28   Artículos

 
en línea
Jonathan Lancelot, Bhaskar P. Rimal and Edward M. Dennis    
This paper is designed to explicate and analyze data acquired from experimental field tests of a Tesla Model 3 lane correction module within the vehicle?s Autopilot Suite, a component of Tesla OS. The initial problem was discovered during a nominal drive... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Artemiy Belousov, Ivan Kisel, Robin Lakos and Akhil Mithran    
Algorithms optimized for high-performance computing, which ensure both speed and accuracy, are crucial for real-time data analysis in heavy-ion physics experiments. The application of neural networks and other machine learning methodologies, which are fa... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Juergen Mangler, Joscha Grüger, Lukas Malburg, Matthias Ehrendorfer, Yannis Bertrand, Janik-Vasily Benzin, Stefanie Rinderle-Ma, Estefania Serral Asensio and Ralph Bergmann    
The Internet of Things (IoT) has been shown to be very valuable for Business Process Management (BPM), for example, to better track and control process executions. While IoT actuators can automatically trigger actions, IoT sensors can monitor the changes... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Rafael Cirino Gonçalves, Tyron Louw, Yee Mun Lee, Ruth Madigan, Jonny Kuo, Mike Lenné and Natasha Merat    
The aim of this study was to compare the success of two different Human Machine Interfaces (HMIs) in attracting drivers? attention when they were engaged in a Non-Driving-Related Task (NDRT) during SAE Level 3 driving. We also assessed the value of each ... ver más
Revista: Information    Formato: Electrónico

 
en línea
Marco Mese, Antonio Anastasio, Alfonso Boiano, Vincenzo Masone, Giuseppe Osteria, Francesco Perfetto, Beatrice Panico, Valentina Scotti and Antonio Vanzanella    
This contribution describes the acquisition and trigger system for the HEPD-02 calorimeter that will be used onboard the CSES-02 satellite for the CSES/Limadou mission. This mission arises from the collaboration between the Chinese Space Agency (CNSA) an... ver más
Revista: Instruments    Formato: Electrónico

 
en línea
Ragil Andika Yuniawan, Ahmad Rifa?i, Fikri Faris, Andy Subiyantoro, Ratna Satyaningsih, Alidina Nurul Hidayah, Rokhmat Hidayat, Akhyar Mushthofa, Banata Wachid Ridwan, Eka Priangga, Agus Setyo Muntohar, Victor G. Jetten, Cees J. van Westen, Bastian V. den Bout and Samuel J. Sutanto    
Landslides are one of the most disastrous natural hazards that frequently occur in Indonesia. In 2017, Balai Sabo developed an Indonesia Landslide Early Warning System (ILEWS) by utilizing a single rainfall threshold for an entire nation, leading to inac... ver más
Revista: Geosciences    Formato: Electrónico

 
en línea
George Kaviris, Vasilis Kapetanidis, Ioannis Spingos, Nikolaos Sakellariou, Andreas Karakonstantis, Vasiliki Kouskouna, Panagiotis Elias, Andreas Karavias, Vassilis Sakkas, Theodoros Gatsios, Ioannis Kassaras, John D. Alexopoulos, Panayotis Papadimitriou, Nicholas Voulgaris and Issaak Parcharidis    
We investigate an earthquake sequence involving an Mw = 4.6 mainshock on 2 December 2020, followed by a seismic swarm in July?October 2021 near Thiva, Central Greece, to identify the activated structures and understand its triggering mechanisms. For this... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Tomas Davidek    
The Tile Calorimeter (TileCal) is the central hadronic calorimeter of the ATLAS experiment at the LHC. This sampling device is made of steel plates acting as absorber and scintillating tiles as active medium. The wavelength-shifting fibers collect the li... ver más
Revista: Instruments    Formato: Electrónico

 
en línea
Louis Portalès    
The CMS collaboration is building a high-granularity calorimeter (HGCAL) for the endcap regions as part of its planned upgrade for the High-Luminosity LHC. The calorimetric data will form part of the Level-1 trigger (hardware) of the CMS experiment, redu... ver más
Revista: Instruments    Formato: Electrónico

 
en línea
Diogo Teixeira, Silvestre Malta and Pedro Pinto    
An intrusion detection system (IDS) is an important tool to prevent potential threats to systems and data. Anomaly-based IDSs may deploy machine learning algorithms to classify events either as normal or anomalous and trigger the adequate response. When ... ver más
Revista: Future Internet    Formato: Electrónico

« Anterior     Página: 1 de 3     Siguiente »