Results 81 to 90 of about 820,067 (303)

Predictive Modeling for Fetal Health: A Comparative Study of PCA, LDA, and KPCA for Dimensionality Reduction

IEEE Access
Pregnancy complications significantly impact maternal and fetal health, requiring accurate and timely diagnostic methods for life-saving interventions.
Ariana Deyaneira Jimenez-Narvaez, Victor David Casa Vaca, Jonathan Javier Loor-Duque, Isidro Rafael Amaro Martin, Ivan Galo Reyes-Chacon, Paulina Vizcaino, Manuel Eugenio Morocho-Cayamcela   +6 more
doaj   +1 more source

Deep Internal Learning: Deep learning from a single input

IEEE Signal Processing Magazine
Deep learning, in general, focuses on training a neural network from large labeled datasets. Yet, in many cases there is value in training a network just from the input at hand. This is particularly relevant in many signal and image processing problems where training data is scarce and diversity is large on the one hand, and on the other, there is a ...
Tom Tirer, Raja Giryes, Se Young Chun, Yonina C. Eldar   +3 more
openaire   +2 more sources

CSF Levels of NPTX2 Are Associated With Less Brain Atrophy Over Time in Cognitively Unimpaired Individuals

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Neuronal pentraxin 2 (NPTX2) is a synaptic protein involved in synaptic plasticity and regulation of neuronal excitability. Lower baseline cerebrospinal fluid (CSF) NPTX2 levels have been shown to be associated with an earlier onset of mild cognitive impairment (MCI), a pre‐dementia syndrome, even after CSF Alzheimer's Disease (AD)
Juan P. Vazquez, Corinne Pettigrew, Yuxin Zhu, Claire Anderson, Guray Erus, Christos Davatzikos, Michael Miller, Abhay Moghekar, Sungtaek Oh, Chan‐Hyun Na, Marilyn Albert, Paul Worley, Anja Soldan   +12 more
wiley   +1 more source

Diffusion Tractography Biomarker for Epilepsy Severity in Children With Drug‐Resistant Epilepsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To develop a novel deep‐learning model of clinical DWI tractography that can accurately predict the general assessment of epilepsy severity (GASE) in pediatric drug‐resistant epilepsy (DRE) and test if it can screen diverse neurocognitive impairments identified through neuropsychological assessments.
Jeong‐Won Jeong, Min‐Hee Lee, Hiroshi Uda, Yoon Ho Hwang, Michael Behen, Aimee Luat, Csaba Juhász, Eishi Asano   +7 more
wiley   +1 more source

An open codebase for enhancing transparency in deep learning-based breast cancer diagnosis utilizing CBIS-DDSM data

Scientific Reports
Accessible mammography datasets and innovative machine learning techniques are at the forefront of computer-aided breast cancer diagnosis. However, the opacity surrounding private datasets and the unclear methodology behind the selection of subset images
Ling Liao, Eva M. Aagaard
doaj   +1 more source

Experimental and numerical study of the acoustic performance of a novel composite core thermal break

Case Studies in Construction Materials
This study assesses the acoustic performance of a novel thermal break system with composite cores through both experimental testing and Finite element (FE) analysis. The research explores the effects of varying the thicknesses of key materials, including
Tran-Van Han, Gayoon Lee, Yun-Seong Shin, Sungwoo Woo, Kihak Lee   +4 more
doaj   +1 more source

Research on Automatic Recognition of Casting Defects Based on Deep Learning [PDF]

, 2020
Liming Duan, Ke Yang, Lang Ruan
openalex   +1 more source

Rapid Analysis of Composition of Coal Gangue Based on Deep Learning and Thermal Infrared Spectroscopy [PDF]

, 2022
Liang Song, Ying Yu, Zelin Yan, Dong Xiao, Yongqi Sun, Xuanxuan Zhang, Xingkai Li, Binbin Cheng, Han Gao, Dong Bai   +9 more
openalex   +1 more source

Plasma Proteomic Signatures for Alzheimer's Disease: Comparable Accuracy to ATN Biomarkers and Cross‐Platform Validation

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background There is growing recognition of the potential of plasma proteomics for Alzheimer's Disease (AD) risk assessment and disease characterization. However, differences between proteomics platforms introduce uncertainties regarding cross‐platform applicability.
Manyue Hu, Oliver Robinson, Christina M. Lill, Anna Matton, Raquel Puerta, Pilar Sanz, Merce Boada, Agustín Ruiz, Lefkos Middleton, for the Alzheimer's Disease Neuroimaging Initiative   +9 more
wiley   +1 more source

Assessment of the effectiveness of steel box connector in precast beam–column connection under seismic effect

Case Studies in Construction Materials
The study investigated the seismic performance of steel box connector (SBC) precast beam–column connection specimens using cycling loading test. The cyclic loading tests provided a comprehensive understanding of SBC precast beam–column joint behavior ...
Khoa Vo Anh Pham, Sungwoo Woo, Sung Jig Kim, Hyerim Jo, Gayoon Lee, Kihak Lee   +5 more
doaj   +1 more source