Results 41 to 50 of about 5,098 (214)

Balancing Stealth and Targetability: cCPP‐ and PEG‐Modified Liposomes for the Targeted Delivery of Anti‐HER2 Nanobodies

open access: yesAdvanced Science, EarlyView.
This study addresses the rapid renal clearance of anti‐HER2 nanobodies by developing specialized liposomal carriers. It details the formulation of dual modified liposomes, demonstrating how PEGylation preserves structural integrity and cell‐penetrating peptides enhance cellular interaction.
Giulia Pander   +14 more
wiley   +1 more source

Pulse time modulation techniques for optical communications: a review

open access: yes, 1993
The principal factor in realising a high-performance bandwidth-efficient fibre communication system at an acceptable cost is the choice of modulation format on the optical carrier.
Ghassemlooy, Zabih   +3 more
core   +1 more source

ABHD17C‐Mediated S‐Depalmitoylation of BCL6B Enhances CD24 Transcription to Resist Macrophage Phagocytosis in Pancreatic Cancer

open access: yesAdvanced Science, EarlyView.
ABHD17C‐mediated depalmitoylation of BCL6B at Cys442 blocks its nuclear import and triggers ubiquitin‐dependent degradation, attenuating transcriptional repression of the anti‐phagocytic signal CD24. This mechanism enables pancreatic cancer cells to evade macrophage phagocytosis and fosters an immunosuppressive microenvironment.
Yalu Zhang   +9 more
wiley   +1 more source

DL-based PRI modulation classification and recognition

open access: yes, 2023
This report presents a comprehensive investigation into the application of Deep Learning (DL) techniques for the classification and recognition of Pulse Repetition Interval (PRI) modulated signals, with a focus on radar and communication systems.
Tey, Kai Hong
core  

A New Receiver Design: Simultaneous Wireless Power Transfer With Modulation Classification

open access: yes, 2020
This work proposes a new simultaneous wireless power transfer and modulation classification (SWPTMC) scheme, appropriate for internet of things (IoT) and military applications.
Gupta, Rahul   +3 more
core   +1 more source

Reconfigurable Selector‐Only Memory (SOM) for Scalable Neuromorphic Computing

open access: yesAdvanced Science, EarlyView.
ABSTRACT Highly scalable reconfigurable neuromorphic devices are critical for addressing continual‐learning challenges in artificial intelligence. However, the scalability of existing reconfigurable devices is severely constrained by limited operating margins and insufficient process maturity.
Jin‐Yu Wen   +7 more
wiley   +1 more source

Multi-task learning based joint pulse detection and modulation classification

open access: yes, 2019
Date of Conference: 24-26 April 2019Conference name: 27th Signal Processing and Communications Applications Conference (SIU), 2019Bu çalışmada, elektronik harp sistemlerindeki sayısal almaç yapıları tarafından toplanan, ortamdaki tehdit radarların ...
Arıkan, Orhan   +3 more
core   +1 more source

A Robust Cooperative Modulation Classification Scheme with Intra sensor Fusion for the Time correlated Flat Fading Channels

open access: yes, 2020
Networks with distributed sensors, e.g. cognitive radio networks or wireless sensor networks enable large-scale deployments of cooperative automatic modulation classification (AMC).
Marković, Goran, Sokolović, Vlada
core   +1 more source

Machine‐Learning‐Enhanced Printed Vertical Magnetoresistive Sensors for Transparent, Flexible, Multimodal Interactive Magnetoelectronics

open access: yesAdvanced Science, EarlyView.
This study presents printed magnetoresistive sensors with a vertically aligned architecture that enables high optical transparency and mechanical flexibility. By integrating deep learning for the analysis of complex spatiotemporal signal patterns, the system further achieves intelligent multimodal interaction capabilities.
Rui Xu   +11 more
wiley   +1 more source

Performance of the wavelet-transform-neural network based receiver for DPIM in diffuse indoor optical wireless links in presence of artificial light interference

open access: yes, 2009
Artificial neural network (ANN) has application in communication engineering in diverse areas such as channel equalization, channel modeling, error control code because of its capability of nonlinear processing, adaptability, and parallel processing.
Ghassemlooy, Zabih   +5 more
core  

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