Intelligent Transportation Related Complex Systems and Sensors

Intelligent Transportation Related Complex Systems and Sensors

Building around innovative services related to different modes of transport and traffic management, intelligent transport systems (ITS) are being widely adopted worldwide to improve the efficiency and safety of the transportation system. They enable users to be better informed and make safer, more c...

Full description

Saved in:
Bibliographic Details
HerausgeberIn:
Al-Machot, Fadi
Mosa, Ahmad Haj
Chedjou, Jean Chamberlain
Bagula, Antoine
Sonstige:
Kyamakya, Kyandoghere
Al-Machot, Fadi
Mosa, Ahmad Haj
Chedjou, Jean Chamberlain
Bagula, Antoine
Year of Publication:2021
Language:English
Physical Description:1 electronic resource (494 p.)
Tags: Add Tag
No Tags, Be the first to tag this record!
id 993545905404498
ctrlnum (CKB)5400000000042434
(oapen)https://directory.doabooks.org/handle/20.500.12854/76626
(EXLCZ)995400000000042434
collection bib_alma
record_format marc
spelling Kyamakya, Kyandoghere edt
Intelligent Transportation Related Complex Systems and Sensors
Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
1 electronic resource (494 p.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Building around innovative services related to different modes of transport and traffic management, intelligent transport systems (ITS) are being widely adopted worldwide to improve the efficiency and safety of the transportation system. They enable users to be better informed and make safer, more coordinated, and smarter decisions on the use of transport networks. Current ITSs are complex systems, made up of several components/sub-systems characterized by time-dependent interactions among themselves. Some examples of these transportation-related complex systems include: road traffic sensors, autonomous/automated cars, smart cities, smart sensors, virtual sensors, traffic control systems, smart roads, logistics systems, smart mobility systems, and many others that are emerging from niche areas. The efficient operation of these complex systems requires: i) efficient solutions to the issues of sensors/actuators used to capture and control the physical parameters of these systems, as well as the quality of data collected from these systems; ii) tackling complexities using simulations and analytical modelling techniques; and iii) applying optimization techniques to improve the performance of these systems. It includes twenty-four papers, which cover scientific concepts, frameworks, architectures and various other ideas on analytics, trends and applications of transportation-related data.
English
Technology: general issues bicssc
image dehazing
traffic video dehazing
dark channel prior
spatial-temporal correlation
contrast enhancement
traffic signal control
game theory
decentralized control
large-scale network control
railway intrusion detection
scene segmentation
scene recognition
adaptive feature extractor
convolutional neural networks
in-cylinder pressure identification
speed iteration model
EKF
frequency modulation
amplitude modulation
sensor synchronization
microscopic traffic data
trajectory reconstruction
expectation maximization
vehicle matching
artificial neural networks
metro
transportation
user flow forecast
matrix inversion
time-varying matrix
noise problem in time-varying matrix inversion
recurrent neural network (RNN)
RNN-based solver
real-time fast computing
real-time estimation
probe vehicle
traffic density
neural network
level of market penetration rate
deep neural network
neural artistic extraction
objectification
ride comfort
subjective evaluation
road surface recognition
Gaussian background model
abnormal road surface
acceleration sensor
traffic state prediction
spatio-temporal traffic modeling
simulation
machine learning
hyper parameter optimization
ITS
crash risk modeling
hazardous materials
highway safety
operations research
prescriptive analytics
shortest path problem
trucking
vehicle routing problem
data visualization
descriptive analytics
predictive analytics
urban rail transit interior noise
smartphone sensing
XGBoost classifier
railway maintenance
vehicle trajectory prediction
license plate data
trip chain
turning state transit
route choice behavior
real world experiment
Intelligent Transportation Systems (ITS)
advanced traveler information systems (ATIS)
connected vehicles
particle filter
Kalman filter
road safety
travel time information system
safety performance function
bicycle sharing systems
public transport systems
data-driven classification of trips
BSS underlying network
trip index
automatic rail-surface-scratch recognition and computation
triangulation algorithm
complete closed mesh model
online rail-repair
autonomous vehicle
obstacle avoidance
artificial potential field
model predictive control
human-like
variable speed limits
intelligent transportation systems
ITS services
driving simulator studies
traffic modelling
surrogate safety measures
driving safety
driving emotions
driving stress
lifestyle
sensors
heart rate
plate scanning
low-cost sensor
sensor location problem
traffic flow estimation
3-0365-0848-1
3-0365-0849-X
Al-Machot, Fadi edt
Mosa, Ahmad Haj edt
Chedjou, Jean Chamberlain edt
Bagula, Antoine edt
Kyamakya, Kyandoghere oth
Al-Machot, Fadi oth
Mosa, Ahmad Haj oth
Chedjou, Jean Chamberlain oth
Bagula, Antoine oth
language English
format eBook
author2 Al-Machot, Fadi
Mosa, Ahmad Haj
Chedjou, Jean Chamberlain
Bagula, Antoine
Kyamakya, Kyandoghere
Al-Machot, Fadi
Mosa, Ahmad Haj
Chedjou, Jean Chamberlain
Bagula, Antoine
author_facet Al-Machot, Fadi
Mosa, Ahmad Haj
Chedjou, Jean Chamberlain
Bagula, Antoine
Kyamakya, Kyandoghere
Al-Machot, Fadi
Mosa, Ahmad Haj
Chedjou, Jean Chamberlain
Bagula, Antoine
author2_variant k k kk
f a m fam
a h m ah ahm
j c c jc jcc
a b ab
author2_role HerausgeberIn
HerausgeberIn
HerausgeberIn
HerausgeberIn
Sonstige
Sonstige
Sonstige
Sonstige
Sonstige
title Intelligent Transportation Related Complex Systems and Sensors
spellingShingle Intelligent Transportation Related Complex Systems and Sensors
title_full Intelligent Transportation Related Complex Systems and Sensors
title_fullStr Intelligent Transportation Related Complex Systems and Sensors
title_full_unstemmed Intelligent Transportation Related Complex Systems and Sensors
title_auth Intelligent Transportation Related Complex Systems and Sensors
title_new Intelligent Transportation Related Complex Systems and Sensors
title_sort intelligent transportation related complex systems and sensors
publisher MDPI - Multidisciplinary Digital Publishing Institute
publishDate 2021
physical 1 electronic resource (494 p.)
isbn 3-0365-0848-1
3-0365-0849-X
illustrated Not Illustrated
work_keys_str_mv AT kyamakyakyandoghere intelligenttransportationrelatedcomplexsystemsandsensors
AT almachotfadi intelligenttransportationrelatedcomplexsystemsandsensors
AT mosaahmadhaj intelligenttransportationrelatedcomplexsystemsandsensors
AT chedjoujeanchamberlain intelligenttransportationrelatedcomplexsystemsandsensors
AT bagulaantoine intelligenttransportationrelatedcomplexsystemsandsensors
status_str n
ids_txt_mv (CKB)5400000000042434
(oapen)https://directory.doabooks.org/handle/20.500.12854/76626
(EXLCZ)995400000000042434
carrierType_str_mv cr
is_hierarchy_title Intelligent Transportation Related Complex Systems and Sensors
author2_original_writing_str_mv noLinkedField
noLinkedField
noLinkedField
noLinkedField
noLinkedField
noLinkedField
noLinkedField
noLinkedField
noLinkedField
_version_ 1787548726841049088
fullrecord <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>06920nam-a2201741z--4500</leader><controlfield tag="001">993545905404498</controlfield><controlfield tag="005">20231214133655.0</controlfield><controlfield tag="006">m o d </controlfield><controlfield tag="007">cr|mn|---annan</controlfield><controlfield tag="008">202201s2021 xx |||||o ||| 0|eng d</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(CKB)5400000000042434</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(oapen)https://directory.doabooks.org/handle/20.500.12854/76626</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(EXLCZ)995400000000042434</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Kyamakya, Kyandoghere</subfield><subfield code="4">edt</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Intelligent Transportation Related Complex Systems and Sensors</subfield></datafield><datafield tag="260" ind1=" " ind2=" "><subfield code="a">Basel, Switzerland</subfield><subfield code="b">MDPI - Multidisciplinary Digital Publishing Institute</subfield><subfield code="c">2021</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 electronic resource (494 p.)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Building around innovative services related to different modes of transport and traffic management, intelligent transport systems (ITS) are being widely adopted worldwide to improve the efficiency and safety of the transportation system. They enable users to be better informed and make safer, more coordinated, and smarter decisions on the use of transport networks. Current ITSs are complex systems, made up of several components/sub-systems characterized by time-dependent interactions among themselves. Some examples of these transportation-related complex systems include: road traffic sensors, autonomous/automated cars, smart cities, smart sensors, virtual sensors, traffic control systems, smart roads, logistics systems, smart mobility systems, and many others that are emerging from niche areas. The efficient operation of these complex systems requires: i) efficient solutions to the issues of sensors/actuators used to capture and control the physical parameters of these systems, as well as the quality of data collected from these systems; ii) tackling complexities using simulations and analytical modelling techniques; and iii) applying optimization techniques to improve the performance of these systems. It includes twenty-four papers, which cover scientific concepts, frameworks, architectures and various other ideas on analytics, trends and applications of transportation-related data.</subfield></datafield><datafield tag="546" ind1=" " ind2=" "><subfield code="a">English</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Technology: general issues</subfield><subfield code="2">bicssc</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">image dehazing</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">traffic video dehazing</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">dark channel prior</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">spatial-temporal correlation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">contrast enhancement</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">traffic signal control</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">game theory</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">decentralized control</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">large-scale network control</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">railway intrusion detection</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">scene segmentation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">scene recognition</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">adaptive feature extractor</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">convolutional neural networks</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">in-cylinder pressure identification</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">speed iteration model</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">EKF</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">frequency modulation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">amplitude modulation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">sensor synchronization</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">microscopic traffic data</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">trajectory reconstruction</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">expectation maximization</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">vehicle matching</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">artificial neural networks</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">metro</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">transportation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">user flow forecast</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">matrix inversion</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">time-varying matrix</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">noise problem in time-varying matrix inversion</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">recurrent neural network (RNN)</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">RNN-based solver</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">real-time fast computing</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">real-time estimation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">probe vehicle</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">traffic density</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">neural network</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">level of market penetration rate</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">deep neural network</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">neural artistic extraction</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">objectification</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">ride comfort</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">subjective evaluation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">road surface recognition</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Gaussian background model</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">abnormal road surface</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">acceleration sensor</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">traffic state prediction</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">spatio-temporal traffic modeling</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">simulation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">machine learning</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">hyper parameter optimization</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">ITS</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">crash risk modeling</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">hazardous materials</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">highway safety</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">operations research</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">prescriptive analytics</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">shortest path problem</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">trucking</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">vehicle routing problem</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">data visualization</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">descriptive analytics</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">predictive analytics</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">urban rail transit interior noise</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">smartphone sensing</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">XGBoost classifier</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">railway maintenance</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">vehicle trajectory prediction</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">license plate data</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">trip chain</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">turning state transit</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">route choice behavior</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">real world experiment</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Intelligent Transportation Systems (ITS)</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">advanced traveler information systems (ATIS)</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">connected vehicles</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">particle filter</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Kalman filter</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">road safety</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">travel time information system</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">safety performance function</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">bicycle sharing systems</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">public transport systems</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">data-driven classification of trips</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">BSS underlying network</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">trip index</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">automatic rail-surface-scratch recognition and computation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">triangulation algorithm</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">complete closed mesh model</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">online rail-repair</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">autonomous vehicle</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">obstacle avoidance</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">artificial potential field</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">model predictive control</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">human-like</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">variable speed limits</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">intelligent transportation systems</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">ITS services</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">driving simulator studies</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">traffic modelling</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">surrogate safety measures</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">driving safety</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">driving emotions</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">driving stress</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">lifestyle</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">sensors</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">heart rate</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">plate scanning</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">low-cost sensor</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">sensor location problem</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">traffic flow estimation</subfield></datafield><datafield tag="776" ind1=" " ind2=" "><subfield code="z">3-0365-0848-1</subfield></datafield><datafield tag="776" ind1=" " ind2=" "><subfield code="z">3-0365-0849-X</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Al-Machot, Fadi</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Mosa, Ahmad Haj</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Chedjou, Jean Chamberlain</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Bagula, Antoine</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kyamakya, Kyandoghere</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Al-Machot, Fadi</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Mosa, Ahmad Haj</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Chedjou, Jean Chamberlain</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Bagula, Antoine</subfield><subfield code="4">oth</subfield></datafield><datafield tag="906" ind1=" " ind2=" "><subfield code="a">BOOK</subfield></datafield><datafield tag="ADM" ind1=" " ind2=" "><subfield code="b">2023-12-15 06:02:17 Europe/Vienna</subfield><subfield code="f">system</subfield><subfield code="c">marc21</subfield><subfield code="a">2022-04-04 09:22:53 Europe/Vienna</subfield><subfield code="g">false</subfield></datafield><datafield tag="AVE" ind1=" " ind2=" "><subfield code="i">DOAB Directory of Open Access Books</subfield><subfield code="P">DOAB Directory of Open Access Books</subfield><subfield code="x">https://eu02.alma.exlibrisgroup.com/view/uresolver/43ACC_OEAW/openurl?u.ignore_date_coverage=true&amp;portfolio_pid=5338044140004498&amp;Force_direct=true</subfield><subfield code="Z">5338044140004498</subfield><subfield code="b">Available</subfield><subfield code="8">5338044140004498</subfield></datafield></record></collection>

Similar Items