Results 71 to 80 of about 15,047 (284)

Classificação automática de modulações digitais usando histogramas e máquinas de vetores de suporte [PDF]

, 2014
Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico, Programa de Pós-Graduação em Ciência da Computação, Florianópolis, 2014A rápida expansão de comunicações sem fio tornaram o espectro de rádio frequência um recurso ...
Sorato, Edson
core  

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

Advanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer, Christopher Mai, Luca Eisentraut, Andreas Bund, Ricardo Buettner   +4 more
wiley   +1 more source

Heterodyne-Based Detection Approach for Future Generation Fiber-Wireless Communication Links With the Aid of Machine Learning

IEEE Access
Observing the evolution of mobile communication networks across successive generations, frequency band allocation has progressively expanded both in quantity and frequency.
Guo Hao Thng, Said Mikki
doaj   +1 more source

The Importance of Data in RF Machine Learning

, 2022
While the toolset known as Machine Learning (ML) is not new, several of the tools available within the toolset have seen revitalization with improved hardware, and have been applied across several domains in the last two decades. Deep Neural Network (DNN)
Clark, William Henry IV
core  

Liquid Phase Transmission Electron Microscopy: A Window into the Early Stages of Complex Material Formation

Advanced Functional Materials, EarlyView.
Liquid‐phase transmission electron microscopy enables direct observation of nucleation and growth processes in solution. This review is dedicated to the remembrance of Helmut Cölfen and highlights recent studies on complex materials—oxides, biominerals, organic–inorganic crystals—which were central to his research activity. It summarizes key milestones,
Charles Sidhoum, Vinavadini Ramnarain, Nathaly Ortiz Peña, Dris Ihiawakrim, Clément Sanchez, Ovidiu Ersen   +5 more
wiley   +1 more source

Tangled Program Graph for Radio-Frequency Fingerprint Identification

, 2023
International audienceThis paper proposes to use Tangled Program Graph (TPG) for Radio Frequency Fingerprint (RFF) identification. RFF is a unique signature created by electromagnetic distortions of the different radio frequency hardware components in ...
Gerzaguet, Robin, Gautier, Matthieu, Boyer, Baptiste, Desnos, Karol, Chillet, Alice   +4 more
core   +2 more sources

Adversarial Machine Learning for Image-Based Radio Frequency Fingerprinting: Attacks and Defenses

IEEE Communications Magazine
Image-based radio frequency fingerprinting (RFF) is a promising variant of traditional RFF systems. As a distinctive feature, such systems convert physical-layer signals into matrices resembling 2-D or 3-D images and consider the latter as the input for state-of-the-art image classifiers.
Lorenzo Papangelo, Maurizio Pistilli, Savio Sciancalepore, Gabriele Oligeri, Giuseppe Piro, Gennaro Boggia   +5 more
openaire   +1 more source

Achieving High ON State Current through Ferroelectric Polarization‐Dependent Interfacial Resistance Switching in Undoped Orthorhombic HfO2 Films

Advanced Functional Materials, EarlyView.
Ferroelectric tunnel junction devices based on epitaxial undoped ferroelectric HfO2 films demonstrate stable switching endurance of over 106 switching cycles, low write voltages of ±3 V, 16 measured resistance states, and neuromorphic capability.
Markus Hellenbrand, Nuno Estrócio, Ji S. Kim, Babak Bakhit, Marian C. Istrate, Corneliu Ghica, Tiago Rebelo, Nives Strkalj, Abin Varghese, Bernardo Almeida, Luís S. Marques, Bipin Rajendran, Judith L. MacManus‐Driscoll, José P. B. Silva   +13 more
wiley   +1 more source

Predicting low ionospheric parameters and low frequency sky wave propagation strength using machine learning

Scientific Reports
Studying the propagation prediction of low-frequency (LF) radio waves is very significant for supporting applications in fixed and mobile long-distance communication, remote navigation, and timing service. Therefore, to enhance the predicting accuracy of
Jian Wang, Chengsong Duan, Qiao Yu, Cheng Yang   +3 more
doaj   +1 more source

Development of a Model for Detecting Spectrum Sensing Data Falsification Attack in Mobile Cognitive Radio Networks Integrating Artificial Intelligence Techniques

Algorithms
Mobile Cognitive Radio Networks (MCRNs) have emerged as a promising solution to address spectrum scarcity by enabling dynamic access to underutilized frequency bands assigned to Primary or Licensed Users (PUs). These networks rely on Cooperative Spectrum
Lina María Yara Cifuentes, Ernesto Cadena Muñoz, Rafael Cubillos Sánchez   +2 more
doaj   +1 more source