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Smart suspect tracker using deep learning model
AIP Conference Proceedings, 2023Each human progress requires a problem free environment since it influences all components of monetary and social turn of events. Quite possibly the main work in keeping a serene local area is finding lawbreakers. In India, finger impression ID is the most part used to distinguish lawbreakers In most of the cases, The fact is that most Suspects these
Karuna Gotlur +4 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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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 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, Yuxing Qi
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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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WIP: Model of Self-Regulated Smart Learning Environment
2021 IEEE World Conference on Engineering Education (EDUNINE), 2021The use of smart and mobile technologies provides a smart learning environment that can support diverse learning needs. The self-regulated learning process has been identified as one strategy supporting students in the online learning environment. Metacognitive skills such as goal setting, task strategy, self-reaction, help-seeking, time management can
Yusufu Gambo, Muhammad Zeeshan Shakir
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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, Reza Samavi
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Open Learner Models in Smart Learning Environments
2018Smart learning environments (SLEs), like all adaptive learning systems, are built around the learner model and use it to support a variety of interventions such as mastery learning, scaffolding, adaptive sequencing, and adaptive navigation support.
Angeliki Leonardou +2 more
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