Essays about: "Cognitive interoperability"
Found 4 essays containing the words Cognitive interoperability.
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1. Roadblocks and gateways in the human domain : A cognitive interoperability framework for allies and partners
University essay from FörsvarshögskolanAbstract : This thesis contributes to our understanding of cognitive interoperability by explor-ing barriers, facilitators, and contextual factors to create a framework. With the ad-vent of the cognitive domain in warfighting, the adversary pursuit of military strate-gic advantage through cognitive science demands that we seize the initiative and seek cognitive superiority with allies and partners. READ MORE
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2. A spatial data infrastructure based conceptual model for an efficient public transport system
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : This thesis addresses the pressing need for an efficient public transport system in response to increasing urban population and rising fossil fuel costs. The research aims to satisfy that need by answering the research question guiding this study is: "How can developing an SDI-based conceptual model, leveraging cloud computing, optimize public transport by integrating multiple travel data sources and overcoming data fragmentation and interoperability challenges?". READ MORE
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3. Managing a digital transformation : A case study of digitizing functional operations in a sociotechnical system
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : Sweden has the ambition to be the world leading country leveraging the opportunities of digitalization in the healthcare sector. In parallel, the Swedish Research Council highlights that conducting more clinical studies is essential to improve the healthcare. READ MORE
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4. Integration of Digital Twin and Deep Learning for facilitating Smart Planning and Construction: An Exploratory Analysis
University essay from Jönköping University/JTH, Byggnadsteknik och belysningsvetenskapAbstract : The Architecture, Engineering, and Construction (AEC) industry is known to be overwhelmed with resource planning, risk management, and logistic challenges, resulting in design defects, project delivery delays, cost overruns, and contractual disputes. These challenges have instigated research in the application of advanced machine learning algorithms such as Deep learning (DL) to help with diagnostic and prescriptive analysis of causes and preventive measures. READ MORE