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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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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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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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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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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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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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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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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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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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Predicting Stock Closing Price with Stock Network Public Opinion Based on AdaBoost-AAFSA-Elman Model and CEEMDAN Algorithm
To solve low prediction accuracy of Elman in predicting stock closing price, the model of adaptive boosting (AdaBoost)-improved artificial fish swarm...
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Classification of Driving Tendency of Commercial Truck Drivers Based on AdaBoost Algorithm
In order to study the differences in the driving behavior of truck drivers, a classified management of truck drivers is implemented. Obtain the...
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Reliability System of CNC Machine Tool Based on BP-AdaBoost Algorithm
At present, China’s CNC machine tool production level and foreign advanced technology compared, there is still a big gap, whether it is reliability,...
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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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Vehicle recognition algorithm based on Haar-like features and improved Adaboost classifier
As the first step of vehicle detection and recognition system, how to quickly and accurately detect the vehicle in a picture is directly related to...
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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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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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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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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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Video Surveillance System of Substation Based on AdaBoost Pedestrian Anti-misjudgment Algorithm
In order to reduce the false alarm rate of the pedestrian monitoring system in the substation and accelerate the unmanned operation of the...