Convolutional neural networks for intra-hour solar forecasting based on sky image sequences
Accurate and timely solar forecasts play an increasingly critical role in power systems.
Compared to longer forecasting timescales, very short-term solar forecasting has lagged …
Compared to longer forecasting timescales, very short-term solar forecasting has lagged …
Feature learning for human activity recognition using convolutional neural networks: A case study for inertial measurement unit and audio data
Abstract The use of Convolutional Neural Networks (CNNs) as a feature learning method for
Human Activity Recognition (HAR) is becoming more and more common. Unlike …
Human Activity Recognition (HAR) is becoming more and more common. Unlike …
Human activity recognition using an ensemble learning algorithm with smartphone sensor data
Human activity recognition (HAR) can monitor persons at risk of COVID-19 virus infection to
manage their activity status. Currently, many people are isolated at home or quarantined in …
manage their activity status. Currently, many people are isolated at home or quarantined in …
Semi-supervised and personalized federated activity recognition based on active learning and label propagation
One of the major open problems in sensor-based Human Activity Recognition (HAR) is the
scarcity of labeled data. Among the many solutions to address this challenge, semi …
scarcity of labeled data. Among the many solutions to address this challenge, semi …
Convolutional neural network-based human activity recognition for edge fitness and context-aware health monitoring devices
The vital signs can vary significantly depending on the daily physical activities, which may
not be due to defects of the organs. Under remote human health-monitoring applications, for …
not be due to defects of the organs. Under remote human health-monitoring applications, for …
[HTML][HTML] Audio-based Active and Assisted Living: A review of selected applications and future trends
V Despotovic, P Pocta, A Zgank - Computers in Biology and Medicine, 2022 - Elsevier
The development of big data, machine learning, and the Internet of Things has led to rapid
advances in the research field of Active and Assisted Living (AAL). A human is placed in the …
advances in the research field of Active and Assisted Living (AAL). A human is placed in the …
Human activity recognition via wearable devices using enhanced ternary weight convolutional neural network
M Jaberi, R Ravanmehr - Pervasive and Mobile Computing, 2022 - Elsevier
Human activity recognition (HAR) has been known as an active area for more than a
decade, and there are still crucial aspects that are intended as challenging problems …
decade, and there are still crucial aspects that are intended as challenging problems …
From lab to real world: Assessing the effectiveness of human activity recognition and optimization through personalization
Human activity recognition (HAR) algorithms today are designed and evaluated on data
collected in controlled settings, providing limited insights into their performance in real-world …
collected in controlled settings, providing limited insights into their performance in real-world …
Dolars, a distributed on-line activity recognition system by means of heterogeneous sensors in real-life deployments—a case study in the smart lab of the university of …
Activity Recognition (AR) is an active research topic focused on detecting human actions
and behaviours in smart environments. In this work, we present the on-line activity …
and behaviours in smart environments. In this work, we present the on-line activity …
A new architecture based on IoT and machine learning paradigms in photovoltaic systems to nowcast output energy
G Almonacid-Olleros, G Almonacid… - Sensors, 2020 - mdpi.com
The classic models used to predict the behavior of photovoltaic systems, which are based on
the physical process of the solar cell, are limited to defining the analytical equation to obtain …
the physical process of the solar cell, are limited to defining the analytical equation to obtain …