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Harnessing Temporal Information for Efficient Edge AI
Deep Learning is becoming increasingly relevant in edge and Internet-of-Things
applications. However, deploying models on embedded devices is challenging due to their …
applications. However, deploying models on embedded devices is challenging due to their …
Temporal decisions: Leveraging temporal correlation for efficient decisions in early exit neural networks
Deep Learning is becoming increasingly relevant in Embedded and Internet-of-things
applications. However, deploying models on embedded devices poses a challenge due to …
applications. However, deploying models on embedded devices poses a challenge due to …
Leveraging Temporal Patterns: Automated Augmentation to Create Temporal Early Exit Networks for Efficient Edge AI
In embedded systems, efficient deep learning solutions are crucial to balance accuracy and
resource constraints. Early Exit Neural Networks offer a promising solution, but their manual …
resource constraints. Early Exit Neural Networks offer a promising solution, but their manual …
[PDF][PDF] Innovative Techniques for Enhanced Data Analysis and Classification in Various Domains
I Chen, L Evans, A Mitchell, R Patel, E Walker… - Authorea …, 2023 - researchgate.net
The advancement of data analysis and classification is crucial for extracting valuable
insights from vast datasets across multiple domains. In this work, we present a suite of …
insights from vast datasets across multiple domains. In this work, we present a suite of …
[PDF][PDF] Deep Learning Techniques for Efficient Multimodal Medical Data Analysis
Y Li, X Zhao, J Xu, H Wang, S Liu, L Chen - researchgate.net
Deep learning has revolutionized various fields, including medical data analysis, where
efficient handling of multimodal information is crucial. This research introduces advanced …
efficient handling of multimodal information is crucial. This research introduces advanced …
[PDF][PDF] Scalable Algorithms for Real-Time Change Point Detection in Streaming Covariates
J Liu, H Chen, L Li, M Zhang, X Wang, Z Yang - researchgate.net
Real-time change point detection in streaming covariates presents significant challenges
due to high-dimensional data and the dynamic nature of environments. Traditional detection …
due to high-dimensional data and the dynamic nature of environments. Traditional detection …