Results 111 to 120 of about 450,675 (283)
Retracted: An Ensemble Deep Learning Model for Automatic Modulation Classification in 5G and Beyond IoT Networks. [PDF]
Intelligence And Neuroscience C.
europepmc +1 more source
Dapagliflozin prevents methylglyoxal‐induced retinal cell death in ARPE‐19 cells
Diabetic macular oedema is a diabetes complication of the eye, which may lead to permanent blindness. ARPE‐19 are human retinal cells used to study retinal diseases and potential therapeutics. Methylglyoxal is a compound increased in uncontrolled diabetes due to elevated blood glucose.
Naina Trivedi +7 more
wiley +1 more source
Feature Fusion Based on Graph Convolution Network for Modulation Classification in Underwater Communication. [PDF]
Yao X, Yang H, Sheng M.
europepmc +1 more source
The inhibition of mitochondrial dihydroorotate dehydrogenase (DHODH) impairs syncytialization and induces cellular senescence via mitochondrial and endoplasmic reticulum stress in human trophoblast stem cells, elevating sFlt1/PlGF levels, a hallmark of placental dysfunction in hypertensive disorders of pregnancy.
Kanoko Yoshida +6 more
wiley +1 more source
Automatic modulation classification models based on deep learning models are at risk of being interfered by adversarial attacks. In an adversarial attack, the attacker causes the classification model to misclassify the received signal by adding carefully
Fanghao Xu +5 more
doaj +1 more source
Radio Modulation Classification Optimization Using Combinatorial Deep Learning Technique
We present an automatic signal modulation classification model using combinatorial deep learning technique. Our proposed deep learning model increase accuracy for low Signal-to-Noise Ratio (SNR) and maintain a high classification accuracy for high SNR ...
Ziad Elkhatib +5 more
doaj +1 more source
Deep Learning-Based Automatic Modulation Classification Using Robust CNN Architecture for Cognitive Radio Networks. [PDF]
Abd-Elaziz OF, Abdalla M, Elsayed RA.
europepmc +1 more source
Digital twins to accelerate target identification and drug development for immune‐mediated disorders
Digital twins integrate patient‐derived molecular and clinical data into personalised computational models that simulate disease mechanisms. They enable rapid identification and validation of therapeutic targets, prediction of drug responses, and prioritisation of candidate interventions.
Anna Niarakis, Philippe Moingeon
wiley +1 more source
Automatic Modulation Classification Using Hybrid Data Augmentation and Lightweight Neural Network. [PDF]
Wang F, Shang T, Hu C, Liu Q.
europepmc +1 more source
Activation of the mitochondrial protein OXR1 increases pSyn129 αSynuclein aggregation by lowering ATP levels and altering mitochondrial membrane potential, particularly in response to MSA‐derived fibrils. In contrast, ablation of the ER protein EMC4 enhances autophagic flux and lysosomal clearance, broadly reducing α‐synuclein aggregates.
Sandesh Neupane +11 more
wiley +1 more source

