Search Results - machine learning decision tree algorithm

A Novel Scheme for Mapping of MVT-Type Pb–Zn Prospectivity: LightGBM, a Highly Efficient Gradient Boosting Decision Tree Machine Learning Algorithm by Hajihosseinlou, Mahsa, Maghsoudi, Abbas, Ghezelbash, Reza

“…The gradient boosting decision tree is a well-known machine learning algorithm. Despite numerous advancements in its application, its efficiency still needs to be improved for large feature dimensions and data capacities…”
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Sustainable decision-making for contaminated site risk management: A decision tree model using machine learning algorithms by Li, Xiaonuo, Yi, Shiyi, Cundy, Andrew B., Chen, Weiping

“… decision sensitivity parameters are analyzed in this study and their influence on the management patterns of contaminated sites identified with three decision tree (DT…”
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A Robust Estimation of Blasting-Induced Flyrock Using Machine Learning Decision Tree Algorithms: Random Forest, Gradient Boosting Machine, and XGBoost by Mohammed, Bouhannache, Hamza, Cheniti

“… This paper presents three machine learning decision tree algorithms that were implemented to predict blasting-induced flyrock…”
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Machine learning decision tree algorithm role for predicting mortality in critically ill adult COVID-19 patients admitted to the ICU by Elhazmi, Alyaa, Al-Omari, Awad, Sallam, Hend, Mufti, Hani N., Rabie, Ahmed A., Alshahrani, Mohammed, Mady, Ahmed, Alghamdi, Adnan, Altalaq, Ali, Azzam, Mohamed H., Sindi, Anees, Kharaba, Ayman, Al-Aseri, Zohair A., Almekhlafi, Ghaleb A., Tashkandi, Wail, Alajmi, Saud A., Faqihi, Fahad, Alharthy, Abdulrahman, Al-Tawfiq, Jaffar A., Melibari, Rami Ghazi, Al-Hazzani, Waleed, Arabi, Yaseen M.

“…) and is currently a major cause of intensive care unit (ICU) admissions globally. The role of machine learning in the ICU is evolving but currently limited to diagnostic and prognostic values. A decision tree (DT…”
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Development, Evaluation, and Multisite Deployment of a Machine Learning Decision Tree Algorithm To Optimize Urinalysis Parameters for Predicting Urine Culture Positivity by Seheult, Jansen N, Stram, Michelle N, Contis, Lydia, Pontzer, Raymond E, Hardy, Stephanie, Wertz, William, Baxter, Carla M, Ondras, Michael, Kip, Paula L, Snyder, Graham M, Pasculle, A William

“…PittUDT, a recursive partitioning decision tree algorithm for predicting urine culture (UC…”
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Throughput prediction of fifth-generation cellular system using hybrid feature selection and enhanced sequential decision tree machine learning algorithm by Sharma, Abhilasha, Pandit, Shweta, Talluri, Salman Raju

“…This paper proposes enhanced sequential decision tree (ESDT) for the prediction of fifth-generation (5G…”
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Hydrogen uptake prediction in porous carbon materials explained by decision tree machine learning Algorithms: From experimental data to interpretable predictions by Sunkara, Hemanth, Bhat A S, Shravani, R, Namitha, Acharya, Sushmitha, Shekar, Selva Kumar, Sainath, Krishnamurthy, Siddiqui, Shabnam

“… A Machine Learning (ML) approach was developed using five Decision Tree-based models on a 2,101datapoint PCM dataset to rapidly address the demands of this gap…”
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Maximum power point tracking using decision-tree machine-learning algorithm for photovoltaic systems by Mahesh, P Venkata, Meyyappan, S, Alla, RamaKoteswara Rao

“…Abstract This work presents a machine-learning (ML) algorithm for maximum power point tracking (MPPT…”
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Decision tree machine learning algorithm for pegmatites mapping using remote sensing data (Anti-Atlas, Morocco) by Maimouni, Soufiane, Morsli, Yousra, Zerhouni, Youssef, Alikouss, Saida, Baroudi, Zouhir

“…In the past few years, the use of Machine learning (ML) to classify remotely sensed data has increased, offering new opportunities for geological mapping…”
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The machine learning algorithm based on decision tree optimization for pattern recognition in track and field sports by Cui, Guomei, Wang, Chuanjun

“… The dataset covers multiple tests of multiple athletes, ensuring the diversity of samples. Secondly, an optimized machine learning algorithm based on decision tree is adopted…”
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Searches for the BSM scenarios at the LHC using decision tree-based machine learning algorithms: a comparative study and review of random forest, AdaBoost, XGBoost and LightGBM frameworks by Choudhury, Arghya, Mondal, Arpita, Sarkar, Subhadeep

“…Machine learning algorithms are now being extensively used in our daily lives, spanning across diverse industries as well as academia…”
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Decision tree-based machine learning algorithm for prediction of acute radiation esophagitis by Alizade-Harakiyan, Mostafa, Khodaei, Amin, Yousefi, Ali, Zamani, Hamed, Mesbahi, Asghar

“… This study aimed to develop and validate a decision tree-based model for predicting acute esophagitis grades in patients undergoing chemoradiotherapy…”
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Transforming Animal Tracking Frameworks Using Wireless Sensor Networks and Machine Learning Algorithm using Decision Tree Algorithm by Dr. J. Jaya Priya, Sanjitha S

“…) with a Machine Learning-based Decision Tree algorithm to enhance monitoring, behavior prediction, and anomaly detection…”
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An Ensemble Learning Methodology to a Decision Tree Algorithm for Soil Type Classification Using Machine Learning by S, Sumanth

“…In this study, we focus on the classification of soil types in a specific region, employing a stacking ensemble learning approach with the decision tree algorithm…”
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Risk of lymph node metastases in endometrioid uterine cancer patients: A decision tree algorithm using machine learning by Chan, J.K., Mysona, D.P., Klein, D.A., Chan, J.E., Kapp, D.S., Mann, A.K., Liao, C.I.

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A decision tree algorithm using machine learning to predict for 90-day postoperative mortality in stage IV ovarian cancer patients by Chan, J.K., Mysona, D.P., Klein, D.A., Chan, J.E., Kapp, D.S., Mann, A.K., Liao, C.I.

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Predicting Metabolic Syndrome With Machine Learning Models Using a Decision Tree Algorithm: Retrospective Cohort Study by Yu, Cheng-Sheng, Lin, Yu-Jiun, Lin, Chang-Hsien, Wang, Sen-Te, Lin, Shiyng-Yu, Lin, Sanders H, Wu, Jenny L, Chang, Shy-Shin

“… We aimed to evaluate the accuracy of different decision tree machine learning algorithms to predict the state of metabolic syndrome in self-paid health examination subjects who were examined with FibroScan…”
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Application of Decision-Tree-Based Machine Learning Algorithms for Prediction of Antimicrobial Resistance by Yasir, Muhammad, Karim, Asad Mustafa, Malik, Sumera Kausar, Bajaffer, Amal A., Azhar, Esam I.

“… We trained 10 machine learning (ML) classifiers on the basis of data on gene expression (GEXP) information and generated predictive models for meropenem, ciprofloxacin, and ceftazidime drugs…”
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Forward-inverse-hybrid modeling of microstrip antennas using decision tree-based machine learning algorithms for space communication by Kumar, Anjani, Khan, Taimoor, Sarkar, Debanjali

“…This article presents a machine learning (ML) framework for forward, inverse, and hybrid modeling in electromagnetic problems, focusing on single-, dual-, and four-port notched microstrip antennas used in satellite environments…”
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Comparative Assessment of Fraudulent Financial Transactions using the Machine Learning Algorithms Decision Tree, Logistic Regression, Naïve Bayes, K-Nearest Neighbor, and Random Forest by Manorom, Paiboon, Detthamrong, Umawadee, Chansanam, Wirapong

“… As fraud is a major concern in online payments, many machine-learning approaches have been proposed to detect and prevent fraudulent payment transactions…”
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