Missing data imputation and sensor self-validation towards a sustainable operation of wastewater treatment plants via deep variational residual autoencoders
Missing data imputation and automatic fault detection of wastewater treatment plant (WWTP)
sensors are crucial for energy conservation and environmental protection. Given the …
sensors are crucial for energy conservation and environmental protection. Given the …
Personalizing activity recognition models through quantifying different types of uncertainty using wearable sensors
Recognizing activities of daily living (ADL) provides vital contextual information that
enhances the effectiveness of various mobile health and wellness applications …
enhances the effectiveness of various mobile health and wellness applications …
[HTML][HTML] Classifying falls using out-of-distribution detection in human activity recognition
D Roy, V Komini, S Girdzijauskas - AI Communications, 2023 - content.iospress.com
As the research community focuses on improving the reliability of deep learning, identifying
out-of-distribution (OOD) data has become crucial. Detecting OOD inputs during …
out-of-distribution (OOD) data has become crucial. Detecting OOD inputs during …
Out-of-distribution in Human Activity Recognition
D Roy, V Komini, S Girdzijauskas - 2022 Swedish Artificial …, 2022 - ieeexplore.ieee.org
With the growing interest of the research community in making deep learning (DL) robust
and reliable, detecting out-of-distribution (OOD) data has become critical. Detecting OOD …
and reliable, detecting out-of-distribution (OOD) data has become critical. Detecting OOD …
[HTML][HTML] Improving performance and quantifying uncertainty of body-rocking detection using bayesian neural networks
Body-rocking is an undesired stereotypical motor movement performed by some individuals,
and its detection is essential for self-awareness and habit change. We envision a pipeline …
and its detection is essential for self-awareness and habit change. We envision a pipeline …
[HTML][HTML] Towards Trustworthy Machine Learning For Human Activity Recognition
D Roy - 2024 - diva-portal.org
Abstract Human Activity Recognition presents a multifaceted challenge, encompassing the
complexity of human activities, the diversity of sensors used, and the imperative to safeguard …
complexity of human activities, the diversity of sensors used, and the imperative to safeguard …
[引用][C] AN EFFICIENT ADVANCE ARCHITECTURE ANALYSIS IN DETECT DISEASE OF RICE LEAVES BY DNN
R SENTHIL