Results 61 to 70 of about 252,636 (309)

Data augmentation scheme for federated learning with non-IID data

Tongxin xuebao, 2023
To solve the problem that the model accuracy remains low when the data are not independent and identically distributed (non-IID) across different clients in federated learning, a privacy-preserving data augmentation scheme was proposed.Firstly, a data ...
Lingtao TANG, Di WANG, Shengyun LIU
doaj   +2 more sources

LLM-Based Persona-Driven Text Data Augmentation

IEEE Access
Illicit online communication, such as drug-dealing dialogues, is increasingly conducted through covert, context dependent language patterns that evade traditional detection techniques in South Korea.
Hyeon Seong Jeong, Han Kyeong Ko, Soo Yong Park, Taehoon Kim   +3 more
doaj   +1 more source

Adversarial Data Augmentation on Breast MRI Segmentation

Applied Sciences, 2021
The scarcity of balanced and annotated datasets has been a recurring problem in medical image analysis. Several researchers have tried to fill this gap employing dataset synthesis with adversarial networks (GANs).
João F. Teixeira, Mariana Dias, Eva Batista, Joana Costa, Luís F. Teixeira, Hélder P. Oliveira   +5 more
doaj   +1 more source

ABL kinase‐dependent phosphorylation of SH proteins promotes their direct interaction with CRK family SH2 domains

FEBS Letters, EarlyView.
CT10 regulator of kinase (CRK) and CRK‐Like (CRKL) are signaling adaptors driving cell adhesion, motility, differentiation, and proliferation. SH2‐domain containing (SH) proteins are enriched in YXXP motifs which when phosphorylated create preferred binding sites for CRK family SH2 domains.
Phoebe M. Cousens, Brendan W. Chandler, Anna M. Schmoker, Jaye L. Weinert, Charlotte A. Kearns, Warren T. Yacawych, Amila Šemić, Alicia M. Ebert, Bryan A. Ballif   +8 more
wiley   +1 more source

Adversarial Action Data Augmentation for Similar Gesture Action Recognition

, 2019
Human gestures are unique for recognizing and describing human actions, and video-based human action recognition techniques are effective solutions to varies real-world applications, such as surveillance, video indexing, and human-computer interaction ...
Michael Blumenstein, Shirui Pan, Long, Guodong, Di Wu, Pan, Shirui, Sharma, Nabin, Chen, Junjun, Wu, Di, Junjun Chen, Nabin Sharma, Guodong Long, Blumenstein, Michael   +11 more
core   +1 more source

Natural Data-augmentation for Skin Lesions (ISIC-2017 Challenge Dataset)

, 2019
Data augmentation techniques may mitigate many limitations of datasets, such as imbalanced data among the classes of skin lesions and heterogeneous sources of data, by adding augmented samples with different image transformations, such as rotation ...
Goyal, M (via Mendeley Data)
core   +2 more sources

Spectral image data aggregation for multisource data augmentation

European Journal of Remote Sensing
Multispectral and hyperspectral images are increasingly popular in different research fields, such as remote sensing, astronomical imaging, or precision agriculture.
R. I. Luca, A. Baicoianu, I. C. Plajer
doaj   +1 more source

TRAIL‐PEG‐Apt‐PLGA nanosystem as an aptamer‐targeted drug delivery system potential for triple‐negative breast cancer therapy using in vivo mouse model

Molecular Oncology, EarlyView.
Aptamers are used both therapeutically and as targeting agents in cancer treatment. We developed an aptamer‐targeted PLGA–TRAIL nanosystem that exhibited superior therapeutic efficacy in NOD/SCID breast cancer models. This nanosystem represents a novel biotechnological drug candidate for suppressing resistance development in breast cancer.
Gulen Melike Demirbolat, Aslihan Kucuk, Omer Erdogan, Samed Ozer, Bensu Kozan, Tugba Cuceli, Erkan Gumus, Evrim Cevik, Ozge Cevik   +8 more
wiley   +1 more source

Optimizing Rice Plant Disease Classification Using Data Augmentation with GANs on Convolutional Neural Networks

Intensif: Jurnal Ilmiah Penelitian Teknologi dan Penerapan Sistem Informasi
Background: Rice disease classification using CNN models faces challenges due to limited data, particularly in minority classes, and inconsistent image quality, which affect model performance.
Tinuk Agustin, Indrawan Ady Saputro, Mochammad Luthfi Rahmadi   +2 more
doaj   +1 more source

IMPDH inhibition enhances cytarabine efficacy in SAMHD1‐expressing leukaemia cells via guanine nucleotide depletion

Molecular Oncology, EarlyView.
Cytarabine is a key therapy for acute myeloid leukaemia (AML), but its efficacy is limited by the dNTPase SAMHD1, which hydrolyses its active metabolite. Screening nucleotide biosynthesis inhibitors revealed that IMPDH inhibitors selectively sensitise SAMHD1‐proficient AML cells to cytarabine.
Miriam Yagüe‐Capilla, Christopher Dirks, Caroline Eiden, Sonja K. Fesenmayer, Femke M. Hormann, Yolande Klootsema, Ingrid Lilienthal, Si Min Zhang, Nikolas Herold, Sean G. Rudd   +9 more
wiley   +1 more source