A context-aware system uses heterogeneous data sources to adapt and provide services to the user according to his needs, localization, or his interaction with the environment. From: Intelligent Data Sensing and Processing for Health and Well-Being Applications, 2018 ...
s past access history and is used to predict user’s current activity upon the submission of some keyword query. We further propose a ranking scheme with this predicted context information incorporated. Experimental evaluation demonstrates both the effectiveness of the proposed context-aware search ...
Context-Aware Mobile Applications on Mobile Devices for Mobile Users I will present the Context Aware Browser, a novel paradigm for context-aware access to Web contents with mobile devices. The idea is to allow automatic dow... P Coppola,VD Mea,LD Gaspero,... - International Workshop on Ex...
Context-Aware Naming and Forwarding in NDN-Based VANETs. Sensors 2021, 21, 4629. [Google Scholar] [CrossRef] [PubMed] Alubady, R.; Hassan, S.; Habbal, A. Pending interest table control management in Named Data Network. J. Netw. Comput. Appl. 2018, 111, 99–116. [Google Scholar] ...
Context-aware heterogeneous V2X communications for connected vehicles. Comput. Netw. 2018, 136, 13–21. [Google Scholar] [CrossRef] ETSI TS 102 894-1. Intelligent Transport Systems (ITS); Users and Applications Requirements; Part 1: Facility Layer Structure, Functional Requirements and ...
Please be aware that this option has some limitations/drawbacks. It might cause other options of a server not to work, so it is advised to test this option in dept. If it breaks your server configuration such as ALPN I would not recommend to use reloadable ssl parameters. Updating your ...
(Martín et al., 2016) to help domain experts configure context-aware mobile applications for guiding tourists. The cloud-based platform allows experts to specify a date range; a time range; and a circular area on Google Maps, representing a touristic place of interest. Show abstract Adaptive ...
We introduce UniCell: Deconvolve Base (UCDBase), a pre-trained, interpretable, deep learning model to deconvolve cell type fractions and predict cell identity across Spatial, bulk-RNA-Seq, and scRNA-Seq datasets without contextualized reference data. UCD
Therefore, it is important for developers or product managers to be aware of these effects and, where possible, to collect data on the various contexts in which their users interact with VAs and to assess the service attributes of relevant contexts (hedonic-dominant or utilitarian-dominant). On...
4.1.3 Informational process and access The recorded information needs to be processed and analyzed to make the robot answer a question or fulfill a given task. Depending on the task, some features can be processed locally, such as reminders and timers – complex verbal interactions demand signific...