Results 121 to 130 of about 111,551 (360)

Impact of Adaptive Synthetic on Naïve Bayes Accuracy in Imbalanced Anemia Detection Datasets

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
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, Lisya Permata, Hartono, Erianto Ongko, Desniarti   +4 more
doaj   +1 more source

Harnessing oversampling in correlation-coded OTDR

Optics Express, 2019
7 pages, 8 ...
Ruolin Liao, Ming Tang, Can Zhao, Hao Wu, Songnian Fu, Deming Liu, Perry Ping Shum   +6 more
openaire   +5 more sources

Predicting six month follow‐up of suicidal thoughts and attempts among youth with anxiety presenting to an emergency department

JCPP Advances, EarlyView.
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, Lauren O’Reilly, Cheryl A. King, Steven A. Miller   +3 more
wiley   +1 more source

Asynchronous Channel Training in Multi-Cell Massive MIMO

, 2017
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  

Detection of Electricity Theft Behavior Based on Improved Synthetic Minority Oversampling Technique and Random Forest Classifier [PDF]

, 2020
Zhengwei Qu, Hongwen Li, Yunjing Wang, Jiaxi Zhang, Ahmed Abu‐Siada, Yunxiao Yao   +5 more
openalex   +1 more source

Minority oversampling for imbalanced time series classification [PDF]

, 2022
Tuanfei Zhu, Cheng Luo, Zhihong Zhang, Jing Li, Siqi Ren, Yifu Zeng   +5 more
openalex   +1 more source

GLoW SMOTE-D: Oversampling Technique to Improve Prediction Model Performance of Students Failure in Courses

IEEE Access
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, Joko Lianto Buliali, Ahmad Saikhu   +2 more
doaj   +1 more source

Scaling Emerging Healthcare Technology: Managing Paradoxical Tensions in A Connected Health Platform

Journal of Operations Management, EarlyView.
ABSTRACT To address growing geographical disparities in healthcare access and quality, connected health platforms (CHPs) have emerged as promising solutions. However, rapidly scaling CHPs poses significant challenges, particularly in managing tensions among multiple entities.
Yichuan Wang, Minhao Zhang, Jens K. Roehrich, Rui Ma, Yunkai Zhai   +4 more
wiley   +1 more source

Enhanced Diagnosis of Thyroid Diseases Through Advanced Machine Learning Methodologies

Sci
Thyroid disease is a health concern related to the thyroid gland, which is vital for controlling the metabolism of the human body. Predominantly affecting women in their fourth or fifth decades of life, thyroid disease can result in physical and mental ...
Osasere Oture, Muhammad Zahid Iqbal, Xining (Ning) Wang   +2 more
doaj   +1 more source

An Approach for Mining Imbalanced Datasets Combining Specialized Oversampling and Undersampling Methods [PDF]

, 2023
Joanna Jędrzejowicz, Piotr Jędrzejowicz   +1 more
openalex   +1 more source