Geometric imbalanced deep learning with feature scaling and boundary sample mining
Data imbalance is a significant factor affecting classification performance in computer vision.
In particular, data imbalance is harmful to classification learning and representation …
In particular, data imbalance is harmful to classification learning and representation …
A novel unsupervised real‐time damage detection method for structural health monitoring using machine learning
S Shi, D Du, O Mercan, E Kalkan… - Structural Control and …, 2022 - Wiley Online Library
Real‐time structural damage detection is one of the main goals of establishing an effective
structural health monitoring system. However, due to the lack of training data for possible …
structural health monitoring system. However, due to the lack of training data for possible …
A review: machine learning based hardware trojan detection
R Sharma, P Ranjan - 2021 10th International Conference on …, 2021 - ieeexplore.ieee.org
The Hardware Trojan (HT) is a deliberately inserted extra circuit, which is placed inside the
integrated circuits (ICs) during the design or production phase. It has the ability to extract …
integrated circuits (ICs) during the design or production phase. It has the ability to extract …
CAN bus messages abnormal detection using improved SVDD in Internet of Vehicles
Controller area network (CAN) bus anomaly detection on the Internet of Vehicles (IoV) is a
topic of ongoing interest and increasing importance, particularly as IoV becomes …
topic of ongoing interest and increasing importance, particularly as IoV becomes …
Ellipsoidal subspace support vector data description
In this paper, we propose a novel method for transforming data into a low-dimensional
space optimized for one-class classification. The proposed method iteratively transforms …
space optimized for one-class classification. The proposed method iteratively transforms …
Model approaches to estimate spatial distribution of bee species richness and soybean production in the Brazilian Cerrado during 2000 to 2015
Agricultural expansion as a main human activity has affected pollinator's habitat, causing
spatial distribution changes. Meanwhile, pollinators still provide pollination service to …
spatial distribution changes. Meanwhile, pollinators still provide pollination service to …
Fuzzy multi-sphere support vector data description
Current well-known data description methods such as Support Vector Data Description and
Small Sphere Large Margin are conducted with assumption that data samples of a class in …
Small Sphere Large Margin are conducted with assumption that data samples of a class in …
Machine Learning–Based Hardware Trojans Detection in Integrated Circuits: A Systematic Review
R Sharma, P Ranjan - International Conference on Data Science and …, 2023 - Springer
A purposefully inserted additional circuit known as the Hardware Trojan (HT) is implanted
inside original integrated circuits during the designing or manufacturing stages. It has the …
inside original integrated circuits during the designing or manufacturing stages. It has the …
[图书][B] Constraint-Handling mit Supportvektor-Dekodern in der verteilten Optimierung
J Bremer - 2015 - dl.gi.de
Optimierungsansätze in dynamisch organisierten, kooperativen Systemen stehen oft vor
dem Problem, nicht auf ein statisches Optimierungsmodell zurückgreifen zu können. Im …
dem Problem, nicht auf ein statisches Optimierungsmodell zurückgreifen zu können. Im …
Support vector data description by using hyper-ellipse instead of hyper-sphere
Support Vector Data Description (SVDD) describes data by using a hyper-sphere. In this
paper, we propose an extended SVDD (ESVDD) which describes data by using a hyper …
paper, we propose an extended SVDD (ESVDD) which describes data by using a hyper …