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Darknet Traffic Detection Using Histogram-Based Gradient Boosting
The network security sector has observed a rise in severe attacks emanating from the darknet or encrypted networks in recent years. Network intrusion...
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Light Gradient Boosting Machine in Software Defect Prediction: Concurrent Feature Selection and Hyper Parameter Tuning
Predicting software defects is critical for ensuring software quality. Many supervised learning approaches have been used to detect defect-prone...
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Classification and Identification of Weeds Using Gradient Boosting Classifiers
“Weeds present a significant challenge in agriculture, affecting crop yields and increasing reliance on herbicides. Accurate and timely weed...
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Application of extreme gradient boosting in predicting the viscoelastic characteristics of graphene oxide modified asphalt at medium and high temperatures
Complex modulus ( G *) is one of the important criteria for asphalt classification according to AASHTO M320-10, and is often used to predict the linear...
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Predicting shear strength of slender beams without reinforcement using hybrid gradient boosting trees and optimization algorithms
Shear failure of slender reinforced concrete beams without stirrups has surely been a complicated occurrence that has proven challenging to...
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Music Genre Classification Using Light Gradient Boosting Machine: A Pilot Study
The world is changing at a rapid pace with the advent of mind blowing, sophisticated yet elegant technologies like artificial intelligence, robotics,...
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RETRACTED ARTICLE: Explainable AI Model for Recognizing Financial Crisis Roots Based on Pigeon Optimization and Gradient Boosting Model
Utilizing Artificial Intelligence (AI) techniques to forecast, recognize, and classify financial crisis roots are important research challenges that...
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Users’ Departure Time Prediction Based on Light Gradient Boosting Decision Tree
With the development of urban transportation networks, the flow of people in cities generally shows the characteristics of concentration, periodicity...
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Gravitational Search Optimized Light Gradient Boosting Machine for Identification of Malicious Access in IoT Network
Due to growing adoption of IoT devices and Network, the software, hardware, and device connectivity need to be secured for IoT infrastructure to...
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Boosting of fruit choices using machine learning-based pomological recommendation system
Pomology, also known as fruticulture, is a significant contributor to the economies of many nations worldwide. While vertical farming methods are not...
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Early prediction of heart disease with data analysis using supervised learning with stochastic gradient boosting
Heart diseases are consistently ranked among the top causes of mortality on a global scale. Early detection and accurate heart disease prediction can...
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Efficient machine learning models for estimation of compressive strengths of zeolite and diatomite substituting concrete in sodium chloride solution
This study implements a set of machine learning algorithms to building material science, which predict the compressive strength of zeolite and...
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Machine Learning Empowered House Price Prediction Model
People are vigilant about buying a new house or plot where they are enthusiastic to live. They are likewise capricious in the land because of the...
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Enhancing Predictive Battery Maintenance Through the Use of Explainable Boosting Machine
Battery Remaining Useful Life (RUL) prediction is crucial for the predictive maintenance of lithium-ion batteries. This paper presents a study on...
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Identification of Malicious Access in IoT Network by Using Artificial Physics Optimized Light Gradient Boosting Machine
The IoT infrastructure needs to be secured to ensure security to connected IoT devices and User’s data. Therefore, in order to ensure security, a...
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Supervised machine learning algorithms for predicting student dropout and academic success: a comparative study
Utilizing a dataset sourced from a higher education institution, this study aims to assess the efficacy of diverse machine learning algorithms in...
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GBDT4CTRVis: visual analytics of gradient boosting decision tree for advertisement click-through rate prediction
AbstractGradient boosting decision tree (GBDT) is a mainstream model for advertisement click-through rate (CTR) prediction. Since the complex working...
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FFN-XGB- design of a hybrid feed forward neural network and extreme gradient boosting model for early prediction of chronic kidney disease
The decrease in kidney function caused by chronic kidney disease (CKD) is progressive and permanent. Artificial Intelligent methods need to be...
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Cost-Effective and Efficient Detection of Autism from Screening Test Data Using Light Gradient Boosting Machine
Autism spectrum disorder (ASD) is a developmental disorder that affects the brain. Autism constrains a person’s ability to interact and communicate...
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Estimation of Fe Grade at an Ore Deposit Using Extreme Gradient Boosting Trees (XGBoost)
Estimating the spatial distribution of ore grade is one of the most critical and important steps to continue investment decision on the deposit....
