Results 71 to 80 of about 450,675 (283)

A Novel and Efficient Multi-Target Backdoor Attack for Deep Learning-Based Wireless Signal Classifiers

IEEE Access
Deep learning (DL)-based wireless signal classification is increasingly becoming important and deployed on edge devices (e.g., IoT, smartphones, etc.) to enhance communication reliability and efficiency.
Nayan Moni Baishya, B. R. Manoj, Snehashish Karmakar   +2 more
doaj   +1 more source

Automatic Digital Modulation Classification Based on Curriculum Learning

Applied Sciences, 2019
Neural network shows great potential in modulation classification because of its excellent accuracy and achievability but overfitting and memorizing data noise often happen in previous researches on automatic digital modulation classifier.
Min Zhang, Zhongwei Yu, Hai Wang, Hongbo Qin, Wei Zhao, Yan Liu   +5 more
doaj   +1 more source

Transferrin receptor 1‐mediated iron uptake supports thermogenic activation in human cervical‐derived adipocytes

FEBS Letters, EarlyView.
In this study, we found that human cervical‐derived adipocytes maintain intracellular iron level by regulating the expression of iron transport‐related proteins during adrenergic stimulation. Melanotransferrin is predicted to interact with transferrin receptor 1 based on in silico analysis.
Rahaf Alrifai, Mizuki Seo, Gyath Karadsheh, Fachrur Rizal Mahendra, Máté Á Demény, Ferenc Győry, János András Mótyán, László Fésüs, Endre Kristóf, Rini Arianti   +9 more
wiley   +1 more source

Valosin‐containing protein counteracts ATP‐driven dissolution of FUS condensates through its ATPase activity in vitro

FEBS Letters, EarlyView.
Biomolecular condensates formed by fused in sarcoma (FUS) are dissolved by high ATP concentrations yet persist in cells. Using a reconstituted system, we demonstrate that valosin‐containing protein (VCP), an AAA+ ATPase, counteracts ATP‐driven dissolution of FUS condensates through its D2 ATPase activity.
Hitomi Kimura, Shin‐ichi Tate, Kyota Yasuda   +2 more
wiley   +1 more source

Linking neurogenesis, oligodendrogenesis, and myelination defects to neurodevelopmental disruption in primary mitochondrial disorders

FEBS Letters, EarlyView.
Mitochondrial remodeling shapes neural and glial lineage progression by matching metabolic supply with demand. Elevated OXPHOS supports differentiation and myelin formation, while myelin compaction lowers mitochondrial dependence, revealing mitochondria as key drivers of developmental energy adaptation.
Sahitya Ranjan Biswas, Porter L. Tomsick, Alicia M. Pickrell, Paul D. Morton   +3 more
wiley   +1 more source

Autonomous time-frequency cropping and feature-extraction algorithms for classification of LPI radar modulations [PDF]

, 2006
Three autonomous cropping and feature extraction algorithms are examined that can be used for classification of low probability of intercept radar modulations using time-frequency (T-F) images.
Goktun, Sargun, Oruc, Ercan
core  

Over the Air Deep Learning Based Radio Signal Classification

, 2017
We conduct an in depth study on the performance of deep learning based radio signal classification for radio communications signals. We consider a rigorous baseline method using higher order moments and strong boosted gradient tree classification and ...
Clancy, T. Charles, O'Shea, Timothy J., Roy, Tamoghna   +2 more
core   +1 more source

Modulation Classification -- An Unified View

, 1996
Publication in the conference proceedings of EUSIPCO, Trieste, Italy ...
openaire   +2 more sources

Organizing the interface—Plasma membrane architecture and receptor dynamics in virus‐cell interactions

FEBS Letters, EarlyView.
Plasma membranes contain dynamic nanoscale domains that organize lipids and receptors. Because viruses operate at similar scales, this architecture shapes early infection steps, including attachment, receptor engagement, and entry. Using influenza A virus and HIV‐1 as examples, we highlight how receptor nanoclusters, multivalent glycan interactions ...
Jan Schlegel, Christian Sieben
wiley   +1 more source

Spectral Attention-Driven Intelligent Target Signal Identification on a Wideband Spectrum

, 2019
This paper presents a spectral attention-driven reinforcement learning based intelligent method for effective and efficient detection of important signals in a wideband spectrum.
Madanayakey, Arjuna, Mandalz, Soumyajit, Mendis, Gihan, Wei, Jin   +3 more
core   +1 more source