Results 91 to 100 of about 92,198 (268)
This paper proposes a method to enhance the effectiveness of classifying imbalanced data. The main contribution of the method is integrating the K-means clustering algorithm and the minority oversampling technique VCIR to generate synthetic samples that ...
Phan Anh Phong, Le Van Thanh
doaj +1 more source
Asynchronous Channel Training in Multi-Cell Massive MIMO
Pilot contamination has been regarded as the main bottleneck in time division duplexing (TDD) multi-cell massive multiple-input multiple-output (MIMO) systems. The pilot contamination problem cannot be addressed with large-scale antenna arrays.
Jafarkhani, Hamid, Zou, Xun
core
Abstract Background Children with mild intellectual difficulties (MID) are at increased risk of poor mental health and functional outcomes compared to typically developing children. Previous research has primarily focused on deficit‐based comparisons. However, substantial heterogeneity exists in this population, ranging from significant impairment to ...
Foteini Tseliou +5 more
wiley +1 more source
Abstract Background Previous research has established an association between anxiety disorders and suicidal thoughts and attempts; however, much remains unknown about the role of specific anxiety symptoms, anxiety severity, and the impact of co‐occurring depression and hopelessness.
Marianne G. Chirica +3 more
wiley +1 more source
Impact of Adaptive Synthetic on Naïve Bayes Accuracy in Imbalanced Anemia Detection Datasets
This research aims to analyze the impact of the Adaptive Synthetic (ADASYN) oversampling technique on the performance of the Naïve Bayes classification algorithm on datasets with class imbalance.
Muhammad Khahfi Zuhanda +4 more
doaj +1 more source
Harnessing oversampling in correlation-coded OTDR
7 pages, 8 ...
Ruolin Liao +6 more
openaire +5 more sources
ABSTRACT Intravoxel incoherent motion (IVIM) MRI allows for simultaneous assessment of tissue microcirculation (perfusion) and diffusion of water. In single‐center studies, IVIM has shown great potential for diagnosis, treatment outcome prediction, and treatment monitoring for many different diseases and organs.
Eric E. Sigmund +23 more
wiley +1 more source
ABSTRACT Background Three‐dimensional (3D) MR elastography (MRE) derives viscoelastic parameters that may reflect inflammation, but their frequency dependence and the influence of steatosis on inflammation grading and fibrosis staging remain unclear. Purpose To investigate 3D multifrequency MRE for assessing hepatic inflammation, fibrosis stage across ...
Shan Cai +11 more
wiley +1 more source
The percentage of passing courses is dependent on the assistance provided to students. To ensure the effectiveness of these efforts, identifying students at risk of course failure as early as possible is crucial.
Susana Limanto +2 more
doaj +1 more source
Abstract Objectives To assess associations between the poverty‐income ratio (PIR) and periodontitis severity using Application of the 2018 Periodontal Status Classification to Epidemiological Survey Data (ACES) framework. Methods Three NHANES cycles (2009–2014) with adults aged ≥30 years with complete periodontal examinations (n = 10,598) were included.
Meng Xuan Chen +4 more
wiley +1 more source

