Zerrendatu Ikerketa-Kongresuak honen arabera: izenburua
379-tik 227-246 emaitza erakusten
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Kernel hautapen dinamikoa Optimizazio Bayesiarrean
(UEU, 2015)In Bayesian Optimization, when using a Gaussian Process prior, some kernels adapt better than others to the objective function. This research evaluates the possibility of dynamically changing the kernel function based on ... -
Konpetentzia digitalaren planteamenduaren azterketa EKI proiektuan
(Udako Euskal Unibertsitatea (UEU), 2017)Ikerketa honen helburuak dira Ikastolen Elkarteak garatu duen EKI ikas-materialean konpetentzia digitala nola jasotzen den ikustea eta materialarekiko ikasle eta irakasleen ahotsak jasotzea. EKI proiektuan baliatu den ... -
Kooperatibismoaren hariak belaunaldi berrietan
(Udako Euskal Unibertsitatea (UEU), 2021)Testuinguru soziolaboral ziurgabe eta aldakorrean Arrasateko Kooperatiba Esperientziak oraindik ere ekoizpen eta enpresa antolaketa eredu alternatibo izaten jarraitzen du. Ordea, modernitatearen alaba zuzena izanik, ... -
Labor Induction failure prediction based on B-Mode Ultrasound Image Processing using Multiscale Local Binary Patterns
(IEEE, 2016)Labor induction is defined as the artificial onset of labor for the purpose of vaginal birth. Cesarean section is one of the potential risks of labor induction as it occurs in about 20% of the inductions. A ripe cervix ... -
Labor Induction failure prediction using Gabor filterbanks and Center Symmetric Local Binary Patterns
(IEEE, 2018)Labor induction is defined as the artificial stimulation of uterine contractions aimed to induce vaginal birth. Occurring in about 20% of pregnancies labor induction has become one the most commonly practiced procedures ... -
Langileen pertzepzioak eta nahiak barne komunikazioari buruz kooperatibetan. Kasu azterketa
(Udako Euskal Unibertsitatea (UEU), 2015)Ikerlan honen helburu nagusia da ezagutzea zelako pertzepzioak eta nahiak dituzten langileek barne komunikazioari buruz kooperatibetan. Horretarako, besteak beste, aztertu da zer pertzepzio duten langileek kooperatibak ... -
Latentziarik gabeko sareko identifikatzaileen aleatorizazioa kontrol industrialerako sistemetan proaktiboki errekonozimendu erasoak mitigatzeko
(UEU, 2023)Kontrol industrialerako sistemak askotariko instalazio industrialetan erabiltzen dira, azpiegitura kritikoetan barne, segurtasun-eraso anitzen helburu nagusi bihurtuz. Sare industrialen konfigurazio eta topologia estatikoek, ... -
Lehen Hezkuntzako ikasleen segurtasun digitala: eskaerak eta konpromisoak #Izandig proiektuaren baitan
(Udako Euskal Unibertsitatea (UEU), 2021)Internet egungo haur zein nerabeen bizitzaren bizkarrezur bilakatu da. Sareak eskaintzen dizkien abantailak ugariak dira, baina arriskuak ere baditu. Online ekintza batzuen ondorioek haur eta nerabeen ongizatea kaltetu ... -
Li-ion Battery State-of-Charge estimation algorithm with CNN-LSTM and Transfer Learning using synthetic training data
(2022)The development of State-of-Charge (SoC) algorithms for Li-ion batteries involves carrying out different laboratory tests with the money and time that this entails. Furthermore, such laboratory labours must typically be ... -
Lithium-ion Battery Aging Prediction with Electrochemical Models: P2D vs SPMe
(IEEE, 2023)Battery aging models are essential tools when predicting how much a battery will age under certain working conditions, which is key when sizing a battery pack and controlling its operation. Nowadays, mostly empirical battery ... -
Loss Measurement of Low RDS Devices Through Thermal Modelling - The Advantage of Not Turning it Fully On
(IEEE, 2023)This paper presents and evaluates a novel method for generating power losses on transistors avoiding high currents. These could heat up the circuit tracks, affecting the accurate thermal modeling of the system. The proposed ... -
Machining behaviour of Ti-6Al-4V and Ti-5553 alloys in interrupted cutting with PVD coated cemented carbide
(Elsevier, 2012)Machining behaviour of Ti-5553, Ti-6Al-4 V mill-annealed (MA) and Ti-6Al-4 V solution treated and aged (STA) alloys was studied in different interrupted cutting operations using PVD coated cemented carbide tools. Single ... -
Magnet eddy current loss calculation method for segmentation analysis on permanent magnet machines
(IEEE, 2011)Eddy current losses generated in the rotor of permanent magnet machines may lead to an excessive magnet heating. This can cause the magnets to get fully demagnetized so it is very important to analyze the losses on them. ... -
Makina Elektrikoen Portaera Bibroakustikoaren Neurketa eta Simulazioa
(UEU, 2015)Noise and vibration of electrical machines is a major concern. Changes in the machine design to improve its ef f iciency can lead to unacceptable vibrations. Tools to predict its vibratory and acoustic performance at the ... -
Mapping human factors in virtual reality: VRUX
(AEIPRO, 2023)Industry 5.0 addresses the technocentric limitations of Industry 4.0 and opts for a more humancentred industry. This affects the different technologies that are already being implemented in manufacturing such as exoskeletons, ... -
El marco de la formación dual universitaria en MU: la transición del modelo de alternancia a la formación dual
(Universidade de Santiago de Compostela, 2018) -
Markatzaile diskurtsiboak ikasle entzuleek espainiar zeinu-hizkuntzan ekoiztutako testuetan
(Udako Euskal Unibertsitatea (UEU), 2015)Ikerketa honek espainiar zeinu-hizkuntzako interpretazioko ikasle entzuleek testuetan erabiltzen dituzten markatzaileak aztertzea du helburu nagusi. Ikasleek erabiltzen dituzten markatzaileak espainiar zeinu-hizkuntzako ... -
MDE based IoT Service to enhance the safety of controllers at runtime
(Aachen University, 2019)One of the challenges for complex IoT software systems is toincrease their safety. A Model Driven Development approach helps in the design and development phase of these systems while runtime checkin gtechniques help to ... -
Mechanical and electrical properties of additively manufactured copper
(IOP Publishing, 2021)Additive Manufacturing (AM) has become the new paradigm of design and production strategies. While structural and functional materials are the most implemented ones, it is also possible to manufacture parts using precious ... -
A meta-learning strategy based on deep ensemble learning for tool condition monitoring of machining processes
(Elsevier, 2023)For Industry 4.0, tool condition monitoring (TCM) of machining processes aims to increase process efficiency and quality and lower tool maintenance costs. To this end, TCM systems monitor variables of interest, such as ...
