Results 71 to 80 of about 11,738,094 (251)

An improved hide-and-seek augmentation technique for image classification using convolutional neural networks

Journal of Electrical Systems and Information Technology
In various machine learning tasks, including image classification, data augmentation is widely used to expand the training dataset and prevent overfitting.
Wisdom Nagaye, Yaw Afriyie, Sulemana Bankuoru Egala   +2 more
doaj   +1 more source

Sign Language Detection Models using Resnet-34 and Augmentation Techniques

International Journal of Applied Sciences and Smart Technologies
For deaf or hard of hearing people, sign language is a primary means of communication, but low public understanding makes social engagement difficult. Researchers now use computer vision technology and Convolutional Neural Network (CNN) to detect sign ...
Rizki Ramdhan Hilal, Aradea Aradea, Vega Purwayoga   +2 more
doaj   +1 more source

Structural and biochemical insights into the thermostable esterase Ta0887 from Thermoplasma acidophilum

FEBS Open Bio, EarlyView.
In this study, a novel esterase from the thermoacidophilic archaeon Thermoplasma acidophilum was biochemically and structurally characterized. Our results demonstrate that Ta0887 is a highly thermostable esterase that preferentially hydrolyzes p‐nitrophenyl hexanoate and possesses an α‐helical cap domain that likely contributes to its substrate ...
Alejandro Delgado‐Rey, Miriam Livier Llamas‐García, Gabriela M. Montero‐Morán, Leticia Santos, Samuel Lara‐González   +4 more
wiley   +1 more source

BCG vaccination potentiates oxidative phosphorylation in neonatal myeloid‐derived suppressor cells

FEBS Open Bio, EarlyView.
BCG vaccination enhances oxidative phosphorylation in neonatal MDSCs, impairing their immunosuppressive function. It upregulates electron transport chain genes and mitochondrial activity, increasing ATP and oxygen consumption. Pharmacological OXPHOS inhibition partially restores suppressive capacity, confirming causality.
Yingying Chen, Hui Li
wiley   +1 more source

High-Resolution Medical Image Generation With Leak-Prevention Mechanism Using Quantum Transformer Learning

IEEE Access
A high-performance computer-aided diagnosis (CAD) system enhances diagnostic accuracy, enabling early detection and treatment. However, limited medical image datasets and low-quality augmentation methods hinder training, affecting CAD performance.
Ahmad Khawaji, R. John Martin, D. Daspin
doaj   +1 more source

The C‐terminal truncated splicing variant of NK1R negatively modulates substance P‐stimulated NK1R signaling

FEBS Open Bio, EarlyView.
The neurokinin 1 receptor exists as full‐length (NK1L) and C‐terminally truncated (NK1S) splice variants. We show that NK1S heterodimerizes with NK1L, impairing Gαq coupling and Ca2+ mobilization while enhancing β‐arrestin1 recruitment. NK1S suppresses substance P‐driven gene expression and cell migration, revealing NK1S as an endogenous biased ...
Lan Phuong Nguyen, Duc Trung Nguyen, Minyoung Cho, Jihun Kim, Soyeon In, Thai Uy Nguyen, Sunghoon Hurh, Beom Jin Park, Jong‐Ik Hwang   +8 more
wiley   +1 more source

Adaptive data augmentation for image classification [PDF]

Data augmentation is the process of generating samples by transforming training data, with the target of improving the accuracy and robustness of classifiers.
Samulowitz, Horst, Fawzi, Alhussein, Turaga, Deepak, Frossard, Pascal   +3 more
core   +2 more sources

data augmentation for chromosomes classification [PDF]

, 2023
openUtilizzo di diversi tipi di data augmentation per ottenere migliori prestazioni durante la classificazione di cromosomi con rete ...
GUGLIELMO, NICOLAS
core  

Chronobiology of Cancer: How Aging Fuels Oncogenesis at the Molecular Level

Aging and Cancer, EarlyView.
This graphical abstract illustrates the key biological pathways linking aging with cancer development and progression. In the upper left, cumulative exposure to ultraviolet radiation, toxins, and reactive oxygen species (ROS) causes DNA damage and genomic instability, whereas age‐related decline in repair mechanisms, such as ATM/ATR, BER, and NER ...
Anu Singh, Aroonima Misra, Sufian Zaheer
wiley   +1 more source

A survey on Image Data Augmentation for Deep Learning

Journal of Big Data, 2019
Deep convolutional neural networks have performed remarkably well on many Computer Vision tasks. However, these networks are heavily reliant on big data to avoid overfitting. Overfitting refers to the phenomenon when a network learns a function with very
Connor Shorten, Taghi M. Khoshgoftaar
doaj   +1 more source