Search Results - "Random Forest algorithm"

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

Authors: N Usha Bhanu Soubhagya Ranjan Mallick Sreenivasa Rao Chappidi et al.

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

Subject Terms: 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

Access URL: https://doaj.org/article/a654f2e07dc447d4a26de3c4211ab861

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

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

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

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

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

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

Authors: Abengowe, E.O. Ekong, U.O. Rishamma, F. et al.

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

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

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

Finansal Baloncukların Tespiti ve Tahminlenmesi

Authors: Merve Mert Saritaş Mert Ural

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

Subject Terms: 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

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Access URL: 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

Authors: Afiqah Ismail Ahmad Safuan A Rashid Ali Dehghanbanadaki et al.

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

Subject Terms: 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

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

Access URL: https://doaj.org/article/33aacea30a9146edb0d8ca07ae6f93f9

Classification of Construction Roughcasting Activities by Random Forest Algorithm

Authors: İbrahim Karataş Abdulkadir Budak

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

Subject Terms: 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

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

Access URL: https://doaj.org/article/7a2d378777544cef9cc65c3da0300720

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

Authors: Ajayakumar Appukuttan Gauri Deshpande Atul Jadhav et al.

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

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

File Description: electronic resource

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

Access URL: 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

Authors: Samuel Lalmuanawma Helen Laltlankimi Lalthamawia Bawlchhim et al.

Subject Terms: 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

Authors: Anies Anies Muhammad Ikhsan

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

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

Access URL: https://doaj.org/article/fe297786bd5e4c33bab4a8e62fad60d9

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

Authors: Bilge Doğanlı

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

Subject Terms: 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

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

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

Authors: Jia Du Pierre-Andre Jacinthe Kaishan Song et al.

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

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

Access URL: https://doaj.org/article/d536ba5cec4a46689d896430a1457802

Crime data analysis and prediction of arrest using machine learning

Authors: Sankul, Revanth Aruva, Tejaswi Reddy Kankal, Sai Varun et al.

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

Subject Terms: 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

Authors: Pablo Antúnez Christian Wehenkel Erickson Basave-Villalobos et al.

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

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

Access URL: https://doaj.org/article/704db43af7644df49b6c8b5d76a3b779

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

Authors: Bakhtyar Tartibian Leila Fasihi Rasoul Eslami et al.

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

Subject Terms: liver transplant, random forest algorithm, men, Medicine, encephalopathy

Access URL: 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

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

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

Subject Terms: 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

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

Access URL: https://doaj.org/article/d43ee6820bf34d3c87cf2ae952703758

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

Authors: Yadong JI Xuan LIU Kaipeng ZHU et al.

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

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

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

Access URL: https://doaj.org/article/bff3376d4db742a38396ed16e1628a63

Employing Machine Learning Methods to Identify Spam Emails

Authors: Puli Vinay Kumar S. Aswani S. Sudheer Reddy et al.

Subject Terms: Machine Learning, Identify Spams Email, Random Forest algorithm

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

Authors: Yu Wang Ni Wang Yanjie Zhao et al.

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

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

Access URL: https://doaj.org/article/371f2b6cfe204ca5ae5888e2a0e62237

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

Authors: Ashish Kumar Jha Umeshkumar Baburao Sherkhane Nilendu C. Purandare et al.

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

Subject Terms: 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

Access URL: https://doaj.org/article/ac9a0197e00844f9b23fcf253e56af4e

Prediction of Home Loan Approval with Machine Learning

Authors: Gamze Güder Utku Köse

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

Subject Terms: 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)

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