supported by the National Key Research and Development Program of China(Grant No.2023YFB3907403);the National Natural Science Foundation of China(Grant No.42201499);the Open Research Program of the International Research Center of Big Data for Sustainable Development Goals(Grant No.CBAS2022ORP03).
Sustainable Development Goal 2(SDG 2,zero hunger)highlights that global hunger and food insecurity have worsened since 2015,driven in part by growing imbalance.Addressing the challenge of achieving SDG 2 in the face o...
Accurate and fast transient stability assessment is helpful for grid operators to take effective emergency control actions after faults. The gradual deployment of the wide-area measurement system provides a basis for ...
supported by National Key R&D Program of China(Grant No.2021YFB3601800);Hefei Comprehensive National ScienceCenter。
A qualified termination should have the same blocking capability as an active region to prevent a super-junction(SJ)device from breaking down prematurely.The 960 V[1]and 1920 V[2]SiC SJ terminations using“trench etch...
funded by the Hainan Provincial Natural Science Foundation Project(Grant No.622RC675);the National Natural Science Foundation of China(Grant No.62262019).
As computer data grows exponentially,detecting anomalies within system logs has become increasingly important.Current research on log anomaly detection largely depends on log templates derived from log parsing.Word em...
Due to the anonymous and contract transfer nature of blockchain cryptocurrencies,they are susceptible to fraudulent incidents such as phishing.This poses a threat to the property security of users and hinders the heal...
supported by the National Natural Science Foundation of China(Nos.62141608 and U19B 2038),the CAAI Huawei MindSpore Open Fund.
The prediction of molecular properties is a fundamental task in the field of drug discovery.Recently,graph neural networks(GNNs)have been gaining prominence in this area.Since a molecule tends to have multiple correla...
funded by Universitas Negeri Malang,contract number 4.4.841/UN32.14.1/LT/2024.
An imbalanced dataset often challenges machine learning, particularly classification methods. Underrepresented minority classes can result in biased and inaccurate models. The Synthetic Minority Over-Sampling Techniqu...
supported by The Henan Province Science and Technology Research Project(242102211046);the Key Scientific Research Project of Higher Education Institutions in Henan Province(25A520039);theNatural Science Foundation project of Zhongyuan Institute of Technology(K2025YB011);the Zhongyuan University of Technology Graduate Education and Teaching Reform Research Project(JG202424).
Electrocardiogram (ECG) analysis is critical for detecting arrhythmias, but traditional methods struggle with large-scale Electrocardiogram data and rare arrhythmia events in imbalanced datasets. These methods fail to...
supported by the National Natural Science Foundation of China(Grant No.62293495)。
This paper systematically studies the impact of imbalances between adjacent lines and effects on crosstalk.A novel perspective of displacement current is introduced to analyze and explain the simulated observations.Th...
funded by the McGill University Graduate Excellence Fellowship Award(00157);the Mitacs Accelerate Program(IT13369);the McGill Engineering Doctoral Award(MEDA).
Machine learning(ML)has recently enabled many modeling tasks in design,manufacturing,and condition monitoring due to its unparalleled learning ability using existing data.Data have become the limiting factor when impl...