Search Results - spatial information services integration framework
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1
Integration between location based service (LBS) and online analytical processing (OLAP): semantic approach
Published 2008“…The internet has become the main transport for data and information exchange, and a proper integration framework should be use. …”
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2
Disaster Management in Malaysia: An Application Framework of Integrated Routing Application for Emergency Response Management System
Published 2009“…In order to eliminate inappropriate information, incomplete data, and overloaded information from Database Management System (DBMS) sent to the user, this paper will present the framework of integrated routing application for emergency response units embedded with context-aware.…”
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A Framework for Visualization of Geographical Information Data using Vector Format
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A framework for processing skyline queries for a group of mobile users
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Proceeding Paper -
5
An intelligent mobile disaster alert system
Published 2009“…In order to eliminate inappropriate information, incomplete data, and overloaded information from Database Management System (DBMS) sent to the user, this paper will present the framework of integrated routing application for emergency response units embedded with context-aware.…”
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6
Development of an integrated 3D GIS-BIM framework for smart classroom space optimization system
Published 2025“…The findings show that the integrated 3D GIS-BIM framework successfully addressed major issues in current space management systems. …”
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7
Leveraging sMRI, Self-Attention Mechanisms, and Evolving Spiking Neural Networks for Enhanced Suicide Ideation Detection in Depressed Young Adults
Published 2024“…Furthermore, the study incorporates a user-centric evaluation framework that enables mental health professionals and service users to assess the model's detections and rationale, facilitating informed decision-making processes. …”
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Flood forecasting using semi-distributed hydrological model coupled with weather research and forecasting model
Published 2019“…From the overall analysis, the study has determined that WRF model can be applied as the best alternative meteorological input to be used for sparse rainfall gauge areas or areas where rainfall observation stations fail to function. Hence the model framework is significant in providing reliable information on flood forecasting by considering about average percentage error of about ±16% to ±25% flow discharge values.…”
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