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05/22/2023
FSSA: Efficient 3-Round Secure Aggregation for Privacy-Preserving Federated Learning
Federated learning (FL) allows a large number of clients to collaborativ...
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01/01/2023
A Functional approach for Two Way Dimension Reduction in Time Series
The rise in data has led to the need for dimension reduction techniques,...
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11/04/2022
ISA-Net: Improved spatial attention network for PET-CT tumor segmentation
Achieving accurate and automated tumor segmentation plays an important r...
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10/05/2022
Spot-on: A Checkpointing Framework for Fault-Tolerant Long-running Workloads on Cloud Spot Instances
Spot instances offer a cost-effective solution for applications running ...
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07/27/2022
Distributional Actor-Critic Ensemble for Uncertainty-Aware Continuous Control
Uncertainty quantification is one of the central challenges for machine ...
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07/22/2022
Delay-Doppler Reversal for OTFS System in Doubly-selective Fading Channels
The recent proposed orthogonal time frequency space (OTFS) modulation sh...
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06/16/2022
Adaptive Algorithm for Quantum Amplitude Estimation
Quantum amplitude estimation is a key sub-routine of a number of quantum...
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04/20/2022
Sequential Point Clouds: A Survey
Point cloud has drawn more and more research attention as well as real-w...
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04/05/2022
Service resource allocation problem in the IoT driven personalized healthcare information platform
With real-time monitoring of the personalized healthcare condition, the ...
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04/03/2022
Dynamic physical activity recommendation on personalised mobile health information service: A deep reinforcement learning approach
Mobile health (mHealth) information service makes healthcare management ...
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03/30/2022
PSMNet: Position-aware Stereo Merging Network for Room Layout Estimation
In this paper, we propose a new deep learning-based method for estimatin...
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01/18/2022
K-nearest Multi-agent Deep Reinforcement Learning for Collaborative Tasks with a Variable Number of Agents
Traditionally, the performance of multi-agent deep reinforcement learnin...
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09/28/2021
An Offline Deep Reinforcement Learning for Maintenance Decision-Making
Several machine learning and deep learning frameworks have been proposed...
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09/28/2021
Deep Reinforcement Learning with Adjustments
Deep reinforcement learning (RL) algorithms can learn complex policies t...
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04/01/2021
FESTA: Flow Estimation via Spatial-Temporal Attention for Scene Point Clouds
Scene flow depicts the dynamics of a 3D scene, which is critical for var...
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12/28/2020
Interactions of Linguistic and Domain Overhypotheses in Category Learning
For humans learning to categorize and distinguish parts of the world, th...
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11/24/2020
A Non-linear Function-on-Function Model for Regression with Time Series Data
In the last few decades, building regression models for non-scalar varia...
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11/09/2020
Challenges of Applying Deep Reinforcement Learning in Dynamic Dispatching
Dynamic dispatching aims to smartly allocate the right resources to the ...
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09/11/2020
Spatio-Temporal Functional Neural Networks
Explosive growth in spatio-temporal data and its wide range of applicati...
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06/05/2020
Health Indicator Forecasting for Improving Remaining Useful Life Estimation
Prognostics is concerned with predicting the future health of the equipm...
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04/26/2020
Weakly Supervised Semantic Segmentation in 3D Graph-Structured Point Clouds of Wild Scenes
The deficiency of 3D segmentation labels is one of the main obstacles to...
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12/21/2019
Regularized Operating Envelope with Interpretability and Implementability Constraints
Operating envelope is an important concept in industrial operations. Acc...
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05/10/2019
Integrating Tensor Similarity to Enhance Clustering Performance
Clustering aims to separate observed data into different categories. The...
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04/19/2018
Reliable IoT Storage: Minimizing Bandwidth Use in Storage Without Newcomer Nodes
This letter characterizes the optimal policies for bandwidth use and sto...
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12/11/2017