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A SNARE Protein Identification Method Based on iLearnPlus to Efficiently Solve the Data Imbalance Problem [PDF]

Frontiers in Genetics, 2022
Machine learning has been widely used to solve complex problems in engineering applications and scientific fields, and many machine learning-based methods have achieved good results in different fields.
Dong Ma, Zhihua Chen, Zhanpeng He, Xueqin Huang   +3 more
doaj   +2 more sources

Enhanced Intrusion Detection for ICS Using MS1DCNN and Transformer to Tackle Data Imbalance [PDF]

Sensors
With the escalating threat posed by network intrusions, the development of efficient intrusion detection systems (IDSs) has become imperative. This study focuses on improving detection performance in programmable logic controller (PLC) network security ...
Yuanlin Zhang, Lei Zhang, Xiaoyuan Zheng
doaj   +2 more sources

Field Radiometric Calibration of a Micro-Spectrometer Based on Remote Sensing of Plateau Inland Water Colors

Applied Sciences, 2023
Remote sensing reflectance (Rrs), which is currently measured mainly using the above-water approach, is the most crucial parameter in the remote sensing inversion of plateau inland water colors.
Jiarui Shi, Qian Shen, Yue Yao, Fangfang Zhang, Junsheng Li, Libing Wang   +5 more
doaj   +1 more source

MS_HGNN: a hybrid online fraud detection model to alleviate graph-based data imbalance

Connection Science, 2023
Online transaction fraud has become increasingly rampant due to the convenience of mobile payment. Fraud detection is critical to ensure the security of online transactions. With the development of graph neural network, researchers have applied it to the
Jing Long, Fei Fang, Cuiting Luo, Yehua Wei, Tien-Hsiung Weng   +4 more
doaj   +1 more source

Enhanced CNN Models for Binary and Multiclass Student Classification on Temporal Educational Data at the Program Level

Vietnam Journal of Computer Science, 2021
In educational data mining, student classification is an important and popular task by predicting final study status of each student. In the existing works, this task has been considered in many various contexts at both course and program levels with ...
Vo Thi Ngoc Chau, Nguyen Hua Phung
doaj   +1 more source

Intelligent Fault Diagnosis of Robotic Strain Wave Gear Reducer Using Area-Metric-Based Sampling

Mathematics, 2023
The main challenge with rotating machine fault diagnosis is the condition monitoring of machines undergoing nonstationary operations. One possible way of efficiently handling this situation is to use the deep learning (DL) method.
Yeong Rim Noh, Salman Khalid, Heung Soo Kim, Seung-Kyum Choi   +3 more
doaj   +1 more source

Prediction of Graduation Development Based on Hypergraph Contrastive Learning With Imbalanced Sampling

IEEE Access, 2023
With the increasingly competitive job market, the employment issue for college graduates has received more and more attention. Predicting graduation development can help students understand their suitable graduation development, thus easing the pressure ...
Yong Ouyang, Tuo Feng, Rong Gao, Yubin Xu, Jinghang Liu   +4 more
doaj   +1 more source

A Proposed Framework for Early Prediction of Schistosomiasis

Diagnostics, 2022
Schistosomiasis is a neglected tropical disease that continues to be a leading cause of illness and mortality around the globe. The causing parasites are affixed to the skin through defiled water and enter the human body.
Zain Ali, Muhammad Faisal Hayat, Kamran Shaukat, Talha Mahboob Alam, Ibrahim A. Hameed, Suhuai Luo, Shakila Basheer, Manel Ayadi, Amel Ksibi   +8 more
doaj   +1 more source

A Transformer-Based Prediction Method for Depth of Anesthesia During Target-Controlled Infusion of Propofol and Remifentanil

IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023
Accurately predicting anesthetic effects is essential for target-controlled infusion systems. The traditional (PK-PD) models for Bispectral index (BIS) prediction require manual selection of model parameters, which can be challenging in clinical settings.
Yongkang He, Siyuan Peng, Mingjin Chen, Zhijing Yang, Yuanhui Chen   +4 more
doaj   +1 more source

A Fault Diagnosis Method under Data Imbalance Based on Generative Adversarial Network and Long Short-Term Memory Algorithms for Aircraft Hydraulic System

Aerospace, 2023
Safe and stable operation of the aircraft hydraulic system is of great significance to the flight safety of an aircraft. Any fault may be a threat to flight safety and may lead to enormous economic losses and even human casualties.
Kenan Shen, Dongbiao Zhao
doaj   +1 more source