Results 71 to 80 of about 537,050 (171)

Ensembling Supervised and Unsupervised Machine Learning Algorithms for Detecting Distributed Denial of Service Attacks

Algorithms
The distributed denial of service (DDoS) attack is one of the most pernicious threats in cyberspace. Catastrophic failures over the past two decades have resulted in catastrophic and costly disruption of services across all sectors and critical ...
Saikat Das, Mohammad Ashrafuzzaman, Frederick T. Sheldon, Sajjan Shiva   +3 more
doaj   +1 more source

Ensemble learning for predicting subsurface bearing layer depths in Tokyo

Results in Engineering
In order to improve the accuracy of geotechnical investigations, this study developed an ensemble learning method for predicting the depth of the bearing layer in Tokyo. Due to the limitations of traditional geotechnical surveys and the need for detailed
Yuxin Cong, Shinya Inazumi
doaj   +1 more source

Improving Driving Style in Connected Vehicles via Predicting Road Surface, Traffic, and Driving Style

Applied Sciences
This paper investigates the application of ensemble learning in improving the accuracy and reliability of predictions in connected vehicle systems, focusing on driving style, road surface quality, and traffic conditions.
Yahya Kadhim Jawad, Mircea Nitulescu
doaj   +1 more source

Ensemble learning

Scholarpedia, 2009
openaire   +2 more sources

Comparative performance of multiple ensemble learning models for preoperative prediction of tumor deposits in rectal cancer based on MR imaging

Scientific Reports
Ensemble learning can effectively mitigate the risk of model overfitting during training. This study aims to evaluate the performance of ensemble learning models in predicting tumor deposits in rectal cancer (RC) and identify the optimal model for ...
Jiayi Wang, Fayong Hu, Jin Li, Wenzhi Lv, Zhiyong Liu, Liang Wang   +5 more
doaj   +1 more source

Review of Classification Medical Images Using Ensemble Learning

NTU Journal of Pure Sciences
Machine learning and deep learning play an important role today in the field of classification and prediction of diseases, particularly through computer-assisted medical imaging and modern devices, which aid in early disease detection, lowering the ...
Fatima Maan Abdulatif Abdulatif, Aseel Waleed Ali   +1 more
doaj   +1 more source

Adaptive Ensemble Learning Model-Based Binary White Shark Optimizer for Software Defect Classification

International Journal of Computational Intelligence Systems
Software dominates modern enterprises, affecting numerous functions. Software firms constantly experiment with new methodologies to define and assess software quality to stay competitive and ensure excellence.
Jameel Saraireh, Mary Agoyi, Sofian Kassaymeh   +2 more
doaj   +1 more source

Retraction Note: Enhancing blockchain transaction classification with ensemble learning approaches. [PDF]

Sci Rep
Panigrahi A, Pati A, Sahu B, Paul R, Nayak AK, Chowdhury S, Govindaraj R, Shreyas J.   +7 more
europepmc   +1 more source

Few-Shot Ensemble Learning for Catalysis and Application to Trimetallics for Oxygen Reduction. [PDF]

ACS Catal
Hill AF, Ruiz-Escudero A, Montemore MM.
europepmc   +1 more source

Inversion of kiwifruit canopy nitrogen using UAV multispectral technology and ensemble learning. [PDF]

Front Plant Sci
Zhou B, Wang Y, Zhang J, Bai X, Tian M, Guo R.   +5 more
europepmc   +1 more source