Results 21 to 30 of about 99,429 (309)
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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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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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 Grid Technologies in Europe: An Overview [PDF]
, 2013 The old electricity network infrastructure has proven to be inadequate, with respect to modern challenges such as alternative energy sources, electricity demand and energy saving policies.
Ardito, Luca +12 more
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Addressing Adversarial Machine Learning Attacks in Smart Healthcare Perspectives
, 2022 Smart healthcare systems are gaining popularity with the rapid development of intelligent sensors, the Internet of Things (IoT) applications and services, and wireless communications.
Jadidi, Z, Pal, S, Selvakkumar, A
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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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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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A MODEL OF ADAPTIVE LEARNING IN SMART CLASSROOMS BASED ON THE LEARNING STRATEGIES
PEOPLE: International Journal of Social Sciences, 2019 The paper presents a proposal of a model of adaptive learning. The model takes the advantage of a smart classroom environment for the realization of adaptive learning.
Vitomir Radosavljevic +2 more
openaire +3 more sources
, 2021 The prediction of human diseases precisely is still an uphill battle task for better and timely treatment. A multidisciplinary diabetic disease is a life-threatening disease all over the world.
Khan, Tahir Abbas +6 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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