasting Activities by Random Forest Algorithm

Autori: İbrahim Karataş Abdulkadir Budak

Zdroj: Düzce Üniversitesi Bilim ve Teknoloji Dergisi, Vol 13, Iss 4, Pp 1494-1504 (2025)

Predmety: i̇nşaat yönetimi, sıva aktivitesi, aktivite tanıma, rastgele orman algoritması, i̇nşaat işçisi, construction management, roughcasting activity, activity recognition, random forest algorithm, construction labor, Technology, Engineering (General). Civil engineering (General), TA1-2040, Science, Science (General), Q1-390

Popis súboru: electronic resource

Relation: https://dergipark.org.tr/tr/download/article-file/4558119; https://doaj.org/toc/2148-2446

Prístupová URL adresa: https://doaj.org/article/7a2d378777544cef9cc65c3da0300720

Geospatial modeling of landslide susceptibility in lateritic terrain: insights from machine learning techniques—random forest and DBSCAN

Autori: Ajayakumar Appukuttan Gauri Deshpande Atul Jadhav a ďalší

Zdroj: Discover Applied Sciences, Vol 7, Iss 10, Pp 1-22 (2025)

Predmety: Landslide susceptibility, Random forest algorithm, DBSCAN, Disaster risk reduction, Science (General), Q1-390

Popis súboru: electronic resource

Relation: https://doaj.org/toc/3004-9261

Prístupová URL adresa: https://doaj.org/article/c03a4c510b814255beed0e8497225d95

Exploring the Digital Divide: A Statistics and Machine Learning Analysis of Internet Penetration and IT Literacy in the Indo-Myanmar Region

Autori: Samuel Lalmuanawma Helen Laltlankimi Lalthamawia Bawlchhim a ďalší

Predmety: Indo-Myanmar, Internet Penetration, Internet Literacy, Chi Square, Logistic Regression, Random Forest algorithm, K-means clustering

Sentiment Analysis of 'Free Lunch for Children' Policy on Social Media X Using Random Forest Algorithm

Autori: Anies Anies Muhammad Ikhsan

Zdroj: Journal of Information Systems and Informatics, Vol 7, Iss 1, Pp 649-662 (2025)

Predmety: sentiment analysis, random forest algorithm, social policy, Electronic computers. Computer science, QA1-939, QA75.5-76.95, Mathematics

Prístupová URL adresa: https://doaj.org/article/fe297786bd5e4c33bab4a8e62fad60d9

Müşteri segmentasyonu ve davranış analizi: Random forest algoritması kullanılarak gelir ve harcama davranışlarının incelenmesi

Autori: Bilge Doğanlı

Zdroj: Volume: 8, Issue: 152-66
Business Economics and Management Research Journal

Predmety: İşletme, Customer Segmentation, Random Forest Algorithm, Feature Importance Analysis, Income and Spending Behaviors, Correlation Analysis, Müşteri Segmentasyonu, Random Forest Algoritması, Özellik Önemi Analizi, Gelir ve Harcama Davranışları, Business Administration

Popis súboru: application/pdf

Prístupová URL adresa: https://dergipark.org.tr/tr/pub/bemarej/issue/89285/1646966

Maize crop residue cover mapping using Sentinel-2 MSI data and random forest algorithms

Autori: Jia Du Pierre-Andre Jacinthe Kaishan Song a ďalší

Zdroj: International Soil and Water Conservation Research, Vol 13, Iss 1, Pp 189-202 (2025)

Predmety: Random forest algorithm, Photographic method, Sentinel-2 remotely sensed data, TA1-2040, Engineering (General). Civil engineering (General), Line-transect method, Maize residue cover

Prístupová URL adresa: https://doaj.org/article/d536ba5cec4a46689d896430a1457802

Crime data analysis and prediction of arrest using machine learning

Autori: Sankul, Revanth Aruva, Tejaswi Reddy Kankal, Sai Varun a ďalší

Zdroj: World Journal of Advanced Research and Reviews. 25:498-506

Predmety: Machine Learning, Predicting the arrest using Random forest Algorithm, Crime data Analysis, Statistical methods, User friendly stream lit interface, Crime Reports

Predictive Modeling of Volume and Biomass in Pinus pseudostrobus Using Machine Learning and Allometric Approaches

Autori: Pablo Antúnez Christian Wehenkel Erickson Basave-Villalobos a ďalší

Zdroj: Forest Science and Technology, Vol 21, Iss 1, Pp 110-122 (2025)

Predmety: Forest management, machine learning algorithms in forestry, predicting forest biomass, allometric modeling, Random Forest algorithm, Forestry, SD1-669.5, quantile regression in forest management

Prístupová URL adresa: https://doaj.org/article/704db43af7644df49b6c8b5d76a3b779

Comparing and Predicting Hepatic Encephalopathy Complications Using Random Forest Algorithm in Active Men

Autori: Bakhtyar Tartibian Leila Fasihi Rasoul Eslami a ďalší

Zdroj: Physical Treatments, Vol 15, Iss 1, Pp 81-90 (2025)

Predmety: liver transplant, random forest algorithm, men, Medicine, encephalopathy

Prístupová URL adresa: https://doaj.org/article/9e4d477090a24e5380b7ddff33954255

Development and validation of a cultivability evaluation model for cultivated land reserve resources: Coupling random forest with the limiting factor method

Autori: ZHANG Hui, ZHOU Songshan, LEI Hengcong, LI Mangen, CHEN Niannan, WANG Yuxin

Zdroj: Ziyuan Kexue, Vol 47, Iss 9, Pp 1915-1928 (2025)

Predmety: cultivated land reserve resources, cultivability evaluation, random forest algorithm, limiting factor method, feature importance analysis, anyuan county, jiangxi province, Environmental sciences, GE1-350, Biology (General), QH301-705.5

Popis súboru: electronic resource

Relation: https://www.resci.cn/fileup/1007-7588/PDF/1760335179317-533276804.pdf; https://doaj.org/toc/1007-7588

Prístupová URL adresa: https://doaj.org/article/d43ee6820bf34d3c87cf2ae952703758

Comparative study on RF-BP model prediction of mining water-conducting fracture zone height in Binchang Coal Mine

Autori: Yadong JI Xuan LIU Kaipeng ZHU a ďalší

Zdroj: Meikuang Anquan, Vol 56, Iss 7, Pp 175-184 (2025)

Predmety: water-conducting fracture zone, intelligent coal mine, random forest algorithm, bp neural network, mine water gushing, Mining engineering. Metallurgy, TN1-997

Popis súboru: electronic resource

Relation: https://doaj.org/toc/1003-496X

Prístupová URL adresa: https://doaj.org/article/bff3376d4db742a38396ed16e1628a63

Employing Machine Learning Methods to Identify Spam Emails

Autori: Puli Vinay Kumar S. Aswani S. Sudheer Reddy a ďalší

Predmety: Machine Learning, Identify Spams Email, Random Forest algorithm

Construction of a predictive model for cognitive impairment among older adults in Northwest China

Autori: Yu Wang Ni Wang Yanjie Zhao a ďalší

Zdroj: Frontiers in Aging Neuroscience, Vol 17 (2025)

Predmety: predictive model, random forest algorithm, older adults in Northwest China, Neurosciences. Biological psychiatry. Neuropsychiatry, cognitive impairment, multivariate logistic regression model, RC321-571

Prístupová URL adresa: https://doaj.org/article/371f2b6cfe204ca5ae5888e2a0e62237

Positron emission tomography imaging biomarker and artificial intelligence for the characterization of solitary pulmonary nodule

Autori: Ashish Kumar Jha Umeshkumar Baburao Sherkhane Nilendu C. Purandare a ďalší

Zdroj: Front Nucl Med
Frontiers in Nuclear Medicine, Vol 5 (2025)

Predmety: CT SCANS, R895-920, ASSOCIATION, GUIDELINES, DIAGNOSIS, SPN, cross-validation, VALIDATION, PROBABILITY, lung cancer, Medical physics. Medical radiology. Nuclear medicine, AIDED DETECTION CAD, LUNG-CANCER, pet scan, radiomics, READING TIME, random forest algorithm, Nuclear Medicine, bootstrap, RADIOMICS, SMOTE

Prístupová URL adresa: https://doaj.org/article/ac9a0197e00844f9b23fcf253e56af4e

Prediction of Home Loan Approval with Machine Learning

Autori: Gamze Güder Utku Köse

Zdroj: Volume: 4, Issue: 287-95
Advances in Artificial Intelligence Research

Predmety: Makine Öğrenme (Diğer), 05 social sciences, 0202 electrical engineering, electronic engineering, information engineering, 0501 psychology and cognitive sciences, 02 engineering and technology, KNN algorithm, Random forest algorithm, Support vector machines, Logistic regression, Machine Learning (Other)

Popis súboru: application/pdf

Prístupová URL adresa: https://dergipark.org.tr/tr/pub/aair/issue/89140/1585994