Results 151 to 160 of about 111,551 (360)

Challenges and limitations of synthetic minority oversampling techniques in machine learning

, 2023
Ibraheem M. Alkhawaldeh, Ibrahem Albalkhi, Abdulqadir Jeprel Naswhan   +2 more
openalex   +1 more source

Advanced Hybrid Techniques for Cyberattack Detection and Defense in IoT Networks

SECURITY AND PRIVACY, Volume 8, Issue 2, March/April 2025.
ABSTRACT The Internet of Things (IoT) represents a vast network of devices connected to the Internet, making it easier for users to connect to modern technology. However, the complexity of these networks and the large volume of data pose significant challenges in protecting them from persistent cyberattacks, such as distributed denial‐of‐service (DDoS)
Zaed S. Mahdi, Rana M. Zaki, Laith Alzubaidi   +2 more
wiley   +1 more source

Data augmentation based on multiple oversampling fusion for medical image segmentation

, 2022
Liangsheng Wu, Jiajun Zhuang, Weizhao Chen, Yu Tang, Chaojun Hou, Chentong Li, Zhenyu Zhong, Shaoming Luo   +7 more
openalex   +2 more sources

Phenomenological Prediction of Defect Formation in Continuous Casting of Steel Utilizing Fundamental Modeling and Machine Learning

steel research international, EarlyView.
In this article, decision tree classifiers are developed to predict defects in continuous casting of steel utilizing caster data from SSAB Raahe Works (Finland). Phenomenological quality criteria extracted from applicable process measurements and results from solidification and heat transfer simulations are utilized in prediction.
Julius Norrena, Seppo Louhenkilpi, Ville‐Valtteri Visuri, Tuomas Alatarvas, Agne Bogdanoff, Timo Fabritius   +5 more
wiley   +1 more source

Fed-DPSDG-WGAN: Differentially Private Synthetic Data Generation for Loan Default Prediction via Federated Wasserstein GAN

IEEE Access
Lenders typically conduct thorough credit checks to mitigate credit default risk before lending money. Proactively predicting loan defaulters has become increasingly important.
Padmaja Ramachandra, Santhi Vaithiyanathan   +1 more
doaj   +1 more source

Model‐Aided State Parameter Inversion Identification of Electromagnetic Trip Device for High Voltage Circuit Breakers

High Voltage, EarlyView.
ABSTRACT In this paper, a model‐aided state parameter inversion identification method based on the coil current (CC) of electromagnetic trip device (ETD) is proposed to realise the state parameter inversion online and the quantitative description of defects.
Feiyue Yan, Jiangjun Ruan, Yufei Liu, Yongqing Deng   +3 more
wiley   +1 more source

Quantitative Evaluation of Mechanical Defects for Circuit Breakers Based on Self‐Adaptive Fault Feature Tracking

High Voltage, EarlyView.
ABSTRACT Many researchers are committed to improving the diagnosis accuracy and solving the few‐shot problem on circuit breakers (CBs). However, the research on the vibration transmission mechanism of the fault is insufficient, which makes it difficult to find the potential design defects of CBs through vibration.
Jiayi Gong, Yaxiong Tan, Shangding Li, Jian Li   +3 more
wiley   +1 more source

Inverse prediction of Al alloy post-processing conditions using classification with guided oversampling

Machine Learning: Science and Technology
Machine learning is proving to be an ideal tool for materials design, capable of predicting forward structure-property relationships, and inverse property-structure relationships.
A S Barnard
doaj   +1 more source

Imbalanced classification for protein subcellular localisation with multilabel oversampling [PDF]

, 2022
Priyanka Rana, Arcot Sowmya, Erik Meijering, Yang Song   +3 more
openalex   +1 more source

Gender‐Sensitive Resilience in Kyrgyz Households: Latent Profile and Cross‐Lagged Dynamic Panel Approaches

Australian Journal of Agricultural and Resource Economics, EarlyView.
ABSTRACT Resilience is still conceptualised as gender‐neutral in research and policy discussions. However, a gendered resilience framework suggests that gender roles and intra‐household dynamics are intricately linked with household resilience. This manuscript aims to analyse the effect of gender role attitudes on climate change resilience.
Bekhzod Egamberdiev, Lena Kuhn, Ihtiyor Bobojonov, Thomas Glauben   +3 more
wiley   +1 more source