Use this URL to cite this publication: https://hdl.handle.net/20.500.14911/145017
Integration of intelligent, voice stress analysis, and iris recognition technologies in construction and real estate
Publication Type (CRIS)
Straipsnis konferencijos medžiagoje Web of Science duomenų bazėje / Article in conference proceedings in Web of Science database (P1a1)
Publication Type (eLABa)
Straipsnis konferencijos darbų leidinyje Web of Science DB / Article in conference proceedings Web of Science DB (P1a)
Author(s)
| Author | Affiliation |
|---|---|
Title [en]
Integration of intelligent, voice stress analysis, and iris recognition technologies in construction and real estate
Arturas Kaklauskas, Andrej Vlasenko, Mindaugas Krutinis, Gintaris Kaklauskas
Is part of
The 7th international conference Reliability and statistics in transportation and communication (RelStat-07), 24-27 October 2007, Riga, Latvia : proceedings
Published In
| Year | Start Page | End Page |
|---|---|---|
2007 | 238 | 245 |
Publisher
Riga : Transport and Telecommunication Institute, 2007
Publisher (trusted)
Transport and Telecommunication Institute
Referenced in Database(s)(DBs)
Extent
p. 238-245
Science / Art Area
Technologijos mokslai / Technological sciences (T)
Field of Science / Art
Statybos inžinerija / Civil engineering (T002)
Abstract (en)
The authors of this paper have participated in the project Framework 6 Intelligent Cities and the Lincoln Institute of Land Policy Fellowship. One of the project?s goals is to develop and improve a Real Estate?s Market Value, Pollution and Health Effects Analysis Decision Support System (RE-MVPHE-DSS). RE-MVPHE-DSS consists of a Market Value Analysis, Air Pollution, Premises Microclimate Analysis, Health Effects, Voice Stress Analysis, IRIS Recognition, Cooperative Decision Making and Multiple User Subsystems. RE-MVPHEDSS is briefly analysed in this paper.
Resource Type (COAR)
TextConference outputConference proceedingsConference paper
Language
Anglų / English (en)
Country
Latvija / Latvia (LV)
Description
IDS Number: BHM37.
Owning collection
ISBN (of the container)
9789984818009
WOS
000254266700032
eLABa ID
3801419