Results 91 to 100 of about 17,994 (253)

LM-GDMAF: A Lightweight Mamba Multimodal Fusion Algorithm for Small-Sample Modulation Recognition

Algorithms
Automatic modulation recognition (AMR) is a key technique in modern communications. We propose LM-GDMAF, which integrates lightweight Mamba modules with a GDMAF fusion module.
Zhaoguang Zhang, Zhenhua Wei, Siming Han, Yuxin Yang, Jianwei Zhan, Wenpeng Wu, Haiyang You, Chenxi Li   +7 more
doaj   +1 more source

Microscale Patterning of Ultrahigh‐Viscosity Metallic‐Polymer Composites via Embedded Droplet Writing

Advanced Functional Materials, EarlyView.
A hybrid additive manufacturing platform integrates direct droplet writing of metallic composite with VAT photopolymerization to fabricate architected soft magnetic composites. This approach enables microscale patterning of high‐viscosity materials for programmable actuators, adaptive fluidic devices, and switchable adhesives, offering tunable ...
Yeowon Yoon, Jian Ni, Sungmo Park, Yang Xu, Yong Chen   +4 more
wiley   +1 more source

Automatic Modulation Recognition via Autoencoder-Driven Amplitude–Phase Interaction Enhancement

Computers
Automatic Modulation Recognition (AMR) is a key technology for spectrum sensing and signal demodulation in cognitive radio systems. Most existing AMR methods use raw In-phase/Quadrature (I/Q) data or direct transformations of I/Q data as neural network ...
Xiaoya Zuo, Zhanxu Cui, Rugui Yao, Ye Fan, Margulan Ibraimov   +4 more
doaj   +1 more source

Advances in Solution‐Processed Textile Triboelectric Nanogenerators: Ink Formation, Processing Strategies, Applications, and Challenges

Advanced Functional Materials, EarlyView.
Advanced ink systems for solution‐processed textile triboelectric nanogenerators are systematically summarized, spanning conductive, tribo‐negative, and tribo‐positive layers. By connecting ink chemistry, deposition methods, and device function, the present review reveals the key governing principles of solution development and highlights practical ...
Xinlong Sun, Stephen Beeby
wiley   +1 more source

MAE‐SigNet: An effective network for automatic modulation recognition

IET Communications
The rapid development of the Internet of Things has exacerbated issues such as spectrum resource scarcity, poor communication quality, and high communication energy consumption. Automatic modulation recognition (AMR), a key technology in cognitive radio,
Shilong Zhang, Yu Song, Shubin Wang
doaj   +1 more source

Designing Vanadium‐Based Oxide Electrocatalysts for Water Splitting: Experimental and Mechanistic Insights with Machine Learning

Advanced Functional Materials, EarlyView.
This review establishes structure‐property‐mechanism relationships across six modification strategies for V‐based oxide water‐splitting electrocatalysts: lattice engineering, heteroatom doping, interface engineering, carbon‐based hybridization, morphology engineering, and surface reconstruction and pre‐catalyst design, where dissolution is reframed as ...
Youness El Issmaeli, Amina Lahrichi, Hoje Chun, Rafael Gómez‐Bombarelli, Bruno G. Pollet   +4 more
wiley   +1 more source

An Adaptive Inhibitory WSe2 Transistor for Retinomorphic In‐Sensor Image Processing

Advanced Functional Materials, EarlyView.
Conventional retinomorphic devices typically require deliberate gate‐bias tuning for each illumination condition. In this paper, we demonstrate an adaptive inhibitory WSe2 transistor that uses photo‐induced regime shift between the subthreshold and accumulation modes to achieve decision‐free, intensity‐adaptive image processing within a single pixel ...
Juhwan Baek, Junhwa Oh, Hyeonjung Kim, Minsik Park, Haein Cho, Jin Young Park, Hyeonchang Son, Taeyun Kim, Sung‐Un An, Yamin Zhang, Hyeon‐Jin Shin, Seyong Oh, Dong‐Ho Kang   +12 more
wiley   +1 more source

Towards explainability for AI-based edge wireless signal automatic modulation classification

Journal of Cloud Computing: Advances, Systems and Applications
With the development of artificial intelligence technology and edge computing technology, deep learning-based automatic modulation classification (AI-based AMC) deployed at edge devices using centralised or distributed learning methods for optimisation ...
Bo Xu, Uzair Aslam Bhatti, Hao Tang, Jialin Yan, Shulei Wu, Nadia Sarhan, Emad Mahrous Awwad, Syam M. S., Yazeed Yasin Ghadi   +8 more
doaj   +1 more source

Genetically Programmed Shape‐Morphing of Engineered Living Materials

Advanced Functional Materials, EarlyView.
Here, bacterial and mammalian engineered living materials (ELMs) are presented, in which living cells direct genetically programmed and enzymatically mediated shape‐morphing. The resulting deformation and shape‐recovery can be actuated in a genetically controlled manner by an ELM incorporating out‐of‐equilibrium counteracting biochemical reactions with
Jan Becker, Yuchen Liu, Miguel Baños, Rosanne Schmachtenberg, Mahmudul Hasan, Claudia Fink‐Straube, Luai R. Khoury, Wilfried Weber   +7 more
wiley   +1 more source

An automatic modulation recognition network based on multi-channel lightweighting

Dianxin kexue
Automatic modulation recognition technology plays an important role in the field of wireless communication. Existing automatic modulation recognition models perform well in recognition accuracy, but most methods have difficulty in achieving an ideal ...
WAN Jinhua, SHANG Junna, ZHANG Huadi
doaj