Results 91 to 100 of about 97,815 (271)

4D‐Printed Magneto‐Plasmonic Microrobots for Programmable Spatiotemporal De‐Icing

Advanced Functional Materials, EarlyView.
A 4D‐printing strategy is introduced to achieve programmable de‐icing devices. By aligning gold–magnetite nanofillers within a photosensitive resin, the printed structures exhibit dual magnetic and plasmonic functionalities, enabling precise spatio‐temporal ice removal through thermoplasmonic effects.
Amélie Pérot, Andrea Cosola, Eléonore Aïdonidis, Jérôme Fresnais, Clément Sanchez, Philippe Belleville, Giancarlo Rizza, Marco Faustini   +7 more
wiley   +1 more source

Efficient Modulation Recognition by Predictive Correction and Double GRUs via a Lightweight Framework

Applied Sciences
Automatic modulation recognition (AMR) provides excellent performance advantages over conventional algorithms and plays a key role in modern communication.
Bochi Guo, Yu Liu, Hui Zhou, Wei Yan, Shuanggen Zhang   +4 more
doaj   +1 more source

Multi-domain-fusion deep learning for automatic modulation recognition in spatial cognitive radio. [PDF]

Sci Rep, 2023
Hou S, Dong Y, Li Y, Yan Q, Wang M, Fang S.   +5 more
europepmc   +1 more source

Optoelectronic Synaptic Devices Using Molecular Telluride Phase‐Change Inks for Three‐Factor Learning

Advanced Functional Materials, EarlyView.
Optoelectronic synaptic devices based on solution‐processed molecular telluride GST‐225 phase‐change inks are demonstrated for three‐factor learning. A global optical signal broadcast through a silicon waveguide induces non‐volatile conductance updates exclusively in locally electrically flagged memristors.
Kevin Portner, Dhananjeya Kumaar, Giacomo Torti, Killian Keller, Till Zellweger, Florian M. Schenk, Christoph Weilenmann, Daniel Chelladurai, Vara Prasad Jonnalagadda, Ghazi Sarwat Syed, Vanessa Wood, Jürg Leuthold, Alexandros Emboras, Maksym Yarema, Mathieu Luisier   +14 more
wiley   +1 more source

Automatic Modulation Recognition Based on the Optimized Linear Combination of Higher-Order Cumulants. [PDF]

Sensors (Basel), 2022
Hussain A, Alam S, Ghauri SA, Ali M, Sherazi HR, Akhunzada A, Bibi I, Gani A.   +7 more
europepmc   +1 more source

Parallel 3D Bioprinting on SLIPS‐Microarrays

Advanced Functional Materials, EarlyView.
This work introduces the first truly parallel 3D bioprinting method, enabling both the simultaneous fabrication of hundreds of cell laden hydrogel 3D structures and their HTS in individual liquid compartments. By integrating Digital Light Processing (DLP) stereolithography with functional micropatterns, the platform decouples printing time from array ...
Julius von Padberg, Julian A. Serna, Maike Schliephake, Pavel A. Levkin   +3 more
wiley   +1 more source

Long‐Tailed Distributed Radar Emitter Signal Automatic Modulation Recognition Based on Decoupled Training

IET Radar, Sonar & Navigation
The existing radar emitter modulation recognition methods typically assume that the data distribution across different types is balanced. But in reality, the number of signals of various kinds often follows a long‐tail distribution, leading to model ...
Gangyin Sun, Shiwen Chen, Li Zhang, Chaopeng Wu, Haikun Fang   +4 more
doaj   +1 more source

Meniscus Pixel Printing for Contact‐Lens Vision Sensing and Robotic Control

Advanced Functional Materials, EarlyView.
A visual‐sensing contact lens is enabled by meniscus pixel printing (MPP), which rapidly patterns a 200 µm perovskite photodetector pixel in 1 s without masks, vacuum processing, or bulky equipment. A deep‐learning‐based super‐resolution reconstructs sparse on‐lens signals into 80 × 80 high‐resolution visual information, while AI‐driven eye‐tracking ...
Byung‐Hoon Gong, Dohyean Kim, Jiyun Jeong, Taekyeong Kim, Soon‐sung Kwon, Junyoung Seo, Il Jeon, Im Doo Jung   +7 more
wiley   +1 more source

Enhancing Automatic Modulation Recognition for IoT Applications Using Transformers

IoT
Automatic modulation recognition (AMR) is vital for accurately identifying modulation types within incoming signals, a critical task for optimizing operations within edge devices in IoT ecosystems.
Narges Rashvand, Kenneth Witham, Gabriel Maldonado, Vinit Katariya, Nishanth Marer Prabhu, Gunar Schirner, Hamed Tabkhi   +6 more
doaj   +1 more source

Ultralight Signal Classification Model for Automatic Modulation Recognition

CoRR
8 pages, 8 ...
Alessandro Daniele Genuardi Oquendo, Agustín Matías Galante Cerviño, Nilotpal Kanti Sinha, Luc Andrea, Sam Mugel, Román Orús   +5 more
openaire   +2 more sources