Results 91 to 100 of about 46,171 (307)

Solving Simulated Imbalanced Body Performance Data using A-SUWO and Tomek Link Algorithm

Journal of Applied Engineering and Technological Science
This research examines the impact of various sampling techniques on the performance of classification models in the context of imbalanced datasets, employing the body performance dataset as a case study.  Many studies in this field analyze the effect of
Febryan Grady, Joel Rizky Wahidiyat, Abba Suganda Girsang   +2 more
doaj   +1 more source

Ensemble Capsule Network with an Attention Mechanism for the Fault Diagnosis of Bearings from Imbalanced Data Samples

Sensors, 2022
In order to solve the problem of imbalanced and noisy data samples for the fault diagnosis of rolling bearings, a novel ensemble capsule network (Capsnet) with a convolutional block attention module (CBAM) that is based on a weighted majority voting ...
Zengbing Xu, Carman Ka Man Lee, Yaqiong Lv, Jeffery Chan   +3 more
doaj   +1 more source

Classification accuracy and AUROC of different methods for imbalanced datasets.

, 2021
Classification accuracy and AUROC of different methods for imbalanced datasets.
Sadia Sharmin (11529834), Amin Ahsan Ali (11529837), Mohammad Shoyaib (11529840), Md Nazmul Haque (11529831), Abu Ashfaqur Sajib (8351286)   +4 more
core   +1 more source

Aging Is a Key Driver for Adult Acute Myeloid Leukemia

Aging and Cancer, EarlyView.
Acute myeloid leukemia (AML) is a classical age‐related hematologic malignancy, and a key driver of AML is aging, which profoundly regulates intrinsic factors such as genomic instability, epigenetic reprogramming, and metabolic dysregulation, and alters bone marrow microenvironment.
Rong Yin, Haojian Zhang
wiley   +1 more source

Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito, Chiara Meneghini, Alice Galli, Luca Gallo, Pierfrancesco Mitrotti, Paola Dimartino, Marianna Inglese, Cinzia Zatti, Alessandro Lupini, Andrea Pilotto, Alessandro Padovani, Micol Avenali, Enza Maria Valente, Cristina Tassorelli, Silvia P. Caminiti   +14 more
wiley   +1 more source

An Imbalanced R-STDP Learning Rule in Spiking Neural Networks for Medical Image Classification

IEEE Access, 2020
Spiking neural networks (SNNs) have the advantages of inherent power-efficiency, biological plausibility and good image recognition performance. They are good candidates for medical image classification especially when the labeled training data are ...
Qian Zhou, Cong Ren, Saibing Qi
doaj   +1 more source

The model based on data bootstrap for the imbalanced dataset.

, 2012
The model based on data bootstrap for the imbalanced dataset.
Meng Zhao (54299), Rongwei Yu (142049), Juan Liu (6492), Yi Xiong (142047), Yanqing Niu (142046), Wen Zhang (7555)   +5 more
core   +1 more source

Fluid Biomarkers of Disease Burden and Cognitive Dysfunction in Progressive Supranuclear Palsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Identifying objective biomarkers for progressive supranuclear palsy (PSP) is crucial to improving diagnosis and establishing clinical trial and treatment endpoints. This study evaluated fluid biomarkers in PSP versus controls and their associations with regional 18F‐PI‐2620 tau‐PET, clinical, and cognitive outcomes.
Roxane Dilcher, Charles B. Malpas, Stuart J. McDonald, William T. O’Brien, Craig Despott, Kelly L. Bertram, Matthew P. Pase, Lukas Frontzkowski, Meng Law, Terence J. O’Brien, Lucy Vivash   +10 more
wiley   +1 more source

Adaptive Sampling Framework for Imbalanced DDoS Traffic Classification

Sensors
Imbalanced data is a major challenge in network security applications, particularly in DDoS (Distributed Denial of Service) traffic classification, where detecting minority classes is critical for timely and cost-effective defense.
Hongjoong Kim, Deokhyeon Ham, Kyoung-Sook Moon   +2 more
doaj   +1 more source

Raman spectroscopy data analysis with imbalanced dataset.

, 2021
Raman spectroscopy is often used in food industry for analyzing products and their quality. One of the most popular cases in food products analysis is to separate different types or classes of the same product to declare uses, quality or benefit for ...
Vencevičiūtė, Milda,
core