Search Results - "gradient boosting algorithms"

PlantLncBoost: key features for plant lncRNA identification and significant improvement in accuracy and generalization by Tian, Xue‐Chan, Nie, Shuai, Domingues, Douglas, Rossi Paschoal, Alexandre, Jiang, Li‐Bo, Mao, Jian‐Feng

“…Summary Long noncoding RNAs (lncRNAs) are critical regulators of numerous biological processes in plants. Nevertheless, their identification is challenging due…”
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Explainable machine learning for the assessment of donor grafts in liver transplantation by Zhixing, Liang, Linsen, Ye, Peng, Jiang, Siyi, Dong, Haoyuan, Yu, Kun, Li, Siqi, Li, Yongwei, Hu, Mingshen, Zhang, Wei, Liu, Hua, Li, Shuhong, Yi, Guihua, Chen, Xiao, Xu, Shusen, Zheng, Yang, Yang

“…The shortage of liver grafts compared to recipients necessitates precise organ assessment. This study aimed to develop a Machine learning (ML) model to predict…”
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Evaluating machine learning approaches for aboveground biomass prediction in fragmented high-elevated forests using multi-sensor satellite data by Qadeer, Asim, Shakir, Muhammad, Wang, Li, Talha, Syed Muhammad

“…Accurate aboveground biomass (AGB) estimations over large areas are essential for assessing carbon stocks and forest resources. This study evaluated machine…”
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Exploring the PV Power Forecasting at Building Façades Using Gradient Boosting Methods by Polo, Jesús, Martín-Chivelet, Nuria, Alonso-Abella, Miguel, Sanz-Saiz, Carlos, Cuenca, José, de la Cruz, Marina

“…Solar power forecasting is of high interest in managing any power system based on solar energy. In the case of photovoltaic (PV) systems, and building…”
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Breast Cancer Classification Using Gradient Boosting Algorithms Focusing on Reducing the False Negative and SHAP for Explainability by Herrera Pinheiro, João Manoel, Becker, Marcelo

“…Cancer is one of the diseases that kill the most women in the world, with breast cancer being responsible for the highest number of cancer cases and…”
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Comparative Analysis of Gradient‑Boosting Ensembles for Estimation of Compressive Strength of Quaternary Blend Concrete by Mustapha, Ismail B., Abdulkareem, Muyideen, Jassam, Taha M., AlAteah, Ali H., Al-Sodani, Khaled A. Alawi, Al-Tholaia, Mohammed M. H., Nabus, Hatem, Alih, Sophia C., Abdulkareem, Zainab, Ganiyu, Abideen

“…Concrete compressive strength is usually determined 28 days after casting via crushing of samples. However, the design strength may not be achieved after this…”
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Construction and Application of Carbon Emissions Estimation Model for China Based on Gradient Boosting Algorithm by Guan, Dongjie, Shi, Yitong, Zhou, Lilei, Zhu, Xusen, Zhao, Demei, Peng, Guochuan, He, Xiujuan

“…Accurate forecasting of carbon emissions at the county level is critical to support China’s dual-carbon goals. However, most current studies are limited to…”
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Predictive modeling of breast cancer-related lymphedema using machine learning algorithms by Sun, Yang, Xia, Xiaomin, Liu, Xia

“…Breast cancer-related lymphedema (BCRL) is one of the common complications after breast cancer surgery. It can easily lead to limb swelling, deformation and…”
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Machine Learning-Based Lightning Localization Algorithm Using Lightning-Induced Voltages on Transmission Lines by Karami, Hamidreza, Mostajabi, Amirhossein, Azadifar, Mohammad, Rubinstein, Marcos, Zhuang, Chijie, Rachidi, Farhad

“…In this article, we present a machine learning-based method to locate lightning flashes using calculations of lightning-induced voltages on a transmission…”
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Meta Learning Strategies for Comparative and Efficient Adaptation to Financial Datasets by Noor, Kubra, Fatima, Ubaida

“…This research proposes a Meta learning framework for financial time series forecasting, designed to rapidly adapt to novel market conditions with minimal…”
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Design of an Intrusion Detection Model for IoT-Enabled Smart Home by Rani, Deepti, Gill, Nasib Singh, Gulia, Preeti, Arena, Fabio, Pau, Giovanni

“…Machine learning (ML) provides effective solutions to develop efficient intrusion detection system (IDS) for various environments. In the present paper, a…”
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Universal boosting ML approaches to predict the ultimate load capacity of CFST columns by Nguyen, Thuy‐Anh, Le Nguyen, Khuong, Ly, Hai‐Bang

“…Summary Establishing a universal machine learning (ML) model in structural engineering is vital for understanding how various parameters, like geometry and…”
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Analysis and development of risk prediction models for chronic opioid use after surgery: a cohort study using the nationwide database by Kim, Jonghae, Yang, Hyun-Lim, Kim, Eugene, Lee, Hyung-Chul, Yoon, Hyun-Kyu, Kim, Yun Jin, Kim, Kyu-Nam, Kim, Ji-Yoon, Sung, Jeong Min, Lee, Tagkeun

“…Background: Chronic opioid use has become a socioeconomic as well as a medical problem. This study aimed to identify risk factors and develop prediction models…”
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Tree-Based Modeling Methods to Predict Nitrate Exceedances in the Ogallala Aquifer in Texas by Uddameri, Venkatesh, Silva, Ana, Singaraju, Sreeram, Mohammadi, Ghazal, Hernandez, E.

“…The performance of four tree-based classification techniques—classification and regression trees (CART), multi-adaptive regression splines (MARS), random…”
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Artificial Intelligence Techniques for Solar Irradiance and PV Modeling and Forecasting

“…Solar photovoltaic (PV) systems are pivotal and transformative technologies at the forefront of the global shift toward sustainable energy solutions. The…”
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Application of machine-learning algorithms for tephrochronology: a case study of Plio-Quaternary volcanic fields in the South Aegean Active Volcanic Arc by Uslular, Göksu, Kıyıkçı, Fatih, Karaarslan, Enis, Kuşcu, Gonca Gençalioğlu

“…We performed several machine-learning algorithms on a geochemical dataset including whole-rock (n = 1656) and glass (n = 1092) compositions of lavas and…”
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Advanced Machine Learning Techniques Revolutionize Credit Card Fraud Detection by A, Balamanikandan, D, Jayakumar, M, Dhanalakshmi, G, Sudharsan, Prabha, Ankala Satya, V, Venkata Karthika

“…The research investigates the use of new machine learning techniques, including Decision Trees, Random Forests, and Extreme Gradient Boosting, to detect and…”
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Earthquake Prediction Model Using Random Forest and Gradient Boosting Algorithms by Babu, D. Bujji, Revathi, MVN L, Senthil, M., Parvathi, A. Lakshmi, Sceenilai, B., Sheema, Sk

“…Accurate earthquake prediction remains a significant challenge in geosciences. This research investigates the application of machine learning algorithms,…”
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Enhancing Liver Cirrhosis Prognosis: A Machine Learning and Explainable AI Approach by Jeyabalan, Jeyalakshmi, Karthikeyan

“…Liver cirrhosis is a final stage of many chronic liver diseases, accompanying with higher morbidity and mortality rates reduce quality of life. The aim of this…”
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A Comparison of Machine Learning Algorithms for Customer Churn Prediction by Pulkundwar, Parth, Rudani, Krishna, Rane, Omkar, Shah, Chintan, Virnodkar, Shyamal

“…Today's fiercely competitive business environment has given significant importance to customer churn, a term used for the loss of customers, which possesses a…”
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