Search Results - CART and Random tree Algorithm*

Final weight prediction from body measurements in Kıvırcık lambs using data mining algorithms.

Authors: Şengül, Ömer Çelik, Şenol

Source: Archives Animal Breeding / Archiv Tierzucht. 2025, Vol. 68 Issue 2, p325-337. 13p.

Subjects: Standard deviations, Regression trees, Random forest algorithms, Data mining, Lambs

Visual fault detection in photovoltaic modules using decision tree algorithms with deep learning features.

Authors: Sridharan, Naveen Venkatesh Sugumaran, Vaithiyanathan

Source: Energy Sources Part A: Recovery, Utilization & Environmental Effects; Dec2025, Vol. 47 Issue 2, p1-17, 17p

Subject Terms: PHOTOVOLTAIC power generation, DECISION trees, DEEP learning, DRONE aircraft equipment & supplies, CLASSIFICATION, RANDOM forest algorithms, IMAGE recognition (Computer vision), INSPECTION & review

Spatial performance analysis in basketball with CART, random forest and extremely randomized trees.

Authors: Zuccolotto, Paola Sandri, Marco Manisera, Marica

Source: Annals of Operations Research. Jun2023, Vol. 325 Issue 1, p495-519. 25p.

Subject Terms: *RANDOM forest algorithms, *MACHINE learning, *BASKETBALL, *BASKETBALL courts, *BASKETBALL coaching, *TREES, *TREE farms

Company/Entity: NATIONAL Basketball Association 075255729

Comparison of Tree‐Based Machine Learning Algorithms for Classification of Livestock Breeds Based On Post‐Thaw Spermatological Parameters.

Authors: Özen, Doğukan Özen, Hülya Gül, Elif Bersu et al.

Source: Veterinary Medicine & Science. Sep2025, Vol. 11 Issue 5, p1-10. 10p.

Subjects: Livestock breeds, Machine learning, Semen analysis, CART algorithms, Classification, Cattle breeds

Predicting Weaning Weight of Romanov Lambs From Biometric Measurements Before Weaning Age Using Machine Learning Algorithms.

Authors: Eroğlu, Mehmet Turgut, Ali Osman Küçük, Mürsel et al.

Source: Veterinary Medicine & Science. Jul2025, Vol. 11 Issue 4, p1-8. 8p.

Subjects: Machine learning, Animal breeding, Animal health, Artificial selection of animals, Random forest algorithms

مقایسه و ارزیابی الگوریتم‌های مختلف یادگیری ماشین در طبقه‌بندی نقشه کاربری / پوشش اراضی با استفاده از تصاویر ماهواره‌ای ( مطالعه موردی: جنوب دریاچه ارومیه). (Persian)

Alternate Title: Comparison and Evaluation of Different Machine Learning Algorithms in Land Use/Cover Classification Using Satellite Data (Case Study: South of Lake Urmia). (English)

Authors: ناصر احمدی ثانی سهراب مرادی

Source: Remote Sensing & GIS Applications in Environmental Sciences; 2025, Vol. 5 Issue 16, Preceding p1-18, 21p

Subject Terms: RANDOM forest algorithms, LAND use mapping, SUPPORT vector machines, SALT lakes, SUSTAINABILITY, REGRESSION trees, GEOSPATIAL data, MACHINE learning

Geographic Terms: LAKE Urmia (Iran)

Information technology graduates employability prediction model in a low-income country using tree-based machine learning classifiers.

Authors: Dake, Delali Kwasi

Source: Discover Global Society; 11/26/2025, Vol. 3 Issue 1, p1-24, 24p

Subject Terms: MACHINE learning, RANDOM forest algorithms, EMPLOYABILITY, LOW-income countries, UNEMPLOYED youth, SUB-Saharan Africans, COMPUTER science students, DECISION trees

Geographic Terms: AFRICA

Detection of false position attacks in VANETs through bagging ensemble learning.

Authors: Mekonen, Bekan Kitaw Bane, Lemi Fite, Negasa Berhanu

Source: PLoS ONE; 8/1/2025, Vol. 20 Issue 8, p1-21, 21p

Subject Terms: VEHICULAR ad hoc networks, ENSEMBLE learning, RANDOM forest algorithms, K-nearest neighbor classification, DECISION trees, SECURITY management

A proposed classification method approach for binary variable data using Boolean algebra and an application to digital advertising.

Authors: EKELİK, Haydar TEKIN, Mustafa

Source: Communications Series A1 Mathematics & Statistics; 2025, Vol. 74 Issue 2, p294-317, 24p

Subject Terms: CART algorithms, MULTIPLE criteria decision making, CLASSIFICATION algorithms, BOOLEAN algebra, TOPSIS method, DECISION trees

Predicting body weight in Ross 308 broiler chickens using a data mining algorithm approach.

Authors: Bila, L.¹ bilalubabalo94@gmail.com

Source: South African Journal of Animal Science. 2025, Vol. 55 Issue 6, p291-303. 13p.

Subjects: Broiler chickens, Data mining, Prediction models, Poultry as food, Predictive validity, Decision trees, Weighing instruments, Morphology

Using biometric analysis to estimate body weight in Creole goats.

Authors: Trillo-Zárate, Fritz Paredes-Chocce, Miguel Enrique Salinas, Jorge et al.

Source: Open Veterinary Journal. 2025, Vol. 15 Issue 9, p4496-4504. 9p.

Subjects: Body weight, Prediction models, Biometry, Livestock farms, Data mining, Goats, Support vector machines, Random forest algorithms

Geographic Terms: Peru (Viceroyalty)

Investigating the contributors to hit-and-run crashes using gradient boosting decision trees.

Authors: Han, Baorui Huang, Haibo Li, Gen et al.

Source: PLoS ONE. 1/3/2025, Vol. 20 Issue 1, p1-19. 19p.

Subject Terms: *DECISION trees, *RANDOM forest algorithms, *LOGISTIC regression analysis, *REGRESSION trees, *PREDICTION models

Estimation of Marketing Live Weight of Lambs by Different Machine Learning Algorithms.

Authors: Karakus, F.¹ fkarakus@yyu.edu.tr

Source: Indian Journal of Animal Research. Jan2025, Vol. 59 Issue 1, p156-162. 7p.

Subjects: Artificial neural networks, Machine learning, Standard deviations, Radial basis functions, Support vector machines

Synergistically integrated Gaussian artificial potential field and pruned rapidly exploring random tree for real-time path planning of autonomous vehicles in weakly regulated zones.

Authors: Wu, Xiaolan Wang, Xinyang Bai, Zhifeng et al.

Source: Journal of the Brazilian Society of Mechanical Sciences & Engineering; Dec2025, Vol. 47 Issue 12, p1-18, 18p

Comparison of Selected Ensemble Supervised Learning Algorithms Used for Meteorological Normalisation of Particulate Matter (PM 10).

Authors: Gora, Karolina Rzeszutek, Mateusz

Source: Sustainability (2071-1050); Jun2025, Vol. 17 Issue 12, p5274, 16p

Application of machine learning and deep learning techniques in modeling the associations between air pollution and meteorological parameters in urban areas of tehran metropolis.

Authors: Kahrari, Parisa Khaledi, Shahriar Keikhosravi, Ghasem et al.

Source: Environmental Monitoring & Assessment; Oct2024, Vol. 196 Issue 10, p1-27, 27p

Subject Terms: AIR pollutants, RANDOM forest algorithms, AIR pollution, WEATHER, REGRESSION trees, DEEP learning

Improving Learning Style Prediction using Tree-based Algorithm with Hyperparameter Optimization.

Authors: Shamsudin, Haziqah Yusof, Umi Kalsom Sabudin, Maziani

Source: International Journal of Advances in Soft Computing & Its Applications; Apr2020, Vol. 12 Issue 1, p65-80, 16p

Subject Terms: COGNITIVE styles, FORECASTING, PROCESS optimization, INFORMATION commons, DECISION trees, RANDOM forest algorithms

A multi-objective stacked regression method for distance based colour measuring device.

Authors: Brar, Amrinder Singh Singh, Kawaljeet

Source: Scientific Reports; 3/6/2024, Vol. 14 Issue 1, p1-22, 22p

Subject Terms: COLOR, SUPPORT vector machines, REGRESSION trees, RANDOM forest algorithms, NOISE measurement

ESTIMATING THE POWER DRAW OF GRIZZLY FEEDERS USED IN CRUSHING-SCREENING PLANTS THROUGH SOFT COMPUTING ALGORITHMS.

Authors: KÖKEN, Ekin

Source: Konya Journal of Engineering Sciences / Konya Mühendislik Bilimleri Dergisi; mar2024, Vol. 12 Issue 1, p100-108, 9p

Subject Terms: COMMUTER aircraft, RANDOM forest algorithms, REGRESSION analysis, SOFT computing, P-value (Statistics)

Comparison of machine learning algorithms and multiple linear regression for live weight estimation of Akkaraman lambs.

Authors: Kozaklı, Özge Ceyhan, Ayhan Noyan, Mevlüt

Source: Tropical Animal Health & Production. Sep2024, Vol. 56 Issue 7, p1-10. 10p.