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Evaluation Model of Operation State Based on Deep Learning for Smart Meter
Energies, 2021 The operation state detection of numerous smart meters is a significant problem caused by manual on-site testing. This paper addresses the problem of improving the malfunction detection efficiency of smart meters using deep learning and proposes a novel ...
Qingsheng Zhao +4 more
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QBS, the Smart e-learning Model
Journal of the Korea Institute of Information and Communication Engineering, 2015 ABSTRACT This study analyze Online class’s current condition in Smart era. And suggest better operation model based on Internet Architecture. This study focuses the condition of e-learning operation model in University online class. Especially, 'Time Check Idea' that using for attendance on e-learning class has some side effects.
Jae-Chun Park +2 more
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Blockchain-Modeled Edge-Computing-Based Smart Home Monitoring System with Energy Usage Prediction
Sensors, 2023 Internet of Things (IoT) has made significant strides in energy management systems recently. Due to the continually increasing cost of energy, supply–demand disparities, and rising carbon footprints, the need for smart homes for monitoring, managing, and
Faiza Iqbal +6 more
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Smart Learning Services Based on Smart Cloud Computing
Sensors, 2011 Context-aware technologies can make e-learning services smarter and more efficient since context-aware services are based on the user’s behavior. To add those technologies into existing e-learning services, a service architecture model is needed to ...
Yong-Ik Yoon, Su-Mi Song, Svetlana Kim
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The Improving Effect of Intelligent Speech Recognition System on English Learning
Advances in Multimedia, 2022 To improve the effect of English learning in the context of smart education, this study combines speech coding to improve the intelligent speech recognition algorithm, builds an intelligent English learning system, combines the characteristics of human ...
Qi Luo
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Local Motion Planner for Autonomous Navigation in Vineyards with a RGB-D Camera-Based Algorithm and Deep Learning Synergy [PDF]
, 2020 With the advent of agriculture 3.0 and 4.0, researchers are increasingly focusing on the development of innovative smart farming and precision agriculture technologies by introducing automation and robotics into the agricultural processes.
Aghi, Diego +2 more
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Smart Cognitive IoT Devices Using Multi-Layer Perception Neural Network on Limited Microcontroller
Sensors, 2022 The Internet of Things (IoT) era is mainly dependent on the word “Smart”, such as smart cities, smart homes, and smart cars. This aspect can be achieved through the merging of machine learning algorithms with IoT computing models.
Mahmoud Hussein +4 more
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Learning Setting-Generalized Activity Models for Smart Spaces [PDF]
IEEE Intelligent Systems, 2012 The data mining and pervasive computing technologies found in smart homes offer unprecedented opportunities for providing context-aware services, including health monitoring and assistance to individuals experiencing difficulties living independently at home.
openaire +3 more sources
Decentralized Smart Grid Stability Modeling with Machine Learning
Energies, 2023 Predicting the stability of a Decentralized Smart Grid is key to the control of such systems. One of the key aspects that is necessary when observing the control of DSG systems is the need for rapid control. Due to this, the application of AI-based machine learning (ML) algorithms may be key to achieving a quick and precise stability prediction.
Borna Franović +3 more
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Smart Learning Environments, 2021 This paper discusses the uses and applications of the Pedagogy of Experience Complexity for Smart Learning (PECSL), a four-tier model of considerations for the design and development of smart learning activities.
Pen Lister
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