Journal ArticleOpen Access
Mobile Data Science and Intelligent Apps: Concepts, AI-Based Modeling and Research Directions
Author Affiliations
Chittagong University of Engineering & Technology, Swinburne University of Technology, University of Science and Technology Chittagong, RMIT University
Published InMobile Networks and Applications
Year2020
Citations198
Abstract
Artificial intelligence (AI) techniques have grown rapidly in recent years in the context of computing with smart mobile phones that typically allows the devices to function in an intelligent manner. Popular AI techniques include machine learning and deep learning methods, natural language processing, as well as knowledge representation and expert systems, can be used to make the target mobile applications intelligent and more effective. In this paper, we present a comprehensive view on “mobile data science and intelligent apps” in terms of concepts and AI-based modeling that can be used to design and develop intelligent mobile applications for the betterment of human life in their diverse day-to-day situation. This study also includes the concepts and insights of various AI-powered intelligent…
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Fields & Keywords
Physical SciencesComputer ScienceComputer Vision and Pattern RecognitionContext-Aware Activity Recognition SystemsHuman Mobility and Location-Based AnalysisIoT and Edge/Fog ComputingData scienceHuman–computer interactionArtificial intelligenceMultimediaWorld Wide WebPaleontologyMathematical analysisComputer network