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Record W605936840

Management information systems 2002 : incorporating GIS and remote sensing

2000· book· en· W605936840 on OpenAlexaboutno aff
C. A. Brebbia, P. Pascolo

Bibliographic record

VenueWIT Press eBooks · 2000
Typebook
Languageen
FieldEngineering
Topic3D Modeling in Geospatial Applications
Canadian institutionsnot available
Fundersnot available
KeywordsGeographic information systemThematic mapRemote sensingEnvironmental resource managementGeographyEnvironmental scienceCartography
DOInot available

Abstract

fetched live from OpenAlex

Section 1: Environmental management An innovative real time environmental management system Spatial analysis of impacts and potentialities for leisure activities. Bases for territorial ordination of tourism uses Stochastic integer programming analysis for wastewater treatment plant design Determining the geographical variation in Danish farming Remote sensing and GIS as tools for the hydro-geomorphological modeling of soil erosion in semi-arid Mediterranean regions Rehabilitation of artificial reservoirs and environmental utilization of sediment Collaborative climate 3D viewer A river water quality model to simulate the effect of a point pollutant source Section 2: Economic development management An expert system for strategic management The development of a management information system for identifying and managing corporate image A maturity model for performance measurement systems Section 3: Application of GIS Mapping of soil degradation by using remote sensing and GIS on Genil-Cordobilla sub basin, Spain Line generalization: Least square with double tolerance GIS and satellite images in nuclear safeguards Assessing the performance of GIS techniques in environmental impact assessment studies AvEMC tools for decision making The use of GIS in Town Planning Automatic constraint for ensuring quality of geographic data The use of virtual reality and GIS to aid the location of recycling facilities in Nottingham Component based 3D GIS software design for the urban planning GIS and logistic regression as tools for environmental management: a coastal cliff vegetation model in Northern Spain Development of a desertification assessment method using a geographic information system: a case study in northwestern Argentina Erosion risk and desertification risk at Pyrgos, Greece Section 4: Modelling issues Model assessment for quality decisions Functional distance in utility networks as indicators of the spatial structure of the urban system Business intelligence: the management information system next step Towards automating the exchange of XML- structured information in a web environment Section 5: Remote sensing Automatic neuro-hyperspectral unmixing: a new approach SODETEL: Software development improvement for remote sensing and network management applications using component-based & quality assurance methodologies Application of IKONOS data for urban growth, mapping and urban updating, with special reference to Ibb City, Yemen Section 6: Integrated modelling and management Management systems and spatial data analysis in transportation and highway engineering Design of a MIS for the optimisation of the taxi system in a metropolitan area ALII: An information integration environment based on the active logic framework A new tool for textual database analysis and management An integrated web-based system architecture for new methods of work in the insurance sector The application of business intelligence and data warehousing in an Australian water business Real time control to manage sewer systems Testing the new AnnAGNPS simulation model on an intensively cultivated watershed within the Canadian climatic context Section 7: Virtual reality Synthetic virtual geographic world Remote e-learning using virtual reality (VR) Role of virtual reality (VR) in managing e-work Index of Authors

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.029
Threshold uncertainty score0.097

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.008
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.007
Science and technology studies0.0010.001
Scholarly communication0.0100.014
Open science0.0020.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0290.016

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.193
Teacher spread0.181 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2000
Admission routes1
Has abstractyes

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