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Variational AdaBoost knowledge distillation for skin lesion classification in dermatology images
Knowledge Distillation has shown promising results for classifying skin lesions in dermatology images. Traditional knowledge distillation typically...
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Semiconductor Price Index Predicting Based on a Novel Improved AdaBoost Feature-Weighted Combination Model
The semiconductor price index serves as a vital metric for assessing technological developments and related market trends. Establishing a more...
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Hybrid Prediction Model of Engineering Classification of Slope Rock Mass Based on DCWA-EO-AdaBoost Model and BQ Method
Swift and precise classification of rock masses significantly enhances the prudent and efficient advancement of rock mass engineering. To...
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ANN-AdaBoost model for the strength-weakening coefficient of soft clay in port engineering
The strength of soft clay tends to weaken under wave loads, which affects the safe operation of buildings with soft clay foundations in port...
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Bearing Fault Diagnosis in CNC Machine Using Hybrid Signal Decomposition and Gentle AdaBoost Learning
PurposeThe most common cause of CNC machine failure is the bearing faults that influence the performance of the manufacturing system. The detection...
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Selective quantum ensemble learning inspired by improved AdaBoost based on local sample information
In ensemble learning, random subspace technology not only easily loses some important features but also easily produces some redundant subspaces,...
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Urban Sound Classification Using Adaboost
Classifying environmental sounds such as gunshots and dog barking are gaining popularity. Environmental sound classification(ESC) helps in develo**...
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An Improved AdaBoost for Prosecutorial Case-Workload Estimation via Case Grou**
Case-workload estimation has always been a complex process and plays a vital role in prosecutorial work. Despite the increasing development of...
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Islanding detection in DC ring microgrid using improved complete ensemble empirical mode decomposition with adaptive noise and multi-class AdaBoost algorithm
To meet the energy demand and increase the reliability, DC microgrids are mainly preferred in the present era. Particularly, photovoltaic-based DC...
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Application of AdaBoost for stator fault diagnosis in three-phase permanent magnet synchronous motors based on vibration–current data fusion analysis
Permanent magnet synchronous motors (PMSMs) are of wide utilization in various industrial applications for their precise control capabilities....
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Stroke Disease Prediction Using Adaboost Ensemble Learning Technique
This paper presents an approach to predict stroke utilizing a better model with Adaboost algorithm. Today the utilization of opportunely trained...
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Research on Optimizing Face Recognition Algorithm Based on Adaboost Algorithm
Face detection and recognition technology has always been a hot research direction, face detection and recognition technology has received extensive...
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Classification of Cardiovascular Disease Using AdaBoost Method
The paper is devoted to diagnosing patients with cardiovascular disease. To determine the disease in medical diagnostics, statistical methods are...
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A novel and robust data anomaly detection framework using LAL-AdaBoost for structural health monitoring
The development of structural health monitoring (SHM) on civil infrastructures has resulted in enormous amount of acquired data along with the...
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A strong hybrid AdaBoost classification algorithm for speaker recognition
Recognizing the person from a sample of their voice print or speech samples is known as Speaker recognition. It is an emerging technology, in recent...
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The Classification of Breast Cancer Based on Hyper-Tuned AdaBoost Ensemble Model
This paper simply presents an automated approach based on hyperparameter tuned AdaBoost ensemble model for the classification of cancer of breast...
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Hybridized Support Vector Machine and Adaboost Technique for Malaria Diagnosis
One of the most prevalence diseases in develo** countries in recent years is still Malaria with global public health concern. Malaria is caused by...
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Vehicle Automatic Driving Path Based on AdaBoost Algorithm
An autonomous vehicle is a vehicle that can actively perceive the environment and drive autonomously without human intervention. With the advancement...
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IPSO-SMOTE-AdaBoost: An Optimized Class Imbalance Strategy Using Boosting and PSO Techniques
The class imbalance is challenging issue in machine learning and data mining especially health care, telecom sector, agriculture sector, and many...
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Predictive Modeling of Vicat Softening Point for Low-Density Polyethylene Using GBM, XGBoost and AdaBoost: A Comparative Analysis
This study provides a comparative analysis for predicting Vicat softening temperatures of Low-Density Polyethylene (LDPE), which is one of the...