Suchergebnisse - "Neural networks (Computer science)"

Advanced Machine Learning for EELS Spectroscopy: Magnetic Characterization, Classification and Data Generation

Autoren: Pozo Bueno, Daniel del

Weitere Verfasser: University/Department: Universitat de Barcelona. Departament d'Enginyeria Electrònica i Biomèdica

Thesis Advisors: Peiró Martínez, Francisca, Estradé Albiol, Sònia

Quelle: TDX (Tesis Doctorals en Xarxa)

Schlagwörter: Espectroscòpia de pèrdua d'energia d'electrons, Espectroscopía por pérdidas de energía de electrones, Electron energy loss spectroscopy, Microscòpia electrònica d'escombratge, Microscopía electrónica de barrido, Scanning electron microscopy, Aprenentatge automàtic, Aprendizaje automático, Machine learning, Xarxes neuronals (Informàtica), Redes neuronales (Informática), Neural networks (Computer science), Ciències Experimentals i Matemàtiques

Dateibeschreibung: application/pdf

Zugangs-URL: http://hdl.handle.net/10803/693574

In-flight fatigue crack monitoring of an aircraft engine cowling

Autoren: Vaughn, Samuel Gordon Eric v. K. Hill Frank J. Radosta et al.

Schlagworte: Airplanes Motors Cowlings., Multivariate analysis., Composite materials., Neural networks (Computer science), Analyse multivariée., Composites., Réseaux neuronaux (Informatique), composite material., Airplanes Motors Cowlings, Composite materials, Multivariate analysis, Neural networks (Computer science)

URL: https://commons.erau.edu/db-theses/222

Fatigue life prediction of edge-welded metal bellows using neural networks and multiple linear regression

Autoren: Ballard, David L. W. Eric v. K. Hill Deborah M. Osborne et al.

Schlagworte: Acoustic emission testing., Neural networks (Computer science), Regression analysis., Contrôle par émission acoustique., Réseaux neuronaux (Informatique), Analyse de régression., Acoustic emission testing, Neural networks (Computer science)

URL: https://commons.erau.edu/db-theses/14

Speaker dependent voice recognition with word-tense association and part-of-speech tagging

Autoren: Ernst, Theodore Philip King, Ernst, Theodore Philip King

Schlagworte: Automatic speech recognition., Natural language processing (Computer science), Speech processing systems., Neural networks (Computer science), Hidden Markov models., Reconnaissance automatique de la parole., Traitement automatique des langues naturelles., Traitement automatique de la parole., Réseaux neuronaux (Informatique), Modèles de Markov cachés., Automatic speech recognition, Natural language processing (Computer science)

URL: http://commons.erau.edu/edt/272

Classification of acoustic emission signals from an aluminum pressure vessel using a self-organizing map

Autoren: Thornton, Weldon Paul Eric v. K. Hill Frank Radosta et al.

Schlagworte: Acoustic emission testing., Self-organizing maps., Pressure vessels Testing., Aluminum., Neural networks (Computer science), Contrôle par émission acoustique., Cartes auto-organisatrices., Aluminium., Réseaux neuronaux (Informatique), aluminum (metal), Acoustic emission testing, Aluminum, Pressure vessels Testing, Self-organizing maps

URL: https://commons.erau.edu/db-theses/198

Towards Efficient and Realistic Animation of 3D Garments with Deep Learning

Autoren: Bertiche Argila, Hugo

Weitere Verfasser: University/Department: Universitat de Barcelona. Facultat de Matemàtiques

Thesis Advisors: Escalera Guerrero, Sergio, Madadi, Meysam

Quelle: TDX (Tesis Doctorals en Xarxa)

Schlagwörter: Aprenentatge automàtic, Aprendizaje automático, Machine learning, Xarxes neuronals (Informàtica), Redes neuronales (Informática), Neural networks (Computer science), Visualització tridimensional, Sistemas de imágenes tridimensionales, Three-dimensional display systems, Animació per ordinador, Animación por ordenador, Computer animation, Indumentària, Traje, Costume, Ciències Experimentals i Matemàtiques

Dateibeschreibung: application/pdf

Zugangs-URL: http://hdl.handle.net/10803/688990

Aleatoric Uncertainty Modelling in Regression Problems using Deep Learning

Autoren: Brando Guillaumes, Axel

Weitere Verfasser: University/Department: Universitat de Barcelona. Departament de Matemàtiques i Informàtica

Thesis Advisors: Vitrià i Marca, Jordi, Rodríguez Serrano, José Antonio

Quelle: TDX (Tesis Doctorals en Xarxa)

Schlagwörter: Incertesa (Teoria de la informació), Incertidumbre (Teoría de la información), Uncertainty (Information theory), Aprenentatge automàtic, Aprendizaje automático, Machine learning, Xarxes neuronals (Informàtica), Redes neuronales (Informática), Neural networks (Computer science), Teoria de la predicció, Teoría de la previsión, Prediction theory, Ciències Experimentals i Matemàtiques

Dateibeschreibung: application/pdf

Zugangs-URL: http://hdl.handle.net/10803/675935

A methodology for the prediction of the empennage in-flight loads of a general aviation aircraft using backpropagation neural networks

Autoren: Marciniak, Maciej David Kim Eric v. K. Hill et al.

Schlagworte: Neural networks (Computer science), Back propagation (Artificial intelligence), Airplanes Tail surfaces., Strains and stresses., Réseaux neuronaux (Informatique), Rétropropagation (Intelligence artificielle), Avions Empennages., Contraintes (Mécanique), Airplanes Tail surfaces, Back propagation (Artificial intelligence), Neural networks (Computer science), Strains and stresses

URL: https://commons.erau.edu/db-theses/260

Classification of in-flight fatigue cracks in aircraft structures using acoustic emission and neural networks

Autoren: Rovik, Christopher Lee Eric v. K. Hill Frank J. Radosta et al.

Schlagworte: Acoustic emission testing., Neural networks (Computer science), Composite materials., Multivariate analysis., Contrôle par émission acoustique., Réseaux neuronaux (Informatique), Composites., Analyse multivariée., composite material., Acoustic emission testing, Composite materials, Multivariate analysis, Neural networks (Computer science)

URL: https://commons.erau.edu/db-theses/231

Detection of fatigue crack growth in a simulated aircraft fuselage

Autoren: Marsden, Michael Lee Eric v. K. Hill Frank J. Radosta et al.

Schlagworte: Airplanes Fuselage Testing., Airframes Fatigue., Acoustic emission testing., Neural networks (Computer science) Applications., Structural health monitoring., Cellules (Aéronautique) Fatigue., Contrôle par émission acoustique., Surveillance de l'état des structures., Airframes Fatigue, Airplanes Fuselage Testing

URL: https://commons.erau.edu/db-theses/133

An ameliorated prediction of the empennage in-flight gust loads for a general aviation aircraft

Autoren: Marchand, Philippe David Kim Eric v. K. Hill et al.

Schlagworte: Airplanes Tail surfaces Design and construction., Aerodynamic load., Gust loads., Strains and stresses., Neural networks (Computer science) Applications to aerodynamics., Charge aérodynamique., Contraintes (Mécanique), Aerodynamic load, Gust loads, Strains and stresses

URL: https://commons.erau.edu/db-theses/261

Deep Neural Networks Methods for Estimating Market Microstructure and Speculative Attacks Models: The case of Government Bond Market

Schlagwörter: Neural networks (Computer science), Hedge funds, Public debt, Fons especulatius, Bonds, Market economy, Xarxes neuronals (Informàtica), Bons, Economia de mercat, Deute públic

Dateibeschreibung: application/pdf

Zugangs-URL: https://hdl.handle.net/2445/222926

AMultiple Diffusion Color Image Encryption Algorithm based on 6D Cellular Neural Networks.

Autoren: Ziwei Zhou Wenxia Xu Xiangkun Chen et al.

Quelle: Journal of Imaging Science & Technology; Jul/Aug2025, Vol. 69 Issue 4, p1-14, 14p

Schlagwörter: CELLULAR neural networks (Computer science), IMAGE encryption, DATA encryption, INFORMATION technology security, DIFFUSION kinetics

A Spatio-Temporal-Based Concept for Associative Memory Modeling with Memristors

Autoren: Chatzipaschalis, Ioannis Tompris, Ioannis Stavroulakis, Emmanouil et al.

Quelle: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)

Schlagwörter: Neural networks (Computer science), Àrees temàtiques de la UPC::Informàtica::Hardware, Hardware, Memristive oscillator, Associative memory, Spatio-temporal patterns, Xarxes neuronals (Informàtica), Memristors

Dateibeschreibung: application/pdf

Zugangs-URL: https://hdl.handle.net/2117/414142
https://doi.org/10.1109/nano61778.2024.10628936

A Feedforward Neural Network for ESA CCI Soil Moisture Disaggregation

Autoren: Portal González, Gerard Vall-Llossera Ferran, Mercedes Magdalena López Martínez, Carlos et al.

Quelle: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)

Schlagwörter: Neural networks (Computer science), Feedforward neural network, Disaggregation, Climate change Initiative, Earth temperature, Xarxes neuronals (Informàtica), Soil moisture -- Measurement, Geotèrmia, Sentinel-2, Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Satèl·lits i ràdioenllaços, Sòls -- Humitat -- Mesurament

Dateibeschreibung: application/pdf

A new classification of gamma-ray bursts and its cosmological implications

Autoren: Balastegui Manso, Andreu

Weitere Verfasser: University/Department: Universitat de Barcelona. Departament d'Astronomia i Meteorologia

Thesis Advisors: andreu.balastegui@upc.edu, Canal, Ramon, Ruiz Lapuente, Ma. Pilar

Quelle: TDX (Tesis Doctorals en Xarxa)

Schlagwörter: Astrofísica, Astrophysics, Astronomia de raigs gamma, Astronomía de rayos gamma, Gamma ray astronomy, Cosmologia, Cosmología, Cosmology, Anàlisi de conglomerats, Análisis Cluster, Cluster analysis, Xarxes neuronals (Informàtica), Redes neuronales (Informática), Neural networks (Computer science), Ciències Experimentals i Matemàtiques

Dateibeschreibung: application/pdf

Zugangs-URL: http://hdl.handle.net/10803/674769

A Graph Neural Network Approach for Solving the Ranked Assignment Problem in Multi-Object Tracking

Autoren: Robin Dehler Martin Herrmann Jan Strohbeck et al.

Quelle: 2024 IEEE Intelligent Vehicles Symposium (IV). :2646-2652

Schlagwörter: Deep learning (Machine learning), Zuordnungsproblem, Deep learning, Computational modeling, Graph Neural Network, Data Accuracy, Graph neural networks, Data Association, Neural networks (Computer science), Predictive models, Assignment problems (Programming), Deep Learning, Tracking (Engineering), Filtering algorithms, Accuracy, Prediction algorithms

Dateibeschreibung: application/pdf

Zugangs-URL: http://nbn-resolving.de/urn:nbn:de:bsz:289-oparu-53502-1
https://doi.org/10.18725/OPARU-53426

Multi-Objective Hardware-Mapping Co-Optimisation for Multi-DNN Workloads on Chiplet-Based Accelerators

Autoren: Abhijit Das Enrico Russo Maurizio Palesi et al.

Weitere Verfasser: Abhijit Das Enrico Russo Maurizio Palesi et al.

Quelle: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)

Schlagwörter: FOS: Computer and information sciences, Pareto optimization, accelerator, Energia -- Consum, Processor scheduling, design space exploration (DSE), Accelerator, 02 engineering and technology, 7. Clean energy, Neural networks (Computer science), Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors, Hardware-mapping co-optimisation, Deep Neural Network (DNN), Hardware Architecture (cs.AR), 0202 electrical engineering, electronic engineering, information engineering, Xarxes neuronals (Informàtica), Chiplets, Computer Science - Hardware Architecture, Metaverse, Artificial neural networks, Design Space Exploration (DSE), Scalability, Deep neural network (DNN), Costs, Energy consumption, hardware-mapping co-optimisation

Dateibeschreibung: application/pdf

Zugangs-URL: http://arxiv.org/abs/2210.14657
https://hdl.handle.net/2117/410277
https://doi.org/10.1109/tc.2024.3386067

Memristor-regulated multi-scrolls generation method in a cellular neural network.

Autoren: Wu, Huagan Wang, Wentao Wang, Ning et al.

Quelle: AEU: International Journal of Electronics & Communications. Nov2025, Vol. 201, pN.PAG-N.PAG. 1p.

Schlagwörter: *MEMRISTORS, *CELLULAR neural networks (Computer science), *ELECTRIC circuit analysis, *IMAGE encryption, *EQUILIBRIUM, *ELECTROMAGNETIC radiation, *DYNAMICAL systems, *STABILITY theory

Safety-Relevant AI-Based System Robustification with Neural Network Ensembles

Autoren: Aldomà Coll, Adrià Brando Guillaumes, Axel Cazorla Almeida, Francisco Javier et al.

Quelle: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)

Schlagwörter: Neural networks (Computer science), Functional safety, Deep learning (Machine learning), Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial, Xarxes neuronals (Informàtica), Ensembles, Robustness, Aprenentatge profund

Dateibeschreibung: application/pdf

Zugangs-URL: https://hdl.handle.net/2117/414441
https://doi.org/10.1109/iolts60994.2024.10616095