Results 11 to 20 of about 1,821 (211)
Identification of Drivers for Modular Production [PDF]
, 2015 Todays competitive environment in industry creates a need for companies to enhance their ability to introduce new products faster. To increase ramp-up speed reconfigurable manufacturing systems is a promising concept, however to implement this production platforms and modular manufacturing is required.
Thomas Ditlev Brunoe +2 more
openaire +3 more sources
DGPathinter: a novel model for identifying driver genes via knowledge-driven matrix factorization with prior knowledge from interactome and pathways [PDF]
PeerJ Computer Science, 2017 Cataloging mutated driver genes that confer a selective growth advantage for tumor cells from sporadic passenger mutations is a critical problem in cancer genomic research.
Jianing Xi, Minghui Wang, Ao Li
doaj +2 more sources
Structural analysis of driver fatigue behavior: A systematic review
Transportation Research Interdisciplinary Perspectives, 2023 Fatigue is always accompany with the driving task, which have been extensively investigated for driver monitoring and traffic safety. While many scholars dedicate to the study of fatigue detection methods with higher accuracy, but the basic correlation ...
Hui Zhang +5 more
doaj +1 more source
Sensors, 2022 Today’s cars have dozens of sensors to monitor vehicle performance through different systems, most of which communicate via vehicular networks (CAN). Many of these sensors can be used for applications other than the original ones, such as improving the ...
Lucas V. Bonfati +3 more
doaj +1 more source
Private Drivers Identification based on users’ routine
2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), 2021 This paper presents Private Secure Routine (PSR) as a paradigm with two main objectives: i) identify drivers depending on their habits/routine and ii) keep private drivers’ data. We implemented PSR exploiting the secure Multi-Party Computation (MPC) technique against a honest-but-curious attacker model.
Micale, Davide +3 more
openaire +2 more sources
GASN: gamma distribution test for driver genes identification based on similarity networks
Connection Science, 2023 Cancer is a disease with a complex genome of altered functions. However, most existing driver gene identification approaches rarely consider driver genes may have the same functional properties.
Dazhi Jiang +5 more
doaj +1 more source
Frontiers in Genetics, 2021 Identification of driver genes from mass non-functional passenger genes in cancers is still a critical challenge. Here, an effective and no parameter algorithm, named DriverSubNet, is presented for detecting driver genes by effectively mining the ...
Di Zhang, Yannan Bin
doaj +1 more source
Who is behind the wheel? Driver identification and fingerprinting
Journal of Big Data, 2018 In the last decade, significant advances have been made in sensing and communication technologies. Such progress led to a considerable growth in the development and use of intelligent transportation systems. Characterizing driving styles of drivers using
Saad Ezzini +2 more
doaj +1 more source
DROID: Driver-Centric Risk Object IDentification
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 Submitted to ...
Chengxi Li 0006 +2 more
openaire +3 more sources
Driver identification through vehicular CAN bus data: An ensemble deep learning approach
IET Intelligent Transport Systems, 2023 Driver identification using in‐vehicle data is receiving considerable attention in the field of intelligent transportation owing to the advances in deep learning (DL).
Hongyu Hu +5 more
doaj +1 more source