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Smart Chinese medicine for hypertension treatment with a deep learning model
Journal of Network and Computer Applications, 2019Abstract As one important component of smart world, smart health is drawing more and more attention. Over the years, hypertension has become a high incident disease and it is continuing to threaten human health seriously. Unfortunately, no effective way has been found to cure hypertension at present.
Qingchen Zhang +2 more
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A Learning Analytic Model for Smart Classroom
2018With the popularity of Smart Classroom, it is necessary to study corresponding learning analytic methods to assist instructors. However, little research has investigated analyzing hidden state in class, which is an important analysis work. Therefore, focusing on the interactive learning through individual Pad devices, we propose a Learning Analytic ...
Qunbo Wang, Wenjun Wu 0001, Yuxing Qi
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A Kinet-Affective Learning Model for Experiential Learning in Smart Ambience
2014With the increasing development and implementation of 3D visualization and interactive media technologies in education under the auspices of game-based [1], experiential, virtual reality (VR) [2] or smart ambience [3] (defined here as a VR environment that is responsive to user’s natural motion/gesture within it) learning, students and teachers are ...
Horace H. S. Ip, Julia Byrne
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A Software Model Supporting Smart Learning
2017We elaborate a software model to support smart learning, a major component of smarter cities. By introducing various modes of learning, technology, and specifically educational technology, has drastically changed the knowledge acquisition process. One promising mode is game-based learning (GBL), which promotes the notion of smart learning. GBL provides
Shamsa Abdulla Al Mazrouei +2 more
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A Model of Smart Learning System Based on Elastic Computing
2011 Ninth International Conference on Software Engineering Research, Management and Applications, 2011In recently, learners have always mobile devices including smart phones so that is collecting user's behavior by sensors mounted on the devices. This paper proposes a new notion for smart learning system by using the concept of elastic computing in cloud computing.
Svetlana Kim, Yongik Yoon 0001
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Machine Learning Model for Smart Contracts Security Analysis
2019 17th International Conference on Privacy, Security and Trust (PST), 2019In this paper, we introduce a machine learning predictive model that detects patterns of security vulnerabilities in smart contracts. We adapted two static code analyzers to label more than 1000 smart contracts that were verified and used on the Ethereum platform.
Pouyan Momeni, Yu Wang 0133, Reza Samavi
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Design of Theoretical Model for Smart Learning
2015Smart learning is the learning activity which can enable high learning experiences, high content suitability, and high learning efficient. The research on smart learning and smart learning environment (SLE) is just at the very beginning. There has not been a mature research framework on smart learning.
Xiaolin Liu +2 more
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FuzzyNet-Based Modelling Smart Traffic System in Smart Cities Using Deep Learning Models
2023The current lockouts, climatic variations, population expansion, and constraints on convenience and natural resource access are some of the factors that are making the need for smart cities more critical than ever before. On the other hand, these difficulties may be conquered more effectively with the use of emerging technology.
Pawan Kumar Mall +6 more
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Modeling visit behaviour in smart homes using unsupervised learning
Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication, 2014Many algorithms on health monitoring from ambient sensor networks assume that only a single person is present in the home. We present an unsupervised method that models visit behaviour. A Markov modulated multidimensional non-homogeneous Poisson process (M3P2) is described that allows us to model weekly and daily variations and to combine multiple data
Nait Aicha, A. +2 more
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