Mobility Compass

Discover mobility and transportation research. Find experts, partners, networks.

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The Mobility Compass is an open tool for improving networking and interdisciplinary exchange within mobility and transport research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

To Graph

8.271 Topics available

To Map

884 Locations available

467.600 PEOPLE
467.600 People People

467.600 People

Show results for 467.600 people that are selected by your search filters.

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PeopleLocationsStatistics
Serhiienko, Serhii
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Schmalz, Ulrike
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Oliveira, Marisa
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Ribeiro Pereira, Maria Teresa
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Bellér, Gábor
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Araujo, M.
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Frey, MichaelKarlsruhe
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Coutinho-Rodrigues, JoãoCoimbra
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Wouters, Christian Guillaume LouiseAachen
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Kessel, Paul J. Van Van
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Árpád, István
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Fontul, Simona
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Kocsis, Dénes
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Cigada, AlfredoMilan
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Oort, Neils VanDelft
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Agárdi, AnitaMiskolc
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Andrews, Gordon E.
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Sousa, Nuno
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Witlox, Frank Jacomina AlbertGhent
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Dobruszkes, Frederic
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Kiss, Judit T.
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Hadachi, AmnirSaint-Étienne-du-Rouvray
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Hamilton, Carl J.Kunovice
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Misiura, Serhii
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Schimpf, Marina
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Skaf, Zakwan

  • Google
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University of Manchester

in Cooperation with on an Cooperation-Score of 37%

Topics

  • aircraft
  • data
  • reliability
  • algorithm
  • forecasting
  • tree
  • decision tree
  • maintenance
  • machinery
  • learning
  • health
  • submarine
  • data file
  • experiment
  • scheduling
  • sampling
  • re-procurement
  • air transport industry
  • recall campaign
  • minority
  • system availability
  • modeling
  • vehicle fleet
  • database
  • architecture
  • time window
  • deep learning
  • aircraft operation
  • engine
  • simulation
  • flight
  • diagnosis
  • machine learning
  • fuel
  • control system
  • repairing
  • airline
  • system architecture
  • digital twin
  • downsizing
  • redundancy
  • fuel system
  • environmental control
  • open system architecture
  • constraint
  • bottleneck
  • internet
  • industry 4.0
  • aircraft fuel
  • synthetic
  • intelligence
  • quality of service
  • language
  • downtime
  • chemical element
  • blending
  • troubleshooting
  • noise
  • density
  • takeoff
  • behavior
  • map
  • time interval
  • flight recorder
  • maintenance practice
  • data recorder
  • fishing
  • ownership
  • crash
  • optimisation
  • competition
  • system design
  • profit
  • diesel engine
  • fuel oil
  • pipe
  • oil tanker
  • maritime industry
  • fishing vessel
  • pipe laying
  • estimating
  • gas
  • gas turbine
  • compressor
  • uncertainty
  • modernization
  • fleet management
  • washing
  • show 58 more
  • show less

Publications

  • 2022Handling imbalanced data for aircraft predictive maintenance using the BACHE algorithm2citations
  • 2022A rare failure detection model for aircraft predictive maintenance using a deep hybrid learning approach1citations
  • 2021A Generalised Methodology for the Diagnosis of Aircraft Systems8citations
  • 2020Rescaled-LSTM for predicting aircraft component replacement under imbalanced dataset constraint7citations
  • 2020Aircraft predictive maintenance modeling using a hybrid imbalance learning approach1citations
  • 2020A clustering approach to detect faults with multi-component degradations in aircraft fuel systems5citations
  • 2020An integrated machine learning model for aircraft components rare failure prognostics with log-based dataset29citations
  • 2019Progress towards a Framework for Aerospace Vehicle Reasoning (FAVER)3citations
  • 2018Anomaly detection of aircraft engine in FDR (flight data recorder) data4citations
  • 2017Towards design of prognostics and health management solutions for maritime assets11citations
  • 2013Accommodating repair actions into gas turbine prognosticscitations

Places of action

Chart of shared publication
David Dangut, Maren
4 / 4 shared
Dangut, Maren David
4 / 5 shared
Jennions, Ian K.
7 / 32 shared
King, Steve
1 / 4 shared
Ik, Jennions
1 / 10 shared
Ezhilarasu, Cordelia Mattuvarkuzhali
2 / 3 shared
Cm, Ezhilarasu
1 / 2 shared
Z, Skaf
3 / 9 shared
I, Jennions
1 / 2 shared
Md, Dangut
1 / 2 shared
Kj, Ian
1 / 1 shared
Dd, Maren
1 / 1 shared
S, Zakwan
1 / 1 shared
A, Zaporowska
1 / 2 shared
H, Liu
1 / 2 shared
Zhao, Yifan
1 / 8 shared
Y, Zhao
1 / 5 shared
Tsourdos, Antonios
1 / 539 shared
Lee, Chang-hun
1 / 2 shared
Shin, Hyo-Sang
1 / 119 shared
Niculita, Octavian
1 / 1 shared
Nwora, Obinna
1 / 1 shared
Mills, Andrew R.
1 / 1 shared
Zaidan, Martha A.
1 / 1 shared
Harrison, Robert F.
1 / 28 shared
Chart of publication period
2022
2021
2020
2019
2018
2017
2013

Co-Authors (by relevance)

  • David Dangut, Maren
  • Dangut, Maren David
  • Jennions, Ian K.
  • King, Steve
  • Ik, Jennions
  • Ezhilarasu, Cordelia Mattuvarkuzhali
  • Cm, Ezhilarasu
  • Z, Skaf
  • I, Jennions
  • Md, Dangut
  • Kj, Ian
  • Dd, Maren
  • S, Zakwan
  • A, Zaporowska
  • H, Liu
  • Zhao, Yifan
  • Y, Zhao
  • Tsourdos, Antonios
  • Lee, Chang-hun
  • Shin, Hyo-Sang
  • Niculita, Octavian
  • Nwora, Obinna
  • Mills, Andrew R.
  • Zaidan, Martha A.
  • Harrison, Robert F.