Výsledky vyhľadávania - "transfer learning"

Towards generalisable fault detection in smart buildings: hybrid modelling, calibration, and transfer learning strategies

Autori: Martínez Viol, Víctor

Prispievatelia: University/Department: Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica

Thesis Advisors: Romeral Martínez, José Luis, Delgado Prieto, Miquel

Zdroj: TDX (Tesis Doctorals en Xarxa)

Predmety: Eficiència Energètica en Edificis, Sistemes de Climatització (HVAC), Detecció i Diagnòstic de Fallades (FDD), Calibració Automàtica, Modelatge Híbrid, Aprenentatge per Transferència, Sistemas de Climatización (HVAC), Detección y Diagnóstico de Fallos (FDD), Calibración Automática, Modelización Híbrida, Aprendizaje por Transferencia, HVAC Systems, Fault Detection and Diagnosis (FDD), Automatic Calibration, Hybrid Modelling, Transfer Learning, Building Energy Efficiency, Eficiencia Energética en Edificios, Àrees temàtiques de la UPC::Enginyeria electrònica, Àrees temàtiques de la UPC::Edificació, Àrees temàtiques de la UPC::Energies, 621.3 - Enginyeria elèctrica. Electrotècnia. Telecomunicacions, 69 - Materials de construcció. Pràctiques i procediments de construcció, 620 - Assaig de materials. Material comercials. Economia de l'energia

Popis súboru: application/pdf

Prístupová URL adresa: http://hdl.handle.net/10803/695119
https://dx.doi.org/10.5821/dissertation-2117-440544

Advancing Transfer Learning and Control of Generative Image Models

Autori: Laria Mantecón, Héctor

Thesis Advisors: Raducanu , Bogdan Mihai, Gómez Villa, Alexandra, Weijer, Joost van de

Zdroj: TDX (Tesis Doctorals en Xarxa)

Predmety: Xarxes generatives antagònique, Generative adversarial network, Redes generativas antagónicas, Models de difusió, Diffusion models, Modelos de difusión, Aprenentatge per transferència, Transfer learning, Aprendizaje por transferencia, Tecnologies

Popis súboru: application/pdf

Prístupová URL adresa: http://hdl.handle.net/10803/694859

Leveraging classifier-guidance diffusion model for improved surface roughness prediction through synthesized audible sound signal

Autori: Zhu, Yaoxuan Rashid, Amir Österlind, Tomas a ďalší

Zdroj: Procedia CIRP. 134:789-794

Predmety: Guided diffusion model, Audible sound signal, Data augmentation, Surface roughness prediction, Deep transfer learning, Machining, Production Engineering, Industriell produktion

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-368478
https://kth.diva-portal.org/smash/get/diva2:1989412/FULLTEXT01.pdf

Automated assembly quality inspection by deep learning with 2D and 3D synthetic CAD data

Autori: Zhu, Xiaomeng Mårtensson, Pär Hanson, Lars a ďalší

Zdroj: Journal of Intelligent Manufacturing. 36(4):2567-2582

Predmety: Assembly quality inspection, Computer vision, Point cloud, Synthetic data, Transfer learning, Unsupervised domain adaptation, Assembly, Data transfer, Deep learning, Inspection, Learning systems, Assembly quality, Automated assembly, Design data, Domain adaptation, Point-clouds, Quality inspection, Computer aided design, User Centred Product Design, Användarcentrerad produktdesign

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-23777
https://doi.org/10.1007/s10845-024-02375-6

Exploring Cross-Substation Transfer Learning for Improving Cybersecurity in IEC 61850 Substations

Autori: Natvig, Filip Nordstrom, Lars Ericsson, Göran

Zdroj: IEEE Access. 13:119500-119511

Predmety: Substations, IEC Standards, Transfer learning, Taxonomy, Computer security, Protocols, Intrusion detection, Training data, Training, Standards, Cybersecurity, deep learning, IEC 61850, IEC 62351, smart grid security, machine learning

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-564516
https://doi.org/10.1109/ACCESS.2025.3587923

Log detection for autonomous forwarding using auto-annotated data from a real-time virtual environment

Autori: Lehto, Mattias Lideskog, Håkan Karlberg, Magnus

Zdroj: Sustainable Autonomous Material Handling (SAMHand) AutoPlant 3 Journal of terramechanics. 121

Predmety: Transfer learning, Domain generalization, Virtual training, Auto-annotation, Real-time, Logging, Tree harvesting, Forwarder, Cut-to-length, CTL, Machine Design, Maskinkonstruktion

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-114870
https://doi.org/10.1016/j.jterra.2025.101096

Misbehaviour detection and trustworthy collaboration in vehicular communication networks

Autori: Sedar, Mohottige Roshan Madhusanka

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

Thesis Advisors: Alonso Zarate, Jesús, Vázquez Gallego, Francisco, Alonso Zárate, Luis Gonzaga

Zdroj: TDX (Tesis Doctorals en Xarxa)

Predmety: Vehicle-to-everything (V2X) Communication, Internet-of-Vehicles (IoV), Artificial Intelligence (AI), Machine Learning (ML), Reinforcement Learning (RL), Deep Reinforcement Learning (DRL), Transfer Learning (TL), Vehicular Communication, V2X Cybersecurity, Closed-Loop Security, Misbehaviour Detection, Adversarial Defence, Trust Management, Collaborative Misbehaviour Detection, Vehicle Authentication, Comunicació vehicle a tot (V2X), Internet dels vehicles (IoV), Intel ·ligència artificial (IA), Aprenentatge automàtic (ML), Aprenentatge per reforç (RL), Aprenentatge per reforç profund (DRL), Aprenentatge per transferència (TL), Comunicació vehicular, Ciberseguretat V2X, Seguretat de circuit tancat, Detecció de males conductes, Defensa adversarial, Gestió de confiança, Detecció col·laborativa de males conductes, Autenticació de vehicles, Comunicación vehículo a todo (V2X), Internet de los vehículos (IoV), Inteligencia artificial (IA), Aprendizaje automático (ML), Aprendizaje por refuerzo (RL), Aprendizaje por refuerzo profundo (DRL), Aprendizaje por transferencia (TL), Comunicación vehicular, Ciberseguridad V2X, Seguridad de circuito cerrado, Detección de malas conductas, Gestión de confianza, Detección colaborativa de malas conductas, Autenticación de vehículos, Àrees temàtiques de la UPC::Enginyeria de la telecomunicació

Time: 621.3

Popis súboru: application/pdf

Prístupová URL adresa: http://hdl.handle.net/10803/692552
https://dx.doi.org/10.5821/dissertation-2117-418119

Deep learning based methodologies applied to industrial electromechanical systems monitoring

Autori: Arellano Espitia, Francisco

Prispievatelia: University/Department: Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica

Thesis Advisors: Delgado Prieto, Miquel, Osornio Ríos, Roque Alfredo

Zdroj: TDX (Tesis Doctorals en Xarxa)

Predmety: Condition monitoring, Fault diagnosis, Industrial machines, Artificial intelligence, Deep learning, Anomaly detection, Compact clustering, Transfer learning, Domain adaptation, Àrees temàtiques de la UPC::Enginyeria electrònica, Àrees temàtiques de la UPC::Informàtica

Time: 621.3

Popis súboru: application/pdf

Prístupová URL adresa: http://hdl.handle.net/10803/690242
https://dx.doi.org/10.5821/dissertation-2117-403958

COTLEA: COpula-based Transfer Learning Evolutionary Algorithm for Multi-Objective Optimization Problems

Autori: Benali, Fodil de Runz, Cyril Labroche, Nicolas a ďalší

Prispievatelia: Benali, Fodil de Runz, Cyril Labroche, Nicolas a ďalší

Zdroj: Proceedings of the Genetic and Evolutionary Computation Conference Companion. :339-342

Predmety: Copula Theory, Copula Theory Representation learning Transfer Learning Evolutionary Computation, Transfer Learning, [INFO] Computer Science [cs], Evolutionary Computation, Representation learning

Popis súboru: application/pdf

Prístupová URL adresa: https://hal.science/hal-05208227v1
https://doi.org/10.1145/3712255.3726566
https://hal.science/hal-05208227v1/document

Fast and Accurate Multi-Neural Network Ensemble Model

Autori: Nakci, Veli Altun, M.

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

Predmety: Deep Neural Networks, Image Classification, Neural Networks, Transfer Learning Methods, Ensemble Models, High Accuracy, Transfer Learning, Learning Systems, Image Enhancement, Multi-Neural Networks, Ensemble Techniques, Neural Networks Ensemble, Training Time, Ensemble Technique

Prístupová URL adresa: https://hdl.handle.net/20.500.11779/3086
https://doi.org/10.1109/SMACD65553.2025.11091980

Entropy and Memory Aware Active Transfer Learning in Smart Sensing Systems

Autori: Alam, Umair Farhan, Asma Ahmad Kanwal, Summrina a ďalší

Zdroj: IEEE Access. 12:88841-88861

Predmety: Human activity recognition, Real-time systems, Adaptation models, Entropy, Training, Transfer learning, Support vector machines, Machine learning, Internet of Things, Wearable sensors, Active transfer learning (ATL), Human activity recognition (HAR), Internet of Things (IoT), Machine learning (ML), Ubiquitous computing, Wearable sensor devices

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-350904
https://doi.org/10.1109/ACCESS.2024.3412653

Decoding yeast transcriptional regulation via a data-and mechanism-driven distributed large-scale network model

Autori: Xingcun Fan Guangming Xiang Wenbin Liao a ďalší

Zdroj: Synth Syst Biotechnol
Synthetic and Systems Biotechnology, Vol 10, Iss 4, Pp 1140-1149 (2025)

Predmety: Mechanistic and data-driven, TRN, Distributed large-scale neural network, QH301-705.5, S. cerevisiae, Original Research Article, Biology (General), TP248.13-248.65, Transfer learning, Biotechnology

Prístupová URL adresa: https://doaj.org/article/a136949234e945538846ef42a1023530

ECG-based transfer learning for cardiovascular disease: A scoping review

Autori: Sharifah Noor Masidayu Sayed Ismail Siti Fatimah Abdul Razak Nor Azlina Ab Aziz

Zdroj: International Journal of Cognitive Computing in Engineering, Vol 6, Iss, Pp 280-297 (2025)

Predmety: LB1060 Learning, Electronic computers. Computer science, Science, QA75.5-76.95, Cardiovascular disease, Pre-trained, Electrocardiogram, Transfer learning

Popis súboru: text

Prístupová URL adresa: https://doaj.org/article/ab1191ba12244c9fbc7fb61b4b0a8644

Mathematical fusion of efficient transfer learning with fine-tuning model for laryngeal cancer detection and classification in the throat region using biomedical images

Autori: Amer Mahdi F.Al Khulayf Mohammad Alamgeer Marwa Obayya a ďalší

Zdroj: Alexandria Engineering Journal, Vol 129, Iss, Pp 658-671 (2025)

Predmety: Weiner filter, Laryngeal cancer, Throat region images, Deep learning, TA1-2040, Engineering (General). Civil engineering (General), Pelican optimization algorithm, Transfer learning

Prístupová URL adresa: https://doaj.org/article/ad648761cfda41eca279e2b6b0e54fc4

Transfer Learning Strategies for the Enhancement of Point Cloud Semantic Segmentation Processes in Landscape Heritage Contexts

Autori: Cappellazzo,Marco Patrucco,Giacomo Spano,Antonia

Zdroj: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. :47-55

Predmety: Airborne LiDAR, Deep Learning, Semantic Segmentation, Landscape Heritage, Urban Legacies, Fine-tuning, Transfer Learning

Histopathological classification of colorectal cancer based on domain-specific transfer learning and multi-model feature fusion

Autori: Ke, Qi Hum, Yan Chai Yap, Wun-She a ďalší

Zdroj: Scientific Reports. 15

Predmety: Histopathological classification, Colorectal cancer, Transfer learning, Domain-specific models, Feature fusion, Maskininlärning, Machine Learning

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-115411
https://doi.org/10.1038/s41598-025-19134-z

Unified Distributed Machine Learning for 6G Intelligent Transportation Systems: A Hierarchical Approach for Terrestrial and Non-Terrestrial Networks

Autori: Naseh, David Bozorgchenani, Arash Shinde, Swapnil Sadashiv a ďalší

Zdroj: Network. 5(3)

Predmety: federated learning, integrated terrestrial and non-terrestrial networks, intelligent transportation systems, split learning, transfer learning

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-371642
https://doi.org/10.3390/network5030041

An ensemble model based on transfer learning for the early detection of Alzheimer’s disease

Autori: Asghari Varzaneh, Zahra Mousavi, Seyyed Mohammad Khoshkangini, Reza a ďalší

Zdroj: Scientific Reports. 15(1)

Predmety: Alzheimer’s disease, Convolutional neural network, Ensemble learning, Medical imaging, Transfer learning

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-80005
https://doi.org/10.1038/s41598-025-22025-y

The bright side of the moon: transfer learning and creativity in machine learning practice

Autori: Sundberg, Leif Lidberg, William Holmström, Jonny

Zdroj: Creativity Research Journal.

Predmety: machine learning, transfer learning, creativity, hunting pits, conceptual leaps, algorithmic affordances

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-244915
https://doi.org/10.1080/10400419.2025.2565357

From bearings to substations: Transfer Learning for fault detection in district heating

Autori: van Dreven, Jonne Cheddad, Abbas Alawadi, Sadi a ďalší

Zdroj: Energy. 335

Predmety: Deep learning, District heating, Fault detection, Machine learning, Transfer learning

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:bth-28611
https://doi.org/10.1016/j.energy.2025.138016