Results 1 to 10 of about 3,838 (180)
ADASYN-LOF Algorithm for Imbalanced Tornado Samples
Atmosphere, 2022 Early warning and forecasting of tornadoes began to combine artificial intelligence (AI) and machine learning (ML) algorithms to improve identification efficiency in the past few years.
Zhipeng Qing +5 more
doaj +2 more sources
Data Augmentation and Machine Learning algorithms for multi-class imbalanced morphometrics data of stingless bees [PDF]
HeliyonThe study focusses on handling of multiclass imbalanced data on classification of stingless bee samples by employing data balancing techniques, namely Synthetic Minority Oversampling Technique (SMOTE) and Adaptive Synthetic (ADASYN) approach.
Daisy Salifu +4 more
doaj +2 more sources
ENSEMBLE CNN WITH ADASYN FOR MULTICLASS CLASSIFICATION ON CABBAGE PESTS
BarekengImage classification is a complex process influenced by various factors, one of which is the amount of image data. In the context of cabbage pest classification, data often exhibits a significant class imbalance, where certain pests are more prevalent ...
Nabila Ayunda Sovia +1 more
doaj +2 more sources
APPLICATION OF ADASYN OVERSAMPLING TECHNIQUE ON K-NEAREST NEIGHBOR ALGORITHM
BarekengThe K-Nearest Neighbor Algorithm is a commonly used data mining algorithm for classification due to its effectiveness with large datasets and noise.
Herina Marlisa +3 more
doaj +2 more sources
Credit Risk Prediction Based on Improved ADASYN Sampling and Optimized LightGBM
Journal of Social ComputingA credit risk prediction model named KM-ADASYN-TL-FLLightGBM (KADT-FLightGBM) is proposed in this study. Firstly, to overcome the limitation of traditional sampling methods in dealing with imbalanced datasets, an improved ADASYN sampling with K-means ...
Mei Song, He Ma, Yi Zhu, Mengdi Zhang
doaj +2 more sources
ADASYN−Random Forest Based Intrusion Detection Model [PDF]
2021 4th International Conference on Signal Processing and Machine Learning, 2021 Intrusion detection has been a key topic in the field of cyber security, and the common network threats nowadays have the characteristics of varieties and variation. Considering the serious imbalance of intrusion detection datasets will result in low classification performance on attack behaviors of small sample size and difficulty to detect network ...
Chen, Zhewei, Yu, Wenwen, Zhou, Linyue
openaire +2 more sources
PLoS ONECervical cancer remains a leading cause of female mortality, particularly in developing regions, underscoring the critical need for early detection and intervention guided by skilled medical professionals.
Raafat M Munshi
doaj +3 more sources
Transformer fault diagnosis method based on TLR-ADASYN balanced dataset
Scientific Reports, 2023 AbstractAs the cornerstone of transmission and distribution equipment, power transformer plays a very important role in ensuring the safe operation of power system. At present, the technology of dissolved gas analysis (DGA) has been widely used in fault diagnosis of oil-immersed transformer.
Shan Guan, Haiqi Yang, Tongyu Wu
openaire +3 more sources
Jurnal CoSciTech (Computer Science and Information Technology), 2022 Di masa Machine Learning pada saat ini, para peneliti bekerja keras untuk mengembangkan algoritma yang meningkatkan kemungkinan prediksi yang benar dengan akurasi yang lebih baik. Data tidak seimbang adalah ketika ukuran sampel dari satu kelas jauh lebih besar dari kelas lain, sampel minoritas dapat diperlakukan sebagai noise dalam proses klasifikasi ...
Januar Al Amien +2 more
openaire +1 more source
Evaluation of electrohysterogram measured from different gestational weeks for recognizing preterm delivery:a preliminary study using random Forest [PDF]
, 2020 Developing a computational method for recognizing preterm delivery is important for timely diagnosis and treatment of preterm delivery. The main aim of this study was to evaluate electrohysterogram (EHG) signals recorded at different gestational weeks ...
Du, Mengqing +7 more
core +1 more source