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Ara es mostren els items 54527-54546 de 245486
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Deep Learning per la detecció de senyals de trànsit per vehicles autònoms
(Universitat Politècnica de Catalunya, 2021-10-15)
Treball Final de Grau
Accés restringit per decisió de l'autorDurant les ultimes dues dècades es indubtable e innegable l’avenç i la importància que està prenent l’intel·ligència artificial(IA) i l’anàlisi de dades en la societat actual. Durant els últims 10 anys, s’han perfeccionat ... -
Deep learning phase picking of large-N experiments
(Barcelona Supercomputing Center, 2019-05-07)
Text en actes de congrés
Accés obert -
Deep learning regression for quantitative LIBS analysis
(2023-02)
Article
Accés restringit per política de l'editorialOne of the most promising innovation strategies for sorting and recycling post-consumer aluminium scrap is using quantitative Laser-Induced Breakdown Spectroscopy (LIBS) analysis. However, existing methods to estimate ... -
Deep learning superresolution
(Universitat Politècnica de Catalunya, 2019-04-24)
Projecte Final de Màster Oficial
Accés obert[...] In this work the author makes use of state-of-the-art Super-Resolution methods and denoising methods to try and create a comprehensive solution for all use cases related to digital art restoration. -
Deep learning TCP for mitigating NLoS impairments in 5G mmWave
(2023-08-01)
Article
Accés obert5G and beyond 5G are revolutionizing cellular and ubiquitous networks with new features and capabilities. The new millimeter-wave frequency band can provide high data rates for the new generations of mobile networks but ... -
Deep Learning Techinques for LDPC shortening
(Universitat Politècnica de Catalunya, 2020-08-03)
Treball Final de Grau
Accés obert
Realitzat a/amb: Karlsruher Institut für TechnologieThe idea of this project is, using Deep Learning (DL) techniques, find a way to shorten a Low-Density Parity-Check (LDPC) code. This is possible since a Bipartite Graph has a similar structure to a artificial neuron system ... -
Deep learning techniques for demand-capacity balancing
(Universitat Politècnica de Catalunya, 2023-05-12)
Tesi
Accés obert(English) Nowadays Air Navigation Service Providers (ANSPs) have to handle and accommodate a continuously increasing traffic demand in a scenario that is expected to be more time-efficient and cost-efficient. Meeting the ... -
Deep Learning techniques to predict optimal materials in the design of pallet racking warehouses
(Universitat Politècnica de Catalunya, 2023-06-26)
Treball Final de Grau
Accés restringit per acord de confidencialitat
Realitzat a/amb: MecaluxMecalux, líder global en sistemes d'emmagatzematge automatitzat, fa servir un motor de càlcul per a l'automatització del disseny estructural. Tanmateix, la lenta execució del motor planteja un repte: el de desenvolupar una ... -
Deep learning that scales: leveraging compute and data
(Universitat Politècnica de Catalunya, 2020-12-22)
Tesi
Accés obertDeep learning has revolutionized the field of artificial intelligence in the past decade. Although the development of these techniques spans over several years, the recent advent of deep learning is explained by an increased ... -
Deep learning-based adaptive compression and anomaly detection for smart B5G use cases operation
(2023-01-16)
Article
Accés obertThe evolution towards next-generation Beyond 5G (B5G) networks will require not only innovation in transport technologies but also the adoption of smarter, more efficient operations of the use cases that are foreseen to ... -
Deep Learning-based algorithm for optimizing relay user equipment activation in 5G cellular networks
(Institute of Electrical and Electronics Engineers (IEEE), 2023-10-27)
Article
Accés obertThis paper addresses the problem of optimally using the relay capabilities of user equipment (UE) to augment the radio access network (RAN) in 5G deployments and beyond. This can be particularly useful in coverage constrained ... -
Deep learning-based image analysis methods for the localization and classification of cancer cells in culture
(Universitat Politècnica de Catalunya, 2021-05-14)
Treball Final de Grau
Accés restringit per acord de confidencialitat -
Deep learning-based multi-connectivity optimization in cellular networks
(2022)
Comunicació de congrés
Accés restringit per política de l'editorialMulti-connectivity emerges as a useful feature to handle the traffic in heterogeneous cellular scenarios and fulfill the demanding requirements in terms of data rate and reliability. It allows a device to be simultaneously ... -
Deep Learning-Based Optical Spectrum Analysis for Lightpath Distance Evaluation
(Universitat Politècnica de Catalunya, 2022-06-27)
Projecte Final de Màster Oficial
Accés obertFiber Optics are the backbone of communication, and their security is essential in the present era. In recent years, Machine Learning and Deep Neural Networks have been employed in a wide range of applications for monitoring ... -
Deep learning-based partial transfer fault diagnosis methodology for electromechanical systems
(2023)
Text en actes de congrés
Accés restringit per política de l'editorialRecently, transfer learning technology has provided valuable solutions to problems that are present in machinery with industrial applications. Through the use of transfer learning, basic diagnostic problems have been well ... -
Deep learning-based real-time analysis of lightpath optical constellations [Invited]
(Institute of Electrical and Electronics Engineers (IEEE), 2022-06-01)
Article
Accés obertOptical network automation requires accurate physical layer models, not only for provisioning but also for real-time analysis. In particular, In-Phase (I) and Quadrature (Q) constellation analysis enables deep understanding ... -
Deep learning: creating bridges between DMPs in autoencoders and recurrent neural networks
(Universitat Politècnica de Catalunya, 2017-09-13)
Projecte Final de Màster Oficial
Accés obertThe complexity in modeling human movement increases as the dimensionality of these movement grows. Since searching more precision and flexibility involves more variables in the model. Dynamic Movement Primitives (DMP) ... -
Deep Learning: estudi d'algoritmes per convolucions
(Universitat Politècnica de Catalunya, 2022-01-26)
Treball Final de Grau
Accés obert -
Deep lidar CNN to understand the dynamics of moving vehicles
(Institute of Electrical and Electronics Engineers (IEEE), 2018)
Text en actes de congrés
Accés obertPerception technologies in Autonomous Driving are experiencing their golden age due to the advances in Deep Learning. Yet, most of these systems rely on the semantically rich information of RGB images. Deep Learning solutions ... -
Deep mixed ocean volume in the Labrador Sea in HighResMIP models
(Springer, 2021)
Article
Accés obertSimulations from seven global coupled climate models performed at high and standard resolution as part of the high resolution model intercomparison project (HighResMIP) are analyzed to study deep ocean mixing in the Labrador ...
