Results 11 to 20 of about 2,056,908 (228)
Sensors, 2020 Due to industrialization and the rising demand for energy, global energy consumption has been rapidly increasing. Recent studies show that the biggest portion of energy is consumed in residential buildings, i.e., in European Union countries up to 40% of ...
Zulfiqar Ahmad Khan +5 more
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A Novel CNN-GRU-Based Hybrid Approach for Short-Term Residential Load Forecasting
IEEE Access, 2020 Electric energy forecasting domain attracts researchers due to its key role in saving energy resources, where mainstream existing models are based on Gradient Boosting Regression (GBR), Artificial Neural Networks (ANNs), Extreme Learning Machine (ELM ...
Muhammad Sajjad +6 more
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Frontiers in Psychology, 2022 Pathological gaming among adolescents has been reported to hamper the achievement of a balanced life and to threaten the development of social competencies.
Hyeon Gyu Jeon +3 more
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Classification of Heart Sound Signal Using Multiple Features
Applied Sciences, 2018 Cardiac disorders are critical and must be diagnosed in the early stage using routine auscultation examination with high precision. Cardiac auscultation is a technique to analyze and listen to heart sound using electronic stethoscope, an electronic ...
Yaseen, Gui-Young Son, Soonil Kwon
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IEEE Access, 2020 The extensive video surveillance networks gather an enormous amount of data exponentially on a daily basis and its management is a challenging task, requiring efficient and effective techniques for searching, indexing, and retrieval.
Amin Ullah +4 more
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Effect of Compressed Sensing Rates and Video Resolutions on a PoseNet Model in an AIoT System
Applied Sciences, 2022 To provide an artificial intelligence service such as pose estimation with a PoseNet model in an Artificial Intelligence of Things (AIoT) system, an Internet of Things (IoT) sensing device sends a large amount of data such as images or videos to an AIoT ...
Hye-Min Kwon, Jeongwook Seo
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Contents of Indonesian Journal Of Geography Vol 48 No 1 June 2016
Indonesian Journal of Geography, 2016 .
Contents .
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Deep Learning Assisted Buildings Energy Consumption Profiling Using Smart Meter Data
Sensors, 2020 The exponential growth in population and their overall reliance on the usage of electrical and electronic devices have increased the demand for energy production. It needs precise energy management systems that can forecast the usage of the consumers for
Amin Ullah +6 more
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