Results 51 to 60 of about 3,838 (180)
Radar-based Feature Design and Multiclass Classification for Road User Recognition
, 2019 The classification of individual traffic participants is a complex task, especially for challenging scenarios with multiple road users or under bad weather conditions.
Appenrodt, Nils +3 more
core +1 more source
Inverse Engineering of Mg Alloys Using Guided Oversampling and Semi‐Supervised Learning
Advanced Intelligent Discovery, Volume 2, Issue 1, February 2026.End‐to‐end design of engineering materials such as Mg alloys must include the properties, structure, and post‐synthesis processing methods. However, this is challenging when destructive mechanical testing is needed to annotate unseen data, and the processing methods for hypothetical alloys are unknown.
Amanda S. Barnard
wiley +1 more source
Data Balancing Techniques Using the PCA-KMeans and ADASYN for Possible Stroke Disease Cases
JOIN: Jurnal Online InformatikaImbalanced data happens when the distribution of classes is not equal between positive and negative classes. In healthcare, the majority class typically consists of healthy patient data, while the minority class contains sick patient data. This condition
Uung Ungkawa, Muhammad Avilla Rafi
doaj +1 more source
Applied AI Letters, Volume 7, Issue 1, February 2026.Proposed approach for this study. ABSTRACT This study introduces a dynamically memory‐adjusted whale optimization algorithm (DMA‐WOA) for feature selection in polycystic ovary syndrome (PCOS) diagnosis. To overcome the standard WOA's limitations in balancing exploration and exploitation, DMA‐WOA incorporated adaptive memory control to improve ...
Daniel Kwame Amissah +4 more
wiley +1 more source
Reviews in Cardiovascular Medicine, 2023 Background: Several studies have shown that women have a higher mortality rate than do men from ST-segment elevation myocardial infarction (STEMI). The present study was aimed at developing a new risk-prediction model for all-cause in-hospital mortality ...
Pengyu Zhao +7 more
doaj +1 more source
Predictive Modelling for Loan Defaults [PDF]
, 2019 In this paper we explore how predictive modelling can be applied in loan default prediction. The issue of predicting the outcome of a loan to be fully paid or defaulted is one of binary classification.
Zhu, Leon
core
An investigation of a deep learning based malware detection system
, 2018 We investigate a Deep Learning based system for malware detection. In the investigation, we experiment with different combination of Deep Learning architectures including Auto-Encoders, and Deep Neural Networks with varying layers over Malicia malware ...
David O. E. +6 more
core +1 more source
Concurrency and Computation: Practice and Experience, Volume 38, Issue 1, January 2026.ABSTRACT Software fault prediction (SFP) plays a crucial role in modern software development by enabling early identification of fault‐prone modules and efficient allocation of testing resources. While deep learning approaches have shown promise in this domain, challenges persist regarding architectural choices, metric selection, and class imbalance ...
Khoa Phung +2 more
wiley +1 more source
BarekengIndonesian medicinal plants, such as turmeric and soursop, have shown promising anticancer properties through their bioactive compounds, like curcumin and extracts from soursop.
Hikmah Hikmah +2 more
doaj +1 more source
Generative Adversarial Networks Selection Approach for Extremely Imbalanced Fault Diagnosis of Reciprocating Machinery [PDF]
, 2019 At present, countless approaches to fault diagnosis in reciprocating machines have been proposed, all considering that the available machinery dataset is in equal proportions for all conditions.
Cabrera, Diego +6 more
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