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Identification and detection of DDoS attack on smart home infrastructure using machine learning models [PDF]
Scientific ReportsThis study investigates Distributed Denial-of-Service (DDoS) attack detection within smart home environments using both traditional machine learning and deep learning approaches.
Thejavathy Vengappa Raja +4 more
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Utilising smart water monitoring with IoT in science learning with problem-based learning model: Impact on critical thinking skills and the role of learning interest [PDF]
Journal of Pedagogical Research, 2023 This research explores the impact of integrating smart water monitoring with internet of things (IoT) into 7th-grade science education using the problem-based learning (PBL) model.
Flaurencia Irene Mulya Irawati +1 more
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Learning Situation Models in a Smart Home [PDF]
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2009 This paper addresses the problem of learning situation models for providing context-aware services. Context for modeling human behavior in a smart environment is represented by a situation model describing environment, users, and their activities. A framework for acquiring and evolving different layers of a situation model in a smart environment is ...
Brdiczka, Oliver +2 more
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A Hybrid Deep Learning Approach for Replay and DDoS Attack Detection in a Smart City
IEEE Access, 2021 Today’s smart city infrastructure is predominantly dependant on Internet of Things (IoT) technologies. IoT technology essentially facilitates a platform for service automation through connections of heterogeneous objects via the Internet backbone.
Asmaa A. Elsaeidy +2 more
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CBGRU: A Detection Method of Smart Contract Vulnerability Based on a Hybrid Model
Sensors, 2022 In the context of the rapid development of blockchain technology, smart contracts have also been widely used in the Internet of Things, finance, healthcare, and other fields.
Lejun Zhang +6 more
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Smart learning model in technical and vocational education training with webcast technology
Jurnal Pendidikan Vokasi, 2023 This research aims to develop an e-learning strategy for the industrial revolution 4.0 era by developing an innovative and adaptable TVET learning model using Webcast technology.
Yasdinul Huda +3 more
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Self-Learning Load Characteristic Models for Smart Appliances [PDF]
IEEE Transactions on Smart Grid, 2014 It is generally accepted that if dynamic electricity pricing tariffs were to be introduced, their effectiveness in controlling domestic loads will be curtailed if consumers were relied on to respond in their own interests. The complexities of relating behavior to load to price are so burdensome that at least some degree of automation would be required ...
Stephen, Bruce +2 more
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Al-Mudarris, 2021 This study aims to describe a learning model based on long term memory retention using the SMART learning model for students at the basic education level that is applied by teachers in the Natural Science (IPA) learning process.
Ricka Tesi Muskania, Asep Supena
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Smart Learning Environments, 2022 This paper explores potential ways of evaluating the implicit learning that may be present in autonomous smart learning activities and environments, reflecting on prior phenomenographic research into smart learning activities positioned as local journeys
Pen Lister
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Systems, 2023 The Edu-Metaverse, a vast ensemble of different technologies, has initiated a great and unprecedented change in the field of education. This change has been effected through the following Edu-Metaverse characteristics: embodied and multimodal interaction;
Xiaoyang Shu, Xiaoqing Gu
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