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An Ensemble of Light Gradient Boosting Machine and Adaptive Boosting for Prediction of Type-2 Diabetes
Machine learning helps construct predictive models in clinical data analysis, predicting stock prices, picture recognition, financial modelling,...
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Machine Learning-Based Image Forgery Detection Using Light Gradient-Boosting Machine
In recent days, due to the increasing development of digital automation, images have emerged as a significant way to interact as well as transfer...
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Electrical Load Forecasting Using Hybrid of Extreme Gradient Boosting and Light Gradient Boosting Machine
Ensemble learning methods have been used to improve performance accuracy through bias-variance trade-off techniques. However, there is still room to...
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Using the Light Gradient Boosting Machine for Prediction in QSAR Models
Quantitative structure–activity relationship (QSAR) models are increasingly used in pharmacological research nowadays. This study compares two...
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Light Gradient Boosting Machine Configurable Fast Block Partitioning for Luminance
This chapter presents a configurable fast block partitioning decision for Versatile Video Coding (VVCVersatile Video Coding (VVC)) intra-frame...
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RON Loss Prediction Based on Model of Light Gradient Boosting Machine
The emission produced after gasoline combustion caused great pollution to the environment, and the combustion of sulfur and olefin in the tail gas...
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A comparative study of machine learning models for construction costs prediction with natural gradient boosting algorithm and SHAP analysis
The precise prediction of construction costs during the initial phase of a construction project is crucial for ensuring the project’s success....
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Comparative Analysis of Gradient-Boosting Ensembles for Estimation of Compressive Strength of Quaternary Blend Concrete
Concrete compressive strength is usually determined 28 days after casting via crushing of samples. However, the design strength may not be achieved...
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Detection of Phishing Website Using Support Vector Machine and Light Gradient Boosting Machine Learning Algorithms
Phishing is one of the most popular and hazardous cybercrime attacks. These attacks are designed to steal information used by people and companies to...
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Multi-objective hyperparameter optimization on gradient-boosting for breast cancer detection
The most commonly occurring cancer among women, breast cancer, causes lakhs of deaths annually, which can be prevented by early detection and...
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Computer Vision-Based Severity Classification of Asphalt Pavement Raveling Using Advanced Gradient Boosting Machines and Lightweight Texture Descriptors
Automatic detection of raveled areas and categorization of their severity are crucial for assessing maintenance requirements and guaranteeing driving...
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Structural and SCOAP Features Based Approach for Hardware Trojan Detection Using SHAP and Light Gradient Boosting Model
Hardware Trojan (HT) is the most critical threat due to outsourcing of Integrated circuit designing phases. Existing machine learning-based HT...
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Prediction of Absenteeism at the Workplace: A Light Gradient Boosting Approach
The strength of a company or institution is linked to various elements, the most important of which is absenteeism. Employees on yearly leave or...
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Explainable Boosting Machine for Predicting Wind Shear-Induced Aircraft Go-around based on Pilot Reports
The go-around is a safety-critical procedure in civil aviation that is rarely executed but is essential to avoid risky landings. Analyzing the...
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A Comparative Study of Using Boosting-Based Machine Learning Algorithms for IoT Network Intrusion Detection
The Internet-of-Things (IoT) environment has revolutionized the quality of living standards by enabling seamless connectivity and automation....
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Predicting occurrence of liquefaction-induced lateral spreading using gradient boosting algorithms integrated with particle swarm optimization: PSO-XGBoost, PSO-LightGBM, and PSO-CatBoost
Liquefaction-induced lateral spreading that has resulted in devastating damages to lifelines and buildings has been widely reported in recent...
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A Machine Learning Based Approach for Diagnosing Pneumonia with Boosting Techniques
Detecting pneumonia early can improve lung patient survival rates. A chest X-ray (CXR) is the most common method for locating and diagnosing...
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Identification of Malicious Access in IoT Network from Connection Traces by Using Light Gradient Boosting Machine
In this paper, light gradient boosting machine (light GBM) ensemble learning model based model has been used for identification of malicious access...
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A Secured Novel Classifier for Effective Classification Using Gradient Boosting Algorithms
This research provides an anomaly detection model based on Light Gradient Boosting Machine (LightGBM), eXtreme Gradient Boosting (XGBoost), and...
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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...