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Electricity consumer characteristics identification: A federated learning approach
Nowadays, smart meters are deployed in millions of residential households to gain
significant insights from fine-grained electricity consumption data. The information extracted …
significant insights from fine-grained electricity consumption data. The information extracted …
Deep blue AI: A new bridge from data to knowledge for the ocean science
G Chen, B Huang, X Chen, L Ge, M Radenkovic… - Deep Sea Research …, 2022 - Elsevier
The global ocean is the largest ecosystem on our planet, the scientific understanding of
which is the first step towards the sustainable development of the perpetual ocean. With the …
which is the first step towards the sustainable development of the perpetual ocean. With the …
Federated unsupervised representation learning
To leverage the enormous amount of unlabeled data on distributed edge devices, we
formulate a new problem in federated learning called federated unsupervised …
formulate a new problem in federated learning called federated unsupervised …
Application of machine learning models in groundwater quality assessment and prediction: progress and challenges
Y Huang, C Wang, Y Wang, G Lyu, S Lin, W Liu… - … Science & Engineering, 2024 - Springer
Groundwater quality assessment and prediction (GQAP) is vital for protecting groundwater
resources. Traditional GQAP methods can not adequately capture the complex relationships …
resources. Traditional GQAP methods can not adequately capture the complex relationships …
Secure and scalable healthcare data transmission in IoT based on optimized routing protocols for mobile computing applications
The Internet of Things (IoT) has impacted various aspects of life, but its profound effects on
the health sector are particularly striking because of its cutting‐edge nature. Mobile …
the health sector are particularly striking because of its cutting‐edge nature. Mobile …
Nanowire-based sensor array for detection of cross-sensitive gases using PCA and machine learning algorithms
In this work, a gas sensor array has been designed and developed comprising of Pt, Cu and
Ag decorated TiO 2 and ZnO functionalized GaN nanowires using industry standard top …
Ag decorated TiO 2 and ZnO functionalized GaN nanowires using industry standard top …
Autism spectrum disorder detection using facial images: A performance comparison of pretrained convolutional neural networks
Autism spectrum disorder (ASD) is a complex psychological syndrome characterized by
persistent difficulties in social interaction, restricted behaviours, speech, and nonverbal …
persistent difficulties in social interaction, restricted behaviours, speech, and nonverbal …
Approximate and Memorize (A&M): Settling opposing views in replay-based continuous unsupervised domain adaptation
Abstract Continuous Unsupervised Domain Adaptation (CUDA) can alleviate deep learning
models' performance degradation on out-of-distribution data. However, low stability, the …
models' performance degradation on out-of-distribution data. However, low stability, the …
Scalable and privacy-preserving federated principal component analysis
Principal component analysis (PCA) is an essential algorithm for dimensionality reduction in
many data science domains. We address the problem of performing a federated PCA on …
many data science domains. We address the problem of performing a federated PCA on …
[PDF][PDF] Early detection of autism in children using transfer learning
Autism spectrum disorder (ASD) is a challenging and complex neurodevelopment syndrome
that affects the child's language, speech, social skills, communication skills, and logical …
that affects the child's language, speech, social skills, communication skills, and logical …