Results 31 to 40 of about 23,350 (290)
Smote algorithm in imbalanced data [PDF]
, 2023 This article mainly introduces the basic principle of SMOTE algorithm for processing unbalanced data and the speci c implementation method of R language, combined with the characteristics of unbalanced data, uses and improves SMOTE ...
Guo Qiang
core +1 more source
SIA-SMOTE: A SMOTE-based Oversampling Method with Better Interpolation on High-Dimensional Data by Using a Siamese Network [PDF]
, 2023 SMOTE is an effective method for balancing imbalanced datasets by interpolating between existing samples in the minority class. However, if the synthetic samples generated through interpolation are based on noisy data points, then they may also be noisy ...
Gan, John +2 more
core +1 more source
A combined SMOTE and PSO based RBF classifier for two-class imbalanced problems
, 2011 This contribution proposes a powerful technique for two-class imbalanced classification problems by combining the synthetic minority over-sampling technique (SMOTE) and the particle swarm optimisation (PSO) aided radial basis function (RBF) classifier ...
Xia Hong +8 more
core +2 more sources
A Novel Data Preprocessing Model for Lightweight Sensory IoT Intrusion Detection [PDF]
International Journal of Mathematical, Engineering and Management SciencesIoT devices or sensor nodes are essential components of the machine learning (ML) application workflow because they gather abundant information for building models with sensors.
Shahbaz Ahmad Khanday +2 more
doaj +1 more source
A-SMOTE: A New Preprocessing Approach for Highly Imbalanced Datasets by Improving SMOTE
International Journal of Computational Intelligence Systems, 2019 Imbalance learning is a challenging task for most standard machine learning algorithms. The Synthetic Minority Oversampling Technique (SMOTE) is a well-known preprocessing approach for handling imbalanced datasets, where the minority class is oversampled by producing synthetic examples in feature vector rather than data space.
Ahmed Saad Hussein +3 more
openaire +3 more sources
Journal of Multidisciplinary Healthcare, 2021 Abdulrhman Fahad Aljouie,1,2 Ahmed Almazroa,2,3 Yahya Bokhari,1,2 Mohammed Alawad,1,2 Ebrahim Mahmoud,4 Eman Alawad,4 Ali Alsehawi,5 Mamoon Rashid,1,2 Lamya Alomair,1,2 Shahad Almozaai,6 Bedoor Albesher,6 Hassan Alomaish,5 Rayyan Daghistani,5 Naif Khalaf
Aljouie AF +16 more
doaj
Advanced Science, EarlyView.A novel exercise‐inducible myokine acidic ribosomal protein P2 (RPLP2), initially identified from human trials, is presented here, whose circulating levels negatively correlate with clinical anxiety severity. Muscle‐derived RPLP2 enhances hippocampal ribosomal assembly and adult neurogenesis to rescue stress‐induced anxiety deficits.
Peiyu Luo +18 more
wiley +1 more source
Applied SciencesRockburst risk in seismically active mines poses a significant threat to underground safety. This study aims to improve the prediction of rockburst-induced damage by addressing the challenge of class imbalance, which is commonly encountered in rockburst ...
Kairat Sarsembayev +3 more
doaj +1 more source
SMOTE-DRNN: a deep learning algorithm for botnet detection in the internet-of-things networks
, 2021 Nowadays, hackers take illegal advantage of distributed resources in a network of computing devices (i.e., botnet) to launch cyberattacks against the Internet of Things (IoT).
Segun I Popoola (8896253) +5 more
core