Výsledky vyhledávání - "neural network"

AI-driven multi-antenna designs for next generations of wireless communication systems

Autoři: Raja Kumar, Dheeraj

Přispěvatelé: University/Department: Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions

Thesis Advisors: Antón Haro, Carles, Mestre Pons, Francesc X., Rey Micolau, Francesc

Zdroj: TDX (Tesis Doctorals en Xarxa)

Témata: Graph Neural Network, RSMA, Deep Learning, Channel Estimation, Precoding, Symbol Detection, Non-linearity, Àrees temàtiques de la UPC::Enginyeria de la telecomunicació, Àrees temàtiques de la UPC::Informàtica, 621.3 - Enginyeria elèctrica. Electrotècnia. Telecomunicacions, 004 - Informàtica

Popis souboru: application/pdf

Přístupová URL adresa: http://hdl.handle.net/10803/695436
https://dx.doi.org/10.5821/dissertation-2117-443328

Surveillance and prediction of machining results in honing and grinding processes using acoustic emission analysis method

Autoři: Sender, Piotr

Přispěvatelé: University/Department: Universitat Politècnica de Catalunya. Departament d'Enginyeria Mecànica

Thesis Advisors: Buj Corral, Irene

Zdroj: TDX (Tesis Doctorals en Xarxa)

Témata: Honing, Grinding, Abrasive Machining, Neural Network, Matlab, ANFIS, Minitab, Àrees temàtiques de la UPC::Enginyeria mecànica, 621 - Enginyeria mecànica en general. Tecnologia nuclear. Electrotècnia. Maquinària

Popis souboru: application/pdf

Přístupová URL adresa: http://hdl.handle.net/10803/695087
https://dx.doi.org/10.5821/dissertation-2117-439921

Bio-inspired event-driven intelligence for motion estimation

Autoři: Tian, Yi

Přispěvatelé: University/Department: Universitat Politècnica de Catalunya. Institut d'Organització i Control de Sistemes Industrials

Thesis Advisors: Andrade-Cetto, Juan

Zdroj: TDX (Tesis Doctorals en Xarxa)

Témata: Event camera, Motion estimation, Spiking Neural Network (SNNs), Ego-motion, Optical flow, Àrees temàtiques de la UPC::Informàtica, 004 - Informàtica

Popis souboru: application/pdf

Přístupová URL adresa: http://hdl.handle.net/10803/694500
https://dx.doi.org/10.5821/dissertation-2117-430026

Predicting Remaining Useful Life with Sparse Measurement Data

Autoři: Karlsson, Jonas Karlsson, Alexander Bekar, Ebru Turanoglu a další

Zdroj: TPdM-Trustworthy Predictive Maintenance IFAC-PapersOnLine. (10):2736-2741

Témata: ball-bar system, Bayesian deep learning, deep neural network, predictive maintenance, Remaining useful life, Forecasting, Industry 4.0, Learning systems, Machine components, Prediction models, Uncertainty analysis, Ball-bar, Bars system, Bayesian, Learning models, Measurement data, Neural-networks, Remaining useful lives, Deep neural networks, Skövde Artificial Intelligence Lab (SAIL), Virtual Production Development (VPD)

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-25955
https://doi.org/10.1016/j.ifacol.2025.09.460

DropKAN: Dropout Kolmogorov–Arnold Networks

Autoři: Altarabichi, Mohammed Ghaith, 1981

Zdroj: IEEE Access. 13:141609-141618

Témata: Dropout, Dropout Kolmogorov-arnold Networks, Kolmogorov-arnold Networks, Regularization In Neural Networks, Artificial Intelligence, Drops, Learning Systems, Co-adaptation, Dropout Kolmogorov-arnold Network, Kolmogorov, Kolmogorov-arnold Network, Neural-networks, Regularisation, Regularization In Neural Network, Regularization Methods, Chemical Activation

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-57348
https://doi.org/10.1109/ACCESS.2025.3597554

Randomized Explainable Machine Learning Models for Efficient Medical Diagnosis

Autoři: Muhammad, Dost Ahmed, Iftikhar Ahmad, Muhammad Ovais, Associate Professor/Lektor a další

Zdroj: IEEE journal of biomedical and health informatics. 29(9):6474-6481

Témata: Contrastive Learning, Deep learning, Diseases, Federated learning, Explainable AI, Extreme learning machine, Functional links, Healthcare, Learning machines, Neural-networks, Random vector functional link, Random vectors, Randomized neural network, Adversarial machine learning, Computer Science, Datavetenskap

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-102438
https://doi.org/10.1109/JBHI.2024.3491593

MangoLeafXNet: An Explainable Deep Learning Model for Accurate Mango Leaf Disease Classification

Autoři: Rayed, Md. Eshmam Jim, Jamin Rahman Islam, Md Juniadul a další

Zdroj: IEEE Access. 13:93977-94008

Témata: Accuracy, Plant diseases, Computational modeling, Deep learning, Computer architecture, Crops, Mathematical models, Robustness, Real-time systems, Image classification, Image processing, convolutional neural network, mango leaf disease, explainable AI

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-72165
https://doi.org/10.1109/ACCESS.2025.3571450

LEU3: An Attention Augmented-Based Model for Acute Lymphoblastic Leukemia Classification

Autoři: Dutta, M. Uddin Mojumdar, M. Alamgir Kabir, M. a další

Zdroj: IEEE Access. 13:31630-31642

Témata: attention mechanism, Blood cell cancer, convolutional neural networks, deep learning, leukemia disease, Deep neural networks, Diagnosis, Diseases, Lung cancer, Multilayer neural networks, Oncology, Patient treatment, Personalized medicine, Acute lymphoblastic leukaemias, Attention mechanisms, Blood cells, Bone marrow, Convolutional neural network, Peripheral blood smears, Treatment plans

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-70685
https://doi.org/10.1109/ACCESS.2025.3542609

Deep Learning for Detection of Harmful Events in Real-World, Noisy Optical Fiber Deployments

Autoři: Sadighi, Leyla Karlsson, Stefan Natalino Da Silva, Carlos a další

Zdroj: Journal of Lightwave Technology. 43(13):6092-6101

Témata: fully-connected layers, One-Dimension (1D) Convolutional Neural Network (CNN), harmful vibration, nonharmful vibration, Machine Learning (ML), State of Polarization (SOP) variations, eavesdropping, Deep Learning (DL)

Popis souboru: electronic

Přístupová URL adresa: https://research.chalmers.se/publication/545956
https://research.chalmers.se/publication/545956/file/545956_Fulltext.pdf

Self-explaining analysis of facility environments on 2-lane rural roads with an improved lightweight CNN considering drivers’ visual perception

Autoři: Ren, Weixi Yu, Bo Chen, Yuren a další

Zdroj: International Journal of Transportation Science and Technology. 19:99-113

Témata: Improved lightweight convolutional neural network, Road category perception, Self-explaining analysis, Speeding, Drivers’ visual perception characteristics

Popis souboru: electronic

Přístupová URL adresa: https://research.chalmers.se/publication/542530
https://research.chalmers.se/publication/542530/file/542530_Fulltext.pdf

Neuroevolution gives rise to more focused information transfer compared to backpropagation in recurrent neural networks

Autoři: Hintze, Arend, Professor Adami, Christoph

Zdroj: Neural Computing & Applications. 37(2):757-767

Témata: Recurrent neural network, Transfer entropy, Computation, Memory

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:du-44778
https://doi.org/10.1007/s00521-022-08125-0

Detection-Guided Attention for Selective Target Classification Using Radar Micro-Doppler Spectrograms

Autoři: Gusland, Daniel Rolfsjord, Sigmund Ahlberg, Jörgen

Zdroj: IEEE Sensors Journal. 25(8):14370-14378

Témata: Spectrogram, Radar tracking, Target tracking, Doppler effect, Training, Autonomous aerial vehicles, Sensor phenomena and characterization, Convolutional neural networks, Signal to noise ratio, Propellers, Attention, classification, convolutional neural network (CNN), micro-Doppler, multitarget, radar

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-213450
https://doi.org/10.1109/JSEN.2025.3545378

How GNNs Can Be Used in the Vehicle Industry

Autoři: Granado, Felipe Macías Alkhaled, Lama

Zdroj: Artificial Intelligence and Applications. 3(2):161-167

Témata: vehicle intelligence system (VIS), few-shot learning, graph neural network (GNN), vision transformer, Centre - ProcessIT Innovations, Centrumbildning - ProcessIT Innovations

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-108381
https://doi.org/10.47852/bonviewaia42021556

Physics-Informed Neural Network Framework for Wheel-Rail Contact Analysis: Toward an Intelligent Maintenance Workflow in Railway Systems

Autoři: Serafini, Alfredo Kumar, Uday

Zdroj: Academics4Rail PROMET.

Témata: Railway, wheel-rail contact, physics-informed neural network, open-source framework, high-performance computing, intelligent maintenance, Operation and Maintenance Engineering, Drift och underhållsteknik

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-115666
https://ltu.diva-portal.org/smash/get/diva2:2018299/FULLTEXT01.pdf

MaksChroms: An open-source CNN-based tool for dose prediction based on dicentric chromosome assay

Autoři: Głowacki, Maksymilian Bucher, Martin Endesfelder, David a další

Zdroj: Radiation Physics and Chemistry. 239

Témata: Artificial intelligence, Biological dosimetry, Convolutional neural network, Dicentric chromosomes, Gamma radiation, MaksChroms

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-247836
https://doi.org/10.1016/j.radphyschem.2025.113329

Neural dynamics and information transmission: from cortical circuits to the hippocampal modelling

Autoři: Sánchez Claros, Jaime

Thesis Advisors: Mirasso Santos, Claudio Rubén, Canals Gamoneda, Santiago, López Sánchez, Cristóbal

Zdroj: TDX (Tesis Doctorals en Xarxa)

Témata: Neural network modelling, Synchronization, Information transmission, Cortical circuits, Hippocampal dynamics, Synaptic delays, Spiking models, Multicompartmental models, Transcranial alternating current stimulation (tACS), Functional connectivity, Alpha rhythms, Theta rhythms, Gamma rhythms, Pyramidal neurons, Interneurons, Modelització de xarxes neuronals, Sincronització, Tansmissió d'informació, Circuits corticals, Dinàmica de l'hipocamp, Retards sinàptics, Models de spiking, Models multicompartmentals, Estimulació transcranial de corrent alterna (tACS), Connectivitat funcional, Ritmes alfa, Ritmes theta, Ritmes gamma, Neurones piramidals, Interneurones, Modelización de redes neuronales, Sincronización, Transmisión de información, Circuitos corticales, Dinámica del hipocampo, Retrasos sinápticos, Modelos de spiking, Modelos multicompartimentales, Estimulación transcraneal de corriente alterna (tACS), Conectividad funcional, Ritmos alfa, Ritmos theta, Ritmos gamma, Neuronas piramidales, Interneuronas, Física

Popis souboru: application/pdf

Přístupová URL adresa: http://hdl.handle.net/10803/691404

The Role of inhibitory plasticity in the formation and the long-term maintenance of neural assemblies and memories

Autoři: Bergoin, Raphaël

Přispěvatelé: University/Department: Universitat Pompeu Fabra. Departament de Tecnologies de la Informació i les Comunicacions

Thesis Advisors: Quoy, Mathias, Deco, Gustavo, Torcini, Alessandro, Zamora López, Gorka

Zdroj: TDX (Tesis Doctorals en Xarxa)

Témata: Artificial neural network, Spiking neural network, Coupled oscillator, Learning, Adaptation, Plasticity, Inhibition, Synchronization, Long-term memory, Memory consolidation, Modular structure, Spontaneous recall, Multimodality, Recognition, Generation, Red neuronal artificial, Red neuronal de espigas, Osciladores acoplados, Aprendizaje, Adaptación, Plasticidad, Inhibición, Sincronización, Memoria a largo plazo, Consolidación de la memoria, Estructura modular, Recuerdos espontáneos, Multimodalidad sensorial, Reconocimiento, Generación

Popis souboru: application/pdf

Přístupová URL adresa: http://hdl.handle.net/10803/689854

Digital twin-based framework for an efficient execution of CPPS reconfiguration through human–robot collaboration

Autoři: Francesco Giuseppe Ciampi Thierno M.L. Diallo Faïda Mhenni a další

Zdroj: Journal of Manufacturing Systems. 83:157-174

Témata: Cyber physical production system, Reconfiguration, Human robot collaboration, Digital twin, Physics informed neural network, Physics informed neural network, Reconfiguration, Cyber physical production system, Digital twin, Human robot collaboration

Popis souboru: application/pdf

Přístupová URL adresa: https://hdl.handle.net/11588/1010439
https://hdl.handle.net/11588/1010439
https://doi.org/10.1016/j.jmsy.2025.09.001

Egg freshness during storage: the effect of laying hen age and shelf life prediction using a novel hybrid modeling method

Autoři: Yifeng, Lu Jing, Li Zihao, He a další

Zdroj: Journal of Future Foods, Vol 5, Iss 6, Pp 614-627 (2025)
JOURNAL OF FUTURE FOODS

Témata: Agriculture and Food Sciences, Hyperparameter tuning, Back propagation artificial neural network, Shelf life, PERFORMANCE, TP368-456, Hen age, Food processing and manufacture, TIME, ARTIFICIAL NEURAL-NETWORK, SYSTEMS, LAYER, QUALITY, WATER, Egg, Hybrid model

Popis souboru: application/pdf

Přístupová URL adresa: https://doaj.org/article/a6fe365cbe4544d29c26b90b7c54d102
http://doi.org/10.1016/j.jfutfo.2024.11.009
http://hdl.handle.net/1854/LU-01JDQ4F2CF5H7NW1WM8001RBM2
https://biblio.ugent.be/publication/01JDQ4F2CF5H7NW1WM8001RBM2
https://biblio.ugent.be/publication/01JDQ4F2CF5H7NW1WM8001RBM2/file/01JJVWRECHWX4S49GPAS1HFZRR

A Practical PCB-based Framework for Spiking Neural Networks with a Half-Adder Example

Autoři: Cikikci, Sevde Vuslat Orek, Eren Aysoy, Ayhan a další

Zdroj: 2025 21st International Conference on Synthesis, Modeling, Analysis and Simulation Methods, and Applications to Circuits Design (SMACD). :1-4

Témata: Neurons, Spiking Neural Network (SNN), Systems Analysis, Computer Circuits, Neural Networks, Half-Adder, Transistors, Leaky Integrate-and-Fire, Complex Networks, Leaky Integrate-and-Fire Model, Integrate-and-Fire, Leaky Integrate-and-Fire (LIF), Biomimetics, Circuit, PCB-Based, XOR, Lithium Compounds, Spiking Neural Network, NMOS, Adders, PMOS

Přístupová URL adresa: https://hdl.handle.net/20.500.11779/3085
https://doi.org/10.1109/SMACD65553.2025.11092008