Results 21 to 30 of about 13,846 (260)

Pengaruh Algoritma ADASYN dan SMOTE terhadap Performa Support Vector Machine pada Ketidakseimbangan Dataset Airbnb

Edumatic, 2021
Traveling activities are increasingly being carried out by people in the world. Some tourist attractions are difficult to reach hotels because some tourist attractions are far from the city center, Airbnb is a platform that provides home or apartment ...
Wahyu Hidayat, Mursyid Ardiansyah, Arief Setyanto   +2 more
doaj   +1 more source

COMBINATION OF SYNTHETIC MINORITY OVERSAMPLING TECHNIQUE (SMOTE) AND BACKPROPAGATION NEURAL NETWORK TO CONTRACEPTIVE IUD PREDICTION

Media Statistika, 2020
Data imbalance occurs when the amount of data in a class is more than other data. The majority class is more data, while the minority class is fewer. Imbalance class will decrease the performance of the classification algorithm. Data on IUD contraceptive
Mustaqim Mustaqim, Budi Warsito, Bayu Surarso   +2 more
doaj   +1 more source

Loss of hepatic SMLR1 causes hepatosteatosis and protects against atherosclerosis due to decreased hepatic VLDL secretion

Hepatology, EarlyView., 2022
The role of SMLR1 in lipid metabolism (high fat + cholesterol diet in mice) Abstract Background and Aims The assembly and secretion of VLDL from the liver, a pathway that affects hepatic and plasma lipids, remains incompletely understood. We set out to identify players in the VLDL biogenesis pathway by identifying genes that are co‐expressed with the ...
Willemien van Zwol, Antoine Rimbert, Justina C. Wolters, Marieke Smit, Vincent W. Bloks, Niels J. Kloosterhuis, Nicolette C. A. Huijkman, Mirjam H. Koster, Umesh Tharehalli, Simon M. de Neck, Colin Bournez, Marceline M. Fuh, Jeroen Kuipers, Sujith Rajan, Alain de Bruin, Henry N. Ginsberg, Gerard J. P. van Westen, M. Mahmood Hussain, Ludger Scheja, Joerg Heeren, Philip Zimmerman, Bart van de Sluis, Jan Albert Kuivenhoven   +22 more
wiley   +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, Tianrui Li 0001, Chubato Wondaferaw Yohannese, Kamal Bashir   +3 more
openaire   +2 more sources

A Novel Data Preprocessing Model for Lightweight Sensory IoT Intrusion Detection [PDF]

International Journal of Mathematical, Engineering and Management Sciences
IoT 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, Hoor Fatima, Nitin Rakesh   +2 more
doaj   +1 more source

Multilayered Digital Microfluidic Chip for Cell‐Based Assays

Advanced Materials Interfaces, EarlyView.
A multilayered digital microfluidic (mDMF) chip architecture is introduced to improve throughput and robustness in cell‐based assays. By multilayering electrode components and dielectric layers on glass, this design significantly reduces actuation voltage, maintains reliability, and enables expansion of the operational area with minimum current leakage.
Mert Ozden, Oksana K. Savchak, Burcu Gumuscu   +2 more
wiley   +1 more source

Rockburst Damage Scale Prediction in Underground Mines Using SMOTE-Based Resampling and Ensemble Learning

Applied Sciences
Rockburst 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, Amoussou Coffi Adoko, Rashid Afshar, Candan Gokceoglu   +3 more
doaj   +1 more source

Geometric SMOTE: Effective oversampling for imbalanced learning through a geometric extension of SMOTE

CoRR, 2017
22 pages, 15 ...
Georgios Douzas, Fernando Bação
openaire   +2 more sources

RPLP2 Mediates the Beneficial Effects of Exercise on Stress Resistance Through Muscle–Brain Communication

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, Wei Wu, Huan Peng, Dan He, Yuxi Guo, Boyue Zhao, Xiaodan Wang, Li Ma, Yuhang Qin, Yifang Zhai, Lixia Zhuo, Ying Zhang, Yijie Guo, Linlin Jing, Fangyao Chen, Erfei Zhang, Wei Wang, Xiancang Ma, Yan Li   +18 more
wiley   +1 more source

Early Prediction of COVID-19 Ventilation Requirement and Mortality from Routinely Collected Baseline Chest Radiographs, Laboratory, and Clinical Data with Machine Learning

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, Almazroa A, Bokhari Y, Alawad M, Mahmoud E, Alawad E, Alsehawi A, Rashid M, Alomair L, Almozaai S, Albesher B, Alomaish H, Daghistani R, Alharbi NK, Alaamery M, Bosaeed M, Alshaalan H   +16 more
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